地理研究 ›› 2014, Vol. 33 ›› Issue (10): 1857-1865.doi: 10.11821/dlyj201410007

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某污染场地土壤苯并(a)芘含量的三维估值及不确定性分析

陶欢1(), 廖晓勇1(), 阎秀兰1, 赵丹1, 马栋1, 李鹏2   

  1. 1. 中国科学院地理科学与资源研究所,北京 100101
    2. 中国科学院大学,北京 100049
  • 收稿日期:2013-11-12 修回日期:2014-07-25 出版日期:2014-10-10 发布日期:2014-10-10
  • 作者简介:

    作者简介:陶欢(1989- ),男,湖南衡阳人,硕士,研究方向为场地污染评估与修复。E-mail: taoh.11s@igsnrr.ac.cn

  • 基金资助:
    国家自然科学基金项目(41271339);国家高技术研究发展计划(863)项目(2012AA06A201, 2013AA06A206)

Uncertainty analysis and pollution volumetric calculation of soil BaP contents in a contaminated site

Huan TAO1(), Xiaoyong LIAO1(), Xiulan YAN1, Dan ZHAO1, Dong MA1, Peng LI2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2013-11-12 Revised:2014-07-25 Online:2014-10-10 Published:2014-10-10

摘要:

污染场地修复前的准确评估是开展场地修复行动的基础和前提。建立了一套评估污染场地中污染土方量的三维插值方法,采用该方法模拟了某污染场地土壤苯并(a)芘(BaP)含量的空间分布并分析其不确定性。结果表明:场地地下环境中BaP含量数据服从对数正态分布,土壤中污染严重区域分别位于研究区的西南部和北部。通过普通克里格插值得到的BaP浓度超过0.4 mg·kg-1的污染羽体积为14134 m3,对应的累积概率为0.585。依据给定变差范围值计算,得出现有收集数据对整个场地的描述程度为65%。基于该三维插值方法能准确地反映场地污染物空间分布特征,其不确定性分析可为补充采样布点及精准评估提供参考。

关键词: 苯并(a)芘, 普通克里格, 指示克里格, 土方量, 不确定性

Abstract:

An accurate assessment prior to the contaminated site remediation is essential and pre-conditional to carry out a site remediation project. In this study, a system to calculate the pollution volumetric of BaP in a contaminated site based on three-dimensional interpolation is set up to simulate the spatial distribution of soil benzopyrene (BaP) and analyze its uncertainty. The results show that BaP content underground in the contaminated sites accords to the log normal distribution, while the southwest and north of the studied area was seriously polluted. By ordinary kriging interpolation, the volume of BaP plume concentration higher than 0.4 mg·kg-1 was calculated to be 14134 m3 corresponding to the accumulation probability of 0.585. By variation range of values, the describing level of the existing data collected at the sites was calculated to be 65%. The spatial distribution features of the contaminations at the sites are thus accurately represented by this method with the uncertainty analysis served as reference for supplement sample stationing and precisely accurate evaluation.

Key words: BaP, ordinary kriging, indicator kriging, volume of contaminated-soil, uncertainty