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某大型焦化企业污染场地中多环芳烃空间分布的分异性特征
摘要点击 2627  全文点击 1240  投稿时间:2012-02-17  修订日期:2012-04-08
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中文关键词  污染场地  多环芳烃  空间分布  概率分析  分异性特征
英文关键词  contaminated site  PAHs  spatial distribution  probability analysis  heterogeneous characteristic
作者单位E-mail
刘庚 山西农业大学资源环境学院, 太谷 030801
中国环境科学研究院环境基准与风险评估国家重点实验室, 北京 100012 
liugeng9696@126.com 
郭观林 中国环境科学研究院环境基准与风险评估国家重点实验室, 北京 100012  
南锋 山西农业大学资源环境学院, 太谷 030801  
魏文侠 轻工业环境保护研究所, 北京 100012  
李发生 中国环境科学研究院环境基准与风险评估国家重点实验室, 北京 100012  
毕如田 山西农业大学资源环境学院, 太谷 030801 brt@sxau.edu.cn 
中文摘要
      以我国某大型焦化企业污染场地为研究对象,应用非参数地统计学中指示克里格方法对场地中0~50 cm深度土壤的多环芳烃(PAHs)空间分布进行污染概率分析,并绘制在设定阈值条件下的概率分布图. 结果表明,对采样样点数据进行指示转换后,可获取较为稳健的指示半变异函数,但由于样本的空间变异原因,导致样本间空间相关性差; 所研究的4种PAHs污染概率在空间分布上具有相似性,概率超过45%的区域主要分布于炼焦、煤气净化、焦油化产品回收等生产工艺的车间中,位于厂区的中部及西北和东南,污染较为严重; 概率<45%的区域主要分布在备煤和煤气净化等生产工艺车间,位于厂区西南和东北区域. 污染概率预测结果与该场地污染源的产生和分布状况相一致. 研究结果对后续的污染场地修复治理范围确定和土方量估算提供了重要参考.
英文摘要
      A large coking contaminated site was selected to study the PAHs' spatial distribution probability in surface-soil (0-50 cm) through the indicator kriging of the non-parametric geostatistics, and the map of probability distribution with a contaminant target was plotted over the entire site. Results indicated that the indicator semivariograms were stable after the conversion of sample data, but the poor correlation of spatial samples was observed due to the spatial variability. In this site, the distribution of the contamination probability of four PAHs' showed a similar characteristic, and the areas with a probability of more than 45% were mainly distributed in production process workshops for coking, gas purification, tar products etc, of the central, northwest and southeast site with serious contamination, while the areas with a probability of less than 45% were mainly distributed in coal preparation, gas purification workshops of the southwest and northeast site. Based on the above analysis results, we can draw a conclusion that the forecast probability results are consistent with the occurrence and distribution of pollution sources, which is important for defining the remediation boundary and calculating the contaminated soil volume.

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