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首页> 外文期刊>International Journal of Electrochemical Science >Identifying Arsenic Pathway Using Electrical Resistivity Survey with GIS based Flow Modeling
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Identifying Arsenic Pathway Using Electrical Resistivity Survey with GIS based Flow Modeling

机译:使用基于GIS的流动模型的电阻率测量识别砷通道

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Arsenic contamination in the area around gold mine has been of very much concern for researchingand attempting to solve the problem. This research methodology employed arsenic content in soil, soilprofiles from electrical resistivity survey and flow modeling from GIS application, to find pathway ofarsenic. Total of 240 soil samples were collected from 48 locations of which 39 locations are in thecatchment where goldmine situates (called as inside catchment) and 9 locations are at nearbycatchment (called as outside catchment). With the Box-and Whisker diagram, arsenic content at 3locations inside catchment were considered as the extreme outliers. Intensive investigations wereplaced on location of high arsenic content to find out the most possible path of arsenic transportationand its potential source. By utilizing electrical resistivity survey, soil types and its profiles deeper intothe ground around the location of extreme arsenic content can be obtained. Then, with cooperation offlow modeling of GIS associated with the direction of the deposited coarse grained soils, the water linepassing through the interesting areas could be delineated. It indicated that water line initiated from theplace close to tailing of goldmine, laid down along the natural creek and come across the study field inrainy season toward some villages. Results of arsenic content in soil samples along this finding linecorroborated that the line was a significant path of arsenic transportation. Because of closing to minetailing, it would be most possible that this line is a carriage pathway of arsenic leakage from goldmine.
机译:金矿周围地区的砷污染一直是研究和试图解决该问题的非常关注的问题。该研究方法利用土壤中的砷含量,电阻率调查的土壤剖面和GIS应用的流动模型来寻找砷的途径。从48个地点收集了240个土壤样品,其中39个地点位于金矿所在的集水区(称为内部集水区),而9个地点位于附近的集水区(称为外部集水区)。在盒须图上,流域内3个位置的砷含量被认为是极端离群值。对高砷含量的地点进行了深入调查,以找出最可能的砷运输途径及其潜在来源。通过利用电阻率调查,可以获得土壤中砷含量极高的土壤类型及其剖面。然后,在与沉积粗粒土的方向相关联的GIS流动模型的配合下,可以划定穿过有趣区域的水线。这表明水线是从靠近金矿尾矿的地方开始的,沿着自然小河铺设,并穿过研究田的雨季到一些村庄。沿着该发现线的土壤样品中砷含量的结果证实了该线是砷运输的重要途径。由于接近矿尾,这条线很可能是砷从金矿中泄漏出来的途径。

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