Komnitsas Kostas, Modis Kostas
Department of Mineral Resources Engineering, Technical University Crete, Chania, Greece.
J Hazard Mater. 2009 May 30;164(2-3):1185-90. doi: 10.1016/j.jhazmat.2008.09.027. Epub 2008 Sep 16.
The present paper aims to estimate risk by using geostatistics at the wider coal mining/waste disposal site of Belkovskaya, Tula region, in Russia. In this area the presence of hot spots causes a spatial trend in the mean value of the random field and a non-Gaussian data distribution. Prior to application of geostatistics, subtraction of trend and appropriate smoothing and transformation of the data into a Gaussian form were carried out; risk maps were then generated for the wider study area in order to assess the probability of exceeding risk thresholds. Finally, the present paper discusses the need for homogenization of soil risk thresholds regarding hazardous elements that will enhance reliability of risk estimation and enable application of appropriate rehabilitation actions in contaminated areas.
本文旨在运用地统计学方法，对俄罗斯图拉地区别尔科夫斯卡亚的大型煤矿开采/废物处理场地的风险进行评估。该地区存在热点区域，导致随机场均值出现空间趋势以及数据分布呈非高斯分布。在地统计学方法应用之前，先进行了趋势减法运算，并对数据进行了适当的平滑处理以及转化为高斯形式；随后为更广泛的研究区域生成了风险地图，以评估超过风险阈值的概率。最后，本文讨论了统一土壤中有害元素风险阈值的必要性，这将提高风险评估的可靠性，并有助于在污染区域采取适当的修复措施。
