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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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the operation of landfills, leachate recirculation and aeration are widely applied to accelerate the waste stabilization process. However, these strategies may induce high pore pressures in waste, thereby affecting the stability of the landfill slope. Therefore, a three-dimensional numerical analysis for landfill slope stability during leachate recirculation and aeration is performed in this study using strength reduction method. The bio-hydro coupled processes of waste are simulated by a previously reported landfill coupled model programmed on the open-source platform OpenFOAM and then incorporated into the slope stability analysis. The results show that both increasing the injection pressure for leachate recirculation and maximum anaerobic biodegradation rate will reduce the factor of safety (FS) of the landfill slope maximally by 0.32 and 0.62, respectively, due to increased pore pressures. The ignorance of both waste biodegradation and gas flow will overestimate the slope stability of an anaerobic bioreactor landfill by about 20–50%, especially when the landfilled waste is easily degradable. The FS value of an aerobic bioreactor landfill slope will show a significant reduction (maximally by 53% in this study) when the aeration pressure exceeds a critical value and this value is termed as the safe aeration pressure. This study then proposes a relationship between the safe aeration pressure and the location of the air injection screen (i.e., the horizontal distance between the top of the injection screen and the slope surface) to avoid landfill slope failure during aeration. The findings of this study can provide insights for engineers to have a better understanding of the slope stability of a bioreactor landfill and to design and control the leachate recirculation and aeration systems in landfills.",{"EN":981},"Slope stability analysis of a landfill subjected to leachate recirculation and aeration considering bio-hydro coupled processes",{"VOID":983},"Beaven R, White J, Braithwaite P (2008) Application of the University of Southampton Landfill Degradation and Transport Model (LDAT) to an aerobic treatment field experiment. Global Waste Management symposium, Colorado\nByun B, Kim I, Kim G, Eun J, Lee J (2019) Stability of bioreactor landfills with leachate injection configuration and landfill material condition. Comput Geotech 108:234–243\nCao BY, Feng SJ, Li AZ (2018) CFD modeling of anaerobic-aerobic hybrid bioreactor landfills. Int J Geomech 18:04018072.1–04018072.10\nClausen J, Damkilde L, Andersen L (2007) An efficient return algorithm for non-associated plasticity with linear yield criteria in principal stress space. Comput Struct 85:1795–1807\nDawson EM, Roth WH, Drescher A (1999) Slope stability analysis by strength reduction. Géotechnique 49:835–840\nEl-Fadel M, Findikakis AN, Leckie JO (1996) Numerical modelling of generation and transport of gas and heat in landfills I. Model formulation. Waste Manag Res 14:483–504\nFeng SJ, Chen ZW, Chen HX, Zheng QT, Liu R (2018) Slope stability of landfills considering leachate recirculation using vertical wells. Eng Geol 241:76–85\nFeng SJ, Li AZ, Zheng QT, Cao BY, Chen HX (2019) Numerical model of aerobic bioreactor landfill considering aerobic-anaerobic condition and bio-stable zone development. Environ Sci Pollut Res 26:15229–15247\nFeng SJ, Chen ZW, Zheng QT (2020) Effect of LCRS clogging on leachate recirculation and landfill slope stability. Environ Sci Pollut Res 27:6649–6658\nFeng SJ, Chang JY, Zhang XL, Shi H, Wu SJ (2021a) Stability analysis and control measures of a sanitary landfill with high leachate level. J Geotech Geoenviron Eng 147(10): 05021009\nFeng SJ, Wu SJ, Zheng QT (2021b) Design method of a modified layered aerobic waste landfill divided by coarse material. Environ Sci Pollut Res 28:2182–2197\nFytanidis DK, Voudrias EA (2014) Numerical simulation of landfill aeration using computational fluid dynamics. Waste Manag 34:804–816\nGriffiths DV, Lane PA (1999) Slope stability analysis by finite elements. Géotechnique 49:387–403\nKhoei AR, Mohammadnejad T (2011) Numerical modeling of multiphase fluid flow in deforming porous media: a comparison between two- and three-phase models for seismic analysis of earth and rockfill dams. Comput Geotech 38:142–166\nKim S-Y, Tojo Y, Matsuto T (2007) Compartment model of aerobic and anaerobic biodegradation in a municipal solid waste landfill. Waste Manag Res 25:524–537\nKoerner RM, Soong TY (2000) Leachate in landfills: the stability issues. Geotext Geomembr 18:293–309\nLavigne F, Wassmer P, Gomez C, Davies TA, Sri Hadmoko D, Iskandarsyah TYWM, Gaillard JC, Fort M, Texier P, Boun Heng M, Pratomo I (2014) The 21 February 2005, catastrophic waste avalanche at Leuwigajah dumpsite, Bandung, Indonesia. Geoenviron Disasters 1:10\nLu SF, Feng SJ (2020) Comprehensive overview of numerical modeling of coupled landfill processes. Waste Manag 118:161–179\nLu SF, Xiong JH, Feng SJ, Chen HX, Bai ZB, Fu WD, Lü F (2019) A finite-volume numerical model for bio-hydro-mechanical behaviors of municipal solid waste in landfills. Comput Geotechn 109:204–219\nLu SF, Feng SJ, Zheng QT, Bai ZB (2020) A multi-phase, multi-component model for coupled processes in anaerobic landfills: theory, implementation and validation. Géotechnique 71:826–842\nMa J, Liu L, Yu X, Fei XC, Zhang X, Zeng G, Bi YZ (2020) Simulation of gas concentration during the process of air injection and Extraction in a Landfill. Environm Prog Sustain Energy 39:e13406\nMeima JA, Naranjo NM, Haarstrick A (2008) Sensitivity analysis and literature review of parameters controlling local biodegradation processes in municipal solid waste landfills. Waste Manag 28:904–918\nMillington RJ, Quirk JP (1961) Permeability of porous solids. Trans Faraday Soc 5:1200–1207\nMualem Y (1976) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12:513–522\nOmar H, Rohani S (2017) The mathematical model of the conversion of a landfill operation from anaerobic to aerobic. Appl Math Model 50:53–67\nÖncü G, Reiser M, Kranert M (2012) Aerobic in situ stabilization of Landfill Konstanz Dorfweiher: leachate quality after 1year of operation. Waste Manage 32:2374–2384\nRaga R, Cossu R (2014) Landfill aeration in the framework of a reclamation project in Northern Italy. Waste Manag 34:683–691\nRitzkowski M, Stegmann R (2012) Landfill aeration worldwide: concepts, indications and findings. Waste Manag 32:1411–1419\nRitzkowski M, WalkeR B, Kuchta K, Raga R, Stegmann R (2016) Aeration of the teuftal landfill: field scale concept and lab scale simulation. Waste Manag 55:99–107\nStegmann R (2019) Development of waste management in the last 30 years. In: Zhan L, Chen Y, Bouazza A (eds) Proceedings of the 8th international congress on environmental geotechnics volume 1. Springer Singapore, Singapore, pp 172–185\nStoltz G, Tinet AJ, Staub MJ, Oxarango L, Gourc JP (2012) Moisture retention properties of municipal solid waste in relation to compression. J Geotech Geoenviron Eng 138:535–543\nTang T, Hededal O, Cardiff P (2015) On finite volume method implementation of poro-elasto-plasticity soil model. Int J Numer Anal Methods Geomech 39:1410–1430\nTchobanoglous G, Eliassen R, Theisen H (1993) Integrated solid waste management: engineering principles and management issues. New York (N.Y.): McGraw-Hill International Editions\nTownsend TG, Powell J, Jain P, Xu QY, Tolaymat T, Reinhart D (2015) Landfill air addition, sustainable practices for landfill design and operation, pp 313–343\nvan Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898\nWeller HG, Tabor G (1998) A tensorial approach to computational continuum mechanics using object-oriented techniques. Comput Phys 12:620–631\nXu QY, Tolaymat T, Townsend TG (2012) Impact of pressurized liquids addition on landfill slope stability. J Geotech Geoenviron Eng 138:472–480\nYuan W, Li J, Li Z, Wang W, Sun X (2020) A strength reduction method based on the Generalized Hoek–Brown (GHB) criterion for rock slope stability analysis. Comput Geotech 