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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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The model was developed to enable effective management of these important water resource systems under the EU Water Framework Directive. This is the first time such an approach has been fully adapted for the semi-arid systems typical of Mediterranean Europe. The sources of P loading delivered to each reservoir from its catchment were determined and scenario analysis was undertaken to predict the likely impact of catchment management strategies on the scale of rate of P loading delivered to each water body from its catchment. The results indicate the importance of farming and sewage treatment works\u002Fcollective septic tanks discharges as the main contributors to the total diffuse and point source P loading delivered to the reservoirs, respectively. A reduction in the total P loading for all study areas would require control of farming practices and more efficient removal of P from human wastes prior to discharge to surface waters. The scenario analysis indicates a strategy based solely on reducing the agricultural P surplus may result in only a slow improvement in water quality, which would be unlikely to support the generation of good ecological status in reservoirs. The model application indicates that a reduction of P-inputs to the reservoirs should first focus on reducing P loading from sewage effluent discharges through the introduction of tertiary treatment (P-stripping) in all major residential areas. The fully calibrated export coefficient modelling approach transferred well to semi-arid regions, with the only significant limitation being the availability of suitable input data to drive the model. Further studies using this approach in semi-arid catchments are now needed to increase the knowledge of nutrient export behaviours in semi-arid regions.",{"EN":962},"Catchment Phosphorous Losses: An Export Coefficient Modelling Approach with Scenario Analysis for Water Management",{"VOID":964},"Alvarez-Cobelas M, Sánchez-Andrés R, Sánchez-Carrillo S, Angeler DG (2010) Nutrient contents and export from streams in semiarid catchments of central Spain. J Arid Environ 74(8):933–945\nAlves AL, Carvalho NS, Castel-Branco da Silveira S, Marques JP, Costa Z, Horta ALL (2003) The abandonment of agriculture. Agro-Environmental Working Group. Ministry of Agriculture, Rural Development and Fisheries and Ministry of the Environment and Ordenamento do Território, Lisbon [In Portuguese]\nAnbazhagan S, Ramasamy SM, Das Gupta S (2005) Remote sensing and GIS for artificial recharge study, runoff estimation and planning in Ayyar Basin, Tamil Nadu, India. Environ Geology 48(2):158–170\nBowes MJ, Smith JT, Jarvie HP, Neal C (2008) Modelling of phosphorus inputs to rivers from diffuse and point sources. Sci Total Environ 395:125–138\nBrandjes PJ, de Wit J, Van der Meer HG, Van Keulen H (1996) Environmental impact of animal manure management. Wageningen, International Agriculture Centre, The Netherlands\nBrett MT, Benjamin MM (2008) A reassessment of lake phosphorus retention and the nutrient loading concept in limnology. Freshw Biol 53:194–211\nCabecinha E, Lourenço M, Moura JP, Pardal MA, Cabral JÁ (2009a) A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. Ecol Model 220(19):2559–2569\nCabecinha E, Cortes R, Pardal MA, Cabral JÁ (2009b) A Stochastic Dynamic Methodology (StDM) for reservoir’s water quality management: Validation of a multi-scale approach in a south European basin (Douro, Portugal). Ecol Indic 9(2):329–345\nCao W, Bowden WB, Davie T et al (2009) Modelling Impacts of Land Cover Change on Critical Water Resources in the Motueka River Catchment, New Zealand. Water Resour Manage 23(1):137–151\nCerqueira MA, Silva JF, Magalhães FP, Soares FM, Pato JJ (2008) Assessment of water pollution in the Antuã River basin (Northwestern Portugal). Environ Monit Assess 142:325–335\nDiogo PA, Fonseca M, Coelho PS, Mateus NS, Almeida MC, Rodrigues AC (2008) Reservoir phosphorus sources evaluation and water quality modelling in a transboundary watershed. Desalination 226:200–214\nEuropean Commission (2002) Common Implementation Strategy for the Water Framework Directive. Guidance Document No. 3, Analysis of Pressures and Impacts. The Directorate General Environment of the European Commission, Brussels\nEuropean Commission (2006) Rural Development in the European Union—Statistical and Economic Information. European Commission, Directorate-General for Agriculture and Rural Development, Brussels\nEuropean Communities (2006) European Communities Good Agricultural Practices for Protection of Waters. Regulations 2006, S.I. No. 378 of 2006. The Stationery Office, Dublin\nFoy RH, Lennox SD, Gibson CE (2003) Changing perspectives on the importance of urban phosphorus inputs as the cause of nutrient enrichment in Lough Neagh. Sci Total Environ 310(1–3):87–99\nGeraldes AM, Boavida MJ (2003) Distinct age and landscape influence on two reservoirs under the same climate. Hydrobiol 504:277–288\nIerodiaconou D, Laurenson L, Leblanc M et al (2005) The consequences of land use change on nutrient exports: a regional scale assessment in south-west Victoria, Australia. J Environ Manag 74:305–316\nINAG (Instituto da Água) (2002) Sado River Basin Management Plan – Final Report. Ministério do Ambiente e do Ordenamento do Território, Lisboa\nINAG (Instituto da Água) (2009) Sado and Mira Hydrographic Region: Water Management Issues. National Water Institute and Administration of Alentejo Hydrographic Region, Lisboa\nINAG (Instituto da Água) (2010) National Information System of Hydrologic Resources. http:\u002F\u002Fsnirh.pt. Accessed 30 January 2010\nINIA-LQARS (Instituto Nacional de Investigação Agrária – Laboratório Químico Agrícola Rebelo da Silva) (2005) Fertilisation manual of cultivated crops.Ministry of Agriculture, Rural Development and Fisheries, Lisboa [In Portuguese]\nINSAAR (Inventário Nacional de Sistemas de Abastecimento de Água e de Águas Residuais) (2009) National Inventory of Water Supply Systems and Sewage Treatment Plants. http:\u002F\u002Finsaar.inag.pt\u002F. Accessed 28 December 2009\nJarvie HP, Neal C, Withers PJA (2006) Sewage-effluent phosphorus: a greater risk to river eutrophication than agricultural phosphorus? Sci Total Environ 360(1–3):246–253\nJohnes PJ (1996) Evaluation and management of the impact of land use on the nitrogen and phosphorus load delivered to surface waters: the export coefficient modelling approach. J Hydrol 183:323–349\nJohnes PJ (1999) Understanding lake and catchment history as a tool for integrated lake management. Hydrobiol 395:41–60\nJohnes PJ (2000) Quantifying the non-point source contribution to nutrient loading on freshwaters in 32 UK catchments. Verh Int Verein Limnol 27:1306–1309\nJones RA, Lee GF (1982) Recent advances in assessing impact of phosphorus loads on eutrophication-related water quality. Water Res 16(5):503–515\nJohnes PJ, Heathwaite AL (1997) Modelling the impact of land use change on water quality in agricultural catchments. Hydrol Process 11:269–286\nJohnes PJ, Butterfield D (2002) Landscape, regional and global estimates of nitrogen flux from land to sea: errors and uncertainties. Biogeochem 57(58):429–476\nJohnes PJ, Moss B, Phillips GL (1996) The determination of water quality by land use livestock numbers and population data – testing of a model for use in conservation and water quality management. Freshw Biol 36:451–473\nJohnes PJ, Foy R, Butterfield D, Haygarth PM (2007) Land use scenarios for England and Wales: evaluation of management options to support ‘good ecological status’ in surface freshwaters. Soil Use Manag 23:176–194\nLepistö A, Granlunda K, Kortelainena P, Räike A (2006) Nitrogen in river basins: Sources, retention in the surface waters and peatlands, and fluxes to estuaries in Finland. Sci Total Environ 365(1–3):238–259\nLunn RJ, Adams R, Mackay R, Dunn SM (1996) Development and application of a nitrogen modelling system for large catchments. J Hydrol 174:285–304\nMatias NG, Boavida MJ (2005) Effects of catchment development on the trophic status of a deep and a shallow reservoir in Portugal. Lake Reserv Manag 21(3):350–360\nMatias NG, Gago J, Boavida MJ (2008) Catchment consultation for water management: the case of two Portuguese reservoirs with different water quality. Int J Environ Stud 65(6):737–754\nMADRP (Ministério da Agricultura, do Desenvolvimento Rural e das Pescas) (2000) Basic Manual of Agricultural Practices: Soil and water conservation. Ministry of Agriculture, Rural Development and Fisheries Publications, Lisboa [In Portuguese]\nNational Statistics Institute (Instituto Nacional de Estatística, Portugal) (2001a) Territorial Census. National Statistics Institute of Portugal, Lisboa\nNational Statistics Institute (Instituto Nacional de Estatística, Portugal) (2001b) Agricultural Census. National Statistics Institute of Portugal, Lisboa\nNunes JM, Pereira S, Albardeiro A, Silva C, López-Piñero A, Pintado C (2001) Potentialities of olive mill waste utilisation as organic fertiliser for Mediterranean Region soils. Revista de Ciências Agrárias 24(3\u002F4):116–175\nNunes JP, Seixas J, Pacheco NR (2007) Vulnerability of water resources, vegetation productivity and soil erosion to climate change in Mediterranean watersheds. Hydrol Process 22(16):3115–3134\nOECD (1982) Eutrophication of waters: Monitoring, assessment, and control. Organisation for Economic Co-operation and Development, Paris\nOlsson JA, Andersson L (2007) Possibilities and problems with the use of models as a communication tool in water resource management. Water Resour Manage 21:97–110\nPortuguese Environmental Agency (Agência Portuguesa do Ambiente) (2010) Corine Land Cover 1990 and 2006. http:\u002F\u002Fwww.apambiente.pt. Accessed 3 January 2010\nReckhow KH, Simpson JJ (1980) A procedure using modelling and error analysis for prediction of lake phosphorus from land use information. Can J Fish Aquat Sci 37:1439–1448\nSalvia-Castellví M, Iffly JF, Borght PV, Hoffmann L (2005) Dissolved and particulate nutrient export from rural catchments: A case study from Luxembourg. Sci Total Environ 344(1–3):51–65\nSkop E, Sorensen PB (1998) GIS-based modelling of solute fluxes at the catchment scale: a case study of the agricultural contribution to the riverine nitrogen loading in the Vejle Fjord catchment, Denmark. Ecol Model 106:291–310\nSmith RV, Jordan C, Annett JA (2005) A phosphorus budget for Northern Ireland: inputs to inland and coastal waters. J Hydrol 304:193–202\nSoares FB, Coelho C (2004) Analysis of the impact of the Luxembourg agreement on reform of the common agricultural policy on the agri-food sector of Portugal: an application of the AG-MEMOD model. Paper prepared for the Fourth National Meeting of Agricultural Economists, Faro, Portugal\nSoranno PA, Hubler SL, Carpenter SR, Lathrop RC (1996) Phosphorus loads to surface waters: a simple model to account for spatial pattern of land use. Ecol Applic 6:865–878\nStyczen M, Storm B (1993) Modelling of N-movements on catchment scale-a tool for analysis and decision making. I. Model description. Fert Res 36:1–6\nTranter RB, Swinbank A, Wooldridge MJ et al (2007) Implications for food production, land use and rural development of the European Union’s Single Farm Payment: Indications from a survey of farmers’ intentions in Germany, Portugal and the UK. Food Policy 32:656–671\nUrban Waste Water Treatment Directive (UWWT; 91\u002F271\u002FEEC): OJ L135 40–52,1991. Amended to clarify standards for total N and P by Directive 98\u002F15\u002FEEC, OJ 67 29–30, 1998.