Ali Mosaad Ali Hussein, Qian Wei, Rabeiy Ragab, Saleem Hussein A, Mohamed Ahmed S, Muhammad Abdullahi Uwaisu, Shebl Ali
Mining and Metallurgical Engineering Department, Assiut University, Assiut, 71515, Egypt.
School of Earth Sciences and Engineering, Hohai University, Nanjing, 211100, China.
Sci Rep. 2025 Jul 2;15(1):23671. doi: 10.1038/s41598-025-08030-1.
The environmental difficulties from mining tailings arise mainly from legacy dump sites because these residues spread pollution through surrounding areas. Effective environmental management requires a comprehensive pre-assessment. An ERI, electrical resistivity imaging, system serves as the analytical tool to create models for leachate assessment prior to its measurement in abandoned mining tailing storage sites. A total of 16 2D ERI profiles produced both 2D and 3D models that monitored the El Mochito mine waste site in Honduras. Different geoelectric zones were identified in the electrical resistivity models of this site with high resistivity values ranging between 60 and 100 Ω m in the surface layer while the middle layer exhibited moderate resistivity between 30 and 60 Ω m and the lowest resistivity of 1-30 Ω m was observed in the active leaching zone that contained conductive materials and mineral-rich leachate. The 3D hydrogeological models provided clear visibility of leachate areas and flow paths. The leachate migration showed uniform movement towards the northern direction until it reached the southern region where concentrations decreased. Another level of spatial understanding and depth information on resistivity distribution was obtained from 3D ERI models. The complete assessment objectives of the research form the basis for future investigations while demonstrating the importance of integrating geochemical measurements. The study emphasizes the need for ERI to examine complicated mining tailings yet requests deeper scientific investigation to create effective environmental management techniques and remediation practices.
采矿尾矿带来的环境问题主要源于遗留的倾倒场地,因为这些残渣会在周边地区扩散污染。有效的环境管理需要进行全面的预评估。一种电电阻率成像(ERI)系统作为分析工具,用于在废弃采矿尾矿储存场地测量渗滤液之前创建渗滤液评估模型。总共16条二维ERI剖面生成了二维和三维模型,对洪都拉斯的埃尔莫奇托矿废料场进行了监测。在该场地的电阻率模型中识别出了不同的地电区域,表层的高电阻率值在60至100Ω·m之间,中间层的电阻率适中,在30至60Ω·m之间,而在含有导电材料和富含矿物质渗滤液的活跃淋滤区观察到最低电阻率为1至30Ω·m。三维水文地质模型清晰显示了渗滤液区域和流动路径。渗滤液迁移显示出向北方的均匀移动,直到到达南部区域,其浓度才降低。从三维ERI模型中获得了关于电阻率分布的另一层次的空间理解和深度信息。该研究的完整评估目标构成了未来调查的基础,同时证明了整合地球化学测量的重要性。该研究强调了使用ERI来检测复杂采矿尾矿的必要性,但也要求进行更深入的科学研究,以创建有效的环境管理技术和修复措施。