117:103240",{"VOID":985},"10.1186\u002Fs40677-021-00201-2","PUBLICATION","Auto Verify","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-021-00201-2",[990,1015,1028,1041,1054],{"id":991,"sortIndex":32,"researcher":28,"roles":992,"affiliations":994,"properties":1012,"displayName":1014,"givenName":28,"familyName":28},"2e176c53-0d19-4f1b-9475-f92722deb134",[993],"AUTHOR",[995,1003],{"id":996,"sortIndex":32,"affiliation":997,"properties":28},"9ae51a23-378e-44d0-8237-a67d6792ee52",{"id":996,"createTime":28,"updateTime":28,"relativeEntities":998,"slug":28,"properties":999,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1002,"statistic":28},[],{"title":1000},{"VI":1001},"Department of Geotechnical Engineering, Tongji University, Shanghai, 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of landslides were triggered by the Hokkaido Eastern Iburi earthquake on 6 September 2018 in Iburi regions of Hokkaido, Northern Japan. Most of the landslides (5627 points) occurred intensively between the epicenter and the station that recorded the highest peak ground acceleration. Hundreds of aftershocks followed the major shocks. Moreover, in Iburi region, there is a high possibility of earthquakes occurring in the future. Effective prediction and susceptibility assessment methods are required for sustainable management and disaster mitigation in the study area. The aim of this study is to evaluate the performance of an autoencoder framework based on deep neural network for prediction and susceptibility assessment of regional landslides triggered by earthquakes. By applying 12 sampling sizes and 12 landslide-influencing factors, 12 landslide susceptibility maps were produced using an autoencoder framework. The results of the model were evaluated using qualitative and quantitative assessment methods. The ratios of the sampling sizes on the non-landslide points randomly generated from the combination zone including plain and mountain (PM) and a mountainous only zone (M) affected different prediction abilities of the model’s performance. The 12 susceptibility maps, including the landslide susceptibility index, indicated the various spatial distributions of the landslide susceptibility values in both PM and the M. The highly accurate models explicitly distinguished the potential areas of landslide from stable areas without expanding the spatial extent of the potential landslide areas. The autoencoder is proved to be an effective and efficient method for extracting spatial patterns through unsupervised learning for the prediction and susceptibility assessment of landslide areas.",{"EN":1149},"The performance of using an autoencoder for prediction and susceptibility assessment of landslides: A case study on landslides triggered by the 2018 Hokkaido Eastern Iburi earthquake in Japan",{"VOID":1151},"Aditian A, Kubota T, Shinohara Y (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology 318:101–111\nAlessandro T, Carla I, Carlo E, Gabriele SM (2015) Comparison of logistic regression and random forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy). Geomorphology 249:119–136\nAlthuwaynee OF, Pradhan B, Lee S (2016) A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison. Int J Remote Sens 37(5):1190–1209\nArnone E, Francipane A, Scarbaci A, Puglisi C, Noto LV (2016) Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping. Environ Model Softw 84:467–481\nAyalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65:15–31\nBai S, Wang J, Lü G, Zhou P, Hou S, Xu S (2010) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the three gorges area, China. Geomorphology 115:23–31\nBallabio C, Sterlacchini S (2012) Support vector machines for landslide susceptibility mapping: the Staffora River Basin case study, Italy. Math Geosci 44(1):47–70\nCharte D, Charte F, García S, Jesus MJ, Herrera F (2018) A practical tutorial on autoencoders for nonlinear feature fusion: taxonomy, models, software and guidelines. Inf Fusion 44:78–96\nChen H, Zeng Z, Tang H (2015) Landslide deformation prediction based on recurrent neural network. Neural Process Lett 41(2):169–178\nChen W, Panahi M, Tsangaratos P, Shahabi H, Ilia I, Panahi S, Li S, Jaafari A, Ahmadg BB (2019) Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility. Catena 172:212–231\nColkesen I, Sahin EK, Kavzoglu T (2016) Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression. J Afr Earth Sci 118:53–64\nDagdelenler G, Nefeslioglu HA, Gokceoglu C (2016) Modification of seed cell sampling strategy for landslide susceptibility mapping: an application from the eastern part of the Gallipoli peninsula (Canakkale, Turkey). 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recent years, many landslides have occurred in Vietnam, particularly in the Northern mountainous region during the rainy season from May to October. On the morning of October 12, 2017, the Khanh waterfall landslide in Khanh Village, Hoa Binh Province, Northern Vietnam occurred. The landslide killed eighteen people and destroyed five houses. Topographical and geological surveys were conducted around the area to determine its causes. The rainfall data and flow discharge were also analyzed. The results showed that this collapse was different from some previous ones collapsed due to the erosion at the toe of the slope. Khanh waterfall landslide occurred due to the increasing amount of water in cracks and caves in the limestone layer in the slope. The collapse process was simulated based on Coulomb mixture theory. The numerical simulation results show similarities with the actual collapse process. The results provide indicators for assessing the risk of such limestone waterfall landslides in the future.",{"EN":1259},"Torrent rainfall-induced large-scale karst limestone slope collapse at Khanh waterfall, Hoa Binh Province, Vietnam",{"VOID":1261},"Bui DT, Pradhan B, Lofman O, Revhaug I, Dick OB (2013) Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province. Vietnam Nat Hazards 66:707–730. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11069-012-0510-0\nBui DT, Tuan TA, Hoang ND, Thanh NQ, Nguyen DB, Liem NV, Pradhan B (2017) Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization. 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J Jpn Landslide Soc 41(1), pp 9–17 (in Japanese with English abstract) https:\u002F\u002Fdoi.org\u002F10.3313\u002Fjls.41.9",{"VOID":1263},"10.1186\u002Fs40677-022-00206-5","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-022-00206-5",[1266,1290,1305,1320,1333,1348,1361],{"id":1267,"sortIndex":32,"researcher":28,"roles":1268,"affiliations":1269,"properties":1287,"displayName":1289,"givenName":28,"familyName":28},"41b068ff-062d-4d27-b8b3-701a299a49b6",[993],[1270,1278],{"id":1271,"sortIndex":32,"affiliation":1272,"properties":28},"47bcc9ee-1bcc-46ed-9b6a-abb67b24e51f",{"id":1271,"createTime":28,"updateTime":28,"relativeEntities":1273,"slug":28,"properties":1274,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1277,"statistic":28},[],{"title":1275},{"VI":1276},"Civil Management and Engineering Major, Environmental and Social System Science Course, Integrated Graduate School of Medicine, Engineering, and Agricultural Sciences, University of Yamanashi, Yamanashi, Japan",[],{"id":1279,"sortIndex":40,"affiliation":1280,"properties":1286},"20ab99c2-e1d3-4fec-9366-80def4d98fc5",{"id":1279,"createTime":28,"updateTime":28,"relativeEntities":1281,"slug":28,"properties":1282,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1285,"statistic":28},[],{"title":1283},{"EN":1284},"Institute of Transport Science and Technology, Hanoi, Vietnam",[],{},{"title":1288},{"VI":1289},"Ngoc Ha 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construction for landslide factors (slope, aspect, profile curvature, plan curvature, lithology, land use, distance from lineament & distance from river) and landslide inventory map is an important step in landslide susceptibility modelling. Using the frequency ratio model, the weights for each factor classes were calculated and assigned in GIS so as to add these factors and produce landslide susceptibility index maps based on mathematical combination theory. However, before combining them, their independence among each other should be