\nWater Framework Directive (2000\u002F60\u002FEC): OJ L327 1–72, 2000",{"VOID":966},"10.1007\u002Fs11269-011-9946-3","PUBLICATION","Auto Verify","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs11269-011-9946-3",[971,987],{"id":972,"sortIndex":32,"researcher":28,"roles":973,"affiliations":975,"properties":984,"displayName":986,"givenName":28,"familyName":28},"bfd8c279-054d-446b-8edd-30c844e72436",[974],"AUTHOR",[976],{"id":977,"sortIndex":32,"affiliation":978,"properties":28},"fc1e94ff-f3ac-4eac-8548-238a12f6905d",{"id":977,"createTime":28,"updateTime":28,"relativeEntities":979,"slug":28,"properties":980,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":983,"statistic":28},[],{"title":981},{"VI":982},"Department of Sociology, Instituto de Ciências do Trabalho e da Empresa—Lisbon University Institute, Lisboa, Portugal",[],{"title":985},{"VI":986},"Nuno-Gonçalo Matias",{"id":988,"sortIndex":40,"researcher":28,"roles":989,"affiliations":990,"properties":999,"displayName":1001,"givenName":28,"familyName":28},"3522bd85-fcb1-42f9-aa96-62b30472755a",[974],[991],{"id":992,"sortIndex":32,"affiliation":993,"properties":28},"4c4d78cb-4a4e-4e01-b7b6-2e7a7e567e30",{"id":992,"createTime":28,"updateTime":28,"relativeEntities":994,"slug":28,"properties":995,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":998,"statistic":28},[],{"title":996},{"VI":997},"Aquatic Environments Research Centre, School of Human and Environmental Sciences, University of Reading, Reading, UK",[],{"title":1000},{"VI":1001},"Penny J. Johnes","ARTICLE",{"url":969,"publisher":1004,"properties":1049},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1005,"slug":872,"properties":1006,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1009,"manageAffiliations":1018,"indexDatabases":1029,"url":28,"thumbnailPath":28,"statistic":1044,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1007,"title":1008},{"VOID":875},{"EN":877},[1010,1014],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1011,"label":1012,"description":1013,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1015,"label":1016,"description":1017,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1019,1024],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1020,"slug":28,"properties":1021,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1023,"statistic":28},[],{"title":1022},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1025,"slug":28,"properties":1026,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1028,"statistic":28},[],{"title":1027},{"EN":905},[907],[1030,1037],{"id":910,"indexDatabase":1031,"url":922,"indexYears":28,"academicFieldIds":1036,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1032,"label":1033,"description":1034,"key":919,"publicationTags":1035,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1038,"url":933,"indexYears":934,"academicFieldIds":1043,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1039,"label":1040,"description":1041,"key":781,"publicationTags":1042,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1045,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1046,"totalCitation":942,"totalCitationByYear":1047,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1048,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1050,"volume":1052},{"VOID":1051},"1041-1064",{"VOID":1053},"26","2011-11-22",2011,[921,938],false,{"id":1059,"createTime":1060,"updateTime":1061,"relativeEntities":1062,"slug":1063,"properties":1064,"entityType":967,"verifyStatus":26,"verifyTime":1061,"verifyNote":968,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1073,"fullTextUrl":28,"authors":1074,"publicationType":1002,"publisherRelationship":1166,"citationCount":28,"citationInfo":28,"publishDate":1217,"publishYear":1218,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1219,"openAccess":28,"references":28,"isForceReanalyzing":1057},"003275f0-64d3-43c7-abda-0abfaa29ad21","2024-01-13T23:17:59.500+00:00","2025-02-11T10:49:55.389+00:00",[],"Assessment-of-Long-term-Groundwater-Use-Increase-and-Forest-Growth-Impact-on-Watershed-Hydrology",{"abstract":1065,"title":1067,"references":1069,"doi":1071},{"EN":1066},"Geum River basin is currently suffering from stream drying which is caused by various reasons. Among many reasons, the expansion of groundwater use and forest growth which are known to pose an influence on stream drying have significantly developed over the past 40 years in Geum River basin. Therefore, the periodic change of two factors were reflected to SWAT to figure out their influences on watershed hydrology and stream drying. The periodic change was considered by using 10-year period data from the 1980s (1976 ~ 1985) to the 2010s (2006 ~ 2015), and applying the condition to SWAT. The model was calibrated based on observed data of streamflow, evapotranspiration, at monitoring points including dam, weir, flux tower, and soil moisture sensor. The calibration result showed satisfactory result evaluated by coefficient of determination (R2), Nash–Sutcliffe Efficiency (NSE), scatter index (SI), and percent bias (PBIAS). The impact of groundwater use and forest growth was evaluated by hydrologic responses obtained by differentiating and comparing their conditions by period while settling weather conditions. As a result, the increase of groundwater use lowered groundwater recharge and groundwater flow while forest growth led to the rise of evapotranspiration which lessened surface runoff and the infiltration to soil layer. These two series of processes reduced total runoff showing decreased value of 2.7%, 6.3%, and 8.9% in 1990s, 2000s, and 2010s compared to 1980s.",{"EN":1068},"Assessment of Long-term Groundwater Use Increase and Forest Growth Impact on Watershed Hydrology",{"VOID":1070},"Bal M, Dandpat AK, Naik B (2021) Hydrological modeling with respect to impact of land-use and land-cover change on the runoff dynamics in Budhabalanga river basing using ArcGIS and SWAT model. Remote Sens Appl Soc Environ 23:100527\nBirkinshaw SJ, Bathurst JC, Robinson M (2014) 45 years of non-stationary hydrology over a forest plantation growth cycle, Coalburn catchment, Northern England. J Hydrol 519:559–573\nCosgrove DM, Johnson GS (2005) Aquifer management zones based on simulated surface-water response functions. J Water Resour Plan Manag 131(2):89–100\nChung IM, Chang SW (2016) Analysis and evaluation of hydrological components in a water curtain cultivation site. J Korea Water Resour Assoc 49(9):731–740\nGleeson T, VanderSteen J, Sophocleous MA, Taniguchi M, Alley WM, Allen DM, Zhou Y (2010) Groundwater sustainability strategies. Nat Geosci 3:378–379\nHou Y, Zhang M, Meng Z, Liu S, Sun P, Yang T (2018) Assessing the impact of forest change and climate variability on dry season runoff by an improved single watershed approach: A comparative study in two large watersheds. China Forests 9(1):46\nJung CG, Lee J, Lee Y, Kim S (2019) Quantification of stream drying phenomena using grid-based hydrological modeling via long-term data mining throughout South Korea including ungauged areas. Water 11(3):477\nJung CG, Kim SJ (2017) Evaluation of land use change and groundwater use impact on stream drying phenomena using a grid-based continuous hydrologic model. Paddy Water Environ 15(1):111–122\nJung KS, Cho HS, Kim JY, Shim MP (2003) Analysis of drying streams characteristics using a GIS. J Korea Water Resour Assoc 36(6):1083–1095\nKim NW, Lee J, Lee JE, Won YS (2012) Development of relational formula between groundwater pumping rate and streamflow depletion. J Korea Water ResourAssoc 45(12):1243–1258\nKirk S, Herbert AW (2002) Assessing the impact of groundwater abstractions on river flows. Geol Soc, London, Special Publications 193(1):211–233\nKomasi M, Alizadefard A, Ahmadi M (2021) Optimal management of groundwater abstraction using NSGA-II, SPEA II and PESA algorithms (Case study: Silakhor plain). J Water Soil Conserv 28(3):131–151\nLee G, Shin Y, Jung Y (2014) Development of web-based RECESS model for estimating baseflow using SWAT. Sustainability 6(4):2357–2378\nLuo Y, Arnold J, Allen P, Chen X (2012) Baseflow simulation using SWAT model in an inland river basin in Tianshan mountains, Northwest China. Hydrol Earth Syst Sci 16(4):1259–1267\nMackay DS, Band LE (1997) Forest ecosystem processes at the watershed scale: dynamic coupling of distributed hydrology and canopy growth. Hydrol Process 11(9):1197–1217\nMessager ML, Lehner B, Cockburn C, Lamouroux N, Pella H, Snelder T, Tockner K, Trautmann T, Watt C, Datry T (2021) Global prevalence of non perennial rivers and streams. Nature 594(7863):391–397\nMukherjee A, Bhanja SN, Wada Y (2018) Groundwater depletion causing reduction of baseflow triggering Ganges river summer drying. Sci Rep 8(1):1–9\nNeitsch SL, Arnold JG, Kiniry JR, Williams JR (2005) Soil and water assessment tool theoretical documentation. Version 2005. Springer, Berlin\nOstad-Ali-Askari K, Shayannejad M (2021) Quantity and quality modelling of groundwater to manage water resources in Isfahan-Borkhar Aquifer. Environ Dev Sustain 23(11):15943–15959\nPark G, Lee H, Koo MH, Kim Y (2016) Strategies for an effective artificial recharge in alluvial stream-aquifer systems undergoing heavy seasonal pumping. J Geol Soc Korea 52(3):211–219\nPark S, Kim H, Jang C (2021) Impact of groundwater abstraction on hydrological responses during extreme drought periods in the Boryeong Dam catchment. Korea Water 13(15):2132\nPrice AN, Jones CN, Hammond JC, Zimmer MA, Zipper SC (2021) The drying regimes of non-perennial rivers and streams. Geophys Res Lett 48(14):e2021GL093298\nShanafield M, Bourke SA, Zimmer MA, Costigan KH (2021) An overview of the hydrology of non-perrenial rivers and streams. Wiley Interdiscip Rev Water 8(2):e1504\nShi P, Chen C, Srinivasan R, Zhang X, Cai T, Fang X, Li Q (2011) Evaluating the SWAT model for hydrological modeling in the Xixian watershed and a comparison with the XAJ model. Water Resour Manag 25(10):2595–2612\nWang K, Onodera SI, Saito M, Shimizu Y, Iwata T (2022) Effects of forest growth in different vegetation communities on forest catchment water balance. Sci Total Environ 809:151159\nWang Y, Shao J, Su C, Cui Y, Zhang Q (2019) The application of improved SWAT model to hydrological cycle study in karst area of South China. Sustainability 11(18):5024\nWarix SR, Godsey SE, Lohse KA, Hale RL (2021) Influence of groundwater and topography on stream drying in semi-arid headwater streams. Hydrol Process 35(5):e14185\nWen F, Chen X (2006) Evaluation of the impact of groundwater irrigation on streamflow in Nebraska. J Hydrol 327(3–4):603–617\nWoo SY, Jung CG, Lee JW, Kim SJ (2019) Evaluation of watershed scale aquatic ecosystem health by SWAT modeling and random forest technique. Sustainability 11(12):3397\nYongwei Y, Xinsheng W, Fang Y, Jinyan Z (2013) Examination of the quantitative relationship between vegetation canopy height and LAI. Adv Meteorol 6:2013\nYue S, Hashino M (2005) Statistical interpretation of the impact of forest growth on streamflow of the Sameura basin, Japan. Environ Monit Assess 104(1):369–384\nZhang X, Srinivasan R, Arnold J, Izaurralde RC, Bosch D (2011) Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework. Hydrol Process 25(14):2313–2320",{"VOID":1072},"10.1007\u002Fs11269-022-03335-6","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-022-03335-6",[1075,1090,1114,1127,1140,1153],{"id":1076,"sortIndex":32,"researcher":28,"roles":1077,"affiliations":1078,"properties":1087,"displayName":1089,"givenName":28,"familyName":28},"83ca66d4-0cd3-4866-bc87-823dccf98c70",[974],[1079],{"id":1080,"sortIndex":32,"affiliation":1081,"properties":28},"ff7fcffe-1621-4289-9e0b-80ba79497cab",{"id":1080,"createTime":28,"updateTime":28,"relativeEntities":1082,"slug":28,"properties":1083,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1086,"statistic":28},[],{"title":1084},{"VI":1085},"Department of Civil, Environmental and Plant Engineering, Graduate School, Konkuk University, Seoul, South Korea",[],{"title":1088},{"VI":1089},"Wonjin Kim",{"id":1091,"sortIndex":40,"researcher":28,"roles":1092,"affiliations":1093,"properties":1111,"displayName":1113,"givenName":28,"familyName":28},"542cbbfb-deeb-49cc-9527-fdf5bf2c9475",[974],[1094,1102],{"id":1095,"sortIndex":32,"affiliation":1096,"properties":28},"cbc8d660-2f0f-4c05-a87d-0153227a2aab",{"id":1095,"createTime":28,"updateTime":28,"relativeEntities":1097,"slug":28,"properties":1098,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1101,"statistic":28},[],{"title":1099},{"VI":1100},"Division of Civil and Environmental Engineering, College of Engineering, Konkuk University, Seoul, South Korea",[],{"id":1103,"sortIndex":40,"affiliation":1104,"properties":1110},"7941f461-b54f-4a43-972d-25a46a9a3ee1",{"id":1103,"createTime":28,"updateTime":28,"relativeEntities":1105,"slug":28,"properties":1106,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1109,"statistic":28},[],{"title":1107},{"VI":1108},"College of Engineering, Konkuk University, Seoul, South Korea",[],{},{"title":1112},{"VI":1113},"Seongjoon 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Woo",{"id":1154,"sortIndex":46,"researcher":28,"roles":1155,"affiliations":1156,"properties":1163,"displayName":1165,"givenName":28,"familyName":28},"500e5389-ff8b-4c60-88fd-3ab1d968239b",[974],[1157],{"id":1080,"sortIndex":32,"affiliation":1158,"properties":28},{"id":1080,"createTime":28,"updateTime":28,"relativeEntities":1159,"slug":28,"properties":1160,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1162,"statistic":28},[],{"title":1161},{"VI":1085},[],{"title":1164},{"VI":1165},"Sehoon Kim",{"url":1073,"publisher":1167,"properties":1212},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1168,"slug":872,"properties":1169,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1172,"manageAffiliations":1181,"indexDatabases":1192,"url":28,"thumbnailPath":28,"statistic":1207,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1170,"title":1171},{"VOID":875},{"EN":877},[1173,1177],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1174,"label":1175,"description":1176,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1178,"label":1179,"description":1180,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1182,1187],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1183,"slug":28,"properties":1184,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1186,"statistic":28},[],{"title":1185},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1188,"slug":28,"properties":1189,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1191,"statistic":28},[],{"title":1190},{"EN":905},[907],[1193,1200],{"id":910,"indexDatabase":1194,"url":922,"indexYears":28,"academicFieldIds":1199,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1195,"label":1196,"description":1197,"key":919,"publicationTags":1198,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1201,"url":933,"indexYears":934,"academicFieldIds":1206,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1202,"label":1203,"description":1204,"key":781,"publicationTags":1205,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1208,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1209,"totalCitation":942,"totalCitationByYear":1210,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1211,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1213,"volume":1215},{"VOID":1214},"5801-5821",{"VOID":1216},"36","2022-10-17",2022,[921,938],{"id":1221,"createTime":1222,"updateTime":1223,"relativeEntities":1224,"slug":1225,"properties":1226,"entityType":967,"verifyStatus":26,"verifyTime":1223,"verifyNote":968,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1235,"fullTextUrl":28,"authors":1236,"publicationType":1002,"publisherRelationship":1278,"citationCount":28,"citationInfo":28,"publishDate":1329,"publishYear":1330,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1331,"openAccess":28,"references":28,"isForceReanalyzing":1057},"00452d7e-976f-4023-adce-ed5b3dca11fe","2023-12-26T02:10:01.819+00:00","2025-02-14T12:00:22.578+00:00",[],"The-Use-of-NARX-Neural-Networks-to-Forecast-Daily-Groundwater-Levels",{"abstract":1227,"title":1229,"references":1231,"doi":1233},{"EN":1228},"The