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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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SCIE","scie",[914,813],"SCIE","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=2196-4092",[816,917],"743809e9-ecc4-4c97-9a58-e2cbbb0d0ce9",{"id":919,"indexDatabase":920,"url":925,"indexYears":926,"academicFieldIds":927,"indexDatabaseRanking":928},"1b42eb01-3dc0-4d47-b518-92ab1466355d",{"id":786,"createTime":28,"updateTime":28,"relativeEntities":921,"label":922,"description":923,"key":792,"publicationTags":924,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],"https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21100807094","2014-2024",[798],"SCOPUS__Q1",{"impactFactor":32,"impactFactorByYear":930,"i10Index":128,"i10IndexLast5Year":49,"totalPublication":200,"totalPublicationByYear":934,"totalCitation":935,"totalCitationByYear":936,"totalCitationPerPublication":938,"totalCitationPerPublicationByYear":939,"hindexLast5Year":323,"hindex":323},{"2016":123,"2017":40,"2018":931,"2019":235,"2020":932,"2021":933,"2022":45,"2023":579},1.67,3.33,3.82,{"2015":123,"2016":46,"2017":205,"2018":45,"2019":46,"2020":48,"2021":40,"2022":46},547,{"2015":141,"2016":278,"2017":937,"2018":522,"2019":522,"2020":155,"2021":42,"2022":133},152,11.64,{"2015":940,"2016":941,"2017":942,"2018":943,"2019":944,"2020":945,"2021":42,"2022":946},19.5,6.8,15.2,24.75,19.8,14.83,5.4,{"meta":948,"data":950},{"total":949},"207",[951,1102,1275,1401,1503,1583,2022,2105,2200,2384],{"id":952,"createTime":953,"updateTime":954,"relativeEntities":955,"slug":956,"properties":957,"entityType":966,"verifyStatus":26,"verifyTime":954,"verifyNote":967,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":968,"fullTextUrl":28,"authors":969,"publicationType":1050,"publisherRelationship":1051,"citationCount":28,"citationInfo":28,"publishDate":1098,"publishYear":1099,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1100,"openAccess":28,"references":28,"isForceReanalyzing":1101},"00b605f8-656e-4b4e-ae60-76e49a3ef37b","2023-12-11T17:21:37.131+00:00","2025-02-15T13:41:21.318+00:00",[],"Resonance-characteristics-and-impact-of-the-2006-Pingtung-tsunami-in-southern-Taiwan",{"abstract":958,"title":960,"references":962,"doi":964},{"EN":959},"Tsunami resonance excitation induces tsunami amplification, persistent oscillation, and strong current velocities, which may enlarge coastal hazards in tsunamigenic areas. Historically, the 2006 Pingtung earthquake doublet triggered tsunamis that affected the south Taiwan coast. Studying the resonance features based on past tsunamis is important for assessing tsunami hazards and obtaining critical disaster mitigation information. Here, we elucidate the tsunami resonance oscillation and its impacts along the south Taiwan coast based on synthetic assessment of tsunamis induced by the 2006 Pingtung earthquake doublet. A numerical simulation was performed to replicate the  2006 Pingtung earthquake doublet tsunamis. Then, spatially integrated spectra were obtained via spatiotemporal analysis. The results were compared to tsunami spectra at tide gauges to identify the main oscillation modes, suggesting the main oscillation modes had 13–50 min periods during the 2006 Pingtung earthquake doublet tsunamis. The tsunami resonance oscillations were analyzed based on the main oscillation modes. In the 2006 Pingtung earthquake doublet tsunamis, edge waves occurred along the south Taiwan west coast in most oscillation modes. The Hengchun Peninsula prevents tsunami oscillation transmission, and only part of the oscillation energy at certain periods propagates to the east coast. Furthermore, the spectral amplitude distribution migration across the period domain revealed that energy amplification is a frequency-dependent phenomenon and is responsible for the large tsunami heights and strong tsunami-induced current velocities distributed along the south Taiwan coast during this past tsunami.",{"EN":961},"Resonance characteristics and impact of the 2006 Pingtung tsunami in southern Taiwan",{"VOID":963},"Abe K (2009) Excitation of resonant modes along the Japanese coast by the 1993 and 1983 tsunamis in the Japan Sea. 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J JSCE 59:151–160\nKoshimura S, Imamura F, Shuto N (1996) Numerical analysis of tsunami propagates as boundary wave. J JSCE, B2 (Coast Eng) 1996:276–280\nKoyano K, Takabatake T, Esteban M, Shibayama T (2021) Influence of edge waves on tsunami characteristics along Kujukuri Beach, Japan. J Waterw Port Coast Ocean Eng 147:04020049. https:\u002F\u002Fdoi.org\u002F10.1061\u002F(ASCE)WW.1943-5460.0000617\nLoomis HG (1966) Spectral analysis of tsunami records from stations in the Hawaiian islands. Bull Seismol Soc Am 56:697–713\nMelgar D, Ruiz-Angulo A (2018) Long-lived tsunami edge waves and shelf resonance from the M8.2 tehuantepec earthquake. Geophys Res Lett 45:12414–12421. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2018GL080823\nMiyazawa K, Goto K, Imamura F (2012) Re-evaluation of the 1771 meiwa tsunami source model, Southern Ryukyu Islands, Japan. In: Submarine mass movements and their consequences—5th international symposium. 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Nat Hazard 22:1073–1082. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fnhess-22-1073-2022\nWang Y, Su HY, Ren Z, Ma Y (2022b) Source properties and resonance characteristics of the tsunami generated by the 2021 M 8.2 Alaska earthquake. J Geophys Res Oceans. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2021JC018308\nWu TR, Chen PF, Tsai WT, Chen GY (2008) Numerical study on tsunamis excited by 2006 Pingtung earthquake doublet. Terrest Atmos Oceanic Sci 19:705–715. https:\u002F\u002Fdoi.org\u002F10.3319\u002FTAO.2008.19.6.705(PT)\nYamanaka Y, Nakamura M (2020) Frequency-dependent amplification of the Sanriku tsunamis in Ryori Bay. Earth Planets Space. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs40623-019-1128-1\nYamazaki Y, Cheung KF (2011) Shelf resonance and impact of near-field tsunami generated by the 2010 Chile earthquake. Geophys Res Lett. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2011GL047508",{"VOID":965},"10.1186\u002Fs40562-023-00271-0","PUBLICATION","Auto Verify","https:\u002F\u002Fgeoscienceletters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40562-023-00271-0",[970,995,1017,1030],{"id":971,"sortIndex":32,"researcher":28,"roles":972,"affiliations":974,"properties":992,"displayName":994,"givenName":28,"familyName":28},"f71d897b-5a1a-4941-9dd2-948faf1f4968",[973],"AUTHOR",[975,983],{"id":976,"sortIndex":32,"affiliation":977,"properties":28},"9a460078-7484-4478-be36-85fae15461b3",{"id":976,"createTime":28,"updateTime":28,"relativeEntities":978,"slug":28,"properties":979,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":982,"statistic":28},[],{"title":980},{"VI":981},"Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Sendai, 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study aims to assess people’s preparedness for a potential earthquake in Dhaka, the capital of Bangladesh. We have employed a model with six dimensions of holistic individual preparedness. A self-reported online survey included 677 total participants. The multiple linear regression model and the Spearman rank correlation were used as needed. The majority of the participants (> 65%) did not have experience with any earthquake preparedness program, despite the fact that 92% of the population surveyed claimed to have experienced an earthquake in their region. More than 50% of those who experienced earthquakes acquired knowledge. 30% of people do not have access to immediate financial support in the event of a crisis. It was estimated that almost 50% of the population did not have earthquake insurance. Females lack the adaptability of males. A person’s level of earthquake preparedness was significantly associated with their level of education, household head occupation and monthly income, type of residential unit, and experience of earthquake preparedness program. Therefore, these factors should be considered while figuring out how to better prepare for earthquakes. A combination of holistic earthquake preparedness programs and effective education is generally required for competent holistic earthquake preparedness.",{"EN":1112},"Earthquake preparedness in an urban area: the case of Dhaka city, Bangladesh",{"VOID":1114},"Abdo HG (2022) Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria. Int J Environ Sci Technol 19(4):2599–2618\nAitsi-Selmi A, Egawa S, Sasaki H et al (2015) The Sendai framework for disaster risk reduction: renewing the global commitment to people’s resilience, health, and well-being. Int J Disaster Risk Sci 6:164–176. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13753-015-0050-9\nAkhter SH (2010) Earthquakes of Dhaka. 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Earthq Spectra 29:403–432. https:\u002F\u002Fdoi.org\u002F10.1193\u002F1.4000126\nThe Business Standard (2022) 37% adults in country are internet users. In: The business standard. https:\u002F\u002Fwww.tbsnews.net\u002Ftech\u002F37-adultscountry-are-internet-users-466238. Accessed 30 Jul 2022\nUdías A (2005) Earthquakes. J Seismol 9:127–127. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10950-005-2110-x\nUN (2018) World urbanization prospects—population division—united nations. https:\u002F\u002Fpopulation.un.org\u002Fwup\u002F. Accessed 2 Feb 2022\nUnb D (2011) Bangladesh at high quake risk for its geographic location. In: The daily star. https:\u002F\u002Fwww.thedailystar.net\u002Fnews-detail-181058. Accessed 31 Mar 2023\nUNDP (United Nations Development Programme) (2018) 2018 statistical update: human development indices and indicators. UNDP, New York\nUNDRR (2009) UNISDR: Terminology on Disaster Risk Reduction. https:\u002F\u002Fwww.undrr.org\u002Fterminology. Accessed 1 Apr 2022\nUrsachi G, Horodnic IA, Zait A (2015) How reliable are measurement scales? External factors with indirect influence on reliability estimators. Procedia Econ Finance 20:679–686. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS2212-5671(15)00123-9\nVitorino H, Rodrigues H, Couto C (2020) Evaluation of post-earthquake fire capacity of reinforced concrete elements. Soil Dyn Earthquake Eng 128:105900. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.soildyn.2019.105900\nWu J, Yang X, Deng X, Xu D (2022) Does disaster knowledge affect residents’ choice of disaster avoidance behavior in different time periods? Evidence from China’s earthquake-hit areas. Int J Disaster Risk Reduct 67:102690. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijdrr.2021.102690\nYamane T (1967) Statistics an introductory analysis, 2nd edn. Harper & Row, New York\nYildiz A, Teeuw R, Dickinson J, Roberts J (2020) Children’s earthquake preparedness and risk perception: a comparative study of two cities in Turkey, using a modified PRISM approach. Int J Disaster Risk Reduct 49:101666. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijdrr.2020.101666\nZaremohzzabieh Z, Samah AA, Roslan S et al (2021) Household preparedness for future earthquake disaster risk using an extended theory of planned behavior. 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linear relationship between two stable water isotopes (δD and δ18O) has been used to examine the physical processes and movements or changes of three water phases (water vapor, liquid water and ice), including deuterium excess. The ordinary least squares (OLS) method has been the most commonly used method to fit the linear relationship between two isotopic compositions of water. However, an alternative method, the total least squares (TLS) method, has been proposed because it considers the presence of errors in the explanatory variable (horizontal axis, δ18O). However, not many studies have examined the differences of the relationship using two stable isotopes between the OLS and TLS for various types of water. In this work, these two methods were compared using isotopic compositions of three types of water (Antarctic snow, water vapor and summer and winter rainfall). Statistically, the slopes and intercepts obtained by the two linear regression methods were not significantly different except for summer rainfall, which has the smallest coefficient of variations (R2). The TLS method produced larger slopes than the OLS method and the degrees of difference between the two methods were greater when the coefficient of variation was lower. In addition, with a Monte Carlo method, we showed that the differences between the two methods increased as the uncertainty increased. Moreover, the results of Bayesian linear regression were consistent with the two linear regressions. Although the TLS method is theoretically more suited to the linear regression for the stable water isotopes than the OLS method is, the application of the widely used OLS method can be recommended in the case of small measurements uncertainties after testing whether the linear parameters, slopes and intercepts, derived from the two methods are statistically significant different.",{"EN":1285},"Comparison between total least squares and ordinary least squares in obtaining the linear relationship between stable water isotopes",{"VOID":1287},"Anderson GM (1976) Error propagation by the Monte Carlo method in geochemical calculation. Geochim Cosmochim Acta 40:1533–1538\nBolstad WM, Curran JM (2016) Introduction to Bayesian statistics. Wiley, New Jersey\nCraig H (1961) Isotopic variations in meteoric waters. Science 133(3465):1702–1703\nCrawford J, Hughes CE, Lykoudis S (2014) Alternative least squares methods for determining the meteoric water line, demonstrated using GNIP data. J Hydrol 519:2331–2340\nDansgaard W (1964) Stable isotopes in precipitation. Tellus 16:436–468\nEarman S, Campbell AR, Phillips FM, Newman BD (2006) Isotopic exchange between snow and atmospheric water vapor: estimation of the snowmelt component of groundwater recharge in the southwestern United States. J Geophys Res 111:D09302. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2005JD006470\nGautam MK, Lee K-S, Bong Y-S, Song B-Y, Ryu J-S (2017) Oxygen and hydrogen isotopic characterization of rainfall and throughfall in four South Korean cool temperate forests. Hydrolog Sci J 62(12):2025–2034\nHollins SE, Hughes CE, Crawford J, Cendon DI, Meredith KT (2018) Rainfall isotope variations over the Australian continent—implications for hydrology and isoscape applications. Sci Total Environ 645:630–645\nKeleş T (2018) Comparison of classical least squares and orthogonal regression in measurement error models. Int Online J Educ Sci 10(3):200–214\nLee K-S, Wenner DB, Lee I (1999) Using H- and O-isotopic data for estimating the relative contributions of rainy and dry season precipitation to groundwater: example from Cheju Island, Korea. J Hydrol 222:65–74\nLee J, Feng X, Posmentier E, Faiia A, Taylor S (2009) Stable isotopic exchange rate constant between snow and liquid water. Chem Geol 260:57–62\nLee J, Feng X, Faiia A, Posmentier E, Kirchner J, Osterhuber R, Taylor S (2010) Isotopic evolution of a seasonal snowcover and its melt by isotopic exchange between liquid water and ice. Chem Geol 270:126–134\nLee J, Choi H, Oh J, Na US, Kwak H, Hur SD (2013) Moisture transport observed by water vapor isotopes in the vicinity of coastal area, Incheon, Korea. Econ Environ Geol 46:339–344\nLee J, Hur SD, Lim HS, Jung H (2020) Isotopic characteristics of snow and its meltwater over the Barton Peninsula, Antartica. Cold Reg Sci Technol 173:102997\nMarkovsky I, Van Huffel S (2007a) Overview of total least square methods. Signal Process 87(10):2283–2302\nMasson-Delmotte V, Hou S, Ekaykin A et al (2008) A review on Antarctic surface snow isotopic compositions: observations, atmospheric circulation and isotopic modeling. J Clim 21(13):3359–3387\nMerlivat L, Jouzel J (1979) Global climatic interpretation of the deuterium-oxygen 18 relationship for precipitation. J Geophys Res 84:5029–5033\nPermai SD, Tanty H (2018) Linear regression model using Bayesian approach for energy performance of residential building. Procedia Comput Sci 135:671–677\nPospiech S, Tolosana-Delgado R, van den Boogaart KG (2020) Discriminant analysis for compositional data incorporating cell-wise uncertainties. Math Geosci. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11004-020-09878-x\nStow CA, Reckhow KH, Qian SS (2006) A Bayesian approach to retransformation bias in transformed regression. Ecology 87:1472–1477",{"VOID":1289},"10.1186\u002Fs40562-022-00219-w","2025-01-14T17:51:40.256+00:00","https:\u002F\u002Fgeoscienceletters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40562-022-00219-w",[1293,1308,1323,1336],{"id":1294,"sortIndex":32,"researcher":28,"roles":1295,"affiliations":1296,"properties":1305,"displayName":1307,"givenName":28,"familyName":28},"d23dd64a-6782-42d0-a4bf-57364dee4b7d",[973],[1297],{"id":1298,"sortIndex":32,"affiliation":1299,"properties":28},"b03f03d3-c77b-4752-8ee0-88b0c2d25534",{"id":1298,"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":1304,"statistic":28},[],{"title":1302},{"VI":1303},"Department of Science Education, Ewha Womans University, Seoul, Korea",[],{"title":1306},{"VI":1307},"Jeonghoon 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Lee",{"id":1324,"sortIndex":123,"researcher":28,"roles":1325,"affiliations":1326,"properties":1333,"displayName":1335,"givenName":28,"familyName":28},"17a8df0a-48e1-4439-addb-8307df53bc73",[973],[1327],{"id":1298,"sortIndex":32,"affiliation":1328,"properties":28},{"id":1298,"createTime":28,"updateTime":28,"relativeEntities":1329,"slug":28,"properties":1330,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1332,"statistic":28},[],{"title":1331},{"VI":1303},[],{"title":1334},{"VI":1335},"Hyejung 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Lee",{"url":1291,"publisher":1352,"properties":1393},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1353,"slug":872,"properties":1354,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1357,"manageAffiliations":1362,"indexDatabases":1373,"url":28,"thumbnailPath":28,"statistic":1388,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"title":1355,"eissn":1356},{"EN":875},{"VOID":877},[1358],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1359,"label":1360,"description":1361,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},[1363,1368],{"id":888,"createTime":28,"updateTime":28,"relativeEntities":1364,"slug":28,"properties":1365,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1367,"statistic":28},[],{"title":1366},{"EN":892},[],{"id":895,"createTime":28,"updateTime":28,"relativeEntities":1369,"slug":28,"properties":1370,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1372,"statistic":28},[],{"title":1371},{"EN":899},[],[1374,1381],{"id":903,"indexDatabase":1375,"url":915,"indexYears":28,"academicFieldIds":1380,"indexDatabaseRanking":28},{"id":905,"createTime":28,"updateTime":28,"relativeEntities":1376,"label":1377,"description":1378,"key":912,"publicationTags":1379,"standard":28},[],{"EN":908,"VI":908},{"EN":910,"VI":911},[914,813],[816,917],{"id":919,"indexDatabase":1382,"url":925,"indexYears":926,"academicFieldIds":1387,"indexDatabaseRanking":928},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1383,"label":1384,"description":1385,"key":792,"publicationTags":1386,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[798],{"impactFactor":32,"impactFactorByYear":1389,"i10Index":128,"i10IndexLast5Year":49,"totalPublication":200,"totalPublicationByYear":1390,"totalCitation":935,"totalCitationByYear":1391,"totalCitationPerPublication":938,"totalCitationPerPublicationByYear":1392,"hindexLast5Year":323,"hindex":323},{"2016":123,"2017":40,"2018":931,"2019":235,"2020":932,"2021":933,"2022":45,"2023":579},{"2015":123,"2016":46,"2017":205,"2018":45,"2019":46,"2020":48,"2021":40,"2022":46},{"2015":141,"2016":278,"2017":937,"2018":522,"2019":522,"2020":155,"2021":42,"2022":133},{"2015":940,"2016":941,"2017":942,"2018":943,"2019":944,"2020":945,"2021":42,"2022":946},{"pages":1394,"volume":1396},{"VOID":1395},"1-9",{"VOID":1397},"9","2022-02-22",2022,[914,928],{"id":1402,"createTime":1403,"updateTime":1404,"relativeEntities":1405,"slug":1406,"properties":1407,"entityType":966,"verifyStatus":26,"verifyTime":1404,"verifyNote":967,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1418,"fullTextUrl":28,"authors":1419,"publicationType":1050,"publisherRelationship":1458,"citationCount":28,"citationInfo":28,"publishDate":1500,"publishYear":1501,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1502,"openAccess":28,"references":28,"isForceReanalyzing":1101},"049bcd45-8387-4562-8fdd-8fd0b4cf310a","2024-04-06T15:57:12.952+00:00","2024-12-26T11:15:56.985+00:00",[],"Rethinking-our-world-a-perspective-on-a-cleaner-globe-emerging-from-reduced-anthropogenic-activities",{"abstract":1408,"title":1410,"keywords":1412,"references":1414,"doi":1416},{"EN":1409},"Stringent