ascertained. For this, the correlation matrix of logistic regression was applied and this showed that most of the correlations between factors were either absent or very insignificant suggesting that all landslide factors are independent. From a set of eight landslide factors, a total of 247 landslide susceptibility map combinations can be generated. However, for simplification, only 28 landslide susceptibility maps were chosen. Then the best landslide susceptibility map was selected based on high prediction accuracy. But, when there is similarity in the prediction accuracies of different combinations, the landslide susceptibility index difference values can be used as another selection criterion. Hence, the susceptibility map from a combination of all landslide factors except distance from river  was found to be the best one. Among the 28 representative combinations, landslide susceptibility maps with the same prediction accuracy of 87.7% have been found in spite of their dissimilarity in their difference values. The combination, with a limited number of landslide factors and the highest prediction accuracy of 87.7%, was found from a combination of slope, lithology, land use and distance from lineament. In order to validate the prediction model, landslides were overlaid over the landslide susceptibility map and the number of  landslides that fall into each susceptibility class was calculated. From this analysis 0.39%, 1.84%, 9.1%, 32.04% and 56.63% of the landslides fall in the very low, low, medium, high and very high landslide susceptibility classes respectively. Since 88.67% of the landslides fall in the high and very high susceptibility classes, the landslide susceptibility map can be considered reliable to predict future landslides.",{"EN":1451},"Effect of Landslide Factor Combinations on the Prediction Accuracy of Landslide Susceptibility Maps in the Blue Nile Gorge of Central Ethiopia",{"VOID":1453},"Asfaw YE (2010) Landslide assessment in the Blue Nile Gorge. University Ghent, Master Thesis, September, Central Ethiopia, 2010\nAyalew L (1999) The effect of seasonal rainfall on landslides in the highlands of Ethiopia. Bull Eng Geol Env 58:9–19, 7 Q Springer-Verlag\nAyalew L, Yamagishi H (2004) Slope failures in the Blue Nile basin, as seen from landscape evolution perspective. Geomorphology 57(2004):95–116\nBui DT, Pradhan B, Lofman O, Revhaug I, Dick OB (2012) Landslide Susceptibility Assessment at Hoa Binh Province of Vietnam Using Frequency Ratio Model. 2012 Asia Pacific Conference on Environmental Science and Technology. Advances in Biomedical Engineering 6:476\nCarson MA, Kirkby MJ (1972) Hillslope Form and Process. Cambridge University Press, London, 475 pp\nChi KH, Park NW, Chang CJ (2002) Fuzzylogic integration for landslide hazard mapping using spatial data from Boeun, Korea. Symposium on Geospatial Theory, processing and applications, Ottawa\nChung CJF, Fabbri AG (2003) Validation of Spatial Prediction Models for Landslide Hazard Mapping. Nat Hazards 30(451–472):2003\nClerici A, Perego S, Tellini C, Vescovi P (2006) A GIS-based automated procedure for landslide susceptibility mapping by the Conditional Analysis method: the Baganza valley case study (Italian Northern Apennines). Environ Geol 50:941–961, doi:10.1007\u002Fs00254-006-0264-7\nDahal RK, Hasegawa S, Nonomura A, Yamanaka M, Dhakal S, Paudyal P (2008) Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya ofNepal based on weights-of-evidence. Geomorphology 102:496–510\nErcanoglu M, Gokceoglu C (2002) Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach. Environ Geol 41:720–730, doi:10.1007\u002Fs00254-001-0454-2\nFarrokhnia A, Pirasteh S, Pradhan B, Pourkermani M and Arian M (2010) A recent scenario of mass wasting and its impact on the transportation on Albroz mountains, Iran using geo-information technology. Arab J Geosci. doi:10.1007\u002Fs 12517-010-0238-7\nFell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102(2008):85–98\nGodt JW, Baum RL, Savage WZ, Salciarini D, Schulz WH, Harp EL (2008) Transient deterministic shallow landslide modeling, Requirements for susceptibility and hazard assessments in a GIS framework. Eng Geol 102:214–226\nHack JT, Goodlett JC (1960) Geomorphology and forest ecology of a mountain region in the central Appalachians. United States Geological Survey, Professional Paper 347:66\nIUGS (1997) Quantitative risk assessment for slopes and landslides- the state of the art. In: Cruden D, Fell R (eds) Landslide risk assessment. Balkema, Rotterdam, pp 3–12\nLee S, Pradhan B (2007) Landslide Hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression model. Landslides 4:33–41, doi:10.1007\u002Fs10346-006-0047-y\nLee S, Sambath T (2006) Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50:847–855, doi:10.1007\u002Fs00254-006-0256-7\nLee S, Talib JA (2005) Probabilistic landslide susceptibility and factor effect analysis. Environ Geol 47:982–990, doi:10.1007\u002Fs00254-005-1228-z\nLee S, Choi J, Woo I (2004) The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea. Geosci J 8(No. 1):51–60\nLee S, Ryu JH, Kim LS (2007) Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea. Landslides 4:327–338, doi:10.1007\u002Fs10346-007-0088-x\nOhlamacher GC (2007) Plan curvature and landslide probability in regions dominated by earth flows and earth slides. Eng Geol 91(2007):117–134\nPirasteh S, Woodbridge K, Rizvis SMA (2009) Geo-information technology (GiT) and tectonic signatures: the River Karun and Dez, Zagros Orogen in south-west Iran. Int J Remote Sens 30(No. 2):389–403\nPradhan B (2010a) Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multiple logistic regression approaches. J Indian Soc Remote Sens 38:301–320, Springer\nPradhan B (2011) Manifestations of an advanced fuzzy logic model coupled with Geo-information techniques to landlside susceptibility mapping and their comparison. Environ Ecol Stat. 18-471-493 doi:10. 1007\u002Fs10651-010-0147-7.\nPradhan B, Mansor S, Pirasteh S, Buchroithner MF (2011) Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model. Int J Remote Sens 32(No. 14):4075–4087\nRegmi NR, Giardino JR, Vitek JD (2010a) Modeling susceptibility to landslides using the weights of evidence approach: Western Colorado, USA. Geomorphology 115:172–187\nReneau SL, Dietrich WE (1987) The importance of hollows in debris flow studies; examples from Marin County, California. In: Costa, J.E., Wieczorek, G.F. (Eds.), Debris Flows\u002FAvalanches: Process, Recognition, and Mitigation. Geological Society of America, Boulder, Colorado. Rev Eng Geol VII:165–180\nRuff M, Czurda K (2008) Landslide susceptibility analysis with a heuristic approach in the Eastern Alps (Vorarlberg, Austria). Geomorphology 94(2008):314–324\nTemesgen B, Mohammed U, Korme T (2001) Natural Hazard Assessment Using GIS and Remote Sensing Methods, with Particular Reference to the Landslides in the Wondogenet Area, Ethiopia, Pergamon. Phys Chem Earth 26(No. 9):665–e\nTerlien MTJ (1998) The determination of statistical and deterministic hydrological landslide-triggering thresholds. Environ Geol 35(2–3):124–130\nTerlien MTJ, Van Westen CJ, Van Asch TWJ (1995) Deterministic modelling in GIS based landslide hazard assessment. In: Carrara A, Guzzetti F (eds) Geographical Information System in Assessing Natural Hazard. Kluwer Academic Publishers, Dordrecht pp 57–77\nVan Westen CJ, Rengers N, Soeters R (2003) Use of geomorphological information inindirect landslide susceptibility assessment. Nat Hazards 30:399–419\nWoldearegay K (2008) Characteristics of large-scale landslide triggered by heavy rainfall in Tarmaber area, Central Highlands of Ethiopia. Geophysical Research 10: , EGU2008-A-04506,2008, SRef – ID:1607-7962\u002Fgra\u002FEGU2008-A-04506 EGU General Assembly 2008",{"VOID":1455},"10.1186\u002Fs40677-015-0016-7","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-015-0016-7",[1458,1473,1486],{"id":1459,"sortIndex":32,"researcher":28,"roles":1460,"affiliations":1461,"properties":1470,"displayName":1472,"givenName":28,"familyName":28},"9684039e-84d2-4ef5-a51a-54913b9fe661",[993],[1462],{"id":1463,"sortIndex":32,"affiliation":1464,"properties":28},"528b2572-f9f1-4aef-883e-ad476d7a8395",{"id":1463,"createTime":28,"updateTime":28,"relativeEntities":1465,"slug":28,"properties":1466,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1469,"statistic":28},[],{"title":1467},{"VI":1468},"Geo-Disaster