lack of information to manage groundwater for irrigation is one of the biggest concerns for farmers and stakeholders in agricultural areas of Mississippi. In this study, we present a novel implementation of a nonlinear autoregressive with exogenous inputs (NARX) network to simulate daily groundwater levels at a local scale in the Mississippi River Valley Alluvial (MRVA) aquifer, located in the southeastern United States. The NARX network was trained using the Levenberg-Marquardt (LM) and Bayesian Regularization (BR) algorithms, and the results were compared to identify an optimal architecture for the forecasting of daily groundwater levels over time. The training algorithms were implemented using different hidden node combinations and delays (5, 25, 50, 75, and 100) until the optimal network was found. Eight years of daily historical input time series including precipitation and groundwater levels were used to forecast groundwater levels up to three months ahead. The comparison between LM and BR showed that NARX-BR is superior in forecasting daily levels based on the Mean Squared Error (MSE), coefficient of determination (R2), and Nash-Sutcliffe coefficient of efficiency. The results showed that BR with two hidden nodes and 100 time delays provided the most accurate prediction of groundwater levels with an error of ± 0.00119 m. This innovative study is the first of its kind and will provide significant contributions for the implementation of data-based models (DBMs) in the prediction and management of groundwater for agricultural use.",{"EN":1230},"The Use of NARX Neural Networks to Forecast Daily Groundwater Levels",{"VOID":1232},"Abdulkadir SJ, Yong S-P (2015) Scaled UKF–NARX hybrid model for multi-step-ahead forecasting of chaotic time series data. Soft Comput 19:3479–3496. doi:10.1007\u002Fs00500-015-1833-z\nAdeloye A, De Munari A (2006) Artificial neural network based generalized storage–yield–reliability models using the Levenberg–Marquardt algorithm. J Hydrol 326:215–230\nAnderson MG (2005) Encyclopedia of hydrological sciences vol 1. Chichester; Hoboken: J. Wiley\nAntonopoulos VZ, Georgiou PE, Antonopoulos ZV (2015) Dispersion coefficient prediction using empirical models and ANNs. Environ Process 2:379–394. doi:10.1007\u002Fs40710-015-0074-6\nArthur JK (2001) Hydrogeology, model description, and flow analysis of the Mississippi River alluvial aquifer in northwestern Mississippi, vol 1\nAsefa T, Wanakule N, Adams A (2007) Field-scale application of three types of neural networks to predict ground-water levels. JAWRA J Am Water Resour Assoc 43:1245–1256\nBarlow JRB, Clark BR (2011) Simulation of water-use conservation scenarios for the Mississippi Delta using an existing regional groundwater flow model. USGS\nCathcart TP, Wax CL, Pote JW, Triyono S (2007) A climatological basis for conserving groundwater and reducing overflow in aquaculture ponds in the Southeast United States. Aquac Eng 36:225–232\nChang F-J, Chen P-A, Liu C-W, Liao VH-C, Liao C-M (2013) Regional estimation of groundwater arsenic concentrations through systematical dynamic-neural modeling. J Hydrol 499:265–274. doi:10.1016\u002Fj.jhydrol.2013.07.008\nChang F-J, Tsai Y-H, Chen P-A, Coynel A, Vachaud G (2015) Modeling water quality in an urban river using hydrological factors–data driven approaches. J Environ Manag 151:87–96\nChang F-J, Chang L-C, Huang C-W, Kao IF (2016) Prediction of monthly regional groundwater levels through hybrid soft-computing techniques. J Hydrol. doi:10.1016\u002Fj.jhydrol.2016.08.006\nCoulibaly P, Anctil F, Aravena R, Bobée B (2001) Artificial neural network modeling of water table depth fluctuations. Water Resour Res 37:885–896. doi:10.1029\u002F2000wr900368\nDaliakopoulos IN, Coulibaly P, Tsanis IK (2005) Groundwater level forecasting using artificial neural networks. J Hydrol 309:229–240. doi:10.1016\u002Fj.jhydrol.2004.12.001\nDiaconescu E (2008) The use of NARX neural networks to predict chaotic time series. WSEAS Trans Comp Res 3:182–191\nDyer J, Mercer A, Rigby JR, Grimes A (2015) Identification of recharge zones in the lower Mississippi River alluvial aquifer using high-resolution precipitation estimates. J Hydrol 531, Part 2:360–369. doi:10.1016\u002Fj.jhydrol.2015.07.016\nEmamgholizadeh S, Moslemi K, Karami G (2014) Prediction the groundwater level of bastam plain (Iran) by artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Water Resour Manag 28:5433–5446\nForesee FD, Hagan MT (1997) Gauss-Newton approximation to Bayesian learning. In: International Conference on Neural Networks. 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Hydrogeol J 19:1239–1252",{"VOID":1234},"10.1007\u002Fs11269-017-1598-5","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-017-1598-5",[1237,1252,1265],{"id":1238,"sortIndex":32,"researcher":28,"roles":1239,"affiliations":1240,"properties":1249,"displayName":1251,"givenName":28,"familyName":28},"ffb31576-bd16-443a-b8a3-87d8a1905b4f",[974],[1241],{"id":1242,"sortIndex":32,"affiliation":1243,"properties":28},"1610134f-daa6-46db-8252-5a29d4f4baed",{"id":1242,"createTime":28,"updateTime":28,"relativeEntities":1244,"slug":28,"properties":1245,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1248,"statistic":28},[],{"title":1246},{"VI":1247},"Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, USA",[],{"title":1250},{"VI":1251},"Sandra M. Guzman",{"id":1253,"sortIndex":40,"researcher":28,"roles":1254,"affiliations":1255,"properties":1262,"displayName":1264,"givenName":28,"familyName":28},"7a3d7e4f-5519-408b-afe8-6a46e06354ea",[974],[1256],{"id":1242,"sortIndex":32,"affiliation":1257,"properties":28},{"id":1242,"createTime":28,"updateTime":28,"relativeEntities":1258,"slug":28,"properties":1259,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1261,"statistic":28},[],{"title":1260},{"VI":1247},[],{"title":1263},{"VI":1264},"Joel O. Paz",{"id":1266,"sortIndex":123,"researcher":28,"roles":1267,"affiliations":1268,"properties":1275,"displayName":1277,"givenName":28,"familyName":28},"3e4f60ce-418b-4f70-a35f-8817b1492912",[974],[1269],{"id":1242,"sortIndex":32,"affiliation":1270,"properties":28},{"id":1242,"createTime":28,"updateTime":28,"relativeEntities":1271,"slug":28,"properties":1272,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1274,"statistic":28},[],{"title":1273},{"VI":1247},[],{"title":1276},{"VI":1277},"Mary Love M. Tagert",{"url":1235,"publisher":1279,"properties":1324},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1280,"slug":872,"properties":1281,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1284,"manageAffiliations":1293,"indexDatabases":1304,"url":28,"thumbnailPath":28,"statistic":1319,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1282,"title":1283},{"VOID":875},{"EN":877},[1285,1289],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1286,"label":1287,"description":1288,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1290,"label":1291,"description":1292,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1294,1299],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1295,"slug":28,"properties":1296,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1298,"statistic":28},[],{"title":1297},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1300,"slug":28,"properties":1301,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1303,"statistic":28},[],{"title":1302},{"EN":905},[907],[1305,1312],{"id":910,"indexDatabase":1306,"url":922,"indexYears":28,"academicFieldIds":1311,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1307,"label":1308,"description":1309,"key":919,"publicationTags":1310,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1313,"url":933,"indexYears":934,"academicFieldIds":1318,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1314,"label":1315,"description":1316,"key":781,"publicationTags":1317,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1320,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1321,"totalCitation":942,"totalCitationByYear":1322,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1323,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1325,"volume":1327},{"VOID":1326},"1591-1603",{"VOID":1328},"31","2017-03-06",2017,[921,938],{"id":1333,"createTime":1334,"updateTime":1335,"relativeEntities":1336,"slug":1337,"properties":1338,"entityType":967,"verifyStatus":26,"verifyTime":1351,"verifyNote":968,"languages":28,"translateLanguages":1352,"viewCount":32,"primaryUrl":1353,"fullTextUrl":28,"authors":1354,"publicationType":1002,"publisherRelationship":1385,"citationCount":28,"citationInfo":28,"publishDate":1436,"publishYear":1437,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1438,"openAccess":28,"references":28,"isForceReanalyzing":1057},"0053f9ca-fd10-43dc-9b23-d1b824a1254c","2024-01-27T03:37:15.365+00:00","2025-01-17T00:29:04.712+00:00",[],"Predicting-Monsoon-Floods-in-Rivers-Embedding-Wavelet-Transform-Genetic-Algorithm-and-Neural-Network",{"abstract":1339,"title":1342,"keywords":1345,"references":1347,"doi":1349},{"EN":1340,"VI":1341},"Monsoon floods are recurring hazards in most countries of South-East Asia. In this paper, a wavelet transform-genetic algorithm-neural network model (WAGANN) is proposed for forecasting 1-day-ahead monsoon river flows which are difficult to model as they are characterized by irregularly spaced spiky large events and sustained flows of varying duration. Discrete wavelet transform (DWT) is employed for preprocessing the time series and genetic algorithm (GA) for optimizing the initial parameters of an artificial neural network (ANN) prior to the network training. Depending on different inputs, four WAGANN models are developed and evaluated for predicting flows in two Indian Rivers, the Kosi and the Gandak. These rivers are infamous for carrying large flows during monsoon (June to Sept), making the entire North Bihar of India unsafe for habitation or cultivation. When compared, WAGANN models are found to be better than autoregression models (ARs) and GA-optimized ANN models (GANNs) which use original flow time series (OFTS) for inputs, in simulating river flows during monsoon. In addition, WAGANN models predicted relatively reasonable estimates for the extreme flows, showing little bias for underprediction or overprediction.","Lũ lụt mùa mưa là mối nguy hiểm tái diễn ở hầu hết các quốc gia Đông Nam Á. Bài báo này đề xuất một mô hình kết hợp giữa biến đổi wavelet, thuật toán di truyền và mạng nơron (WAGANN) nhằm dự đoán dòng chảy của sông trong 1 ngày tới vào mùa mưa, những dòng chảy này khó mô hình hóa do đặc điểm không đều và có các sự kiện lớn xuất hiện bất thường kèm theo các dòng chảy kéo dài với thời gian khác nhau. Biến đổi wavelet rời rạc (DWT) được sử dụng để xử lý dữ liệu thời gian, và thuật toán di truyền (GA) được áp dụng để tối ưu hóa các tham số ban đầu của mạng nơron nhân tạo (ANN) trước khi đào tạo mạng. Tùy thuộc vào các đầu vào khác nhau, bốn mô hình WAGANN được phát triển và đánh giá để dự đoán dòng chảy ở hai con sông Ấn Độ, Kosi và Gandak. Hai con sông này nổi tiếng với việc mang theo dòng chảy lớn vào mùa mưa (tháng 6 đến tháng 9), khiến toàn bộ khu vực Bắc Bihar của Ấn Độ trở nên không an toàn cho việc sinh sống hoặc canh tác. So với các mô hình tự hồi quy (AR) và các mô hình ANN tối ưu hóa bằng GA (GANN) sử dụng chuỗi thời gian dòng chảy gốc (OFTS) làm đầu vào, các mô hình WAGANN cho thấy khả năng mô phỏng dòng chảy sông trong mùa mưa tốt hơn. Hơn nữa, các mô hình WAGANN dự đoán các giá trị dòng chảy cực trị một cách khá hợp lý, cho thấy ít xu hướng thiên lệch trong việc dự đoán thấp hơn hoặc cao hơn.",{"EN":1343,"VI":1344},"Predicting Monsoon Floods in Rivers Embedding Wavelet Transform, Genetic Algorithm and Neural Network","Dự đoán lũ lụt mùa mưa ở các con sông sử dụng biến đổi wavelet, thuật toán di truyền và mạng nơron",{"VI":1346},"lũ lụt, mùa mưa, biến đổi wavelet, thuật toán di truyền, mạng nơron nhân tạo, dự đoán dòng chảy",{"VOID":1348},"Adamowski JF (2008) River flow forecasting using wavelet and cross-wavelet transform models. Hydrolo Process 22:4877–4891\nAdamowski JF, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91\nAddison PS, Murray KB, Watson JN (2001) Wavelet transform analysis of open channel wake flows. 