Abstract：In order to define the three dimensional distribution of pollutant and contaminated earth volume in contaminated sites, and provide the relative technical methods and ideas, a typical lead-acid battery contaminated site was studied as an example. The influence of different three dimensional interpolation models (Krig-3D, Inverse Distance Weighted (IDW), Nearest Neighbor (NN)) in different horizontal and vertical anisotropy coefficient setting conditions on Pb pollution assessment and boundary distribution was examined. Different models had different predictive accuracy, the mean error and root mean square error raised, with the increasing of vertical and horizontal ratio. Furthermore, comparison between the results and the remediation target indicated that the contaminated earth volume was largest by IDW statistical model, followed by Krig-3D and NN models, the statistical values differed by 13%. In terms of the contaminated evaluation results and prediction accuracy, the Krig-3D and IDW were better than NN models. Thus, the selections of the appropriate models and rational parameters had very important effects on the accuracy definition of pollution boundary and reducing uncertainty. This result provided important basis for guiding the remediation and management of the contaminated sites.
刘庚, 王尚义, 牛俊杰, 张朝, 赵鑫, 郭观林. 不同三维模型对铅酸蓄电池污染场地土壤Pb空间分布预测的影响[J]. 中国环境科学, 2014, 34(12): 3157-3163.
LIU Geng, WANG Shang-Yi, NIU Jun-Jie, ZHANG Chao, ZHAO Xin, GUO Guan-Lin. The influence of different three dimensional models on Pb distributing prediction in lead-acid battery contaminated sites. CHINA ENVIRONMENTAL SCIENCECE, 2014, 34(12): 3157-3163.
