Pavlis Michail, Cummins Enda
School of Biosystems Engineering, College of Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
School of Biosystems Engineering, College of Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
J Environ Manage. 2014 Jan 15;133:162-73. doi: 10.1016/j.jenvman.2013.11.044. Epub 2013 Dec 27.
The aim of the analysis was to assess the intrinsic and specific vulnerability of groundwater to pollution from pesticides in Ireland at the national scale. A methodology to incorporate the effect of groundwater recharge in vulnerability assessment is described which can be particularly useful for the evaluation of dilution of groundwater pollutants. A sensitivity analysis using Monte-Carlo simulation revealed that the most important parameters of the model were subsoil (ρ = 0.79) and topsoil (ρ = 0.72), which is in agreement with the current knowledge of the parameters that have a significant effect on groundwater vulnerability in Ireland. The intrinsic vulnerability assessment was verified using total organic carbon (TOC) concentration in groundwater, a novel approach for the validation of groundwater vulnerability methods at regional scales. A statistical analysis showed that TOC concentration was significantly different (p < 0.001) between watersheds classified as highly vulnerable and watersheds classified as less vulnerable, providing evidence that the developed method can effectively classify karst areas in terms of groundwater vulnerability.
该分析的目的是在国家尺度上评估爱尔兰地下水对农药污染的内在和特定脆弱性。描述了一种将地下水补给效应纳入脆弱性评估的方法，该方法对于评估地下水污染物的稀释特别有用。使用蒙特卡洛模拟的敏感性分析表明，模型中最重要的参数是底土（ρ = 0.79）和表土（ρ = 0.72），这与目前对爱尔兰地下水脆弱性有重大影响的参数的认识一致。利用地下水中的总有机碳（TOC）浓度对内在脆弱性评估进行了验证，这是一种在区域尺度上验证地下水脆弱性方法的新方法。统计分析表明，在被分类为高度脆弱的流域和被分类为较不脆弱的流域之间，TOC浓度存在显著差异（p < 0.001），这证明所开发的方法能够有效地根据地下水脆弱性对岩溶地区进行分类。
