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Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches |
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| Authors: | Alkindi Khalifa M. Mukherjee Kaustuv Pandey Manish Arora Aman Janizadeh Saeid Pham Quoc Bao Anh Duong Tran Ahmadi Kourosh |
| Affiliation: | 1.UNESCO Chair on Aflaj Studies, Archaeohydrology, University of Nizwa, Nizwa, Oman ;2.Department of Geography, Chandidas Mahavidyalaya, Birbhum, WB, 731215, India ;3.University Center for Research & Development (UCRD), Chandigarh University, Mohali, 140413, Punjab, India ;4.Department of Civil Engineering, University Institute of Engineering, Chandigarh University, Mohali, 140413, Punjab, India ;5.Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 10025, Delhi, India ;6.Department of Watershed Management Engineering and Sciences, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, 14115-111, Tehran, Iran ;7.Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Vietnam ;8.Ho Chi Minh City University of Technology (HUTECH) 475A, Dien Bien Phu, Ward 25, Binh Thanh District, Ho Chi Minh City, Vietnam ;9.Department of Forestry, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, 14115-111, Tehran, Iran ; |
| Abstract: | Environmental Science and Pollution Research - Nitrate is a major pollutant in groundwater whose main source is municipal wastewater and agricultural activities. In the present study, Bayesian... |
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