Research Laboratory, Graduate School of Science and Engineering, Ehime University, Matsuyama, 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current research investigates into the application of various thunderstorm indices to predict severe thunderstorm occurrences during the monsoon season across four distinct regions in India. Methods: The study assesses the prediction model’s efficacy using various skill scores and the Weather Research and Forecasting (WRF) model has been integrated for 30 h with double moment microphysics scheme NSSL-17 which accurately reproduces vertical and meteorological measures. Furthermore, it investigates fifteen thunderstorm indices derived from the ERA5 dataset to identify the most effective index for forecasting severe thunderstorms. The results indicate that combining thunderstorm indices with skill scores, such as the Heidke Skill Score and True Skill Statistic, enhances the accuracy of severe thunderstorm predictions in the Indian monsoon season. The accurate predictions rely on determining optimal thresholds for each index. The study emphasizes the importance of using multiple indices rather relying solely on single measure for predicting severe thunderstorms. Advanced indices like the Energy Helicity Index (EHI) and Supercell Composite Parameter (SCP) perform well in forecasting extreme severe thunderstorms\ndue to their strong reliance on wind shears. The EHI (> 1), and SCP (≥ 3.5), STP (≥ 1.2) along with low SRH at 3 km (100 m2\u002Fs2), indicated no evidence of helicity or tornado activity during the event. On the other hand, the CAPE, K Index, and VT Index demonstrate robust predictive capabilities for non-severe category thunderstorms. Integrating numerous thunderstorm indices improves meteorologists’ forecasts, ensuring public safety.\nBased on this work, future research can improve severe weather forecasting models’ accuracy and reliability.",{"EN":1573},"Comprehensive study of thunderstorm indices threshold favorable for thunderstorms during monsoon season using WRF–ARW model and ERA5 over India",{"EN":1575},"",{"VOID":1577},"Albrecht RI, Goodman SJ, Buechler DE, Blakeslee RJ, Christian HJ (2016) Where are the lightning hotspots on earth? J Bull Am Meteorol Soc 97(11):2051–2068\nAnquetin S, Yates E, Ducrocq V, Samouillan S, Chancibault K, Davolio S, Accadia C, Casaioli M, Mariani S, Ficca G (2005) The 8 and 9 September 2002 flash flood event in France: a model intercomparison. Nat Hazard 5(5):741–754\nBarthlott C, Corsmeier U, Meißner C, Braun F, Kottmeier C (2006) The influence of mesoscale circulation systems on triggering convective cells over complex terrain. 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In: EGU general assembly conference abstracts",{"VOID":1579},"10.1186\u002Fs40677-023-00262-5","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-023-00262-5",[1582,1597,1610,1623,1636],{"id":1583,"sortIndex":32,"researcher":28,"roles":1584,"affiliations":1585,"properties":1594,"displayName":1596,"givenName":28,"familyName":28},"b9de3b2b-75ba-4f8d-830e-1323a48c3b05",[993],[1586],{"id":1587,"sortIndex":32,"affiliation":1588,"properties":28},"be595614-7567-40d6-8a70-e54a40a94845",{"id":1587,"createTime":28,"updateTime":28,"relativeEntities":1589,"slug":28,"properties":1590,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1593,"statistic":28},[],{"title":1591},{"VI":1592},"Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, District- Ajmer, India",[],{"title":1595},{"VI":1596},"Unashish Mondal",{"id":1598,"sortIndex":40,"researcher":28,"roles":1599,"affiliations":1600,"properties":1607,"displayName":1609,"givenName":28,"familyName":28},"8b48b6a3-7718-43f5-b190-a1ed166c8faa",[993],[1601],{"id":1587,"sortIndex":32,"affiliation":1602,"properties":28},{"id":1587,"createTime":28,"updateTime":28,"relativeEntities":1603,"slug":28,"properties":1604,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1606,"statistic":28},[],{"title":1605},{"VI":1592},[],{"title":1608},{"VI":1609},"Anish Kumar",{"id":1611,"sortIndex":123,"researcher":28,"roles":1612,"affiliations":1613,"properties":1620,"displayName":1622,"givenName":28,"familyName":28},"35ebe95d-59f5-4b26-a3e0-1faa977695c1",[993],[1614],{"id":1587,"sortIndex":32,"affiliation":1615,"properties":28},{"id":1587,"createTime":28,"updateTime":28,"relativeEntities":1616,"slug":28,"properties":1617,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1619,"statistic":28},[],{"title":1618},{"VI":1592},[],{"title":1621},{"VI":1622},"S. 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unraveling of the human-induced climate-change crisis has put to the forth the ability of human-beings to impact the planet as a whole, but the discourse of politics has also emphasized the ability of the human race to adapt and counterweigh the environmental change, in turn increasing the public expectation that one should be able to control nature and its affects. Such cozy and reassured society consequently puts an increasing amount of pressure on hazards assessors, emergency and disaster managers “to get it right”, and not only to save the majority, but to save all. To reach such level of competency, emergency relief teams and disaster managers have to work always faster with an increasing need of high quality, high-resolution geospatial data. This need is being partly resolved with the usage of UAV (Unmanned Autonomous Vehicles), both on the ground and airborne. In this contribution, we present a review of this field of research that has increased exponentially in the last few years. The rapid democratization of the tool has lead to a significant price reduction and consequently a broad scientific usage that have resulted in thousands of scientific contributions over the last decade. The main usages of UAVs are the mapping of land features and their evolution over time, the mapping of hazards and disasters as they happen, the observation of human activity during an emergency or a disaster, the replacement of telecommunication structures impacted by a natural hazards and the transport of material to isolated groups. Those usages are mostly based on the use of single UAVs or UAVs as single agents eventually collaborating. The future is most certainly in the ability to accomplish complex tasks by leveraging the multiple platforms possibilities. As an example, we presented an experiment showing how multiple UAV platforms taking imagery together at the same time could provide true 4D (3D in time) of geo-processes such as river-bed evolution, or rockfalls, etc.",{"EN":1727},"UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review",{"VOID":1729},"Akca, D. 2013. Photogrammetric monitoring of an artificially generated shallow landslide. The Photogrammetric Record 28: 496–501.\nBerariu, R., C. Fikar, M. Gronalt, and P. Hirsch. 2015. Understanding the impact of cascade effects of natural disasters on disaster relief operations. Int. J. Dis. Risk Red. 12: 350–356. http:\u002F\u002Fdx.doi.org\u002F10.1016\u002Fj.ijdrr.2015.03.005.\nBoccardo, P., F. Chiabrando, F. Dutto, F. Giulio Tonolo, and A. Lingua. 2015. UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications. Sensors 15: 15717–15737.\nBupe Jr. P., Haddad, R., Rios-Gutierrez, F. 2015. Relief and Emergency Communication Netowrk Based on an Autonomous Decentralized UAV Clustering Network. Proceedings of the IEEE SoutheastCon\nChoi, K., Lee, I. 2011. A UAV Based Close-range Rapid Aerial Monitoring System for Emergency Response. International Archives of the Photogrammetry, Rem. Sens. Spat. Info. Sc. XXXVIII-1\u002FC22\nClapuyt, F., V. Vanacker, and K. 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IEEE Transaction in Pattern Analysis and Machine Intelligence 32: 1362–1376.\nGillespie, P.G. 2009. Weapons of Choice: The Development of Precision Guided Munitions (2). Tuscaloosa: University of Alabama Press.\nGomez, C., Kato, A. 2014. Multi-scale voxel-based algorithm for UAV-derived point-clouds of complex surfaces. IEEE International ICARES – Aerospace Electornics and Remote Sensing Technology: 205–209.