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Susceptibility mapping of groundwater salinity using machine learning models
Authors:Mosavi  Amirhosein  Sajedi Hosseini  Farzaneh  Choubin  Bahram  Taromideh  Fereshteh  Ghodsi  Marzieh  Nazari  Bijan  Dineva  Adrienn A
Institution:1.Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
;2.Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
;3.Reclamation of Arid and Mountainous Regions Department, Faculty of Natural Resources, University of Tehran, Karaj, Iran
;4.Soil Conservation and Watershed Management Research Department, West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO, Urmia, Iran
;5.Department of Irrigation, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
;6.Faculty of Geography, University of Tehran, Tehran, Iran
;7.Department of Water Sciences and Engineering, Imam Khomeini International University, Qazvin, Iran
;8.Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
;
Abstract:Environmental Science and Pollution Research - Increasing groundwater salinity has recently raised severe environmental and health concerns around the world. Advancement of the novel methods for...
Keywords:
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