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Pre- and post-dam river water temperature alteration prediction using advanced machine learning models
Authors:Vishwakarma  Dinesh Kumar  Ali  Rawshan  Bhat  Shakeel Ahmad  Elbeltagi  Ahmed  Kushwaha  Nand Lal  Kumar  Rohitashw  Rajput  Jitendra  Heddam  Salim  Kuriqi  Alban
Institution:1.Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture and Technology, Pantnagar, 263145, India
;2.Department of Petroleum, Koya Technical Institute, Erbil Polytechnic University, Erbil, 44001, Iraq
;3.College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, Jammu and Kashmir, 190025, India
;4.Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt
;5.Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
;6.Faculty of Science, Agronomy Department, Hydraulics Division, Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology, University 20 Ao?t 1955, Route El Hadaik, BP 26, Skikda, Algeria
;7.CERIS, Instituto Superior Técnico, University of Lisbon, 1649-004, Lisbon, Portugal
;
Abstract:Environmental Science and Pollution Research - Dams significantly impact river hydrology by changing the timing, size, and frequency of low and high flows, resulting in a hydrologic regime that...
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