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Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based models |
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| Authors: | Zounemat-Kermani Mohammad Alizamir Meysam Keshtegar Behrooz Batelaan Okke Hinkelmann Reinhard |
| Institution: | 1.Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran ;2.Center of Excellence in Hydroinformatics, University of Tabriz, 29 Bahman Ave, Tabriz, Iran ;3.Department of Civil Engineering, Hamedan branch, Islamic Azad University, Hamedan, Iran ;4.Department of Civil Engineering, Faculty of Engineering, University of Zabol, P.B. 9861335-856, Zabol, Iran ;5.National Centre for Groundwater Research and Training, College of Science and Engineering, Flinders University, Adelaide, Australia ;6.Chair of Water Resources Management and Modeling of Hydrosystems, Technische Universit?t Berlin, Berlin, Germany ; |
| Abstract: | Environmental Science and Pollution Research - This study evaluates the potential of kriging-based (kriging and kriging-logistic) and machine learning models (MARS, GBRT, and ANN) in predicting the... |
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