measures, such as lockdowns, were implemented to curb the virus's spread, leading to reduced pollution levels and environmental improvements at various geographic scales, from cities to regions and nations. Such positive effects have been found and reported for regional scales, but not for a global scale till nowadays. This study aims to fill the gap by uncovering the modifications of global spatiotemporal eco-environmental vulnerability patterns between pre-pandemic (2016) and amid-pandemic (2020) periods. By analyzing various factors influencing the eco-environmental health or geo-health, such as human activities, climate change, and ecological dynamics, we seek to understand the intricate relationships and dynamics within these influential factors. We examined six categories of environmental vulnerability, which encompassed socioeconomics, land resources, natural hazards, hydrometeorology, and topography, using a five-dimensional stressor framework. Our analysis revealed a significant decrease in vulnerability levels across all categories, except for the very low level increased by 78.5% globally. These findings emphasize the detrimental impact of human activities on the global environment. They underscore the urgency of implementing spatial management strategies that prioritize sustainable geo-health development and foster a more resilient Earth.",{"EN":1411},"Rethinking our world: a perspective on a cleaner globe emerging from reduced anthropogenic activities",{"EN":1413},"",{"VOID":1415},"Ban N, Alder J (2008) How wild is the ocean? Assessing the intensity of anthropogenic marine activities in British Columbia, Canada. Aquat Conserv 18:55–85\nBarouki R, Kogevinas M, Audouze K, Belesova K, Bergman A, Birnbaum L, Boekhold S, Denys S, Desseille C, Drakvik E, Frumkin H, Garric J, Destoumieux-Garzon D, Haines A, Huss A, Jensen G, Karakitsios S, Klanova J, Koskela IM, Laden F, Marano F, Franziska Matthies-Wiesler E, Morris G, Nowacki J, Paloniemi R, Pearce N, Peters A, Rekola A, Sarigiannis D, Šebková K, Slama R, Staatsen B, Tonne C, Vermeulen R, Vineis P; HERA-COVID-19 Working Group (2021) The COVID-19 pandemic and global environmental change: emerging research needs. Environ Int 146:106272. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.envint.2020.106272\nChen Y (2022) Flood hazard zone mapping incorporating geographic information system (GIS) and multi-criteria analysis (MCA) techniques. J Hydrol 612(Part C):128268\nChen Z, Song Y, Li Y, Li Z (2023) Assessing the contaminant reduction effects of the COVID-19 pandemic in China. J Clean Prod 424:138887. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jclepro.2023.138887\nColl M (2020) Environmental effects of the COVID-19 pandemic from a (marine) ecological perspective. Ethics Sci Environ Polit 20:41–55. https:\u002F\u002Fdoi.org\u002F10.3354\u002Fesep00192\nCrosetto M, Tarantola S (2001) Uncertainty and sensitivity analysis: tools for GIS-based model implementation. Int J Geogr Inf Sci 15(5):415–437\nDai FC, Lee CF, Zhang XH (2001) GIS-based geo-environmental evaluation for urban land-use planning: a case study. Eng Geol 61:257–271\nEastman JR, Kyem P, Toledano J, Jin W (1993) GIS and decision-making. Explorations in Geographic Information Systems, Volume 4, UNITAR United Nations Institute for Training and Research\nFernández DS, Lutz MA (2010) Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis. Eng Geol 111(1–4):90–98\nGalvani AP, Bauch CT, Anand M, Singer BH, Levin SA (2016) Human–environment interactions in population and ecosystem health. Proc Natl Acad Sci USA 113:14502–14506\nGoel A, Raizada A, Bansal K, Gaur N, Abraham J, Yadav A (2020) Profile of patients suspected to be COVID-19: a retrospective analysis of early pandemic data. Cureus 12(8):e10125. https:\u002F\u002Fdoi.org\u002F10.7759\u002Fcureus.10125\nHalpern BS et al (2008) A global map of human impact on marine ecosystems. Science 319:948–952\nHalpern BS et al (2009) Global hotspots of land-based impacts to coastal marine ecosystems. Conserv Lett 2:189–196\nHenriques M (2020) Will Covid-19 have a lasting impact on the environment. BBC News, London\nHoang D-V, Liou Y-A (2024) Assessing the influence of human activities on flash flood susceptibility in mountainous regions of Vietnam. Ecol Indic 158:111417. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2023.111417\nHu L, Deng WJ, Ying GG, Hong H (2021) Environmental perspective of COVID-19: atmospheric and wastewater environment in relation to pandemic. Ecotoxicol Environ Saf 219:112297. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecoenv.2021.112297\nLiou Y-A, Nguyen KA, Li M-H (2017) Assessing spatiotemporal eco-environmental vulnerability by Landsat data. Ecol Ind 80:52–65\nLiou Y-A, Vo T-H, Nguyen K-A, Terry JP (2023) Air quality improvement following COVID-19 lockdown measures and projected benefits for environmental health. Remote Sens 2023(15):530. https:\u002F\u002Fdoi.org\u002F10.3390\u002Frs15020530\nLiou Y-A, Tran D-P, Nguyen K-A (2024) Spatio-temporal patterns and driving forces of surface urban heat island in Taiwan. Urban Clim. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.uclim.2024.101806\nMicheli F et al (2013) Cumulative human impacts on Mediterranean and Black Sea marine ecosystems: assessing current pressures and opportunities. PLoS ONE 8:e79889\nMyers SS, Patz JA (2009) Emerging threats to human health from global environmental change. Annu Rev Environ Resour 34:223–252. https:\u002F\u002Fdoi.org\u002F10.1146\u002Fannurev.environ.033108.102650\nMyers SS, Gaffikin L, Golden CD, Ostfeld RS, Redford KH, Ricketts T et al (2013) Human health impacts of ecosystem alteration. Proc Natl Acad Sci 110(47):18753–18760. https:\u002F\u002Fdoi.org\u002F10.1073\u002Fpnas.1218656110\nNguyen K-A, Liou Y-A (2019a) Global mapping of eco-environmental vulnerability from human and nature disturbances. Sci Total Environ 664:995–1004\nNguyen K-A, Liou Y-A (2019b) Mapping global eco-environment vulnerability due to human and nature disturbances. MethodsX 6:862–875\nNguyen Q-V, Liou Y-A (2024) Greenspace pattern, meteorology and air pollutant in Taiwan: a multifaceted connection. Sci Total Environ 914:169883. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.scitotenv.2024.169883\nNguyen AK, Liou Y-A, Li M-H, Tran TA (2016) Zoning eco-environmental vulnerability for environmental management and protection. Ecol Indic 69:100–117. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2016.03.026\nNguyen K-A, Liou Y-A, Terry JP (2019) Vulnerability of Vietnam to typhoons: a spatial assessment based on hazards, exposure, and adaptive capacity. Sci Total Environ 682:31–46\nNguyen K-A, Liou Y-A, Vo T-H, Dao D-C, Nguyen H-S (2021) Evaluation of urban greenspace vulnerability to typhoon in Taiwan. Urban for Urban Green. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ufug.2021.127191\nDi Pietro G (2022) Changes in household income during COVID-19: a longitudinal analysis. SN Bus Econ 2:159. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43546-022-00342-y\nRashed T, Weeks J (2003) Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas. Int J Geogr Inf Sci 17(6):547–576. https:\u002F\u002Fdoi.org\u002F10.1080\u002F1365881031000114071\nSaadat S, Rawtani D, Mustansar C (2020) Environmental perspective of COVID-19. Sci Total Environ 728:138870\nSanchez-Paramo C, Hill R, Mahler DG, Narayan A, Yonzan Y (2021) COVID-19 leaves a legacy of rising poverty and widening inequality. World Bank Blogs, October 07, 2021. https:\u002F\u002Fblogs.worldbank.org\u002Fdevelopmenttalk\u002Fcovid-19-leaves-legacy-rising-poverty-and-widening-inequality\nSansare DA, Mhaske SY (2020) Natural hazard assessment and mapping using remote sensing and QGIS tools for Mumbai city, India. Nat Hazards 100:1117–1136. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11069-019-03852-5\nSelkoe KA, Halpern BS, Ebert CM et al (2009) A map of human impacts to a “pristine” coral reef ecosystem, the Papahānaumokuākea Marine National Monument. Coral Reefs 28:635–650. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00338-009-0490-z\nSingh N, Tang Y, Ogunseitan OA (2020) Environmentally sustainable management of used personal protective equipment. Environ Sci Technol 54(14):8500–8502\nTilman D (1999) Global environmental impacts of agricultural expansion: The need for sustainable and efficient practices. PNAS 96(11):5995–6000\nTilman D, Lehman C (2001) Human-caused environmental change: impacts on plant diversity and evolution. Proc Natl Acad Sci 98(10):5433–5440. https:\u002F\u002Fdoi.org\u002F10.1073\u002Fpnas.091093198\nTran D-P, Liou Y-A (2024) Creating a spatially continuous air temperature dataset for Taiwan using thermal remote-sensing data and machine learning algorithms. Ecol Ind 158:111469. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2023.111469\nWorld Economic Forum (2020) https:\u002F\u002Funece.org\u002Fcovid-19-environment-and-climate-change\nWu Y, Pei C, Wang X, Wang Y, Huang D, Shi S, Shen Z, Li S, He Y, Wang Z, Wang J (2022) Probiotics ameliorates pulmonary inflammation via modulating gut microbiota and rectifying Th17\u002FTreg imbalance in a rat model of PM2.5 induced lung injury. Ecotoxicol Environ Saf 244:114060. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecoenv.2022.114060\nYin H, Li C (2001) Human impact on floods and flood disasters on the Yangtze River. Geomorphology 41(2–3):105–109",{"VOID":1417},"10.1186\u002Fs40562-024-00322-0","https:\u002F\u002Fgeoscienceletters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40562-024-00322-0",[1420,1443],{"id":1421,"sortIndex":32,"researcher":28,"roles":1422,"affiliations":1423,"properties":1440,"displayName":1442,"givenName":28,"familyName":28},"15460c54-f20b-4d5a-960e-38ca1811c1e0",[973],[1424,1432],{"id":1425,"sortIndex":32,"affiliation":1426,"properties":28},"f9224aeb-e273-4e96-b8a6-fb62baa9f39c",{"id":1425,"createTime":28,"updateTime":28,"relativeEntities":1427,"slug":28,"properties":1428,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1431,"statistic":28},[],{"title":1429},{"VI":1430},"Institute of Geography, Vietnam Academy of Science and Technology, Hanoi, Vietnam",[],{"id":1433,"sortIndex":32,"affiliation":1434,"properties":28},"b112fa9a-df74-4e64-a36e-152ed6972603",{"id":1433,"createTime":28,"updateTime":28,"relativeEntities":1435,"slug":28,"properties":1436,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1439,"statistic":28},[],{"title":1437},{"VI":1438},"Graduate University of Science and Technology, Vietnam Academy of Science\n\t\t\t\t\tand Technology, Hanoi, Vietnam",[],{"title":1441},{"VI":1442},"Kim-Anh Nguyen",{"id":1444,"sortIndex":40,"researcher":28,"roles":1445,"affiliations":1446,"properties":1455,"displayName":1457,"givenName":28,"familyName":28},"bc30ed30-213a-47b5-9754-23c083dd63ec",[973],[1447],{"id":1448,"sortIndex":32,"affiliation":1449,"properties":28},"ce2d4403-bab9-4526-bcc2-40c6ff1e4155",{"id":1448,"createTime":28,"updateTime":28,"relativeEntities":1450,"slug":28,"properties":1451,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1454,"statistic":28},[],{"title":1452},{"VI":1453},"Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan, ROC",[],{"title":1456},{"VI":1457},"Yuei-An Liou",{"url":28,"publisher":1459,"properties":28},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1460,"slug":872,"properties":1461,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1464,"manageAffiliations":1469,"indexDatabases":1480,"url":28,"thumbnailPath":28,"statistic":1495,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"title":1462,"eissn":1463},{"EN":875},{"VOID":877},[1465],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1466,"label":1467,"description":1468,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},[1470,1475],{"id":888,"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":1474,"statistic":28},[],{"title":1473},{"EN":892},[],{"id":895,"createTime":28,"updateTime":28,"relativeEntities":1476,"slug":28,"properties":1477,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1479,"statistic":28},[],{"title":1478},{"EN":899},[],[1481,1488],{"id":903,"indexDatabase":1482,"url":915,"indexYears":28,"academicFieldIds":1487,"indexDatabaseRanking":28},{"id":905,"createTime":28,"updateTime":28,"relativeEntities":1483,"label":1484,"description":1485,"key":912,"publicationTags":1486,"standard":28},[],{"EN":908,"VI":908},{"EN":910,"VI":911},[914,813],[816,917],{"id":919,"indexDatabase":1489,"url":925,"indexYears":926,"academicFieldIds":1494,"indexDatabaseRanking":928},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1490,"label":1491,"description":1492,"key":792,"publicationTags":1493,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[798],{"impactFactor":32,"impactFactorByYear":1496,"i10Index":128,"i10IndexLast5Year":49,"totalPublication":200,"totalPublicationByYear":1497,"totalCitation":935,"totalCitationByYear":1498,"totalCitationPerPublication":938,"totalCitationPerPublicationByYear":1499,"hindexLast5Year":323,"hindex":323},{"2016":123,"2017":40,"2018":931,"2019":235,"2020":932,"2021":933,"2022":45,"2023":579},{"2015":123,"2016":46,"2017":205,"2018":45,"2019":46,"2020":48,"2021":40,"2022":46},{"2015":141,"2016":278,"2017":937,"2018":522,"2019":522,"2020":155,"2021":42,"2022":133},{"2015":940,"2016":941,"2017":942,"2018":943,"2019":944,"2020":945,"2021":42,"2022":946},"2024-02-27",2024,[914,928],{"id":1504,"createTime":1505,"updateTime":1506,"relativeEntities":1507,"slug":1508,"properties":1509,"entityType":966,"verifyStatus":26,"verifyTime":1506,"verifyNote":967,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1518,"fullTextUrl":28,"authors":1519,"publicationType":1050,"publisherRelationship":1535,"citationCount":28,"citationInfo":28,"publishDate":1581,"publishYear":1099,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":1582,"openAccess":28,"references":28,"isForceReanalyzing":1101},"059a0147-81fb-41de-a48b-9789b69d8fc1","2024-02-06T15:09:37.134+00:00","2025-01-30T04:47:52.065+00:00",[],"Tidal-and-internal-tidal-impacts-in-the-Tasman-Sea",{"abstract":1510,"title":1512,"references":1514,"doi":1516},{"EN":1511},"Barotropic and baroclinic tides were simulated for the Coral and Tasman Seas off eastern Australia and compared to a simulation without tides. Both simulations included geostrophic currents and replicated a current analogous to the East Australian Current (EAC). Tides and tidal currents in most of this region are weak, generally 1–2 cm s−1, with the exception of the far northwest portion of the Coral Sea. Even these weak tides were found to impact the mean EAC-like current transport, enhancing it by 1–4 Sv in some areas. Southward flow increased over the continental shelf. Tides did not appear to impact eddy formation, size, or rotational speed; however, they affected eddy propagation. Cyclonic eddies propagated northward faster with tides than without tides. Tides impacted cross-shelf transport of colder water, with significantly more on-shore transport occurring with tides, particularly equatorward of the diurnal critical latitudes. Cross-shelf transport of nutrient rich water onto the shelf is important in this oligotrophic region. Although the prime source of vertical shear and mixing were mean currents and eddies, tides played a secondary role. Tides influenced mixing by increasing vertical temperature diffusivities to 10−4 to 10−3 m2 s−1 over portions of the continental slope and over rough topography, particularly in regions near the diurnal critical latitudes (27°–30°). In conclusion, even small tides can significantly impact the circulation through their effects on the mean currents, eddy rotation velocities, eddy propagation, and mixing.",{"EN":1513},"Tidal and internal tidal impacts in the Tasman Sea",{"VOID":1515},"Callendar W, Klymak JM, Foreman MGG (2011) Tidal generation of large sub-mesoscale eddy dipoles. Ocean Sci 7:487–502. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fos-7-487-2001\nDong J, Robertson R, Dong C, Hartlipp PS, Zhou T, Shao Z, Lin W, Zhou M, Chen J (2019) Impacts of mesoscale currents on the diurnal critical latitude dependence of internal tides: a numerical experiment based on Barcoo Seamount. J Geophys Res Oceans. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2018JC014413\nEgbert GD, Ray R (2000) Significant dissipation of tidal energy in the deep ocean inferred from satellite altimeter data. Nature 405:775–777\nEgbert GD, Erofeeva S (2002) Efficient inverse modeling of barotropic ocean tides. J Atmos Oceanic Tech 19:22475–22502. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2003GL019003\nFlather RA, Proctor R (1983) Prediction of North Sea storm surge using numerical models: recent developements in the UK. In: Sundermann J, Lenz W (eds) North Sea Dynamics. Springer, Berlin, pp 299–317\nFurevik T, Foldvik A (1996) Stability at M2 critical latitude in the Barents Sea. J Geophys Res 101:8823–8837\nGeiger CA, Ackley SF, Hibler WD III (1998) Sea-ice and deformation processes in the western Weddell Sea, Antarctic Sea-ice: physical processes, interactions and variability. Antar Res Ser 74:141–160\nHosegood P, Bonnin J, van Haren H (2004) Solibore-induced sediment resuspension in the Faeroe-Shetland Channel. Geophys Res Lett. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2004GL019544\nKoch-Larrouy AA, van Atmadipoera P, Beek G, Madec J, Aucan F, Lyard J, Grelet MS (2015) Estimates of tidal mixing in the Indonesian archipelago from multidisciplinary in–situ INDOMIX data. Deep-Sea Res. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.dsr.2015.09.007\nKottmeier C, Koentopp M, Eisen O, Padman L, Lemke P (2005) Influence of tides on sea-ice in the Weddell Sea: investigations with a high-resolution dynamic-thermodynamic sea-ice model. J Geophys Res. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2004JC02405\nKottmeier C, Sellmann L (1996) Atmospheric and oceanic forcing of Weddell Sea-ice motion. J Geophys Res 101:20373–20383\nKunze E, Toole JM (1997) Tidally driven vorticity, diurnal shear, and turbulence atop Fieberling seamount. J Phys Oceanog 28:811–814\nKunze E, Firing E, Hummon JM, Chereskin TK, Thurnherr AM (2006) Global abyssal mixing inferred from Lowered ADCP shear and CTD strain profiles. J Phys Ocean 36:1553–1576\nLamb H (1993) Hydrodynamics. Cambridge University Press, New York, p 738\nLevitus S, Antonov JI, Baranova OK, Boyer TP, Coleman H Garcia CL, Johnson DRG, Locarnini RA, Mishonov AV, Reagan JR, Sazama CL, Seidov D, Smolyar I, Yarosh ES, Zweng MM (2013) The World Ocean Database. J Data Sci 12:229–234.