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Water Resour Manag 22:217–227",{"VOID":1350},"10.1007\u002Fs11269-013-0446-5","2025-01-14T09:42:54.727+00:00",[30],"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-013-0446-5",[1355,1370],{"id":1356,"sortIndex":32,"researcher":28,"roles":1357,"affiliations":1358,"properties":1367,"displayName":1369,"givenName":28,"familyName":28},"e21a68c8-0924-40ca-9985-f56332c8ebbb",[974],[1359],{"id":1360,"sortIndex":32,"affiliation":1361,"properties":28},"412c292c-51f2-42b1-b852-5adf62b7147d",{"id":1360,"createTime":28,"updateTime":28,"relativeEntities":1362,"slug":28,"properties":1363,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1366,"statistic":28},[],{"title":1364},{"VI":1365},"Civil Engineering Department, BIT Mesra, Patna, India",[],{"title":1368},{"VI":1369},"Rajeev Ranjan Sahay",{"id":1371,"sortIndex":40,"researcher":28,"roles":1372,"affiliations":1373,"properties":1382,"displayName":1384,"givenName":28,"familyName":28},"0a7e85a0-9f80-4230-896a-5380367ee587",[974],[1374],{"id":1375,"sortIndex":32,"affiliation":1376,"properties":28},"4c8d5834-819f-46bf-9667-6a6ed3f17c27",{"id":1375,"createTime":28,"updateTime":28,"relativeEntities":1377,"slug":28,"properties":1378,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1381,"statistic":28},[],{"title":1379},{"VI":1380},"Civil Engineering Department, BIT Mesra, Ranchi, India",[],{"title":1383},{"VI":1384},"Ayush Srivastava",{"url":1353,"publisher":1386,"properties":1431},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1387,"slug":872,"properties":1388,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1391,"manageAffiliations":1400,"indexDatabases":1411,"url":28,"thumbnailPath":28,"statistic":1426,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1389,"title":1390},{"VOID":875},{"EN":877},[1392,1396],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1393,"label":1394,"description":1395,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1397,"label":1398,"description":1399,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1401,1406],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1402,"slug":28,"properties":1403,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1405,"statistic":28},[],{"title":1404},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1407,"slug":28,"properties":1408,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1410,"statistic":28},[],{"title":1409},{"EN":905},[907],[1412,1419],{"id":910,"indexDatabase":1413,"url":922,"indexYears":28,"academicFieldIds":1418,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1414,"label":1415,"description":1416,"key":919,"publicationTags":1417,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1420,"url":933,"indexYears":934,"academicFieldIds":1425,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1421,"label":1422,"description":1423,"key":781,"publicationTags":1424,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1427,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1428,"totalCitation":942,"totalCitationByYear":1429,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1430,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1432,"volume":1434},{"VOID":1433},"301-317",{"VOID":1435},"28","2013-12-18",2013,[921,938],{"id":1440,"createTime":1441,"updateTime":1442,"relativeEntities":1443,"slug":1444,"properties":1445,"entityType":967,"verifyStatus":26,"verifyTime":1442,"verifyNote":968,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1454,"fullTextUrl":28,"authors":1455,"publicationType":1002,"publisherRelationship":1508,"citationCount":28,"citationInfo":28,"publishDate":1559,"publishYear":1560,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1561,"openAccess":28,"references":28,"isForceReanalyzing":1057},"005cfccb-66d7-41e1-b05f-e53c72b7e96f","2024-01-11T14:30:36.862+00:00","2025-02-18T18:05:58.602+00:00",[],"Using-the-Concept-of-Common-Pool-Resources-to-Understand-Community-Perceptions-of-Diverse-Water-Sources-in-Adelaide-South-Australia",{"abstract":1446,"title":1448,"references":1450,"doi":1452},{"EN":1447},"Diversification and integration of water supply systems is occurring to advance both water security and environmental sustainability, but research into community perceptions of these changes is in its infancy. In this paper, water user group discussions of the advantages and disadvantages of the diverse water sources used in Adelaide, Australia, are analyzed in terms of the urban water system as a common pool resource: one competitively accessed by numerous users that put it at risk of depletion. The research method was a water planning activity, in which visual cues were utilised to help water users reflect on conditions that they perceived would enable acceptance of seven water source options and one water efficiency option. The key results were that water sources were perceived to be in two categories: bounded sources associated with eco-systems and viewed as common pool resources vulnerable to depletion. Unbounded sources such as rainwater in tanks, stormwater, and wastewater were seen as under-utilised sources to be further exploited if any risks to health could be mitigated. Finally, keys to acceptance were authority to govern, prevention of waste, and community engagement.",{"EN":1449},"Using the Concept of Common Pool Resources to Understand Community Perceptions of Diverse Water Sources in Adelaide, South Australia",{"VOID":1451},"Cools M, Brijs K, Tormans H, Moons E, Janssens D, Wets G (2011) The socio-cognitive links between road pricing acceptability and changes in travel-behavior. Transp Res A Policy Pract 45(8):779–788\nDillon P (2011) Water security for Adelaide, South Australia. In: Quentin Grafton R, Hussey K (eds) Water resources planning and management. Cambridge University Press, Cambridge, pp 505–526\nDolnicar S, Schäfer AI (2009) Desalinated versus recycled water: public perceptions and profiles of the accepters. J Environ Manag 90(2):888–900\nDunlap RE, Van Liere KD, Mertig AG, Jones RE (2000) Measuring Endorsement of the new ecological paradigm: a revised NEP scale. J Soc Issues 56(3):425–442\nFox D, Batley G, Blackburn D, Bone Y, Bryars S, Cheshire A, Collings G, Ellis D, Fairweather P, Fallowfield H (2007) The Adelaide coastal waters study. Final report volume 1-summary of study findingsRep. CSIRO, Glen Osmond\nFujii S (2006) Environmental concern, attitude toward frugality, and ease of behavior as determinants of pro-environmental behavior intentions. J Environ Psychol 26(4):262–268\nHardin G (1968) The tragedy of the commons. Science 162(3859):1243–1248\nHurlimann A (2008) Community attitudes to recycled water use: an urban Australian case study–part 2Rep. The Cooperative Research Centre for Water Quality and Treatment, Salisbury\nHurlimann A, Hemphill E, McKay J, Geursen G (2008) Establishing components of community satisfaction with recycled water use through a structural equation model. J Environ Manag 88(4):1221–1232\nJacobs MH, Buijs AE (2011) Understanding stakeholders’ attitudes toward water management interventions: role of place meanings. Water Resour Res 47(1)\nLeonard R, Walton A, Koth B, Green M, Spinks A, Myers B, Malkin S, Mankad A, Chacko P, Sharma A, Pezzaniti D (2013) Community acceptance of water sensitive urban design: six case studies. Goyder Institute for Water Research, Adelaide\nMankad A, Tapsuwan S (2011) Review of socio-economic drivers of community acceptance and adoption of decentralised water systems. J Environ Manag 92(3):380–391\nMankad A, Tucker D (2013) Alternative household water systems: perceptions of knowledge and trust among residents of South East Queensland. Ecopscyhology 4(4):296–307\nMankad A, Tucker D, Greenhill MP (2011) Mandated versus retrofitted tank owners: psychological factors predicting maintenance and management urban water security research alliance technical report no. 51\nMankad A, Walton A, Leonard R (2013) Public attitudes towards managed aquifer recharge and urban stormwater use in Adelaide, Goyder Institute for Water Research Technical Report Series No. 13\u002F10, Adelaide\nMarks J (2006) Taking the public seriously: the case of potable and non potable reuse. Desalination 187(1):137–147\nMarlow DR, Moglia M, Cook S, Beale DJ (2013) Towards sustainable urban water management: a critical reassessment. Water Res 47(20):7150–7161\nMurray Darling Basin Commission (2002) The living Murray: a discussion paper on restoring the health of the River Murray. Stage 1: informing and engaging the community. Murray Darling Basin Commission, Canberra\nNancarrow B, Leviston Z, Po M, Porter N, Tucker D (2008) What drives communities’ decisions and behaviours in the reuse of wastewater. Water Sci Technol 57(4):485–491\nNancarrow B, Leviston Z, Tucker D (2009) Measuring the predictors of communities’ behavioural decisions for potable reuse of wastewater. Water Sci Technol 60(12):3199–3209\nNancarrow B, Porter N, Leviston Z (2010) Predicting community acceptability of alternative urban water supply systems: a decision making model. Urban Water J 7(3):197–210\nOstrom E (1990) Governing the commons: the evolution of institutions for collective action. Cambridge University Press, Cambridge\nOstrom E (2008) The challenge of common-pool resources. Environ Sci Policy Sustain Dev 50(4):8–21\nOstrom E (2009) A general framework for analyzing sustainability of social-ecological systems. Science 325(5939):419–422\nOstrom E (2010) Polycentric systems for coping with collective action and global environmental change. Glob Environ Chang 20(4):550–557\nParks CD, Joireman J, Van Lange PA (2013) Cooperation, trust, and antagonism how public goods are promoted. Psychol Sci Public Interest 14(3):119–165\nQSR (2008) NVIVO8 www.qsrinternational.com\nRosenbloom JD (2013) Labeling nature as a common pool resource. In: Hirokawa KH (ed) Environmental Law and Contrasting Ideas of Nature: A Constructivist Approach. pp. 12–35\nSA Water (2007) Annual report 2006–2007. South Australian Water Corporation, Adelaide\nSA Water (2013) Annual report 2012–2013. South Australian Water Corporation, Adelaide\nSouth Australian Government (2012), South Australian water industry act 2012, edited\nSpies B, Dandy G (2012) Sustainable water management. Securing Australia’s future in a green economy. Melbourne Australian Academy of Technological Sciences and Engineering. pp. 146\nStoutenborough JW, Vedlitz A (2014) Public attitudes toward water management and drought in the United States. Water Resour Manag 28:697–714\nWiek A, Larson KL (2012) Water, people, and sustainability—a systems framework for analyzing and assessing water governance regimes. Water Resour Manag 26:3153–3171",{"VOID":1453},"10.1007\u002Fs11269-014-0906-6","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-014-0906-6",[1456,1480,1495],{"id":1457,"sortIndex":32,"researcher":28,"roles":1458,"affiliations":1459,"properties":1477,"displayName":1479,"givenName":28,"familyName":28},"43f0ddfe-4a9f-44d8-9849-56f043c015ef",[974],[1460,1468],{"id":1461,"sortIndex":32,"affiliation":1462,"properties":28},"5e0893d9-ece5-433d-b7bc-f14f4a46ca83",{"id":1461,"createTime":28,"updateTime":28,"relativeEntities":1463,"slug":28,"properties":1464,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1467,"statistic":28},[],{"title":1465},{"VI":1466},"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Floreat, Australia",[],{"id":1469,"sortIndex":40,"affiliation":1470,"properties":1476},"58c85083-0e1b-441d-9d19-64fdb39e0652",{"id":1469,"createTime":28,"updateTime":28,"relativeEntities":1471,"slug":28,"properties":1472,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1475,"statistic":28},[],{"title":1473},{"VI":1474},"University of Western Sydney, Penrith, Australia",[],{},{"title":1478},{"VI":1479},"Rosemary Leonard",{"id":1481,"sortIndex":40,"researcher":28,"roles":1482,"affiliations":1483,"properties":1492,"displayName":1494,"givenName":28,"familyName":28},"e5107a76-bd8b-43f6-a3d0-63e840dff04e",[974],[1484],{"id":1485,"sortIndex":32,"affiliation":1486,"properties":28},"75d39a57-7582-40a2-8fc6-071c8187d5b4",{"id":1485,"createTime":28,"updateTime":28,"relativeEntities":1487,"slug":28,"properties":1488,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1491,"statistic":28},[],{"title":1489},{"VI":1490},"CSIRO, Dutton Park, Australia",[],{"title":1493},{"VI":1494},"Andrea Walton",{"id":1496,"sortIndex":123,"researcher":28,"roles":1497,"affiliations":1498,"properties":1505,"displayName":1507,"givenName":28,"familyName":28},"2696521d-4231-4302-9c74-91f78e119eb1",[974],[1499],{"id":1485,"sortIndex":32,"affiliation":1500,"properties":28},{"id":1485,"createTime":28,"updateTime":28,"relativeEntities":1501,"slug":28,"properties":1502,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1504,"statistic":28},[],{"title":1503},{"VI":1490},[],{"title":1506},{"VI":1507},"Carol