某石油泄漏场地土壤二甲苯空间分布的三维插值

Three-dimensional interpolation of dimethylbenzene distribution in soil at a petroleumcontaminated site in China

为精确界定污染场地中污染物三维空间分布范围,本文以中国某石油储罐泄露污染场地为研究对象,采用最近邻点法、反距离加权法及克里金法3种三维空间插值模型,对场地中特征污染物二甲苯进行三维空间插值计算及污染分布表征,比较不同插值模型的计算精度,揭示场地中实际受污染土方量。结果表明,反距离加权法预测平均误差为4.94,均方根误差为14.11,其精度明显高于另外2种模型,界定的污染分布范围较符合实际污染情况,通过该方法进行插值后计算受污染土方量为666.2 m^3。研究结果对该类型污染场地污染物空间分布表征和修复治理决策制定提供科学依据。

A petroleum-contaminated site was selected to determine the contamination boundary and volume of soil contaminated with dimethylbenzene. We compared the efficiency and precision of three 3D interpolation models （Kriging, IDW, and Nearest Neighbor） in determining the site contamination boundary. Employing a cross validation method, we found that the results of the IDW model were more accurate than the other two models in predicting the actual pollution conditions of the contaminated site. The mean error （ME） and root mean square error （ RMSE ） of IDW were 4.94, and 14.11, respectively. With a view towards remediation, the contaminated soil volume calculated by the IDW interpolation model was 666.2 m3. Different prediction models had uncertain influences on determining the contamination boundary. This study provides a contribution towards determining pollutant distribution ted sites. and making decision for remediation of contaminated sites.