\nLocarnini, R A, Mishonov A V, Antonov J I., Boyer T P, Garcia H , ;Baranova O K, Zweng M M, Paver C R, Reagan J R, Johnson D R, Hamilton M, Seidov D, Levitus S (2013 ) World ocean atlas 2013. Volume 1, Temperature, National Oceanographic Data Center (U.S.), Ocean Climate Laboratory,;United States, National Environmental Satellite, Data, and Information Service, NOAA atlas NESDIS ; 73, http:\u002F\u002Fdoi.org\u002F10.7289\u002FV55X26VD\nMartinsen EA, Engedahl H (1987) Implementation and testing of a lateral boundary scheme as an open boundary condition in a barotropic ocean model. Coastal Eng 11:603–627\nNakanishi M, Niino H (2009) Development of an improved turbulence closure model for the atmospheric boundary layer. J Meteor Soc Japan 87:895–912\nNansen F (1898) Farthest North, vol 1. George Newnes, London, p 587\nPawlowicz R, Beardsley B, Lentz S (2002) Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE. Comput Geosci 28:929–937\nPolzin KL, Toole JM, Ledwell JR, Schmitt RW (1997) Spatial variability of turbulent mixing in the abyssal ocean. Science 276:93–96. https:\u002F\u002Fdoi.org\u002F10.1126\u002Fscience.276.5309.9\nRobertson R (2001) Internal tides and baroclinicity in the southern Weddell Sea: Part I: model description, and comparison of model results to observations. J Geophys Res Oceans 106:27001–27016\nRobertson R (2005a) Barotropic and baroclinic tides in the Ross Sea. Antarct Sci 17:107–120. https:\u002F\u002Fdoi.org\u002F10.1017\u002FS0954102005002506\nRobertson R (2005b) Baroclinic and barotropic tides in the Weddell Sea. Antarct Sci 17:461–474. https:\u002F\u002Fdoi.org\u002F10.1017\u002FS0954102005002890\nRobertson R (2010) Tidal Currents and mixing at the INSTANT mooring locations. Dyn Atmos Oceans 50:331–373\nRobertson R (2011) Interactions between tides and other frequencies in the Indonesian Seas. Ocean Dyn 61:69–88. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10236-010-0343x\nRobertson R (2013) Tidally induced increases in melting of Amundsen Sea ice shelves. J of Geophys Res 118:1–8. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjgrc.20236\nRobertson R, Padman L, Egbert GD (1998) Tides in the Weddell Sea. Ocean, Ice, and Atmosphere: Interactions at the Antarctic Continental Margin, Antarctic Research Series 75:341–369\nRobertson R, Beckmann A, Hellmer H (2003) M2 tidal dynamics in the Ross Sea. Antarct Sci 15:41–46\nRobertson R, Dong CM (2019) An evaluation of the performance of vertical mixing parameterizations for tidal mixing in the Regional Ocean Modeling System (ROMS). Geoscience Letters. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs40562-019-0146-y\nRobertson R, Ffield A (2008) Baroclinic Tides in the Indonesian Seas Tidal Fields and Comparisons to Observations. J Geophys Res. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2007JC004677\nRobertson, R., Dong J, Hartlipp P (2017) Diurnal critical latitude and the latitude dependence of internal tides, internal waves and mixing, J. Geophys. Res. Oceans. https:\u002F\u002Fdoi.org\u002F10.1002\u002F2016jc012591\nRobertson R (2006) Modeling internal tides over fieberling guyot: resolution, parameterization, performance. Ocean Dyn. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10236-006-0062-5\nRoughan M, Keating SR, Schaeffer A, Cetina Heredia P, Rocha C, Griffin D, Robertson R, Suthers IM (2017) A tale of two eddies: The biophysical characteristics of two contrasting cyclonic eddies in the East Australian Current System. J Geophys Res Oceans. https:\u002F\u002Fdoi.org\u002F10.1002\u002F2016JC012241\nShchepetkin AF, McWilliams JC (2004) The regional oceanic modeling system (ROMS) a split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Model. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ocemod.2004.08.002\nSikiric MD, Janekovic I, Kuzmic M (2009) A new approach to bathymetry smoothing in sigma-coordinate ocean models. Ocean Model 29(2):128–136. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ocemod.2009.03.009\nStevens CL, Sutton PJH, Law CS (2012) Internal waves downstream of Norfolk Ridge, western Pacific, and their biophysical implications. Limnol Oceanog 57:897–911. https:\u002F\u002Fdoi.org\u002F10.4319\u002Flo.2012.54.4.0897\nSutyrin GG, Rowe GD, Rothstein LM, Ginis I (2003) Barocinic eddy interactions with continental Slopes and Shelves. J Phys Oceanogr 33:283–291\nTakeoka H, Murao H (1993) Tidal currents influenced by topographic eddies in Uchiumi Bay. J Oceanogr 49:491–501\nWhiteway, T and Australia. 2009 Department of Industry, Tourism and Resources and Geoscience Australia. Australian Bathymetry and Topography, https:\u002F\u002Fwww.ga.gov.au\u002Fproducts\u002Fservlet\u002Fcontroller?event=GEOCAT_DETAILS&catno=67703\nWilkin JL, Zhang WG (2007) Modes of mesoscale sea surface height and temperature variability in the East Australian Current. J Geophys Res 112:C01013. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2006JC003590\nWoodham R, Brassington GB, Robertson R, Alves O (2013) Propagation characteristics of coastally trapped waves on the Australian continental shelf during 2009. J Geophys Res 118:1–13. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjgrc.20317\nXu, C. (2020) Eddy dectection algorithm for Matlab, https:\u002F\u002Fau.mathworks.com\u002Fmatlabcentral\u002Ffileexchange\u002F103810-simpleeddydetection.\nZavala-Garay J, Wilkin JL, Arango HG (2012) Predictability of mesoscale variability in the East Australian Current given strong-constraint data assimilation. 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In the mid-2018, the island of Lombok was shaken by a series of strong earthquakes, started with a moment magnitude (Mw) 6.4 earthquake on July 29, 2018 followed by earthquakes on August 5 (Mw 7.0), August 9 (Mw 5.9), and August 19 (Mw 6.3 and 6.9). Some researchers suggested that this phenomenon occurred due to a segmentation rupture in the northern part of Lombok Island. This study aims to obtain information on the distribution of the Lombok earthquake fault zone 2018 and also to understand the character of seismic anisotropy around the Lombok earthquake fault zone 2018 through Shear Wave Splitting (SWS) study. Splitting, or S-wave separation, occurs when the S wave passes through an anisotropic medium. The S wave is split into fast and slow S waves with almost orthogonal polarizations and has parameters such as delay time and polarization direction of the fast S wave. To determine the SWS parameters, we used a Lombok earthquake aftershock data set recorded from 4 August to 9 September 2018, using 16 seismographic stations. The steps taken to obtain the SWS parameters are event selection, windowing using short time Fourier transform, and rotation-correlation process. The results of the SWS analysis indicate that the fast polarization directions probably have a linkage with the local fault system and the fault related to the Lombok earthquake fault zone.",{"EN":1592},"Shear wave splitting of the 2018 Lombok earthquake aftershock area, 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J Asia Earth Sci 80:172–184",{"id":2023,"createTime":2024,"updateTime":2025,"relativeEntities":2026,"slug":2027,"properties":2028,"entityType":966,"verifyStatus":26,"verifyTime":2037,"verifyNote":967,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":2038,"fullTextUrl":28,"authors":2039,"publicationType":1050,"publisherRelationship":2055,"citationCount":28,"citationInfo":28,"publishDate":2102,"publishYear":2103,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":2104,"openAccess":28,"references":28,"isForceReanalyzing":1101},"0b1eb227-7c2c-4289-8992-ff5c990afdc9","2023-11-27T10:06:49.929+00:00","2024-12-16T06:23:07.300+00:00",[],"Advances-in-earthquake-and-tsunami-sciences-and-disaster-risk-reduction-since-the-2004-Indian-ocean-tsunami",{"abstract":2029,"title":2031,"references":2033,"doi":2035},{"EN":2030},"The December 2004 Indian Ocean tsunami was the worst tsunami disaster in the world’s history with more than 200,000 casualties. This disaster was attributed to giant size (magnitude M ~ 9, source length >1000 km) of the earthquake, lacks of expectation of such an earthquake, tsunami warning system, knowledge and preparedness for tsunamis in the Indian Ocean countries. In the last ten years, seismology and tsunami sciences as well as tsunami disaster risk reduction have significantly developed. Progress in seismology includes implementation of earthquake early warning, real-time estimation of earthquake source parameters and tsunami potential, paleoseismological studies on past earthquakes and tsunamis, studies of probable maximum size, recurrence variability, and long-term forecast of large earthquakes in subduction zones. Progress in tsunami science includes accurate modeling of tsunami source such as contribution of horizontal components or “tsunami earthquakes”, development of new types of offshore and deep ocean tsunami observation systems such as GPS buoys or bottom pressure gauges, deployments of DART gauges in the Pacific and other oceans, improvements in tsunami propagation modeling, and real-time inversion or data assimilation for the tsunami warning. These developments have been utilized for tsunami disaster reduction in the forms of tsunami early warning systems, tsunami hazard maps, and probabilistic tsunami hazard assessments. Some of the above scientific developments helped to reveal the source characteristics of the 2011 Tohoku earthquake, which caused devastating tsunami damage in Japan and Fukushima Dai-ichi Nuclear Power Station accident. Toward tsunami disaster risk reduction, interdisciplinary and trans-disciplinary approaches are needed for scientists with other stakeholders.",{"EN":2032},"Advances in earthquake and tsunami sciences and disaster risk reduction since the 2004 Indian ocean tsunami",{"VOID":2034},"Lay T, Kanamori H, Ammon CJ, Nettles M, Ward SN, Aster RC, Beck SL, Bilek SL, Brudzinski MR, Butler R, DeShon HR, Ekstrom G, Satake K, Sipkin S: The great Sumatra-Andaman earthquake of 26 december 2004. Science 2005, 308(5725):1127–1133. 10.1126\u002Fscience.1112250\nEkström G: 4.16 - global seismicity: results from systematic waveform analyses, 1976–2005. In Treatise on geophysics. Edited by: Schubert G. Elsevier, Amsterdam; 2007:473–481. 