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Machine learning-based prediction of toxic metals concentration in an acid mine drainage environment,northern Tunisia |
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| Authors: | Trifi Mariem Gasmi Anis Carbone Cristina Majzlan Juraj Nasri Nesrine Dermech Mohja Charef Abdelkrim Elfil Hamza |
| Affiliation: | 1.Georesources Laboratory, Water Research and Technology Center (CERTE), Borj-Cedria Technopole, B.P. 273, Soliman, 8020, Tunisia ;2.Laboratory Desalination and Natural Water Valorization (LaDVEN), Water Research and Technology Center (CERTE), Borj-Cédria Technopole, B.P. 273, Soliman, 8020, Tunisia ;3.Center for Remote Sensing Application (CRSA), Mohammed VI Polytechnic University (UM6P), 43150, Ben Guerir, Morocco ;4.Departiment of Earth, Environment and Life Sciences (DISTAV), University of Genoa, 26 Corso Europa, 16132, Genoa, Italy ;5.Institute of Geosciences, Friedrich-Schiller University, Burgweg 11, 07749, Jena, Germany ;6.Higher Institute of Environmental Technologies, Urban Planning and Construction, University of Carthage, Charguia II, 2035, Tunis, Tunisia ;7.Laboratory in Hydraulic and Environmental Modelling, National Engineering School of Tunis, University of Tunis, Tunis, Tunisia ;8.Mineral Resources and Environment Laboratory, LR01ES06, Sciences Faculty of Tunis, Tunis El Manar University, 1092, Tunis, Tunisia ; |
| Abstract: | Environmental Science and Pollution Research - In northern Tunisia, Sidi Driss sulfide ore valorization had produced a large waste amount. The long tailings exposure period and in situ minerals... |
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