Farbotko",{"url":1454,"publisher":1509,"properties":1554},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1510,"slug":872,"properties":1511,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1514,"manageAffiliations":1523,"indexDatabases":1534,"url":28,"thumbnailPath":28,"statistic":1549,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1512,"title":1513},{"VOID":875},{"EN":877},[1515,1519],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1516,"label":1517,"description":1518,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1520,"label":1521,"description":1522,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1524,1529],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1525,"slug":28,"properties":1526,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1528,"statistic":28},[],{"title":1527},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1530,"slug":28,"properties":1531,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1533,"statistic":28},[],{"title":1532},{"EN":905},[907],[1535,1542],{"id":910,"indexDatabase":1536,"url":922,"indexYears":28,"academicFieldIds":1541,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1537,"label":1538,"description":1539,"key":919,"publicationTags":1540,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1543,"url":933,"indexYears":934,"academicFieldIds":1548,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1544,"label":1545,"description":1546,"key":781,"publicationTags":1547,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1550,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1551,"totalCitation":942,"totalCitationByYear":1552,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1553,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1555,"volume":1557},{"VOID":1556},"1697-1711",{"VOID":1558},"29","2015-01-09",2015,[921,938],{"id":1563,"createTime":1564,"updateTime":1565,"relativeEntities":1566,"slug":1567,"properties":1568,"entityType":967,"verifyStatus":26,"verifyTime":1565,"verifyNote":968,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1577,"fullTextUrl":28,"authors":1578,"publicationType":1002,"publisherRelationship":1665,"citationCount":28,"citationInfo":28,"publishDate":1716,"publishYear":1717,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1718,"openAccess":28,"references":28,"isForceReanalyzing":1057},"007473a0-77c9-4d5d-ac5a-3afce11181a5","2024-02-18T21:07:32.024+00:00","2025-02-12T03:55:01.347+00:00",[],"A-Numerical-Study-of-Hydrodynamic-Processes-and-Flood-Mitigation-in-a-Large-River-lake-System",{"abstract":1569,"title":1571,"references":1573,"doi":1575},{"EN":1570},"Floods out of all other water problems cause very large damages in China. Previous flood management plans mainly focused on a single river by controlling its water level and conveyance capacity, while research on mitigation solutions to flooding issues in river-lake systems is scarce. This study considers the Huai River - Lake Hongze system, which is one of the largest river-lake systems in China. Very large damages associated with small floods are frequently observed in this river-lake system, although a series of flood management measures have been implemented in the Huai River Basin since the middle of the last century. An unstructured-grid finite-volume numerical model was applied to simulate hydrodynamic processes in this system, which is characterized by discrepant spatial scales between these two types of water bodies. It is found that the lake affects the upstream river flooding, but lowering the lake level would have limited effects that would be rapidly impaired by the sharp meander bend connecting the river and the lake. The artificial cutoff of this intensively-embanked bend has great potential in reducing the river stage and flood damages, as the construction of a diversion channel would shorten the flow path and increase the hydraulic gradient. This study extends the current knowledge about the hydrodynamics of river-lake systems and is beneficial to flood mitigation strategies for similar systems.",{"EN":1572},"A Numerical Study of Hydrodynamic Processes and Flood Mitigation in a Large River-lake System",{"VOID":1574},"Bai X, Wang J, Schwab DJ, Yang Y, Luo L, Leshkevich GA, Liu S (2013) Modeling 1993–2008 climatology of seasonal general circulation and thermal structure in the Great Lakes using FVCOM. Ocean Model 65:40–63\nBen P (2010) The research and application of the hydrodynamic mathematical model on the middle part of Huai River between Bengbu Gate to Laozishan. Hefei University of Technology (in Chinese)\nBen-Dan TB, Shteinman B, Kamenir Y, Itzhak O, Hochman A (2001) Hydrodynamical effects on spatial distribution of enteric bacteria in the Jordan River - Lake Kinneret contact zone. Water Res 35:311–314\nCao Z, Duan H, Feng L, Ma R, Xue K (2017) Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales. Remote Sens Environ 192:98–113\nChen CS, Liu HD, Beardsley RC (2003) An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: Application to coastal ocean and estuaries. J Atmos Ocean Technol 20:159–186\nChen C, Beardsley RC, Cowles G (2006) An unstructured grid, finite-volume coastal ocean model (FVCOM) system. Oceanography 19:78–89\nChien N, Wan Z (1999) Mechanics of sediment transport. American Society of Civil Engineers, Reston\nDai M, Wang J, Zhang M, Chen X (2017) Impact of the Three Gorges Project operation on the water exchange between Dongting Lake and the Yangtze River. Int J Sedim Res 32:506–514\nDu Q, Tang H, Yuan S, Xiao Y (2016) Predicting flow rate and sediment in bifurcated river branches. Proc Inst Civ Eng Water Manag 169:156–167\nGalperin B, Kantha L, Hassid S, Rosati A (1988) A quasi-equilibrium turbulent energy model for geophysical flows. J Atmos Sci 45:55–62\nGualtieri C, Ianniruberto M, Filizola N (2019) On the mixing of rivers with a difference in density: The case of the Negro\u002FSolimões confluence, Brazil. J Hydrol 578:124029\nHan R, Suryadi FX (2004) Flood control and land use management in Mengwa retention area, Huai River Basin. Irrig Sci 53(4):385–395\nHe C, Rao YR, Skafel MG, Howell T (2006) Numerical modelling of the Grand River plume in Lake Erie during unstratified period. Water Qual Res J Can 41:16–23\nHuang W, Li C (2017) Cold front driven flows through multiple inlets of Lake Pontchartrain Estuary. Journal of Geophysical Research: Oceans 122(11):8627–8645\nHudson PF, Kesel RH (2000) Channel migration and meander-bend curvature in the lower Mississippi River prior to major human modification. Geology 28(6):531–534\nHudson PF, Middelkoop H, Stouthamer E (2008) Flood management along the Lower Mississippi and Rhine Rivers (The Netherlands) and the continuum of geomorphic adjustment. Geomorphology 101(1–2):209–236\nIanniruberto M, Trevethan M, Pinheiro A, Andrade JF, Dantas E, Filizola N, Santos A, Gualtieri C (2018) A field study of the confluence between Negro and Solimoes Rivers. Part 2: Bed morphology and stratigraphy. CR Geosci 350:43–54\nJi Z-G (2008) Hydrodynamics and water quality: Modeling rivers, lakes, and estuaries. Wiley, Hoboken\nLatrubesse EM (2008) Patterns of anabranching channels: The ultimate end-member adjustment of mega rivers. Geomorphology 101:130–145\nLei S, Wu D, Li Y, Wang Q, Huang C, Liu G, Zheng Z, Du C, Mu M, Xu J, Lv H (2019) Remote sensing monitoring of the suspended particle size in Hongze Lake based on GF-1 data. Int J Remote Sens 40:3179–3203\nLin CA, Wen L, Lu G, Wu Z, Zhang J, Yang Y, Zhu Y, Tong L (2010) Real-time forecast of the 2005 and 2007 summer severe floods in the Huaihe River Basin of China. J Hydrol 381(1–2):33–41\nLin ML, Lek S, Ren P, Li SH, Li W, Du X, Guo CB, Gozlan RE, Li ZJ (2017) Predicting impacts of south-to-north water transfer project on fish assemblages in Hongze Lake, China. J Appl Ichthyol 33:395–402\nLiu K, Yao C, Chen J, Li Z, Li Q, Sun L (2017) Comparison of three updating models for real time forecasting: a case study of flood forecasting at the middle reaches of the Huai River in East China. Stoch Env Res Risk Assess 31:1471–1484\nMellor GL, Yamada T (1982) Development of a turbulence closure model for geophysical fluid problems. Rev Geophys 20:851–875\nMinistry of Water Resources of the People’s Republic of China (2019) Bulletin of flood and drought disasters in China. China Water & Power Press, Beijing (in Chinese)\nNash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290\nNekouee N, Hamidi SA, Roberts PJW, Schwab DJ (2015) Assessment of a 3D Hydrostatic Model (POM) in the Near Field of a Buoyant River Plume in Lake Michigan. Water Air Soil Pollut 226\nPaturi S, Boegman L, Rao YR (2012) Hydrodynamics of eastern Lake Ontario and the upper St. Lawrence River. J Great Lakes Res 38:194–204\nQian M, Wang K (2017) Flood management in China: The Huaihe River Basin as a case study. In: Hromadka T (ed) Flood Risk Management. InTech, London, pp 129–152\nRao YR, Zhao J (2010) Numerical simulation of the influence of a Red River flood on circulation and contaminant dispersion in Lake Winnipeg. Nat Hazards 55:51–62\nRen Y, Pei H, Hu W, Tian C, Hao D, Wei J, Feng Y (2014) Spatiotemporal distribution pattern of cyanobacteria community and its relationship with the environmental factors in Hongze Lake, China. Environ Monit Assess 186:6919–6933\nShore JA (2009) Modelling the circulation and exchange of Kingston Basin and Lake Ontario with FVCOM. Ocean Model 30:106–114\nSmagorinsky J (1963) General circulation experiments with the primitive equations: I. The basic experiment. Mon Weather Rev 91:99–164\nSokolov AA, Chapman TG (1974) Methods for water balance computations; an international guide for research and practice-A contribution to the International Hydrological Decade. France) UNESCO, Paris\nSorensen J, Sydor M, Huls H, Costello M (2004) Analyses of Lake Superior seiche activity for estimating effects on pollution transport in the St. Louis River estuary under extreme conditions. J Great Lakes Res 30:293–300\nThe Huaihe River Commission of the Ministry of Water Resources (2019) The huai river water resources bulletin (in Chinese)\nWan X, Hua L, Yang S, Gupta HV, Zhong P (2018) Evaluating the impacts of a large-scale multi-reservoir system on flooding: Case of the Huai River in China. Water Resour Manag 32:1013–1033\nWang Q, Chen J (1999) Formation and evolution of Hongze Lake and the Huaihe River mouth along the lake. J Lake Sci 11:244–249 (in Chinese)\nWang Z-Y, Wu B, Wang G (2007) Fluvial processes and morphological response in the Yellow and Weihe Rivers to closure and operation of Sanmenxia Dam. Geomorphology 91:65–79\nWang P, Lai G, Li L (2015) Predicting the hydrological impacts of the Poyang Lake project using an EFDC model. J Hydrol Eng 20\nWu J, Zeng H, Yu H, Ma L, Xu L, Qin B (2012) Water and sediment quality in lakes along the middle and lower reaches of the Yangtze River, China. Water Resour Manag 26:3601–3618\nYu B-y, Wu P, Sui J-y, Yang X-j, Ni J (2014) Fluvial geomorphology of the Middle Reach of the Huai River. Int J Sedim Res 29:24–33\nYu B-y, Cai J-p, Huang L-m, et al (2017) Hydrodynamic numerical model of the middle reach of the Huai River and its application. China Water & Power Press (in Chinese)\nZhang X, Song Y (2014) Optimization of wetland restoration siting and zoning in flood retention areas of river basins in China: A case study in Mengwa, Huaihe River Basin. J Hydrol 519:80–93\nZhang Y, Xia J, Liang T, Shao Q (2010) Impact of water projects on river flow regimes and water quality in Huai River basin. Water Resour Manag 24:889–908\nZhang J, Feng L, Chen L, Wang D, Dai M, Xu W, Yan T (2018) Water compensation and its implication of the Three Gorges Reservoir for the River-Lake System in the Middle Yangtze River, China. Water 10\nZhao Y, Gong Z, Wang W, Luo K (2014) The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory. Nat Hazards 71:1001–1016\nZheng W, Liu C, Xin Z, Wang Z (2008) Flood and waterlogging monitoring over Huaihe River Basin by AMSR-E data analysis. Chin Geogra Sci 18(3):262–267",{"VOID":1576},"10.1007\u002Fs11269-020-02628-y","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-020-02628-y",[1579,1594,1609,1622,1637,1650],{"id":1580,"sortIndex":32,"researcher":28,"roles":1581,"affiliations":1582,"properties":1591,"displayName":1593,"givenName":28,"familyName":28},"f677e9aa-8ea5-4445-b78c-81bb78e6e361",[974],[1583],{"id":1584,"sortIndex":32,"affiliation":1585,"properties":28},"19e2cb7f-061e-4a22-88ac-8df8cd50b8cf",{"id":1584,"createTime":28,"updateTime":28,"relativeEntities":1586,"slug":28,"properties":1587,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1590,"statistic":28},[],{"title":1588},{"VI":1589},"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China",[],{"title":1592},{"VI":1593},"Hongwu Tang",{"id":1595,"sortIndex":40,"researcher":28,"roles":1596,"affiliations":1597,"properties":1606,"displayName":1608,"givenName":28,"familyName":28},"cb2828eb-73ba-483f-8a05-0e9fad3032a9",[974],[1598],{"id":1599,"sortIndex":32,"affiliation":1600,"properties":28},"1826f1d8-dbc1-4c4c-b7e8-126b7f768b20",{"id":1599,"createTime":28,"updateTime":28,"relativeEntities":1601,"slug":28,"properties":1602,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1605,"statistic":28},[],{"title":1603},{"VI":1604},"College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China",[],{"title":1607},{"VI":1608},"Hao 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Yuan",{"id":1623,"sortIndex":42,"researcher":28,"roles":1624,"affiliations":1625,"properties":1634,"displayName":1636,"givenName":28,"familyName":28},"483e3c15-8238-48f8-a570-48581e0a1139",[974],[1626],{"id":1627,"sortIndex":32,"affiliation":1628,"properties":28},"fcef0246-54c5-4c2d-9f2e-0bd0a2023d66",{"id":1627,"createTime":28,"updateTime":28,"relativeEntities":1629,"slug":28,"properties":1630,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1633,"statistic":28},[],{"title":1631},{"VI":1632},"State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China",[],{"title":1635},{"VI":1636},"Yang Xiao",{"id":1638,"sortIndex":45,"researcher":28,"roles":1639,"affiliations":1640,"properties":1647,"displayName":1649,"givenName":28,"familyName":28},"518cbda0-a190-4b83-9b00-16e070f093df",[974],[1641],{"id":1599,"sortIndex":32,"affiliation":1642,"properties":28},{"id":1599,"createTime":28,"updateTime":28,"relativeEntities":1643,"slug":28,"properties":1644,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1646,"statistic":28},[],{"title":1645},{"VI":1604},[],{"title":1648},{"VI":1649},"Chenyu