10.1016\u002FB978-044452748-6.00077-8\nAmmon CJ, Ji C, Thio HK, Robinson D, Ni SD, Hjorleifsdottir V, Kanamori H, Lay T, Das S, Helmberger D, Ichinose G, Polet J, Wald D: Rupture process of the 2004 Sumatra-Andaman earthquake. 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Nat Hazards Earth Syst Sci 2011, 11(3):765–769. 10.5194\u002Fnhess-11-765-2011\nGeist E, Parsons T: Probabilistic analysis of tsunami hazards. Nat Hazards 2006, 37: 277–314. 10.1007\u002Fs11069-005-4646-z\nGonzález FI, Geist EL, Jaffe B, Kânoğlu U, Mofjeld H, Synolakis CE, Titov VV, Arcas D, Bellomo D, Carlton D, Horning T, Johnson J, Newman J, Parsons T, Peters R, Peterson C, Priest G, Venturato A, Weber J, Wong F, Yalciner A: Probabilistic tsunami hazard assessment at seaside, Oregon, for near- and far-field seismic sources. J Geophys Res Oceans 2009, 114(C11):C11023. 10.1029\u002F2008JC005132\nAnnaka T, Satake K, Sakakiyama T, Yanagisawa K, Shuto N: Logic-tree approach for probabilistic tsunami hazard analysis and its applications to the Japanese coasts. Pure Appl Geophys 2007, 164(2–3):577–592. 10.1007\u002Fs00024-006-0174-3\nSakai T, Takeda T, Soraoka H, Yanagisawa K, Annaka T: Development of a probabilistic tsunami hazard analysis in Japan. In Proceedings of ICONE 14, international conference on nuclear engineering. ASME (American Society of Mechanical Engineers), Miami, Florida, USA; 2006:1–7.\nKodama S (2013) Tsunami-tendenko and morality in disasters. J Medical Ethics doi:10.1136\u002Fmedethics-2012–100813\nYamori K: Revisiting the concept of tsunami tendenko: tsunami evacuation behavior in the great east Japan earthquake. J Disaster Res 2013, 8: 115–116.",{"VOID":2036},"10.1186\u002Fs40562-014-0015-7","2024-12-16T06:23:07.299+00:00","http:\u002F\u002Fwww.geoscienceletters.com\u002Fcontent\u002F1\u002F1\u002F15",[2040],{"id":2041,"sortIndex":32,"researcher":28,"roles":2042,"affiliations":2043,"properties":2052,"displayName":2054,"givenName":28,"familyName":28},"ad76ee40-1acb-4101-9e74-98ad3844b651",[973],[2044],{"id":2045,"sortIndex":32,"affiliation":2046,"properties":28},"ab7c4916-f977-4b67-8dd0-8519009d601f",{"id":2045,"createTime":28,"updateTime":28,"relativeEntities":2047,"slug":28,"properties":2048,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2051,"statistic":28},[],{"title":2049},{"VI":2050},"Earthquake Research Institute, The University of Tokyo, Yayoi, Bunkyo-ku, Japan",[],{"title":2053},{"VI":2054},"Kenji Satake",{"url":2038,"publisher":2056,"properties":2097},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2057,"slug":872,"properties":2058,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":2061,"manageAffiliations":2066,"indexDatabases":2077,"url":28,"thumbnailPath":28,"statistic":2092,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"title":2059,"eissn":2060},{"EN":875},{"VOID":877},[2062],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":2063,"label":2064,"description":2065,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},[2067,2072],{"id":888,"createTime":28,"updateTime":28,"relativeEntities":2068,"slug":28,"properties":2069,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2071,"statistic":28},[],{"title":2070},{"EN":892},[],{"id":895,"createTime":28,"updateTime":28,"relativeEntities":2073,"slug":28,"properties":2074,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2076,"statistic":28},[],{"title":2075},{"EN":899},[],[2078,2085],{"id":903,"indexDatabase":2079,"url":915,"indexYears":28,"academicFieldIds":2084,"indexDatabaseRanking":28},{"id":905,"createTime":28,"updateTime":28,"relativeEntities":2080,"label":2081,"description":2082,"key":912,"publicationTags":2083,"standard":28},[],{"EN":908,"VI":908},{"EN":910,"VI":911},[914,813],[816,917],{"id":919,"indexDatabase":2086,"url":925,"indexYears":926,"academicFieldIds":2091,"indexDatabaseRanking":928},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":2087,"label":2088,"description":2089,"key":792,"publicationTags":2090,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[798],{"impactFactor":32,"impactFactorByYear":2093,"i10Index":128,"i10IndexLast5Year":49,"totalPublication":200,"totalPublicationByYear":2094,"totalCitation":935,"totalCitationByYear":2095,"totalCitationPerPublication":938,"totalCitationPerPublicationByYear":2096,"hindexLast5Year":323,"hindex":323},{"2016":123,"2017":40,"2018":931,"2019":235,"2020":932,"2021":933,"2022":45,"2023":579},{"2015":123,"2016":46,"2017":205,"2018":45,"2019":46,"2020":48,"2021":40,"2022":46},{"2015":141,"2016":278,"2017":937,"2018":522,"2019":522,"2020":155,"2021":42,"2022":133},{"2015":940,"2016":941,"2017":942,"2018":943,"2019":944,"2020":945,"2021":42,"2022":946},{"pages":2098,"volume":2100},{"VOID":2099},"1-13",{"VOID":2101},"1","2014-11-13",2014,[914,928],{"id":2106,"createTime":2107,"updateTime":2108,"relativeEntities":2109,"slug":2110,"properties":2111,"entityType":966,"verifyStatus":26,"verifyTime":2108,"verifyNote":967,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":2120,"fullTextUrl":28,"authors":2121,"publicationType":1050,"publisherRelationship":2152,"citationCount":28,"citationInfo":28,"publishDate":2198,"publishYear":1399,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":2199,"openAccess":28,"references":28,"isForceReanalyzing":1101},"0bcbe7fb-9471-4bda-8c14-37ebf99bd8d1","2024-01-09T01:34:52.315+00:00","2024-12-20T10:16:00.796+00:00",[],"Predicting-temperature-and-precipitation-during-the-flood-season-based-on-teleconnection",{"abstract":2112,"title":2114,"references":2116,"doi":2118},{"EN":2113},"In recent years, the damages resulting from abnormal hydrometeorological climate have substantially increased over the world due to the climate variability and change. Especially, the flood damage has been severely occurred during the flood season almost every year in Korea. For an example, we had the localized heavy rainfalls for 54 days in flood season of 2020 and had huge property damage and loss of life. Therefore, the study needs to be conducted to improve the predictive power of seasonal time-scale forecasts spanning one to several months for the damage reduction and prevention. In this regard, this study aims to provide a priori predictions (several months ahead) of the climate variable at target sites with a statistical method based on teleconnection with global climatic conditions. Herein, the paradigm of the temperature and precipitation prediction in the Geum river basin in Korea is presented. The purposes of the study are also (1) to analyse the characteristics of summer temperatures and precipitation according to the occurrence of El Niño\u002FLa Niña and (2) to suggest a seasonal prediction model that can consider the effects of the occurrence of El Niño and La Niña during the flood season. The model is constructed by classifying the data period into El Niño, La Niña, and neutral status. Then we have shown that the prediction model improves the predictive power for the predictions of climate variables such as temperature and precipitation at mid-latitude stations which Korea is located. Therefore, this study demonstrates the possibility of improving the predictive power for forecasting temperature and precipitation by the prediction model considering climate variability.",{"EN":2115},"Predicting temperature and precipitation during the flood season based on teleconnection",{"VOID":2117},"Ahn SR, Park GA, Kim SJ (2013) Assessment of agricultural water supply capacity using MODSIM-DSS coupled with SWAT. J Korean Soc Civ Eng 33(2):507–519\nAmarasekera KN, Lee RF, Williams ER, Eltahir EAB (1997) ENSO and the natural variability in the flow tropical rivers. J Hydrol 200:24–39. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0022-1694(96)03340-9\nAsong ZE, Wheater HS, Bonsal B, Razavi S, Kurkute S (2018) Historical drought patterns over Canada and their teleconnections with large-scale climate signals. Hydrol Earth Syst Sci 22(6):3105–3124\nBonsal B, Shabbar A, Higuchi K (2001) Impacts of low frequency variability modes on Canadian winter temperature. Int J Climatol 21:95–108. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.590\nBroman D, Rajagopalan B, Hopson T, Gebremichael M (2020) Spatial and temporal variability of East African Kiremt season precipitation and large-scale teleconnections. Int J Climatol 40(2):1241–1254\nCai W, Van Rensch P, Cowan T, Hendon HH (2011) Teleconnection pathways of ENSO and the IOD and the mechanisms for impacts on Australian rainfall. J Clim 24(15):3910–3923\nCao Q, Hao Z, Yuan F, Su Z, Berndtsson R, Hao J, Nyima T (2017) Impact of ENSO regimes on developing- and decaying-phase precipitation during rainy season in China. Hydrol Earth Syst Sci 21:5415–5426. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-21-5415-2017\nCha EJ, Jhun JG, Chung HS (1999) A study on characteristics of climate in South Korea for El Niño\u002FLa Niña years. J Korean Meteor Soc 35:98–117\nCho JP, Jung IW, Kim CG, Kim TG (2016) One-month lead dam inflow forecast using climate indices based on teleconnection. J Korea Water Resour Assoc 49(5):361–372\nChoi KS, Moon IJ (2013) Two climate factors in May that affect Korean rainfall in September. Acta Oceanol Sinica 32:32–47\nDenise C, Rogers W, Beringer J (2017) Describing rainfall in northern Australia using multiple climate indices. Biogeosciences 14:597–615. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fbg-14-597-2017\nFeng X, Klingaman NP, Hodges KI, Guo YP (2020) Western North Pacific tropical cyclones in the Met office global seasonal forecast system: performance and ENSO teleconnections. J Clim 33(24):10489–10504\nGerlitz L, Vorogushyn S, Apel H, Gafurov A, Unger-Shayesteh K, Merz BA (2016) Statistically based seasonal precipitation forecast model with automatic predictor selection and its application to central and south Asia. Hydrol Earth Syst Sci 20:4605–4623. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-20-4605-2016\nHe S, Wang H (2013) Impact of the November\u002FDecember Arctic oscillation on the following January temperature in East Asia. J Geophys Res Atmos 118(23):12–981\nHe S, Gao Y, Li F, Wang H, He Y (2017) Impact of Arctic oscillation on the East Asian climate: a review. Earth Sci Rev 164:48–62\nKim HJ, Ahn JB (2012) Possible impact of the autumnal North Pacific SST and November AO on the East Asian winter temperature. J Geophys Res Atmos. 117(D12)\nKim MK, Kim YH (2010) Seasonal prediction of monthly precipitation in China using large-scale climate indices. Adv Atmos Sci 27:47–59\nKim JY, Park HJ (2010) Impacts of Northern-hemisphere teleconnection patterns on precipitation in Korea. Water Future 43(7):57–61\nKim MK, Kim YH, Lee WS (2007) Seasonal prediction of Korean regional climate from preceding Large-scale climate indices. Int J Climatol 27:925–934\nKim BS, Kim SJ, Kim BK, Kim HS, Seoh BH (2008a) Assessment of the ENSO impact on rainfall characteristics and frequency analysis in South Korea. In World Environmental and Water Resources Congress 2008: AhupuaA: 1–14\nKim YH, Kim MG, Lee WS (2008b) An investigation of large-scale climate indices with the influence on temperature and precipitation variation in Korea. Atmosphere 18(2):85–97\nKim YT, Lee MS, Chae BS, Kwon HH (2018) A development of summer seasonal rainfall and extreme rainfall outlook using Bayesian beta model and climate information. J Korean Soc Civ Eng 38(5):655–669\nKorecha D, Sorteberg A (2013) Validation of operational seasonal rainfall forecast in Ethiopia. Water Resour Res 49:7681–7697. https:\u002F\u002Fdoi.org\u002F10.1002\u002F2013WR013760\nLee H (2015) General rainfall patterns in Indonesia and the potential impacts of local season rainfall intensity. Water 7:1751–1769. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fw7041751\nLee JH, Julien PY (2016) ENSO impacts on temperature over South Korea. Int J Climatol 36(11):3651–3663\nLee JH, Lee JH, Julien PY (2018) Global climate teleconnection with rainfall erosivity in South Korea. CATENA 167:28–43\nMamalakis A, Yu JY, Randerson JT, AghaKouchak A, Foufoula-Georgiou E (2018) A new interhemispheric teleconnection increases predictability of winter precipitation in southwestern US. Nat Commun 9(1):1–10\nMeißner D, Klein B, Ionita M (2017) Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe. Hydrol Earth Syst Sci 21(12):6401–6423\nNurutami MN, Hidayat R (2016) Influences of IOD and ENSO to Indonesian rainfall variability: role of Atmosphere-ocean interaction in the Indo-pacific sector. Proced Environ Sci 33:196–203. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.proenv.2016.03.070\nO’Reilly CH (2018) Interdecadal variability of the ENSO teleconnection to the wintertime North Pacific. Clim Dyn 51(9–10):3333–3350\nOuyang R, Liu W, Fu G, Liu C, Hu L, Wang H (2014) Linkages between ENSO\u002FPDO signals and precipitation, streamflow in China during the last 100 years. Hydrol Earth Syst Sci 18:3651–3661. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-18-3651-2014\nPark HJ, Ahn JB (2016) Combined effect of the Arctic oscillation and the western Pacific pattern on East Asia winter temperature. Clim Dyn 46(9):3205–3221\nQiu Y, Cai W, Guo X, Ng B (2014) The asymmetric influence of the positive and negative IOD events on Chinas rainfall. Scient Rep 4:4943. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fsrep04943\nSchepen A, Wang QJ, Robertson DE (2012) Evidence for using lagged climate indices to forecast Australian seasonal rainfall. J Clim 25:1230–1246\nSeibert M, Merz B, Apel H (2017) Seasonal forecasting of hydrological drought in the Limpopo Basin: a comparison of statistical methods. Hydrol Earth Syst Sci 21:1611–1629. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-21-1611-2017\nShabbar A, Khandekar M (1996) The impact of el Nino-Southern oscillation on the temperature field over Canada: research note. Atmos Ocean 34:401–416. https:\u002F\u002Fdoi.org\u002F10.1080\u002F07055900.1996.9649570\nShabbar A, Yu B (2012) Intra seasonal Canadian winter temperature responses to interannual and interdecadal Pacific SST modulations. Atmos Ocean 50:109–121. https:\u002F\u002Fdoi.org\u002F10.1080\u002F07055900.2012.657154\nSilva MTD, Hornberger GM (2019) Identifying El Niño-Southern oscillation influences on rainfall with classification models: implications for water resource management of Sri Lanka. Hydrol Earth Syst Sci 23(4):1905–1929\nSinghrattna N, Rajagopalan B, Clark M, Kumar KK (2005) Seasonal forecasting of Thailand summer monsoon rainfall. Int J Climatol 25:649–664. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.1144\nSittichok K, Seidou O, Gado Djibo A, Rakangthong NK (2018) Estimation of the added value of using rainfall–runoff transformation and statistical models for seasonal streamflow forecasting. Hydrol Sci J 63(4):630–645\nWang B, Wu Z, Li J, Liu J, Chang CP, Ding Y, Wu G (2008) How to measure the strength of the East Asian summer monsoon? J Clim 21:4449–4463\nWood AW, Lettenmaier DP (2006) A test bed for new seasonal hydrologic forecasting approaches in the western United States. Bull Am Meteorol Soc 87(12):1699–1712",{"VOID":2119},"10.1186\u002Fs40562-022-00212-3","https:\u002F\u002Fgeoscienceletters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40562-022-00212-3",[2122,2137],{"id":2123,"sortIndex":32,"researcher":28,"roles":2124,"affiliations":2125,"properties":2134,"displayName":2136,"givenName":28,"familyName":28},"635abd8f-e7a0-441c-b544-9a10d54e4607",[973],[2126],{"id":2127,"sortIndex":32,"affiliation":2128,"properties":28},"faec6c9c-2b87-4004-ab08-5fba4dd36ec2",{"id":2127,"createTime":28,"updateTime":28,"relativeEntities":2129,"slug":28,"properties":2130,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2133,"statistic":28},[],{"title":2131},{"VI":2132},"Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang, Republic of Korea",[],{"title":2135},{"VI":2136},"Jaewon Jung",{"id":2138,"sortIndex":40,"researcher":28,"roles":2139,"affiliations":2140,"properties":2149,"displayName":2151,"givenName":28,"familyName":28},"b8acad07-ea8c-4f88-af28-bef74edec4f5",[973],[2141],{"id":2142,"sortIndex":32,"affiliation":2143,"properties":28},"f5c4b7bd-7534-4445-b2c4-124fd5e747e4",{"id":2142,"createTime":28,"updateTime":28,"relativeEntities":2144,"slug":28,"properties":2145,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2148,"statistic":28},[],{"title":2146},{"VI":2147},"Department of Civil Engineering, Inha University, Incheon, Republic of Korea",[],{"title":2150},{"VI":2151},"Hung Soo Kim",{"url":2120,"publisher":2153,"properties":2194},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2154,"slug":872,"properties":2155,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":2158,"manageAffiliations":2163,"indexDatabases":2174,"url":28,"thumbnailPath":28,"statistic":2189,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"title":2156,"eissn":2157},{"EN":875},{"VOID":877},[2159],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":2160,"label":2161,"description":2162,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},[2164,2169],{"id":888,"createTime":28,"updateTime":28,"relativeEntities":2165,"slug":28,"properties":2166,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2168,"statistic":28},[],{"title":2167},{"EN":892},[],{"id":895,"createTime":28,"updateTime":28,"relativeEntities":2170,"slug":28,"properties":2171,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2173,"statistic":28},[],{"title":2172},{"EN":899},[],[2175,2182],{"id":903,"indexDatabase":2176,"url":915,"indexYears":28,"academicFieldIds":2181,"indexDatabaseRanking":28},{"id":905,"createTime":28,"updateTime":28,"relativeEntities":2177,"label":2178,"description":2179,"key":912,"publicationTags":2180,"standard":28},[],{"EN":908,"VI":908},{"EN":910,"VI":911},[914,813],[816,917],{"id":919,"indexDatabase":2183,"url":925,"indexYears":926,"academicFieldIds":2188,"indexDatabaseRanking":928},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":2184,"label":2185,"description":2186,"key":792,"publicationTags":2187,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[798],{"impactFactor":32,"impactFactorByYear":2190,"i10Index":128,"i10IndexLast5Year":49,"totalPublication":200,"totalPublicationByYear":2191,"totalCitation":935,"totalCitationByYear":2192,"totalCitationPerPublication":938,"totalCitationPerPublicationByYear":2193,"hindexLast5Year":323,"hindex":323},{"2016":123,"2017":40,"2018":931,"2019":235,"2020":932,"2021":933,"2022":45,"2023":579},{"2015":123,"2016":46,"2017":205,"2018":45,"2019":46,"2020":48,"2021":40,"2022":46},{"2015":141,"2016":278,"2017":937,"2018":522,"2019":522,"2020":155,"2021":42,"2022":133},{"2015":940,"2016":941,"2017":942,"2018":943,"2019":944,"2020":945,"2021":42,"2022":946},{"pages":2195,"volume":2197},{"VOID":2196},"1-37",{"VOID":1397},"2022-01-29",[914,928],{"id":2201,"createTime":2202,"updateTime":2202,"relativeEntities":2203,"slug":28,"properties":2204,"entityType":966,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":2213,"fullTextUrl":28,"authors":2214,"publicationType":1050,"publisherRelationship":2336,"citationCount":28,"citationInfo":28,"publishDate":2382,"publishYear":1099,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":2383,"openAccess":28,"references":28,"isForceReanalyzing":1101},"0e3cfb34-bc83-485c-bcaa-5efaf8b7d39f","2024-01-20T03:59:32.887+00:00",[],{"abstract":2205,"title":2207,"references":2209,"doi":2211},{"EN":2206},"The production of shale gas varies greatly in different regions due to the way gas has accumulated and preserved. This work investigates the dynamic evolution of shale gas generation, accumulation, adjustment, and loss from the Longmaxi formation (S1l) in the Changning area, southern Sichuan Basin, China. The factors controlling the preservation conditions and formation mechanism of the overpressure shale gas reservoir are also studied. The results show that shale gas generation reached its peak during the Middle Jurassic to Early Cretaceous. Furthermore, the gas occurs mainly in organic matter pores of nanometer size, clay mineral pores of nano- to micro-meter size, and