\nGomez, C., Oguchi, T.; Evans, I. 2015(a). Spatial Analysis in Geomorphology (1): Present Directions from Collection to Processing (Editorial). Geomorphology 242: 1–2\nGomez, C., Hayakawa, Y., Obanawa, H. 2015(b). A study of Japanese landscapes using Structure from Motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology. Geomorphology 242: 11–20\nGomez, C., T. Oguchi, and I. Evans. 2016. Quantitative Geomorphology with Geographical Information Systems (GIS) for Evolving Societies and Science (Editorial). Geomorphology 260: 1–3.\nGonzales-Jorge, H., I. Puente, D. Roca, H. Martinez-Sanchez, B. Conde, and P. Arias. 2014. UAV Photogrammetry Application to the Monitoring of Rubble Mound Breakwaters. J. Perform. Constr. Fac. 04014194: 1–8.\nGSJ. 2015. Eruption of the 29 May 2015 at Kuchinoerabujima. Report of the Geological Society of Japan, https:\u002F\u002Fwww.gsj.jp\u002Fhazards\u002Fvolcano\u002Fkazan-bukai\u002Fyochiren\u002Fkuchinoerabu_20150827_1.pdf (in Japanese). Accessed 19 Nov 16.\nHartley, R.I., Wisserman, A. 2004. Multiple View Geometry in Computer Vision. Cambridge: Cambridge University Press.\nHausamann, D., W. Zimig, G. Schreier, and P. Strobl. 2005. Monitoring of gas pipelines – a civil UAV application. Aircr. Eng. Aerosp Tec. 77: 352–360.\nHugenholtz, C.H., K. Whitehead, O.W. Brown, T.E. Barchyn, B.J. Moorman, A. LeClair, K. Riddell, and T. Hamilton. 2013. Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model. Geomorphology 194: 16–24.\nLiu, C.-C., Chen, P.-L., Tomoya, M., Chen, C.-Y. 2015. Rapidly responding to landslides and debris flow events using a low-cost unmanned aerial vehicle. J. Rem. Sens. 9: doi:10.1117\u002F1.JRS.9.096016\nMacKellar, L. 2004. Economic impacts of population ageing in Japan. Edward Elgar Pub\nMarek, L., J. Miřijovský, and P. Tuček. 2015. Monitoring of the Shallow Landslide Using UAV Photogrammetry and Geodetic Measurements. Eng. Geol. Soc. Ter. 2: 113–116.\nMaza, I., F. Caballero, J. Capitan, J.R. Martinez-de-Dios, and A. Ollero. 2011. Experimental Result in Multi-UAV Coordination for Disaster Management and Civil Security Applications. Journal of Intelligent and Robotic Systems 61: 563–585.\nMerdaway, A., Guvenc, I. 2015. UAV Assisted Heterogeneous Networks for Public Safety communications. IEEE Wireless Communications and Networking Conference Workshop – 2nd International Workshop on Device to Device and Public Safety Communications: 1–6.\nMeyer, D., M. Hess, C. Lo, C.E. Wittich, T.C. Hutchinson, and F. Kuester. 2015. UAV-based Post Disaster Assessment of Cultural Heritage Sites Following the 2014 South Napa Earthquake. IEEE Digital Heirtage 2: 421–424. doi:10.1109\u002FDigitalHeritage.2015.7419539.\nMitsuhito, H., Yong, Y., Zuo, Z., Kamat, V.R., Zekkos, D., Lynch, J. 2015. Implementation of UAV localization methods for a mobile post-earthquake monitoring system. IEEE EESMS: 66–71. Doi: 10.1109\u002FEESMS.2015.7175854\nMori, T., Hashimoto, T., Terada, A., Yoshimoto, M., Kazahaya, R., Shinohara, H., Tanaka, R. 2016. Volcanic plume measurements using a UAV for the 2014 Mt. Ontake Eruption. Earth Planets Space: 68–49. DOI: DOI 10.1186\u002Fs40623-016-0418-0\nNakano, T., I. Kamiya, M. Tobita, J. 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DOI: 10.1109\u002FSSRR.2014.7017680.",{"VOID":1731},"10.1186\u002Fs40677-016-0060-y","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-016-0060-y",[1734,1758],{"id":1735,"sortIndex":32,"researcher":28,"roles":1736,"affiliations":1737,"properties":1755,"displayName":1757,"givenName":28,"familyName":28},"dc337332-16df-49f1-a356-bf0bcc2901d3",[993],[1738,1746],{"id":1739,"sortIndex":32,"affiliation":1740,"properties":28},"c13f96f4-2588-4116-8964-7cf30afa0731",{"id":1739,"createTime":28,"updateTime":28,"relativeEntities":1741,"slug":28,"properties":1742,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1745,"statistic":28},[],{"title":1743},{"VI":1744},"Department of Geography, University of Canterbury, Christchurch, New Zealand",[],{"id":1747,"sortIndex":40,"affiliation":1748,"properties":1754},"531b1e3a-1c40-4fb9-a7b1-c47a422af825",{"id":1747,"createTime":28,"updateTime":28,"relativeEntities":1749,"slug":28,"properties":1750,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1753,"statistic":28},[],{"title":1751},{"VI":1752},"Kobe University, Faculty of Maritime Sciences, Kobe, Japan",[],{},{"title":1756},{"VI":1757},"Christopher Gomez",{"id":1759,"sortIndex":40,"researcher":28,"roles":1760,"affiliations":1761,"properties":1768,"displayName":1770,"givenName":28,"familyName":28},"616fb2a1-cbcc-40ad-a9c8-1550b07a7c84",[993],[1762],{"id":1739,"sortIndex":32,"affiliation":1763,"properties":28},{"id":1739,"createTime":28,"updateTime":28,"relativeEntities":1764,"slug":28,"properties":1765,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1767,"statistic":28},[],{"title":1766},{"VI":1744},[],{"title":1769},{"VI":1770},"Heather Purdie",{"url":1732,"publisher":1772,"properties":1828},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1773,"slug":872,"properties":1774,"entityType":25,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1777,"manageAffiliations":1797,"indexDatabases":1808,"url":952,"thumbnailPath":28,"statistic":1823,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1775,"title":1776},{"VOID":875},{"EN":877},[1778,1782,1786,1789,1793],{"id":881,"createTime":28,"updateTime":28,"relativeEntities":1779,"label":1780,"description":1781,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":884},{},{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1783,"label":1784,"description":1785,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},{"id":893,"createTime":28,"updateTime":28,"relativeEntities":1787,"label":1788,"description":28,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":896},{"id":898,"createTime":28,"updateTime":28,"relativeEntities":1790,"label":1791,"description":1792,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":901},{},{"id":904,"createTime":28,"updateTime":28,"relativeEntities":1794,"label":1795,"description":1796,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":907},{},[1798,1803],{"id":911,"createTime":28,"updateTime":28,"relativeEntities":1799,"slug":28,"properties":1800,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1802,"statistic":28},[],{"title":1801},{"EN":915},[],{"id":918,"createTime":28,"updateTime":28,"relativeEntities":1804,"slug":28,"properties":1805,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1807,"statistic":28},[],{"title":1806},{"EN":922},[924],[1809,1816],{"id":927,"indexDatabase":1810,"url":933,"indexYears":28,"academicFieldIds":1815,"indexDatabaseRanking":28},{"id":803,"createTime":28,"updateTime":28,"relativeEntities":1811,"label":1812,"description":1813,"key":810,"publicationTags":1814,"standard":28},[],{"EN":806,"VI":806},{"EN":808,"VI":809},[812,813],[816,935],{"id":937,"indexDatabase":1817,"url":943,"indexYears":944,"academicFieldIds":1822,"indexDatabaseRanking":951},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1818,"label":1819,"description":1820,"key":781,"publicationTags":1821,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[946,947,948,949,950],{"impactFactor":32,"impactFactorByYear":1824,"i10Index":323,"i10IndexLast5Year":42,"totalPublication":956,"totalPublicationByYear":1825,"totalCitation":958,"totalCitationByYear":1826,"totalCitationPerPublication":961,"totalCitationPerPublicationByYear":1827,"hindexLast5Year":146,"hindex":146},{"2016":165,"2017":116,"2018":347,"2019":113,"2020":319,"2021":167,"2022":229,"2023":955},{"2014":46,"2015":132,"2016":129,"2017":136,"2018":128,"2019":127,"2020":130,"2021":148,"2022":134,"2023":129,"2024":46},{"2015":353,"2016":960,"2017":530,"2018":279,"2019":205,"2020":516,"2022":200},{"2015":706,"2016":963,"2017":964,"2018":579,"2019":965,"2020":966,"2022":337},{"pages":1829,"volume":1831},{"VOID":1830},"1-11",{"VOID":1832},"3","2016-11-25",2016,[812,951],{"id":1837,"createTime":1838,"updateTime":1838,"relativeEntities":1839,"slug":28,"properties":1840,"entityType":986,"verifyStatus":878,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1849,"fullTextUrl":28,"authors":1850,"publicationType":1074,"publisherRelationship":1939,"citationCount":28,"citationInfo":28,"publishDate":2000,"publishYear":1439,"citationAnalyzeStatus":878,"lastCitationAnalyze":28,"indexDatabases":2001,"openAccess":28,"references":28,"isForceReanalyzing":1140},"11cced78-2f5b-4917-bb04-4bc1e4b52d41","2024-02-12T10:49:55.836+00:00",[],{"abstract":1841,"title":1843,"references":1845,"doi":1847},{"EN":1842},"In