Lucas L, Jauzein M
Centre for Geological Computer Sciences (CIG), Ecole Nationale Supérieure des Mines de Paris, F-77305 Fontainebleau Cedex, France.
Environ Pollut. 2008 Jan;151(1):205-12. doi: 10.1016/j.envpol.2007.01.054. Epub 2007 May 30.
This work aims at evaluating spatial distribution patterns of concentration variations for chlorinated solvents in groundwater, based on principal component analysis and geographic information system (GIS) tools. The study investigates long-time series of chlorinated solvent concentrations in groundwater measured for 18 contaminated industrial sites. The characterization of contaminant plumes and delineation of pollutant sources are essential for choosing appropriate monitoring and remediation strategies, as contaminated groundwaters are characterized by complex patterns of spatial and temporal concentration variability, with wide unpredictable fluctuations over time. The present work describes the results of a new exploratory statistical method called the Variability Index Method (VIM) applied to environmental data to assess the performance of using concentration variations as molecular tracers to reveal aquifer dynamics, industrial impacts, and point sources for contamination plumes. The application of this method provides a useful assessment of controls over contaminant concentration variations as well as support for remediation techniques.
这项工作旨在基于主成分分析和地理信息系统（GIS）工具，评估地下水中氯化溶剂浓度变化的空间分布模式。该研究调查了18个受污染工业场地长期测量的地下水中氯化溶剂浓度系列。由于受污染的地下水具有复杂的时空浓度变异性模式，且随时间波动幅度大且不可预测，因此污染物羽状物的特征描述和污染源的划定对于选择合适的监测和修复策略至关重要。本研究描述了一种名为变异性指数法（VIM）的新探索性统计方法的结果，该方法应用于环境数据，以评估使用浓度变化作为分子示踪剂来揭示含水层动态、工业影响和污染羽状物点源的性能。该方法的应用为污染物浓度变化的控制提供了有用的评估，并为修复技术提供了支持。