microfractures of micrometer size. Then, in the Early Cretaceous, the reservoir was damaged due to uplift of the crust. Additionally, the evaluation scheme of the shale gas reservoirs is established according to the organic geochemical parameters, mineralogical composition, sealing capacity, thickness, burial depth, faults, pressure coefficient, and gas content, etc. Hence, the shale gas reservoirs may be divided into four grades, with Class I being the grade with best gas preservation and Non-economic grade with the worst gas preservation. The annular region in the Jianwu–Luochang synclines and the northeast limb of the Changning anticline have optimum preservation conditions, with a grade of Class I. The preservation conditions gradually deteriorate towards the two limbs, with Class II, Class III, and Non-economic area grades. The good preservation conditions correspond to a high pressure coefficient, and the pressure of the reservoir is mainly caused by hydrocarbon generation pressurization of organic matter (mainly the stage of oil cracking gas and dry gas), tectonic uplift pressurization, and to a minor extent, transformation dehydration pressurization of clay minerals. Furthermore, overpressure preservation is controlled by microporous overpressure, source rock–caprock vertical sealing ability, the spatial distribution of S1l, and development characteristics of faults. Results from this investigation provide specific guidance for shale gas exploitation in the study area, and provide a reference for the evaluation of preservation conditions in shale gas reservoirs and formation mechanism of overpressure gas reservoirs.",{"EN":2208},"Preservation conditions and potential evaluation of the Longmaxi shale gas reservoir in the Changning area, southern Sichuan Basin",{"VOID":2210},"Ahmad F, Quasim MA, Ahmad AHM (2021) Microfacies and diagenetic overprints in the limestones of middle Jurassic Fort Member (Jaisalmer formation), Western Rajasthan, India: implications for the depositional environment, cyclicity, and reservoir quality. Geol J 56(1):130–151. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fgj.3945\nAkrout D, Ahmadi R, Mercier E et al (2021) Present-day overpressure in southern Tunisia: characterization, possible causes and implications for drilling operations. J Afr Earth Sci 184:104356. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jafrearsci.2021.104356\nAudet DM (1995) Mathematical modelling of gravitational compaction and clay dehydration in thick sediment layers. Geophys J Int 122(1):283–298. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1365-246X.1995.tb03554.x\nChen J (2014) Shale gas preservation conditions in South Anhui of lower Yangtze area. advanced materials research. Trans Tech Publ Ltd 998:1458–1461. https:\u002F\u002Fdoi.org\u002F10.4028\u002Fwww.scientific.net\u002FAMR.998-999.1458\nChen C (2018) Research on paleoceanography, paleoclimate and formation mechanism of source rock during geologic transition period from late Ordovician to early Silurian in Southern Sichuan province—Northern Guizhou province, South China. China University of Geosciences, Wuhan\nChen J, Yang S, Li H, Zhang B, Lv J (2013) Research on geographical environment unit division based on the method of natural breaks (Jenks). 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copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints by applying the principle of maximum entropy. With the flexibility to model nonlinear dependence structure, parametric copulas (e.g., Archimedean, extreme value, meta-elliptical, etc.) have been applied to multivariate modeling in water engineering. This study evaluates the copula–entropy theory using a sample dataset with known population information and a flood dataset from the experimental watershed at the Walnut Gulch, Arizona. The study finds the following: (1) both univariate and joint distributions can be derived using the entropy theory. (2) The parametric copula fits the true copula better using empirical marginals than using fitted parametric\u002Fentropy-based marginals. This suggests that marginals and copula may be identified separately in which the copula is investigated with empirical marginals. (3) For a given set of constraints, the most entropic canonical copula (MECC) is unique and independent of the marginals. This allows the universal solution for the proposed analysis. (4) The MECC successfully models the joint distribution of bivariate random variables. (5) Using the “AND” case return period analysis as an example, the derived MECC captures the change of return period resulting from different marginals.",{"EN":2392},"Copula–entropy theory for multivariate stochastic modeling in water engineering",{"VOID":2394},"Aas K, Czado C, Frigessi A, Bakken H (2007) Pair-copula constructions of multiple dependence. Insur Math Econ. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.insmatheco.2007.02.001\nAghakouchak A (2014) Entropy–copula in hydrology and climatology. J Hydrometeorol 15:2176–2189. https:\u002F\u002Fdoi.org\u002F10.1175\u002Fjhm-d-13-0207.1\nArya FK, Zhang L (2017) Copula-based Markov process for forecasting and analyzing risk of water quality time series. J Hydrol Eng 22(6):04017005. https:\u002F\u002Fdoi.org\u002F10.1061\u002F(asce)he.1943-5584.00001494\nChen L, Singh VP, Guo S (2013) Measure of correlation between river flows using entropy–copula theory. J Hydrol Eng 18(12):1591–1608. https:\u002F\u002Fdoi.org\u002F10.1061\u002F(asce)he.1943-5584.0000714\nChu B (2011) Recovering copulas from limited information and an application to asset allocation. J Bank Finance 35:1824–1842. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jbankfin.2010.12.011\nCobb L, Koppstein P, Chen NH (1983) Estimation and moment recursion relations for multimodal distributions of the exponential family. J Am Stat Assoc 78:124–130\nFalk M, Reiss R-D (2005) On pickands coordinates in arbitrary dimensions. J Multivar Anal 92:426–453\nFang HB, Fang KT, Kotz S (2002) The meta-elliptical distributions with given marginals. J Multivar Anal 82:1–16\nGenest C, Favre A-C, Béliveau J, Jacques C (2007) Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data. Water Resour Res 43:W09401. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2006wr005275\nGenest C, Remillard B, Beaudoin D (2009) Goodness-of-fit tests for copulas: a review and a power study. Insur Math Econ 44(2):199–213. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.insmatheco.2007.10.005\nGudendorf G, Segers J (2009) Extreme-value copulas. arXiv:0911.1015v2\nHao Z, Singh VP (2012) Entropy–copula method for single-site monthly streamflow simulation. Water Resour Res 48:W06604. https:\u002F\u002Fdoi.org\u002F10.1029\u002Fwr011419\nJaynes ET (1957) Information theory and statistical mechanics. Phys Rev 106:620–630\nJoe H (2014) Dependence modeling with copulas. CRC Press, Boca Raton\nKullback S, Leibler RA (1951) On information and sufficiency. Ann Math Stat 22:79–86\nNelsen RB (2006) An introduction to copulas, 2nd edn. Springer Science + Business Media, Inc., Berlin\nPham MT, Vernieuwe H, Baets BD, Willems P, Verhoest NEC (2016) Stochastic simulation of precipitation-consistent daily reference evapotranspiration using vine copulas. Stoch Environ Res Risk Assess 30:2197–2214. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00477-015-1181-7\nPickands J (1981) Multivariate extreme value distribution. Bull Int Stat Inst 49:859–878\nRenyi A (1951) On measure of entropy and information. In: Proceedings, 4th Berkeley symposium, mathematics, statistics, and probability, Berkeley, California, pp 547–561\nRequena AI, Chebana F, Mediero L (2016a) A complete procedure for multivariate index-flood model application. J Hydrol 535:559–580. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jhydrol.2016.02.004\nRequena AI, Flores I, Mediero L, Garrote L (2016b) Extension of observed flood series by combining a distributed hydro-meteorological model and a copula-based model. Stoch Environ Res Risk Assess 30:1363–1378. https:\u002F\u002Fdoi.org\u002F10.1007\u002F200477-015-1138-x\nSalvadori G, Michele CD (2015) Multivariate real-time assessment of droughts via copula-based multi-site hazard trajectories and fans. J Hydrol 526:101–115. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jhydrol.2014.11.056\nShannon CE (1948) A mathematical theory of communication. Bell Syst Technol J 27:379–423\nSingh VP (1998) Entropy-based parameter estimation in hydrology. Springer, Dordrecht\nSingh VP, Rajagopal AK (1986) A new method of parameter estimation for hydrologic frequency analysis. Hydrol Sci Technol 2(3):33–40\nSklar M (1959) Fonctions de repartition an dimensions et leurs marges. Universite Paris, Paris, p 8\nSong S, Singh VP (2010) Meta-elliptical copulas for drought frequency analysis of periodic hydrologic data. Stoch Environ Res Risk Assess 24(3):425–444. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00477-009-0331-1\nSraj M, Bezak N, Brilly M (2015) Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River. Hydrol Process 29:225–238. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fhyp.10145\nTsallis C (1988) Possible generalizations of Boltzmann–Gibbs statistics. J Stat Phys 52(1\u002F2):479–487\nVerneiuwe H, Vandenberghe S, Baets BD, Verhoest NEC (2015) A continuous rainfall model based on vine copulas. Hydrol Earth Syst Sci 19:2685–2699. https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-19-2685-2015\nZellner A, Highfield RA (1988) Calculation of maximum entropy distribution and approximation of marginal posterior distributions. J Econom 37:95–209\nZhang L, Singh VP (2012) Bivariate rainfall and runoff analysis using entropy and copula theories. Entropy 14:1784–1812. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fe14091784\nZhang L, Singh VP (2014) Joint conditional probability distributions of runoff depth and peak discharge using entropy theory. 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