Jiang",{"id":1651,"sortIndex":46,"researcher":28,"roles":1652,"affiliations":1653,"properties":1662,"displayName":1664,"givenName":28,"familyName":28},"d35a703b-73d1-4fb0-8d96-6f2c87983333",[974],[1654],{"id":1655,"sortIndex":32,"affiliation":1656,"properties":28},"931c68be-9f13-4e9b-a0df-a606a0370c2a",{"id":1655,"createTime":28,"updateTime":28,"relativeEntities":1657,"slug":28,"properties":1658,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1661,"statistic":28},[],{"title":1659},{"VI":1660},"Department of Civil, Architectural and Environmental Engineering (DICEA), University of Naples Federico II, Naples, Italy",[],{"title":1663},{"VI":1664},"Carlo Gualtieri",{"url":1577,"publisher":1666,"properties":1711},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1667,"slug":872,"properties":1668,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1671,"manageAffiliations":1680,"indexDatabases":1691,"url":28,"thumbnailPath":28,"statistic":1706,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1669,"title":1670},{"VOID":875},{"EN":877},[1672,1676],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1673,"label":1674,"description":1675,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1677,"label":1678,"description":1679,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1681,1686],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1682,"slug":28,"properties":1683,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1685,"statistic":28},[],{"title":1684},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1687,"slug":28,"properties":1688,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1690,"statistic":28},[],{"title":1689},{"EN":905},[907],[1692,1699],{"id":910,"indexDatabase":1693,"url":922,"indexYears":28,"academicFieldIds":1698,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1694,"label":1695,"description":1696,"key":919,"publicationTags":1697,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1700,"url":933,"indexYears":934,"academicFieldIds":1705,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1701,"label":1702,"description":1703,"key":781,"publicationTags":1704,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1707,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1708,"totalCitation":942,"totalCitationByYear":1709,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1710,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1712,"volume":1714},{"VOID":1713},"3739-3760",{"VOID":1715},"34","2020-08-23",2020,[921,938],{"id":1720,"createTime":1721,"updateTime":1721,"relativeEntities":1722,"slug":28,"properties":1723,"entityType":967,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1732,"fullTextUrl":28,"authors":1733,"publicationType":1002,"publisherRelationship":1773,"citationCount":28,"citationInfo":28,"publishDate":1824,"publishYear":1825,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1826,"openAccess":28,"references":28,"isForceReanalyzing":1057},"00ae8a70-95cf-4673-be5c-5d5620bdfffc","2023-12-19T04:26:34.231+00:00",[],{"abstract":1724,"title":1726,"references":1728,"doi":1730},{"EN":1725},"The provision of adequate water supply and sanitation to the rapidly growing urban populations is increasingly becoming a problem for governments throughout the world. The continuing expansion of the numbers of people in cities who need water and sanitation services form a continuous pressure to either invest in additional production capacity or to stretch the available supplies to serve more people. Due to rapid increase in population growth in the Yobe State north of Nigeria, there is a shortage in the water supply to Damaturu city the capital of the state and surrounding villages. At the present the total water supply is about 10,000 m3\u002Fday abstracted form the shallow alluvial groundwater aquifer using 29 production wells. Due to the expected increase in water demand and the limited potentiality of shallow aquifer system, other deep aquifers were explored and investigated to evaluate their potentiality for future water demand. Vertical Electrical Sounding Method was used for the geophysical survey of the study area. Groundwater flow model was developed and calibrated against the historical information. Three wellfields were designed to provide Damaturu city and surrounding villages with the required water. The calibrated model has been used to evaluate the aquifer potentiality and the effect of future withdrawals on the deep aquifer system. It was found that the aquifer system within the study area consists of two main layers. The upper layer is the Chad formation comprises an alluvial sand and gravel with intercalation of thin sility clay layers. The second layer is Keri-Keri formation consists of sandstone formation which is not explored before. During this study the Kerri-Kerri aquifer system was investigated as an alternative source for groundwater for future demand. The study presents an integrated groundwater resources management strategy for present and future water supply for rural communities.",{"EN":1727},"Groundwater Exploration and Assessment in Rural Communities of Yobe State, Northern Nigeria",{"VOID":1729},"ACDESS (African Center for Development and Strategic Studies) (1998) The population growth in Nigeria. Technical Report\nAdelana SMA, Olasehinde PI, Vrbka P (2002) A quantitative estimation of groundwater recharge in parts of Sokoto Basin, Nigeria. International Groundwater Conference, Darwin, Northern Territory, Australia\nAdogoke AO (1985) Water resources evaluation and artificial groundwater recharge of the Chad Formation aquifers in Nigeria. M.Sc. thesis, Longborough University of Technology, England\nAkujieze CN, Coker SJL, Oteze GE (2002) Groundwater in Nigeria – a millennium experience - distribution, practice, problems and solutions. Hydrogeol J 10(3):259–274\nAnderson MP, Woessner WW (1992) Applied groundwater modeling: simulation of flow and advective transport. Academic, San Diego, California\nAnyadike RNC (1992) Regional variations in fluctuations of seasonal rainfall over Nigeria. Theor Appl Climatol 45(4):285–292\nBako MD, Adetola BA, Umaru AFM (1998) The Chad basin aquifers: new evidence from Seismic refraction sections and wire line loges. Water Resour J Niger Assoc Hydrogeol 9:10–21\nCarter RC, Alhassan AB (1998) Groundwater, soils, and development in the oases of the Manga Grasslands, north-east Nigeria. Proceedings of the British hydrological society international symposium on hydrology in a changing environment, Exeter, UK\nCarter RC, Alkali AG (1996) Shallow groundwater in the north-east arid zone of Nigeria. Q J Eng Geol 29:341–355\nEdmunds WM, Fellman E, Goni IB, Prudhomme C (2002) Spatial and temporal distribution of groundwater recharge in northern Nigeria. Hydrogeol J 10(1):205–215\nJICA (Japanese International Cooperation Agency) (1995) Nigeria National Water Resources Master Plan, Final Report\nKrzysztor S, Askira MT (1990) Water resources of the Lake Chad Basin, Nigeria. Water Resour J Niger Assoc Hydrogeol 1:56–64\nOdekunle TO (2004) Determine rainfall onset and retreat dates in Nigeria. J Hum Ecol 16(4):239–247\nOgenyi O (2000) Groundwater flow and solute transport in an oasis of the Manga Grassland, North Eastern Nigeria. Ph.D. thesis, University of Nsukka\nOlayinka IA, Abimbola AF, Isibor RA, Rafiu AR (1999) A geoelectrical-hydrogeochemical investigation of shallow groundwater occurrence in Ibadan, southwestern Nigeria. Environ Geol 37(1\u002F2):31–39\nRaji BA, Alagbe SA (2000) A topo-geochemical sequence study of groundwater in Asa Drainage Basin, Kwara State, Nigeria. Environ Geol 39(6):544–548\nWorld Bank (1995) Agriculture, poverty, and policy reform in sub-Saharan Africa. Report No. WDP280",{"VOID":1731},"10.1007\u002Fs11269-008-9289-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-008-9289-x",[1734,1758],{"id":1735,"sortIndex":32,"researcher":28,"roles":1736,"affiliations":1737,"properties":1755,"displayName":1757,"givenName":28,"familyName":28},"2e6dbf76-8117-4f22-9e07-e52bb15b2eb3",[974],[1738,1746],{"id":1739,"sortIndex":32,"affiliation":1740,"properties":28},"349cb3bf-d9af-48e2-a247-37fba5e5f64f",{"id":1739,"createTime":28,"updateTime":28,"relativeEntities":1741,"slug":28,"properties":1742,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1745,"statistic":28},[],{"title":1743},{"VI":1744},"National Water Research Center, Research Institute for Groundwater, Kalubi, Egypt",[],{"id":1747,"sortIndex":40,"affiliation":1748,"properties":1754},"a19bc8ac-d0ec-4891-8a6d-2b416bfc94a6",{"id":1747,"createTime":28,"updateTime":28,"relativeEntities":1749,"slug":28,"properties":1750,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1753,"statistic":28},[],{"title":1751},{"VI":1752},"Water Resources Department, Environment Agency, Abu Dhabi, United Arab Emirates",[],{},{"title":1756},{"VI":1757},"Mohamed A. Dawoud",{"id":1759,"sortIndex":40,"researcher":28,"roles":1760,"affiliations":1761,"properties":1770,"displayName":1772,"givenName":28,"familyName":28},"3b0cc444-3f3d-469c-9f93-62b132d0862a",[974],[1762],{"id":1763,"sortIndex":32,"affiliation":1764,"properties":28},"4b940c00-f658-46cd-9913-a70ce2296830",{"id":1763,"createTime":28,"updateTime":28,"relativeEntities":1765,"slug":28,"properties":1766,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1769,"statistic":28},[],{"title":1767},{"VI":1768},"Dar Al Handasah, Cairo Office, Giza, Egypt",[],{"title":1771},{"VI":1772},"Abdel Rahman Abdel Raouf",{"url":1732,"publisher":1774,"properties":1819},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1775,"slug":872,"properties":1776,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1779,"manageAffiliations":1788,"indexDatabases":1799,"url":28,"thumbnailPath":28,"statistic":1814,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1777,"title":1778},{"VOID":875},{"EN":877},[1780,1784],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1781,"label":1782,"description":1783,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1785,"label":1786,"description":1787,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1789,1794],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1790,"slug":28,"properties":1791,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1793,"statistic":28},[],{"title":1792},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":1795,"slug":28,"properties":1796,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1798,"statistic":28},[],{"title":1797},{"EN":905},[907],[1800,1807],{"id":910,"indexDatabase":1801,"url":922,"indexYears":28,"academicFieldIds":1806,"indexDatabaseRanking":28},{"id":912,"createTime":28,"updateTime":28,"relativeEntities":1802,"label":1803,"description":1804,"key":919,"publicationTags":1805,"standard":28},[],{"EN":915,"VI":915},{"EN":917,"VI":918},[921,813],[924,925],{"id":927,"indexDatabase":1808,"url":933,"indexYears":934,"academicFieldIds":1813,"indexDatabaseRanking":938},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1809,"label":1810,"description":1811,"key":781,"publicationTags":1812,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[936,937],{"impactFactor":32,"impactFactorByYear":1815,"i10Index":46,"i10IndexLast5Year":32,"totalPublication":46,"totalPublicationByYear":1816,"totalCitation":942,"totalCitationByYear":1817,"totalCitationPerPublication":945,"totalCitationPerPublicationByYear":1818,"hindexLast5Year":46,"hindex":46},{},{"2003":40,"2004":45},{"2003":162,"2004":944},{"2003":162,"2004":947},{"pages":1820,"volume":1822},{"VOID":1821},"581-601",{"VOID":1823},"23","2008-08-05",2008,[921,938],{"id":1828,"createTime":1829,"updateTime":1830,"relativeEntities":1831,"slug":1832,"properties":1833,"entityType":967,"verifyStatus":26,"verifyTime":1830,"verifyNote":968,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1844,"fullTextUrl":28,"authors":1845,"publicationType":1002,"publisherRelationship":1932,"citationCount":28,"citationInfo":28,"publishDate":1978,"publishYear":1979,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1980,"openAccess":28,"references":28,"isForceReanalyzing":1057},"00c2e01e-e369-47f0-8cfb-9b0fb334fa9e","2024-04-07T12:24:31.312+00:00","2024-12-21T22:48:43.486+00:00",[],"Streamflow-Modeling-in-a-Highly-Managed-Mountainous-Glacier-Watershed-Using-SWAT-The-Upper-Rhone-River-Watershed-Case-in-Switzerland",{"abstract":1834,"title":1836,"keywords":1838,"references":1840,"doi":1842},{"EN":1835},"Streamflow simulation is often challenging in mountainous watersheds because of irregular topography and complex hydrological processes. Rates of change in precipitation and temperature with respect to elevation often limit the ability to reproduce stream runoff by hydrological models. Anthropogenic influence, such as water transfers in high altitude hydropower reservoirs increases the difficulty in modeling since the natural flow regime is altered by long term storage of water in the reservoirs. The Soil and Water Assessment Tool (SWAT) was used for simulating streamflow in the upper Rhone watershed located in the south western part of Switzerland. The catchment area covers 5220 km2, where most of the land cover is dominated by forest and 14 % is glacier. Streamflow calibration was done at daily time steps for the period of 