| 某铅酸蓄电池污染场地表层土壤重金属Pb空间分布预测研究 |
| 摘要点击 2486 全文点击 1433 投稿时间：2014-05-14 修订日期：2014-07-12 |
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| 中文关键词 污染场地 重金属 空间分布预测 污染评价 异常值 |
| 英文关键词 contaminated site heavy metal spatial distribution prediction pollution evaluation outlier |
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| 中文摘要 |
| 为准确界定某典型蓄电池企业污染场地土壤中特征性污染物Pb的空间分布范围，分析和比较了数据拆分后的分区预测模型（OKLG+TIN）、数据正态变换后克里格模型（OKBC）、反距离加权模型（IDW）以及样条函数模型（Spline）对土壤Pb污染空间分布预测和污染评价的影响. 结果表明，原始数据集具有高偏倚特征，局部区域存在较大的空间变异性；分区预测模型取得了最高的预测精度，预测的污染物空间分布比较符合场地实际污染状况，其它3种模型受适用原理及数据特征影响，预测精度较低，预测结果不能很好反映高污染区域的细部变化特征，不适合该场地Pb的空间分布预测与制图. 研究结果对于此类型工业污染场地后续的修复范围确定和修复治理决策制定提供了参考. |
| 英文摘要 |
| In order to enhance the reliability of risk estimation and to improve the accuracy of pollution scope determination in a battery contaminated site with the soil characteristic pollutant Pb, four spatial interpolation models, including Combination Prediction Model (OKLG+TIN), kriging model(OKBC), Inverse Distance Weighting model (IDW), and Spline model were employed to compare their effects on the spatial distribution and pollution assessment of soil Pb. The results showed that Pb concentration varied significantly and the data was severely skewed. The variation coefficient of the site was higher in the local region. OKLG+TIN was found to be more accurate than the other three models in predicting the actual pollution situations of the contaminated site. The prediction accuracy of other models was lower, due to the effect of the principle of different models and datum feature. The interpolation results of OKBC, IDW and Spline could not reflect the detailed characteristics of seriously contaminated areas, and were not suitable for mapping and spatial distribution prediction of soil Pb in this site. This study gives great contributions and provides useful references for defining the remediation boundary and making remediation decision of contaminated sites. |