recent years, landslides have become a typical monsoon calamity in the Western Ghats region of Kerala, India. In addition to property damage, heavy rainfall (36% above normal) and multiple landslides (4728) killed 48 people in 2018. This tendency continued throughout the monsoon seasons of 2019, 2020, and 2021, resulting in the deaths of over 100 people. Anomalous precipitation is ascribed to the frequent development of low-pressure in the surrounding oceans. Using ground real data and satellite imagery, we evaluated the features of three large landslides in the state of Kerala, which occurred during the monsoon season of 2021. Our investigation found that the Kokkayar landslide was triggered by anthropogenic-related agricultural activities, the Plappally landslide by geomorphic and tectonic processes as well as human involvement, and the Kavali landslide by forest fragmentation with dense vegetation on thin soil. The triggering mechanism for all three of these landslides, however, is the intense rainfall of 266 mm in less than 24 h. Thus, an accurate and precise forecast of rainfall can be used to define a threshold for an early warning, which will be vital for saving lives.\n",{"EN":1844},"The tale of three landslides in the Western Ghats, India: lessons to be learnt",{"VOID":1846},"Achu AL, Joseph S, Aju CD, Mathai J (2021) Preliminary analysis of a catastrophic landslide event at Pettimudi, Kerala state. India Landslides 18:1459–1463\nAlcántara-Ayala I, Esteban-Chávez O, Parrot JF (2006) Landsliding related to land-cover change: a diachronic analysis of hillslope instability distribution in the Sierra Norte, Puebla, Mexico. CATENA 65:152–165\nBatar AK, Shibata H, Watanabe T (2021) A novel approach for forest fragmentation susceptibility mapping and assessment: a case study from the Indian Himalayan region. Remote Sens 13(20):4090\nEscobar-Wolf RV, Sanders JD, Oommen T, Sajinkumar KS, Vishnu CL (2021) A GIS tool for infinite slope stability analysis (GIS-TISSA). 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Environ Manage 54:1372–1384\nSajinkumar KS, Anbazhagan S (2015) Geomorphic appraisal of landslides on the windward slope of Western Ghats, southern India. Nat Hazards 75(1):953–973\nSajinkumar KS, Oommen T (2020) Rajamala landslide: continuation of a never-ending landslides series. J Geol Soc India 6:310\nSajinkumar KS, Arya A, Rajaneesh A, Oommen T, Ali P, Yunus RVR, Avatar R, Thrivikramji KP (2022) Migrating rivers, consequent paleochannels: the unlikely partners and hotspots of flooding. Sci Total Environ 807:150842\nSajinkumar KS, Oommen T (2021) Landslide atlas of Kerala. Geol Soc India, p 34.\nVishnu CL, Sajinkumar KS, Oommen T, Coffman RA, Thrivikramji K, Rani VR, Keerthy S (2019) Satellite-based assessment of the August 2018 flood in parts of Kerala, India. Geomat Nat Hazards Risk 10(1):758–767\nVishnu CL, Rani VR, Sajinkumar KS, Oommen T, Bonali FL, Pareeth S, Thrivikramji K, McAdoo BG, Anilkumar Y (2020) Catastrophic flood of August 2018, Kerala, India: partitioning role of geologic factors in modulating flood level using remote sensing data. Remote Sens Appl Soc Environ 2:100426\nWadhawan SK, Singh B, Ramesh MV (2020) Causative factors of landslides 2019: case study in Malappuram and Wayanad districts of Kerala. India Landslides 17:2689–2697\nWeidner L, Oommen T, Escobar-Wolf RV, Sajinkumar KS, Rinu S (2018) Regional scale back-analysis using TRIGRS: An approach to advance landslide hazard modeling and prediction in sparse data regions. Landslides 15(12):2343–2356\nYunus AP, Fan X, Subramanian SS, Jie D, Xu Q (2021) Unraveling the drivers of intensified landslide regimes in Western Ghats, India. 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More than 70% of the dam volume was produced during a blast event on December 22, 2009. In 2010–2011, dam construction was completed after earth filling on top of the blasted material and installing concrete and clay screens together with bentonite grouts. A geophysical survey had been completed in 2012–2013, mainly to monitor the resistivities inside the dam. The geophysical survey completed on the Kambarata 2 dam site showed lower resistivity zones in the earth fill and relatively higher resistivities in the blast-fill material. Topographic, geophysical and piezometric inputs had been compiled within a 3D geomodel constructed with GOCAD software. This model was compared with the design structure of the dam in order to define the upper limits of the underlying alluvium, the deposited blast fill, earth fill and top gravel materials (represented by the dam surface). The central cross-section of this model was extrapolated over the full length of the main dam profile. On the basis of a calibrated hydrogeological model and known geomechanical properties of the materials, dam stability calculations were completed for different scenarios considering different reservoir levels and varying seismic conditions. Some of these scenarios indicated a critical vulnerability of the dam, e.g., if impacted by a horizontal seismic acceleration of Ah = 0.3 g and a vertical seismic acceleration Av = 0.15 g, with an estimated return period of 475 years. As a general conclusion, it was noted that this case study can be used as an example for surveys on much larger natural – landslide or moraine – dams. A series of geophysical methods (e.g., electrical and electro-magnetic techniques, seismic and microseismic measurements) can be applied to investigate even very deep dam structures. These methods have the advantage over classical direct prospecting techniques, such as drilling, of using equipment that is much lighter and thus more easily transportable and applicable in difficult terrain. Furthermore, they can provide continuous information over wider areas. This specific application to a blast-fill dam allows us to better outline the strengths and weaknesses of the exploration types and geomodels as a series of investigated parameters can be verified more easily than for natural dams.",{"EN":2012},"The Kambarata 2 blast-fill dam, Kyrgyz Republic:blast event, geophysical monitoring and dam structure modelling",{"VOID":2014},"Abdrakhmatov K, Havenith HB, Delvaux D, Jongmans D, Trefois P (2003) Probabilistic PGA and arias intensity maps of Kyrgyzstan (Central Asia). J Seismol Soc Jpn 7:203–220\nAdushkin VV (2000) Explosive initiation of creative processes in nature. Fizika Goreniya i Vzryva 36(6):21–33\nAdushkin VV (2011) Russian experience with blast-fill Dam construction. In: Evans SG (ed) Natural and artificial rockslide dams. Springer, Berlin, Heidelberg, Lecture Notes in Earth Sciences, pp 595–616\nBindi D, Abdrakhmatov KY, Parolai S, Mucciarelli M, Grunthal G, Ischuk A (2012) Seismic hazard assessment in central Asia: outcomes from a site approach. Soil Dyn Earth Eng 37:84–97\nDanneels G, Bourdeau C, Torgoev I, Havenith HB (2008) Geophysical investigation and numerical modelling of unstable slopes: case-study of Kainama (Kyrgyzstan). Geophys J Int 175:17–34\nGerashnov GB, Zinevich YN, Shapovalov GI (1979) The Medeo mudflow-protection dam. Gidrotekhnicheskoe Stroitel’stvo 9:44–48\nHermanns RL, Folguera A, Penna I, Fauqué L, Niedermann S (2011) Landslide Dams in the Central Andes of Argentina (Northern Patagonia and the Argentine Northwest). In: Evans SG SG et al (eds) Natural and artificial rockslide dams. Springer, Berlin, Heidelberg, Lecture Notes in Earth Sciences, pp 147–176\nKoltuk S, Fernández-Steeger TM (2014) Evaluation of seismic stability of coherent landslides: analytical approach versus FEM. In: ᅟ Grützner, C. et al (eds) 5th International INQUA meeting on paleoseismology. Active Tectonics and Archeoseismology, Busan, Korea, pp 135–140, doi:10.13140\u002F2.1.1815.9364\nKorchevsky VF, Kolichko AV, Strom A, Pernik LM, Abdrakhmatov