2001–2005, and validated for 2006–2010. Two different approaches were used for simulating snow and glacier melt process, namely the temperature index approach with and without elevation bands. The hydropower network was implemented based on the intake points that form part of the inter-reservoir network. Subbasins were grouped into two major categories with glaciers and without glaciers for simulating snow and glacier melt processes. Model performance was evaluated both visually and statistically where a good relation between observed and simulated discharge was found. Our study suggests that a proper configuration of the network leads to better model performance despite the complexity that arises for water transaction. Implementing elevation bands generates better results than without elevation bands. Results show that considering all the complexity arising from natural variability and anthropogenic influences, SWAT performs well in simulating runoff in the upper Rhone watershed. Findings from this study can be applicable for high elevation snow and glacier dominated catchments with similar hydro-physiographic constraints.",{"EN":1837},"Streamflow Modeling in a Highly Managed Mountainous Glacier Watershed Using SWAT: The Upper Rhone River Watershed Case in Switzerland",{"EN":1839},"",{"VOID":1841},"Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-ailpine\u002Falpine Thur watershed using SWAT. J Hydrol 333(2–4):413–430. doi:10.1016\u002Fj.jhydrol.2006.09.014\nAhl RS, Woods SW, Zuuring HR (2008) Hydrologic Calibration and Validation of SWAT in a Snow-Dominated Rocky Mountain Watershed, Montana, USA. J Am Water Resour Assoc 44(6):1411–1430. doi:10.1111\u002Fj.1752-1688.2008.00233.x\nArnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment, Part 1: Model Development. JAWRA 34(1):73–89. doi:10.1111\u002Fj.1752-1688.1998.tb05961.x\nBeniston M (2010) Impacts of climatic change on water and associated economic activities in the Swiss Alps. J Hydrol. doi:10.1016\u002Fj.jhydrol.2010.06.046\nBeven K (2001) How far can we go in distributed hydrological modelling? Hydrol Earth Syst Sci 5(1):1–12\nBrown LE, Hannah DM, Milner AM, Soulsby C, Hodson AJ, Brewer MJ (2006) Water source dynamics in a glacierized alpine river basin (Taillon-Gabietous, French Pyrenees). Water Resour Res 42(8). doi:10.1029\u002F2005wr004268\nDaniel Farinotti1 SU, Matthias Huss2, Andreas Bauder1 and Martin Funk (2011) Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios. Hydrolog Process\nDeb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197\nDebele B, Srinivasan R, Gosain AK (2010) Comparison of process-based and temperature-index snowmelt modeling in SWAT. Water Resour Manag 24(6):1065–1088. doi:10.1007\u002Fs11269-009-9486-2\nFarinotti D, Huss M, Bauder A, Funk M (2009) An estimate of the glacier ice volume in the Swiss Alps. Global Planet Change 225-231. doi:10.1016\u002Fj.gloplacha.2009.05.004\nFette M, Weber C, Peter A, Wehrli B (2007) Hydropower production and river rehabilitation: a case study on an alpine river. Environ Model Assess 12(4):257–267. doi:10.1007\u002Fs10666-006-9061-7\nFontaine TA, Cruickshank TS, Arnold JG, Hotchkiss RH (2002) Development of a snowfall-snowmelt routine for mountainous terrain for the soil water assessment tool (SWAT). J Hydrol 262(1–4):209–223\nJordan F, Hernández JG, Dubois J, Boillat J-L (2007) MINERVE Modélisation des Intempéries de Nature Extrême du Rhône Valaisan et de leurs Effets\nGupta HV, Sorooshian S, Yapo PO (1999) Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrolog Eng 4(2):135–143. doi:10.1061\u002F(asce)1084-0699(1999) 4:2(135\nHernández G (2011) Flood Management in a Complex River Basin with a Real Time Decision Support System Based on Hydrological Forecasts. THÈSE NO 5093 (2011) Ecole Polytechnique Fédérale de Lausanne\nHock R (2003) Temperature index melt modelling in mountain areas. J Hydrol 282(1–4):104–115. doi:10.1016\u002Fs0022-1694(03)00257-9\nHuss M (2011) Present and future contribution of glacier storage change to runoff from macroscale drainage basins in Europe. Water Resour Res 47. doi:10.1029\u002F2010wr010299\nHuss M, Farinotti D, Bauder A, Funk M (2008) Modelling runoff from highly glacierized alpine drainage basins in a changing climate. Hydrolog Process 22(19):3888–3902. doi:10.1002\u002Fhyp. 7055\nHuss M, Jouvet G, Farinotti D, Bauder A (2010) Future high-mountain hydrology: a new parameterization of glacier retreat. Hydrol Earth Syst Sci 14(5):815–829. doi:10.5194\u002Fhess-14-815-2010\nJordan F (2007) Modèle de prévision et de gestion des crues optimisAtion des opérations des aménagements hydroélectriques à accumulation pour la réduction des débits de crue. THÈSE NO 3711 (2007) Ecole Polytechnique Fédérale de 431 Lausanne\nKlok EJ, Jasper K, Roelofsma KP, Gurtz J, Badoux A (2001) Distributed hydrological modelling of a heavily glaciated Alpine river basin. Hydrolog Sci J 46(4):553–570\nMeile T, Boillat JL, Schleiss A (2010) Hydropeaking indicators for characterization of the Upper-Rhone River in Switzerland. Aquat Sci 1-12. doi:10.1007\u002Fs00027-010-0154-7\nMoriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the Asabe 50(3):885–900\nMorid S, Gosain AK, Keshari AK (2004) Response of different snowmelt algorithms to synthesized climatic data for runoff simulation. J Earth Space Phys 30(1):1–9\nNash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290. doi:10.1016\u002F0022-1694(70)90255-6\nNeitsch SL, Arnold JG, Kiniry J, Williams JR (2005) Soil and water assessment tool theoretical documentation, USDA Agricultural Research Service and. TexasA&MBlackland Research Center, Temple\nPanagopoulos Y, Makropoulos C, Mimikou M (2011) Diffuse surface water pollution: driving factors for different geoclimatic regions. Water Resour Manag 25(14):3635–3660. doi:10.1007\u002Fs11269-011-9874-2\nPradhanang SM, Anandhi A, Mukundan R, Zion MS, Pierson DC, Schneiderman EM, Matonse A, Frei A (2011) Application of SWAT model to assess snowpack development and streamflow in the Cannonsville watershed, New York, USA. Hydrolog Process. doi:10.1002\u002Fhyp. 8171\nSchaedler B, Weingzutner R (2001) Components of the natural water balance 1961–1990. Hydrological Atlas of Switzerland, Plate 63, Department of Geography, Bern University—Hydrology & Swiss Federal Office for Water and Geology, Bern, Switzerland (in German, French and Italian)\nSchaefli B, Huss M (2011) Integrating point glacier mass balance observations into hydrologic model identification. Hydrol Earth Syst Sci 15(4):1227–1241. doi:10.5194\u002Fhess-15-1227-2011\nSchaefli B, Hingray B, Niggli M, Musy A (2005) A conceptual glacio-hydrological model for high mountainous catchments. Hydrol Earth Syst Sci 9(1–2):95–109\nvan Griensven A, Meixner T, Grunwald S, Bishop T, Diluzio A, Srinivasan R (2006) A global sensitivity analysis tool for the parameters of multi-variable catchment models. J Hydrol 324(1–4):10–23. doi:10.1016\u002Fj.jhydrol.2005.09.008\nVaranou E, Gkouvatsou E, Baltas E, Mimikou M (2002) Quantity and quality integrated catchment modeling under climate change with use of soil and water assessment tool model. J Hydrolog Eng 7(3):228–244. doi:10.1061\u002F(asce)1084-0699(2002) 7:3(228\nViviroli D, Weingartner R (2004) The hydrological significance of mountains: from regional to global scale. Hydrol Earth Syst Sci 8(6):1016–1029\nVrugt JA, Robinson BA (2007) Improved evolutionary optimization from genetically adaptive multimethod search. Proc Natl Acad Sci U S A 104(3):708–711. doi:10.1073\u002Fpnas.0610471104\nWang X, Melesse AM (2005) Evaluation of the swat model’s snowmelt hydrology in a northwestern Minnesota watershed. Trans ASAE 48(4):1359–1376\nZhang XS, Srinivasan R, Debele B, Hao FH (2008) Runoff simulation of the headwaters of the Yellow River using the SWAT model with three snowmelt algorithms. J Am Water Resour Assoc 44(1):48–61. doi:10.1111\u002Fj.1752-1688.2007.00137.x",{"VOID":1843},"10.1007\u002Fs11269-012-0188-9","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11269-012-0188-9",[1846,1861,1876,1889,1904,1919],{"id":1847,"sortIndex":32,"researcher":28,"roles":1848,"affiliations":1849,"properties":1858,"displayName":1860,"givenName":28,"familyName":28},"54575e43-d918-4fb1-bf04-e6b7a6ed2668",[974],[1850],{"id":1851,"sortIndex":32,"affiliation":1852,"properties":28},"d9bc2aea-e90f-4d62-ba18-320d98d486f7",{"id":1851,"createTime":28,"updateTime":28,"relativeEntities":1853,"slug":28,"properties":1854,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1857,"statistic":28},[],{"title":1855},{"VI":1856},"Institute for Environmental Science, University of Geneva, Geneva, Switzerland",[],{"title":1859},{"VI":1860},"Kazi 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an increased rate of urbanization and people’s interest in high-quality natural environments, urban green spaces are receiving increased attention. However, urban green spaces irrigation increases tap water consumption, wasting high-quality water. Using reclaimed water for irrigation can not only maintain the normal ecological and landscape functions of green spaces but also save water resources. The eco-economic benefits of using reclaimed water as irrigation water were evaluated in this paper. The composition of benefits was analysed, and a new quantitative method was proposed based on the emergy theory. This proposed method was used to calculate the costs of different irrigation water, the other use benefits of the saved tap water, and the benefits of scientific research, leisure and entertainment, carbon fixation and oxygen release, biodiversity protection, soil conservation and air purification. Taking Zhengzhou in 2018 as an example, the results showed that the cost of using reclaimed water to irrigate urban green spaces was 46% of the cost of using tap water. The total benefit of using reclaimed water to irrigate green spaces was $4.05 billion, which was three times the benefit of using tap water. The net benefit of using reclaimed water was $2.00 billion, while that of tap water was negative. Therefore, the advantages of using reclaimed water to irrigate urban green spaces are the low costs and high eco-economic benefits. The method proposed in this paper provides a quantitative basis for using reclaimed water to irrigate urban green spaces in cities with water shortages.",{"EN":1991},"Quantitative Analysis of Eco-economic Benefits of Urban Reclaimed Water Greening Based on Emergy Theory",{"VOID":1993},"Alcon F, Martin-Ortega J, Pedrero F (2013) Incorporating non-market benefits of reclaimed water into cost-benefit analysis: a case study of irrigated mandarin crops in southern Spain. Water Res Manage 27(6):1809–1820. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11269-012-0108-z\nBirol E, Koundouri P, Kountouris Y (2010) Assessing the economic viability of alternative water resources in water-scarce regions: combining economic valuation, cost-benefit analysis and discounting. Ecol Econ 69(A):839–847. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolecon.2009.10.008\nBrown MT, Ulgiati S (2004) Energy quality, emergy, and transformity: H.T. Odum’ s contribution to quantifying and understanding systems. Ecological Mod 178:201–213. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolmodel.2004.03.002\nChina Urban Construction Statistical Yearbook (2019) Ministry of housing and urban rural development of the people's Republic of China (MOHURD), Beijing, China\nCompilation Team of Research Report on China’s Biodiversity Situation (1998) Research Report on China’s biodiversity situation. China Environmental Science Press, Beijing\nCorrêa CJP, Tonello KC, Nnadi E (2021) Urban Gardens and Soil Compaction: A Land Use Alternative for Runoff Decrease. Environ Proc 8:1213–1230. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40710-021-00521-3\nGalvis A, Jaramillo MF, Van d SP, Gijzen HJ (2018) Financial aspects of reclaimed wastewater irrigation in three sugarcane production areas in the Upper Cauca River Basin, Colombia. Agri Water Manage 209:102–110. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agwat.2018.07.019\nGeneviève DA, Lian L, Despo FK (2019) Recommendations to derive quality standards for chemical pollutants in reclaimed water intended for reuse in agricultural irrigation. Chemosphere 240. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.chemosphere.2019.124911\nGiannoccaro G, Arborea S, Gennaro B, Iacobellis V, Piccinni A (2019) Assessing reclaimed urban wastewater for reuse in agriculture: Technical and economic concerns for Mediterranean Regions. Water 11(7):1511. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fw11071511\nLan S, Qin P, Lu H (2002) Emergy analysis of ecological economic system. Chemical Industry Press, Beijing\nLi G, Ren H (2004) Biomass and net primary productivity of the forests in different climatic zones of China. Trop Geogr 04:306–310. https:\u002F\u002Fdoi.org\u002F10.3969\u002Fj.issn.1001-5221.2004.04.002\nLi P, Wang Z (2021) Environmental co-benefits of urban greening for mitigating heat and carbon emissions. J Environ Manage 293. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jenvman.2021.112963\nLiu OY, Russo A (2021) Assessing the contribution of urban green spaces in green infrastructure strategy planning for urban ecosystem conditions and services. Sustain Cities Soc 68(April):102772. