铬渣污染场地复电阻率法探测技术研究
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摘要
在重金属(铬)污染土壤物理参数变化引起土壤的电学参数包括电阻率、复电阻率、介电常数和磁化率等发生的变化的实验研究基础上,确定了复电阻率方法为重金属污染场地的探测方法。选择Cole-Cole模型作为土壤复电阻率的电路模型,在微观结构上对Cole-Cole模型参数与土壤物理模型参数之间的关系进行了推导。基于平均球近似理论,结合阿尔奇公式,得到土壤复电阻率中对导电起主导作用的直流电阻率。基于双层胶体板模型,及泊松—波尔兹曼公式,得到土壤复电阻率中具有容抗特征的双电层电容参数。土壤复电阻率参数中包括一些与土壤本身特征相关的参数,在大量实验数据的基础上通过反演算法得到特定土壤的参数。设计一维数字滤波程序,对基于有限元法的场地数值模型进行验证,结果显示结合等效电阻率法的有限元数值模拟计算是正确的。建立场地模型,由测量的视复电阻率,通过反演算法逐步计算得到土壤的物理模型,与实际物理模型对比后显示反演结果可以对含水率和污染程度进行较好的区分。
The complex resistivity method is chosen as the heavy metal contaminated sites detection method on the basis of experimental study of the soil electrical parameters changes caused by the changes of soil physical parameters. The electrical parameters include resistivity, complex resistivity, dielectric constant and magnetic susceptibility.
Cole-Cole model is selected as the circuit model for the soil complex resistivity. We derive the relation between the Cole-Cole model parameters and soil physical model parameters in the micro-structure. Based on the mean spherical approximation theory, combined with Archie's equation, the DC resistivity is getted which is the leading role of electrical conductivity in the soil complex resistivity model. Double-layer capacitance parameter which has capacitance characteristics in the soil complex resistivity model is obtained on the basis of Double-clay-plate model and Poisson-Boltzmann equation.
The soil complex resistivity parameters include some ones which is related to soil itself characteristics. The specific soil parameters are obtained on the basis of a large number of experimental data through the inversion algorithm. A one-dimensional digital filtering program is designed to verify the site numerical model based on the finite element method, and the results show that the the finite element numerical simulation combined with equivalent resistivity method is correct. The apparent complex resistivity datas getted by measuring the established site model are used to inversed step by step for the soil physical model, and the comparison show that inversion results can bring a better distinction for the moisture and pollution.
The complex resistivity method is chosen as the heavy metal contaminated sites detection method on the basis of experimental study of the soil electrical parameters changes caused by the changes of soil physical parameters. The electrical parameters include resistivity, complex resistivity, dielectric constant and magnetic susceptibility.
Cole-Cole model is selected as the circuit model for the soil complex resistivity. We derive the relation between the Cole-Cole model parameters and soil physical model parameters in the micro-structure. Based on the mean spherical approximation theory, combined with Archie's equation, the DC resistivity is getted which is the leading role of electrical conductivity in the soil complex resistivity model. Double-layer capacitance parameter which has capacitance characteristics in the soil complex resistivity model is obtained on the basis of Double-clay-plate model and Poisson-Boltzmann equation.
The soil complex resistivity parameters include some ones which is related to soil itself characteristics. The specific soil parameters are obtained on the basis of a large number of experimental data through the inversion algorithm. A one-dimensional digital filtering program is designed to verify the site numerical model based on the finite element method, and the results show that the the finite element numerical simulation combined with equivalent resistivity method is correct. The apparent complex resistivity datas getted by measuring the established site model are used to inversed step by step for the soil physical model, and the comparison show that inversion results can bring a better distinction for the moisture and pollution.
引文
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