KE (2011) Utilisation of data derived from large-scale experiments and study of natural blockages for blast-fill Dam design. In: Evans SG SG et al (eds) Natural and artificial rockslide dams. Springer, Berlin, Heidelberg, Lecture Notes in Earth Sciences, pp 617–637\nKorjenkov AM, Bobrovskii A, Mamyrov EM (2010) Evidence for strong Paleoearthquakes along the Talas-Fergana Fault Near the Kök-Bel Pass, Kyrgyzstan. Geotectonics 44(3):262–270\nLamair L. (2012) Calcul de l’aléa sismique pour une région dans le Tien Shan Central, étude in situ et modélisation dynamique de la réponse sismique de sites de bassin de retenue. Master Thesis, University of Liege\nNedriga VP, Pokrovskii GI, Korchevsky VF, Petrov GN (1978) Full-scale investigations of seepage in an experimental blast-fill dam. Gidrotekhnicheskoe Stroitel’stvo 7:21–24\nPetrov GN, Reifman LS, Khusankhodzhaev FZ (1975) Dam construction by blasting. Gidrotekhnicheskoe Stroitel’stvo 10:15–19\nTorgoev A., Lamair L., Torgoev I., Havenith H.B. (2013) A Review of Recent Case Studies of Landslides Investigated in the Tien Shan Using Microseismic and Other Geophysical Methods. In: Ugai K et al. (eds) Earthquake-Induced Landslides, Springer-Verlag Berlin Heidelberg 285–294\nXu Y. (2014) Geologische 3D Modellierung und Analyse der Standsicherheit des Kambarata-2 Sprengschuttdammes. Master Thesis, RWTH Aachen University",{"VOID":2016},"10.1186\u002Fs40677-015-0021-x","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-015-0021-x",[2019,2034,2049,2069,2084,2099],{"id":2020,"sortIndex":32,"researcher":28,"roles":2021,"affiliations":2022,"properties":2031,"displayName":2033,"givenName":28,"familyName":28},"251a0ed4-4151-4755-ae3c-7f54eecdf0d9",[993],[2023],{"id":2024,"sortIndex":32,"affiliation":2025,"properties":28},"1c3d9ff1-09f7-484b-8d28-9c69707b5236",{"id":2024,"createTime":28,"updateTime":28,"relativeEntities":2026,"slug":28,"properties":2027,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2030,"statistic":28},[],{"title":2028},{"VI":2029},"Department of Geology, University of Liege, Liege, Belgium",[],{"title":2032},{"VI":2033},"Hans-Balder 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flood of August 2008 in eastern lowlands of Nepal affected around 2.64 million people in India and Nepal, including 65,000 people and 700 ha fertile land in Nepal. It was calculated that 25% of the affected cultivated land of Shreepur, Haripur and western Kushaha villages in Sunsari district are still barren and remain filled with flood sediment of sizes from clay to sand even after 8 years. The issues of land change from fertile to barren because of flooding and characteristics of the sediments in terms of cultivation are the foci of this research. Field measurement and information from questionnaire survey showed that the depth of the flood sediment are highly variable in impacted zones. They are divided into central red, red, yellow and green zones as per the thickness of the sediments. The sediments from sieve analysis has also shown that the degree of fineness is greater towards the green zones and texture has shown function of distance : T = f (d). The average thickness varies from 0.10 m in green zone to 4.5 m in central red zone in new channel area of the flood. The crop yield is also 50–75% greater in green zones than in the other zones. Changing in cultivation practice from traditional crops to cash crops have increased income up to 200–300% in the aggraded land. Changing in cultivation practices and removing layer of flood sediment in shallow sedimentation area are the major overcomes against the flood sediments. The study concluded that the agricultural practices in aggraded land depends on sediment textures, composition, and thickness of the sediments.",{"EN":2187},"Consequences of Koshi flood 2008 in terms of sedimentation characteristics and agricultural practices",{"VOID":2189},"ADB, Asian Development Bank. 2009. Report and recommendation of the President to the Board of Directors, Proposed Asian Development Fund Grant Nepal. Emergency Flood Damage Rehabilitation Project:2–3.\nAgarwal, R.P., and R. Bhoj. 1992. Evolution of Kosi river fan, India: structural implications and geomorphic significance. International Journal of Remote Sensing 13: 1891–1901. doi:10.1080\u002F01431169208904238.\nAndermanna, C., A. Cravea, R. Gloaguenb, P. Davya, and S. Bonnetd. 2012. Connecting source and transport: Suspended sediments in the Nepal Himalayas. Earth and Planetary Science Letters 351–352: 158–170. doi:10.1016\u002Fj.epsl.2012.06.059.\nAOSA, Association of Official Seed Analysts. 2002. Seed Vigour Testing Handbook, Contribution No. 32 to the Handbook of Seed Testing, NE, USA.\nBlair, T.C., and J.G. McPherson. 1994. Alluvial Fans and their Natural Distinction from Rivers Based on Morphology, Hydraulic Processes, Sedimentary Processes, and Facies Assemblages. Journal of Sedimentary Research, Section A: Sedimentary Petrology and Processes 64A: 450–489.\nBrown, S., H. Schreier, P.B. Shah, and L.M. Lavkulich. 1999. Modelling of soil nutrient budgets: an assessment of agricultural sustainability in Nepal. Soil Use and Management 15: 101–108.\nDesbiez, A., R. Matthews, B. Tripathi, and J. Ellis-Jones. 2004. Perceptions and assessment of soil fertility by farmers in the mid-hills of Nepal. Agriculture, Ecosystems & Environment 103: 191–206.\nDirkzwager, A.J.E., L. Grievink, P.G. Van der Velden, and C.J. Yzermans. 2006. Risk factors for psychological and physical health problems after a man-made disaster. The British Journal of Psychiatry 189: 144–149. doi:10.1192\u002Fbjp.bp.105.017855.\nDixit, A. 2009. Koshi Embankment Breach in Nepal: Need for a Paradigm shift in Responding to Floods. Economic and Political Weekly 44(6):70-78. http:\u002F\u002Fwww.jstor.org\u002Fstable\u002F40278487.\nGalea, S., D. Vlahov, H. Resnick, J. Ahern, E. Susser, J. Gold, et al. 2003. Trends of Probable Post-Traumatic Stress Disorder in New York City after the September 11 Terrorist Attacks. American Journal of Epidemiology 158: 514–524. doi:10.1093\u002Faje\u002Fkwg187.\nGhatak, M., A. Kamal, and O.P. Mishra. 2012. Background paper flood risk management in South Asia. In Proceedings of the SAARC Workshop on Flood Risk Management in South Asia.\nGole, C.V., and S.V. Chitale. 1966. Inland delta-building activity of the Kosi River. Journal of the Hydraulics Division American Society of Civil Engineers 92: 111–126.\nGuha-Sapir, D., and M.F. Lechat. 1986. Information systems and needs assessment in natural disasters: An approach for better disaster relief management. Disasters 10: 232–237. doi:10.1111\u002Fj.1467-7717.1986.tb00594.x.\nHooning, E.M. 2011. Flooding and sediment management on the Koshi alluvial fan, Nepal. Thesis, Dept. of Hydraulic Engineering, TU Delft, Institutional Repository. http:\u002F\u002Frepository.tudelft.nl\u002Fislandora\u002Fobject\u002Fuuid:9763a2a4-e199-4393-a2ebf7ac7f1dbd78?collection=education. Accessed 12 July 2013.\nHussain, A., Weisaeth, L., and T. Heir. 2009. Nonresponse to a population-based post disaster postal questionnaire study. Journal of Traumatic Stress International Society for Traumatic Stress Studies. doi:10.1002\u002Fjts.20431.\nISTA, International Seed Testing Association. 2009. International Rules for Seed Testing., Switzerland, 3–98. New York: Wiley.\nJain, V., and R. Sinha. 2005. Response of active tectonics on the alluvial Baghmati River, Himalayan foreland basin, eastern India. Geomorphology 70: 339–356. doi:10.1016\u002Fj.geomorph.2005.02.012.\nKafle, K.R., Khanal, S.N., and R.K. Dahal. 2015. “Adaptation on sedimentation” in terms of agricultural practices after August Koshi flood, 2008 in Nepal. Journal of Engineering Geology 1094–1104. Special publication. ISSN 0970–5317.\nKarlen, D.L., Mausbach, M.J., Doran, J.W., Cline, R.G., Harris, R.F., and G.E. Schuman. 1995. Soil Quality: A Concept, Definition, and Framework for Evaluation (A Guest Editorial). 61: 4–10. doi:10.2136\u002Fsssaj1997.03615995006100010001x.\nKhalequzzaman, M.D. 1994. Recent Floods in Bangladesh: Possible Causes and Solutions. Recent Studies in Geophysical Hazards 3: 65–80. doi:10.1007\u002F978-94-011-0976-5_4. Print ISBN 978-94-010-4423-3.