Mapping Leachate Pathways in Aging Mining Tailings Pond Using Electrical Resistivity Tomography
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| Vydáno v: | Minerals vol. 13, no. 11 (2023), p. 1437 |
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| Hlavní autor: | |
| Další autoři: | , , , , , , |
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MDPI AG
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| On-line přístup: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 100 | 1 | |a Mosaad Ali Hussein Ali |u Mining and Metallurgical Engineering Department, Assiut University, Assiut 71515, Egypt | |
| 245 | 1 | |a Mapping Leachate Pathways in Aging Mining Tailings Pond Using Electrical Resistivity Tomography | |
| 260 | |b MDPI AG |c 2023 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Mining activities often leave behind a legacy of environmental challenges, with aging tailings ponds representing a significant concern due to their potential for leachate formation and subsequent contaminant release. Thus, this study employs Electrical Resistivity Tomography (ERT) to investigate the intricate pathways of leachate within an aging mining tailings pond, addressing the pressing environmental and human health concerns associated with potential contaminant release. Ten 2D ERT profiles were acquired at the El Mochito mine waste site, covering an area of approximately half a square kilometer. These profiles, ranging in length from 104 to 363 m, provided insights into subsurface conditions down to a maximum depth of 60 m. The subsurface mapping of the ERT data showed three different geoelectric layers. The uppermost layer, with a thickness of approximately 2.5 m and resistivity values ranging from 60 to 100 Ohm.m, was identified as a dry tailing/soil zone. Beneath it, the second layer exhibited moderately resistive values (30–60 Ohm.m) with varying thicknesses of 10–20 m, signifying a percolation/leaching zone (semi-saturated zone). The third layer, characterized by substantially low resistivity (1–30 Ohm.m), indicated saturation and the presence of conductive materials, strongly suggesting active leaching. Based on these findings, this study recommends further investigation through geochemical analysis of subsurface samples and more advanced geophysical imaging techniques to validate the distribution of anomalous zones and delineate remediation pathways. This study lays the foundation for future comprehensive research that will integrate geophysical surveys with geochemical analysis and establish 4D modeling techniques to monitor pollutant penetration over time, with a particular focus on mine waste tailings mapping. Plus, this study contributes valuable insights into the characterization of leachate pathways within mining tailings ponds, offering a foundation for informed environmental management and remediation strategies. | |
| 651 | 4 | |a Honduras | |
| 653 | |a Imaging techniques | ||
| 653 | |a Ageing | ||
| 653 | |a Mine wastes | ||
| 653 | |a Tomography | ||
| 653 | |a Saturation | ||
| 653 | |a Environmental management | ||
| 653 | |a Mapping | ||
| 653 | |a Contaminants | ||
| 653 | |a Electrical resistivity | ||
| 653 | |a Remediation | ||
| 653 | |a Environmental impact | ||
| 653 | |a Percolation | ||
| 653 | |a Landfill | ||
| 653 | |a Contamination | ||
| 653 | |a Ponds | ||
| 653 | |a Soil contamination | ||
| 653 | |a Geoelectricity | ||
| 653 | |a Mining industry | ||
| 653 | |a Leaching | ||
| 653 | |a Aging | ||
| 653 | |a Tailings | ||
| 653 | |a Geochemistry | ||
| 653 | |a Geophysics | ||
| 653 | |a Leachates | ||
| 653 | |a Subsurface mapping | ||
| 653 | |a Thickness | ||
| 653 | |a Pollutants | ||
| 653 | |a Geophysical surveys | ||
| 653 | |a Pollution monitoring | ||
| 653 | |a Outdoor air quality | ||
| 653 | |a Aquifers | ||
| 653 | |a Waste materials | ||
| 653 | |a Groundwater | ||
| 653 | |a Mine tailings | ||
| 653 | |a Rain | ||
| 653 | |a Groundwater pollution | ||
| 700 | 1 | |a Mewafy, Farag M |u Boone Pickens School of Geology, Oklahoma State University, Stillwater, OK 74078, USA; <email>farag.mewafy@okstate.edu</email> | |
| 700 | 1 | |a Qian, Wei |u School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China; <email>wei.geoserve@gmail.com</email> | |
| 700 | 1 | |a Alshehri, Fahad |u Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; <email>falshehria@ksu.edu.sa</email> (F.A.); <email>majed.aloufi4@gmail.com</email> (M.A.) | |
| 700 | 1 | |a Almadani, Sattam |u Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; <email>falshehria@ksu.edu.sa</email> (F.A.); <email>majed.aloufi4@gmail.com</email> (M.A.) | |
| 700 | 1 | |a Aldawsri, Mofleh |u Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; <email>falshehria@ksu.edu.sa</email> (F.A.); <email>majed.aloufi4@gmail.com</email> (M.A.) | |
| 700 | 1 | |a Aloufi, Majed |u Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; <email>falshehria@ksu.edu.sa</email> (F.A.); <email>majed.aloufi4@gmail.com</email> (M.A.) | |
| 700 | 1 | |a Saleem, Hussein A |u Mining Engineering Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia; <email>hasmohamad@kau.edu.sa</email> | |
| 773 | 0 | |t Minerals |g vol. 13, no. 11 (2023), p. 1437 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2893305492/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/2893305492/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2893305492/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |