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Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin |
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| Authors: | Sakaa Bachir Elbeltagi Ahmed Boudibi Samir Chaffaï Hicham Islam Abu Reza Md Towfiqul Kulimushi Luc Cimusa Choudhari Pandurang Hani Azzedine Brouziyne Youssef Wong Yong Jie |
| Institution: | 1.Scientific and Technical Research Center on Arid Regions (CRSTRA), BP 1682 RP, 07000, Biskra, Algeria ;2.Faculty of Earth Sciences, Laboratory of Water Resource and Sustainable Development (REED), Badji Mokhtar University, BP 12, 23000, Annaba, Algeria ;3.Agricultural Engineering Dept, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt ;4.Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh ;5.Department of Environmental Studies, University of Lay Adventists of Kigali, P.O. Box: 6392, Kigali, Rwanda ;6.Department of Geography, University of Mumbai, Mumbai, India ;7.International Water Research Institute, Mohammed VI Polytechnic University (UM6P), 43150, Benguerir, Morocco ;8.Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu, Shiga, 520-0811, Japan ; |
| Abstract: | Environmental Science and Pollution Research - The water quality index is one of the prominent general indicators to assess and classify surface water quality, which plays a critical role in river... |
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