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Emmanuel Sakala
Emmanuel Sakala
Council for Geoscience
Verified email at geoscience.org.za
Title
Cited by
Cited by
Year
GIS-based groundwater vulnerability modelling: A case study of the Witbank, Ermelo and Highveld Coalfields in South Africa
E Sakala, F Fourie, M Gomo, H Coetzee
Journal of African Earth Sciences 137, 46-60, 2018
262018
Natural attenuation of acid mine drainage by various rocks in the Witbank, Ermelo and Highveld Coalfields, South Africa
E Sakala, F Fourie, M Gomo, G Madzivire
Natural Resources Research 30 (1), 557-570, 2021
172021
Mine water treatment and the use of artificial intelligence in acid mine drainage prediction
VRK Vadapalli, E Sakala, G Dube, H Coetzee
Recovery of Byproducts from Acid Mine Drainage Treatment, 23-48, 2020
112020
Application of Artificial Intelligence (AI) to predict mine water quality, a case study in South Africa
E Sakala, O Novhe, VRK Vadapalli
Proceedings of the Mine Water Association Conference: Technological and …, 2019
112019
Mapping surface sources of acid mine drainage using remote sensing: Case study of the Witbank, Ermelo and Highveld coalfields
E Sakala, F Fourie, M Gomo, H Coetzee
13th international mine water association congress: Mine water & circular …, 2017
52017
Specific groundwater vulnerability mapping: Case study of acid mine drainage in the Witbank coalfield, South Africa
E Sakala, F Fourie, M Gomo, H Coetzee, L Magadaza
Proceedings of the Sixth IASTED International Conference, Gaborone, Botswana …, 2016
52016
Regional interpretation of aeromagnetic data for groundwater exploration in Capricorn District, Limpopo, South Africa
E Sakala, A Tessema, PK Nyabeze
International Journal of Modelling and Simulation 34 (1), 36-42, 2014
52014
Hydrogeological investigation of the Witbank, Ermelo and Highveld Coalfields: Implications for the subsurface transport and attenuation of acid mine drainage
E Sakala, F Fourie, M Gomo, H Coetzee
Mine Water and Circular Economy, 564-571, 2017
42017
Groundwater vulnerability mapping of Witbank coalfield in South Africa using deep learning artificial neural networks
E Sakala, F Fourie, M Gomo, H Coetzee
South African Journal of Geomatics 8 (2), 282-293, 2019
22019
RESOLVING OPTIMUM MAGNETIC SIGNATURES FOR DRILL-HOLE TARGETING IN GOLD EXPLORATION-A CASE STUDY FOR MBUDZANE IN GWANDA, ZIMBABWE
DJ Hlatywayo, E Sakala
International Journal of Geography and Geology 3 (1), 9, 2014
22014
Multi-agent value co-creation and technological innovation in rural water supply in South Africa
E Sakala
PQDT-Global, 2022
2022
Development of rapid assessment tools for groundwater vulnerability mapping using intergrated geoscientific datasets and artificial intelligence algorithms: case study from …
E Sakala
University of the Free State, 2017
2017
INVESTIGATION OF POSSIBLE CONTAMINANT PLUMES EMANATING FROM RESIDUAL MINE DEPOSITS IN THE MPUMALANGA PROVINCE OF SOUTH AFRICA, RESULTS FROM GEOPHYSICAL SURVEYS
E Sakala, E Chirenje, B Yibas
Application of Artificial Intelligence in Hydrogeology to Solve Water Related Issues–Case StudiesFfrom South Africa and Malawi
E Sakala
2018 AAPG International Conference and Exhibition, 0
Investigation of contaminant plumes emanating from residual mine deposits in the Limpopo Province of South Africa, results from geophysical surveys
PK Nyabeze, B Yibas, E Sakala
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