Physics - PMIPA, FKIP, University of Riau, Pekanbaru, Riau, 28293, Indonesia.
Environ Monit Assess. 2020 Aug 29;192(9):606. doi: 10.1007/s10661-020-08564-z.
In this article, a valuable approach utilizing the relationship between select physical water and soil characteristics and geoelectrical resistivity data was used to recognize and trace groundwater contamination by using the geoelectrical resistivity data of a landfill area. It can reduce uncertainty in geoelectrical resistivity interpretation. By interpreting and calibrating the resistivity model with the lithology and physical characters of water samples, it was possible to identify the unique paths of landfill leachate that occurred throughout a shallow aquifer. The water physical property analysis showed that the landfill area was contaminated by a relatively high amount of total of dissolved solids (TDSs). A scatter plot of TDS values and directly measured resistivity showed that resistivity decreased with increasing TDSs. The movement direction of the landfill leachate in the aquifer system was clearly observed in a depth slice of the resistivity distribution. The aquifer is considered to be contaminated starting from the landfill zone and extending to the northeastern part of the study area.
在本文中，利用选择的物理水和土壤特性与电阻率数据之间的关系，使用垃圾填埋场区域的电阻率数据来识别和追踪地下水污染，这是一种有价值的方法。它可以减少电阻率解释的不确定性。通过解释和校准电阻率模型与水样的岩性和物理特性，可以识别整个浅层含水层中发生的垃圾渗滤液的独特路径。水物理性质分析表明，该垃圾填埋场受到较高含量的总溶解固体（TDS）的污染。TDS 值和直接测量电阻率的散点图表明，电阻率随 TDS 的增加而降低。在电阻率分布的深度切片中，可以清楚地观察到含水层系统中垃圾渗滤液的移动方向。从垃圾填埋区开始，该含水层被认为受到了污染，并延伸到研究区域的东北部。
