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Experimental study on soil pollution analysis around tailings using ground penetrating radar
引用本文:Dunwen LIU Desheng GU. Experimental study on soil pollution analysis around tailings using ground penetrating radar[J]. 中国地球化学学报, 2006, 25(B08): 44-44
作者姓名:Dunwen LIU Desheng GU
作者单位:School of Resources and Safety Engineering, Central South University, Changsha 410083, China
摘    要:Pollution caused by tailings has become a serious environmental problem in China. An attempt was made to establish the ground penetrating radar (GPR) as a quick and non-destructive method for soil pollution analysis. Some physical models were established of contaminated soils from the tailing area. A series of indoor GPR experiments were conducted with 1 GHz antenna. The interface of contaminated area and uncontaminated area is characterized as a saltation zone in the radar image. The results of experiments show a clear correlation between the GPR data and the pollution intensity of soil. Based on all experimental data, the relation of velocity of electromagnetic wave propagation and pollution intensity was induced by using artificial neural network (ANN). The results obtained indicate that GPR can provide high-resolution estimates of soil pollution variations around tailings as a function of depth as well as space and time.

关 键 词:土壤污染 尾矿 矿山 地面穿透雷达 人工神经网络

Experimental study on soil pollution analysis around tailings using ground penetrating radar
Abstract:This article analyzed the meaning of mineral-resource security, set up the ecological security index system for mineral-resource enterprises, made a method of evaluating ecological security. After empirical analysis, it was pointed out that evaluating the ecological environment security of mineral-resource enterprises is not only necessary, but also the basis for establishing ecological security alarming mechanism. Meanwhile, it is also an important decisive basis for executing the sustainable development strategy.
Keywords:soil pollution analysis   tailings   ground penetrating radar   artificial neural network
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