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.scs.2021.102772\nLiu Y (2017) Evaluation and reference of agricultural water price management system in the United States, France and Israel. World Agri 12:93–98. https:\u002F\u002Fdoi.org\u002F10.13856\u002Fj.cn11-1097\u002Fs.2017.12.014\nLu M, Gao X, Ji Y et al (2017) Study on carbon fixation and oxygen release capacity of urban green space in Jinan. J Shandong Jianzhu University. https:\u002F\u002Fdoi.org\u002F10.12077\u002Fsdjz.2017.06.001\nLv C, Li H, Ling M et al (2021) An Innovative Emergy Quantification Method for Eco-economic Compensation for Agricultural Water Rights Trading. Water Res Manage 35:775–792. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11269-020-02717-y\nLv C, Zhang W, Ling M, Li H, Zhang G (2020) Quantitative analysis of eco-economic benefits of reclaimed water for controlling urban dust. Environ Geochem Health. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10653-020-00537-y\nLv C (2009) Research on Ecological Economic Value of Regional Water Resources Based on Emergy Theory. Zhengzhou University\nMaestre-Valero JF, Martin-Gorriz B, Alarcón JJ, Nicolas E, Martinez-Alvarez V (2016) Economic feasibility of implementing regulated deficit irrigation with reclaimed water in a grapefruit orchard. Agri Water Manage 178:119–125. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agwat.2016.09.019\nMalmqvist JB (2003) Mechanisms behind positive diversity effects on ecosystem functioning: testing the facilitation and interference hypotheses. Oecologia 134(4):554–559. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00442-002-1148-5\nMeillaud F, Gay JB, Brown MT (2005) Evaluation of a building using the emergy method. Sol Energy 79(2):204–212. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.solener.2004.11.003\nOdum HT, Odum EC, Blisseltt M (1987) Ecology and economy: emergy analysis and public policy in Texas. Results of policy research project. LBI School of Public Affairs. State Department of Agriculture: Austin, Texas.\nOdum HT (1996) Environmental accounting: emergy and decision making. Wiley, New York\nOstad-Ali-Askari K, Shayannejad M (2021) Quantity and quality modelling of groundwater to manage water resources in Isfahan-Borkhar Aquifer. Environ Dev Sustain, Springer Nature Switzerland AG. 23(3). https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10668-021-01323-1\nPardo MA, Pérez-Montes Á, Moya-Llamas MJ (2021) Using reclaimed water in dual pressurized water distribution networks. cost analysis. J Water Proc Eng. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jwpe.2020.101766\nPiaggio M (2021) The value of public urban green spaces: measuring the effects of proximity to and size of urban green spaces on housing market values in san josé, costa rica. Land Use Policy 109(6):105656. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.landusepol.2021.105656\nSun J (2008) Evaluation of ecosystem service value of Wuyishan Nature Reserve based on the emergy analysis. Fujian Agriculture and Forestry University\nTsagarakis KP (2005) Recycled water valuation as a corollary of the 2000\u002F60\u002FEC water framework directive. Agri Water Manage 72(1):1–14. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agwat.2004.09.006\nWang Q, Shi C, Liu Y, Zhou D, Sun J (2012) Study on Health Risk Assessment of Reclaimed Water Used of Greenbelt Irrigation. Water Saving Irrigation 03:57–60\nWang R, Ren Q (2013) Study on biological diversities of green vegetation in Zhengzhou and Xinxiang. Mod Agri Sci Technol 15:179–180+184\nXie G, Zhang C, Zhang L, Chen W, Li S (2015) Improvement of the evaluation method for ecosystem service value based on per unit area. J Nat Res 30(08):1243–1254. https:\u002F\u002Fdoi.org\u002F10.11849\u002Fzrzyxb.2015.08.001\nZhengzhou Statistical Yearbook (2019) Zhengzhou Statistics Bureau (ZSB), Zhengzhou, Henan Province, China\nZhengzhou Water Resources Bulletin (2018) Zhengzhou Water Conservancy Bureau (ZWCB), Zhengzhou, Henan Province, 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pumping from Kalbha and Fujairah coastal aquifer of the United Arab Emirates (UAE) has increased significantly during the last two decades to meet the agriculture water demands. Due to the lack of natural replenishment from rainfall and the excessive pumping, groundwater levels have declined significantly causing an intrusion of seawater in the coastal aquifer of Wadi Ham. As a result, many pumping wells in the coastal zone have been terminated and a number of farms have been abandoned. In this paper, MODFLOW was used to simulate the groundwater flow and assess the seawater intrusion in the coastal aquifer of Wadi Ham. The model was calibrated against a five-year dataset of historical groundwater levels and validated against another eleven-year dataset. The effects of pumping on groundwater levels and seawater intrusion were investigated. Results showed that reducing the pumping from Khalbha well field will help to reduce the seawater intrusion into the southeastern part of the aquifer. Under the current groundwater pumping rates, the seawater will continue to migrate inland.",{"EN":2148},"Modeling Groundwater Flow and Seawater Intrusion in the Coastal Aquifer of Wadi Ham, UAE",{"VOID":2150},"Abd-Elhamid HF, Javadi AA (2011) A cost-effective method to control seawater intrusion in coastal aquifers. Water Resour Manag 25(11):2755–2780. doi:10.1007\u002Fs11269-011-9837-7\nAndersen PF, White HO Jr, Mercer JW (1988) Numerical modeling of saltwater intrusion at Hallandale, Florida. Ground Water 26(5):619–630\nBear J, Cheng AH-D, Sorek S, Ouazar D, Herrera I (1999) Seawater intrusion in coastal aquifers: concepts, methods and practices. Kluwer, Dordrecht\nCheng AH-D, Ouazar D (1999) Analytical solutions. In: Bear J, Cheng AH-D, Sorek S, Ouazar D, Herrera I (eds) Seawater intrusion in coastal aquifers—concepts, methods and practices. Kluwer Academic Publishers, Dordrecht\nCheng AH-D, Halhal D, Naji A, Ouazar D (2000) Pumping optimization in saltwater-intruded coastal aquifers. Water Resour Res 36(8):2155–2165\nDas A, Datta B (1999) Development of multiobjective management models for coastal aquifers. J Water Resour Plann Manag 125(2):76–87\nDatta B, Vennalakanti H, Dhar A (2009) Modeling and control of saltwater intrusion in a coastal aquifer of Andhra Pradesh, India. J Hydro-Environ Res 3(3):148–158\nEbraheem AM, Riad S, Wycisk P, Seif El Nasr AM (2002) Simulation of present and future groundwater extraction from the non-replenished Nubian Sandstone Aquifer, SW Egypt. Environ Geol 43(1–2):188–196. Springer-Verlag, doi 10.1007\u002Fs00254-002-0643-7.\nEbraheem AM, Garamoon HK, Riad S, Wycisk P, Seif El Nasr AM (2003) Numerical modeling of ground-water resource management options in East Oweinat area, SW Egypt. Environ Geol 44(4):433–447. Springer-Verlag, doi 10.1007\u002Fs00254-003-0778-1.\nEconomics and Social Commission for Western Asia, ESCWA (1997) Advisory services to the Ministry of Agriculture and Fisheries, United Arab Emirates. Mathematical of the Wadi Ham aquifer, Fujierah coastal plain, UAE.\nElectrowatt Engineering Services Ltd (1981) Wadi Ham Dam and Groundwater Recharge Facilities, Volume I Design, Ministry of Agriculture and Fisheries, UAE.\nEmch PG, Yeh WW-G (1998) Management model for conjunctive use of coastal surface water and ground water. J Water Resour Plann Manag 124(3):129–139\nEntec Europe Limited, ENTEC (1996) Survey on Groundwater Recharge and Flow in Wadi Ham. Volum1 1, Ministry of Agriculture and Fisheries, UAE.\nEssaid HI (1990) A multilayered sharp interface model of coupled freshwater and saltwater flow in coastal systems: model development and application. Water Resour Res 26:1431–1454\nEssaid HI (1999) USGS SHARP model. In: Bear J, Cheng AH-D, Sorek S, Ouazar D, Herrera I (eds) Seawater intrusion in coastal aquifers—concepts, methods and practices. Kluwer Academic Publishers, Dordrecht\nFrind EO (1982) Simulation of long-term transient density dependent transport in groundwater. Adv Water Resour 5:73–97\nGambolati G, Putti M, Paniconi C (1999) Three-dimensional model of coupled flow and miscible salt transport. In: Bear J, Cheng AH-D, Sorek S, Ouazar D, Herrera I (eds) Seawater intrusion in coastal aquifers: concepts, methods and practices, Chapter 10. Kluwer, Dordrecht\nGordon EE, Shamir U, Bensabat J (2000) Optimal management of a regional aquifer under salinization conditions. Water Resour Res 36(11):3193–3203\nGossel W, Ebraheem AM, Wycisk P (2004) Very large scale GIS based groundwater flow model for the Nubaian Sandsone Aquifer in Eastern Sahara. Journal of Hydrogeology 12(6):698–713\nGossel W, Sefelnasr A, Ebraheem AM, Wycisk P (2008) A GIS-based flow model for groundwater resources management in the development areas in the eastern Sahara, Africa. In: Adelana SMA, MacDonald AM (eds) Applied groundwater studies in Africa IAH. Selected Papers on Hydrogeology. Volume 13. CRCPress\u002FBalkema, Leiden, pp 43–64\nHenry HR (1964) Effect of dispersion on salt encouragement in coastal aquifers. In: Cooper HH et al. (eds) Sea water in coastal aquifers. US Geological Survey Water Supply Paper 1613-C, 1964.\nHuyacorn PS, Andersen PF, Mercer JW, White HO Jr (1987) Saltwater intrusion in aquifers: development and testing of a three-dimensional finite element model. Water Resour Res 23:293–312\nIWACO (1986) Ground water study. Drilling of Deep Water Wells at Various locations in the UAE. Internal report, Ministry of Environment & Water, Dubai, UAE.\nKacimov AR, Sherif MM (2006) Sharp interface, one-dimensional seawater intrusion into a confined aquifer with controlled pumping: analytical solution. Water Resour Res 42:W06501. doi:10.1029\u002F2005WR004551\nKacimov AR, Obnosove YV, Sherif MM, Perret JS (2006) Analytical solutions to a sea water zone tapering to a triple point. published on line March 23. J Eng Math 54(3).\nKacimov AR, Sherif MM, Perret JS, Al-Mushikhi (2009) Control of sea-water intrusion by salt-water pumping: Coast of Oman. Hydrogeology Journal 17(3).\nKarterakis SM, Karatzas GP, Nikolos IK, Papadopoulou MP (2007) Application of linear programming and differential evolutionary optimization methodologies for the solution of coastal subsurface water management problems subject to environmental criteria. J Hydrol 342(3–4):270–282\nKoukadaki MA, Karatzas GP, Papadopoulou MP, Vafidis A (2007) Identification of the saline zone in a coastal aquifer using electrical tomography data and simulation. Water Resour Manag 21(11):1881–1898\nMantoglou A (2003) Pumping management of coastal aquifers using analytical models of saltwater intrusion. Water Resour Res 39 12.\nMoujabber M, Samra B, Darwish T, Atallah T (2006) Comparison of different indicators for groundwater contamination by seawater intrusion on the Lebanese Coast. Water Resour Manag 20(2):161–180\nOude Essink GHP (2001) Salt water intrusion in a three dimensional groundwater system in the Netherlands: a numerical study. Transport Porous Media 43:137–158\nPanday S, Huyakorn PS, Robertson JB, Mcgurk B (1993) A density-dependent flow and transport analysis of the effects of groundwater development in a fresh-water lens of limited areal extent—the Geneva Area (Florida, USA) Case-Study. J Contam Hydrol 12(4):329–354\nPinder GF, Cooper HH (1970) A numerical technique for calculating the transient position of the saltwater front. Water Resour Res 6:875\nSefelnasr A (2007) Development of groundwater flow model for water resources management in the development areas of the Western Desert, Egypt. DSc. thesis, Martin Luther University.\nShammas MI, Thunvik R (2009) Predictive simulation of flow and solute transport for managing the Salalah Coastal Aquifer, Oman. Water Resour Manag 23(14):2941–2963\nSherif MM, Hamza KI (2001) Mitigation of seawater intrusion by pumping brackish water. Transport Porous Media 43:29–44\nSherif MM, Kacimov A (2005) Seawater intrusion in coastal aquifers under global warming conditions, International Conference on Energy, Environment and Disasters, INCEED 2005, Charlotte, North Carolina, USA.\nSherif MM, Singh VP (1996) Saltwater intrusion, Chapter 10 in “Hydrology of Disasters”, Book Series: Water Science and Technology Library, Vol. 18. pp. 269–319. Kluwer Academic Publishers, The Netherlands.\nSherif MM, Singh VP (1999) Effect of climate changes on seawater intrusion in coastal aquifers. Hydrolog Process 13(8):1277–1287\nSherif MM, Singh VP, Amer AM (1988) A two dimensional finite element model for dispersion (2D-FED) in Coastal Aquifers. J Hydrol 103:11–36\nSherif MM, El Mahmoudi A, Garamoon H, Kacimov A, Akram S, Ebraheem A, Shetty A (2006) Geoelectrical and hydrogeochemical studies for delineating seawater intrusion in the outlet of Wadi Ham, UAE. Environ Geol 49:536–551\nSherif MM, Akram S, Shetty A (2009) Characterization and analysis of rainfall in the Northern Wadis of the United Arab Emirates. J Hydrolog Eng, ASCE 14(6):445–454\nSherif MM, Mohamed M, Shetty A, Almulla M (2011) Rainfall-Runoff modeling of three Wadis in the northern area of UAE. J Hydrolog Eng, ASCE 16(1):10–20\nSir Williams Halcrow & Partners Consulting Engineers (1969) Water Resources of Trucial States. Internal report. Ministry of Agriculture and Fisheries, Dubai, UAE.\nWerner AD, Alcoe DW, Ordens CM, Hutson JL, Ward JD et al (2011) Current practice and future challenges in coastal aquifer management: flux-based and trigger-level approaches with application to an Australian Case Study. 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