\nMahato, R.K., and J.K. Shukla. 2013. Geomorphological Landforms of Sapt Kosi River Basin. International Journal of Lakes and Rivers 6: 85–101. ISSN 0973-4570.\nMAIB. 2015. My Agriculture Information Bank. http:\u002F\u002Fwww.agriinfo.in\u002F?page=topic&superid=4&topicid=271. Accessed 10 August 2015.\nMalilay, J., W.D. Flanders, and D. Brogan. 1996. A modified cluster-sampling method for post-disaster rapid assessment of needs. Bulletin of the World Health Organization 74: 399–405.\nMazumder, S.K. 2011. Protection Of Flood Embankments by Spurs with reference to Kosi River, paper presented and published in the proc. of HYDRO-2011 held at SVNIT, Surat, Dec. 29–30. http:\u002F\u002Fwww.profskmazumder.com. Accessed 25 Aug 2014.\nMoench, M. 2010. Responding to climate and other change processes in complex contexts: Challenges facing development of adaptive policy frameworks in the Ganga Basin. Technological Forecasting and Social Change 6: 975–986.\nMoHA. 2009. Ministry of Home Affairs, Government of Nepal, Nepal Disaster Report. The Hazardscape and vulnerability, 2009, 58. http:\u002F\u002Fwww.moha.gov.np. Accessed on 15 July 2015.\nNakayama, K., and P.D. Ulak. 1999. Evolution of fluvial style in the Siwalik Group in the foothills of the Nepal Himalaya. Sedimentary Geology 125: 205–224. doi:10.1016\u002FS0037-0738(99)00012-3.\nNayak, J.N. 1996. Sediment management of the Koshi River basin in Nepal. Erosion and Sediment Yield: Global and Regional Perspectives. Proceeding of the Exeter Symposium, July (1996):236. http:\u002F\u002Fhydrologie.org\u002Fredbooks\u002Fa236\u002Fiahs_236_0583.pdf. Accessed 25 Aug 2014.\nNepal, S., Flügel, W.A., and Shrestha A.B. 2014. Upstream-downstream linkages of hydrological processes in the Himalayan region. Ecological Processes 3: 19. Open Access. Online ISSN 2192-1709, doi:10.1186\u002Fs13717-014-0019-4\nÖnder, E., Ü. Tural, A. Tamer, K. Cengiz, and E. Sarper. 2006. Prevalence of psychiatric disorders three years after the 1999 earthquake in Turkey: Marmara Earthquake Survey (MES). Social Psychiatry and Psychiatric Epidemiology 41: 868–874.\nPaudel, S., and J.P. Sah. 2003. Physiochemical characteristics of soil in tropical sal (Shorea robusta Gaertn.) forests in eastern Nepal. Himalayan Journal of Sciences 1: 107–110. ISSN 1727-5210.\nRahman, M.A. 2011. Study on the changes of coastal zone: Chittagong to Cox׳s Bazar along the Bay of Bengal. In: Global Summit on Coastal Seas, EMECS 9, 28–31. Baltimore, Maryland, USA. August. http:\u002F\u002Ffeppcar.org\u002F179\u002Fstudy-on-the-changes-of-coastal-zone-chittagong-tocox%E2%80%99s-bazar-along-the-bay-of-bengal\u002F. 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Soil Science 164: 341–350.\nSinha, R. 1998. On the controls of fluvial hazards in the north Bihar plains, eastern India. The Geological Society, London, Engineering Geology Special Publications 15: 35–40.\nSinha, R., and S. Kommula. 2010. Avulsion threshold in a large Himalayan river: the case of the Kosi, India and Nepal. In The Smithsonian\u002FNASA Astrophysics Data System, American Geophysical Union fall meeting EP24B-07.\nSinha, R., V. Jain, G.P. Babu, and S. Ghosh. 2005. Geomorphic characterization and diversity of the fluvial systems of the Gangetic Plains. Geomorphology 70: 207–225. doi:10.1016\u002Fj.geomorph.2005.02.006.\nSinha, R., S.K. Tandon, and M.R. Gibling. 2010. Shallow sub-surface stratigraphy of the Ganga basin, Himalayan foreland: Present status and future perspectives. Quaternary 227: 81–86. doi:10.1016\u002Fj.quaint.2010.07.015.\nSubramanian, V., and A.L. Ramanathan. 1996. Nature of Sediment Load in the Ganges-Brahmaputra River Systems in India, Sea-Level Rise and Coastal Subsidence, Causes, Consequences, and Strategies, In ed. Milliman J.D., and B.U. Haq, 2:151–168. Netherlands: Springer. ISBN 978-90-481-4672-7\nTHT, The Himalaya Times. 2011. 700 hectares hit by Koshi flood still uncultivable.. 12 Sep.\nTiwari, K.R., B.K. Sitaula, T. Børresen, and R.M. Bajracharya. 2006. An assessment of soil quality in Pokhare Khola watershed of the Middle Mountains in Nepal. Journal of Food, Agriculture & Environment 4: 276–283.\nWalling, D.E. 1988. Erosion and sediment yield research—Some recent perspectives. Journal of Hydrology 100: 113–114. doi:10.1016\u002F0022-1694(88)90183-7.",{"VOID":2191},"10.1186\u002Fs40677-017-0069-x","https:\u002F\u002Fgeoenvironmental-disasters.springeropen.com\u002Farticles\u002F10.1186\u002Fs40677-017-0069-x",[2194,2209,2222],{"id":2195,"sortIndex":32,"researcher":28,"roles":2196,"affiliations":2197,"properties":2206,"displayName":2208,"givenName":28,"familyName":28},"8830526d-9c9f-4cb2-831b-a8e91437a702",[993],[2198],{"id":2199,"sortIndex":32,"affiliation":2200,"properties":28},"834c1747-f60c-45f2-98ac-66a4e0b405dd",{"id":2199,"createTime":28,"updateTime":28,"relativeEntities":2201,"slug":28,"properties":2202,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2205,"statistic":28},[],{"title":2203},{"VI":2204},"Department of Environmental Science and Engineering, Kathmandu University, Dhulikhel, Nepal",[],{"title":2207},{"VI":2208},"K. R. 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This is to highlight the need to integrate drought adaptation options into the government development plans. Strategies for drought adaptation options in the study area have often been made without experimental foundations placed on the extent of drought and its implications on the households. To achieve this, the study employed Normalized Rainfall Index (NRI) to determine the extent of droughts and its implications on the households, which has much to offer in terms of policy decisions. The study also utilized questionnaire administrated to 400 households to determine the annual income from different occupations that yielded more income to the people in the study area using one-way analysis of variance (ANOVA). The NRI shows that the study area was characterized by mild to severe drought events. The first (1986–1995) and third (2006–2017) decades experienced high incidences of droughts, while the second decade (1996–2005), witnessed the least incidences of droughts. The result of the economic activities of the households reveals that 65% of the total household respondents were involved in farming, while 35% were involved in non-farming activities as their major source of livelihood. The analysis of variance on the economic activities that generated more income to the households in Yobe State shows that farming activities provided more opportunities for income generation. Consequently, agriculture in the study area is currently being constrained by the frequent occurrence of droughts. Thus, there is a need for integrated development schemes aimed at livelihood diversification and increasing the adaptive capacity of households to drought in the study area.",{"EN":2310},"Drought occurrences and its implications on the households in Yobe state, Nigeria",{"VOID":2312},"Abaje, I.B., O.F. Ati, E.O. Iguisi, and G.G. Jidauna. 2013. Droughts in the Sudano-Sahelian Ecological Zone of Nigeria: Implications for Agriculture and Water Resources Development. 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Abuja: National Population Commission. http:\u002F\u002Fpopulation.gov.ng\u002Fwp-content\u002Fthemes\u002Fexpo18\u002Fdocuments\u002FPr%20Vol%209%20Size%20of%20Household.zip.\nNwaka, G.I. 1991. Pedogenesis and Soil Resources. In Gadzama, N.M. et al. (eds). Arid Zone. Hydrology and water Resources. University of Maiduguri press. 235–262.\nNyong, A., A. Adepetu, V. Ihemegbulem, and D. Dabi. 2003. Vulnerability of rural households to drought in northern Nigeria. Assessment of impacts and adaptation to climate change (AIACC) Notes 2 (2): 6–7.\nO'Connor, T.G. 1995. Transformation of a savanna grassland by drought and grazing. African Journal of Range and Forage Science. 12 (2): 53–60.\nOladipo, E.O. 1993. Some aspects of the spatial characteristics of drought in northern Nigeria. Natural Hazards. 8: 171–188.\nOlagunju, T.E. 2015. Drought, desertification and the Nigerian environment: A review. Journal of Ecology and the Natural Environment 7 (7): 196–209.\nOyekale, A.S. 2009. 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