Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, Milan, Italy.
Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, Milan, Italy.
Waste Manag. 2018 May;75:400-406. doi: 10.1016/j.wasman.2018.01.043. Epub 2018 Mar 2.
Landfills are one of the most recurrent sources of groundwater contamination worldwide. In order to limit their impacts on groundwater resources, current environmental regulations impose the adoption of proper measures for the protection of groundwater quality. For instance, in the EU member countries, the calculation of trigger levels for identifying significant adverse environmental effects on groundwater generated by landfills is required by the Landfill Directive 99/31/EC. Although the derivation of trigger levels could be relatively easy when groundwater quality data prior to the construction of a landfill are available, it becomes challenging when these data are missing and landfills are located in areas that are already impacted by historical contamination. This work presents a methodology for calculating trigger levels for groundwater quality in landfills located in areas where historical contaminations have deteriorated groundwater quality prior to their construction. This method is based on multivariate statistical analysis and involves 4 steps: (a) implementation of the conceptual model, (b) landfill monitoring data collection, (c) hydrochemical data clustering and (d) calculation of the trigger levels. The proposed methodology was applied on a case study in northern Italy, where a currently used lined landfill is located downstream of an old unlined landfill and others old unmapped waste deposits. The developed conceptual model stated that groundwater quality deterioration observed downstream of the lined landfill is due to a degrading leachate plume fed by the upgradient unlined landfill. The methodology led to the determination of two trigger levels for COD and NH-N, the former for a zone representing the background hydrochemistry (28 and 9 mg/L for COD and NH-N, respectively), the latter for the zone impacted by the degrading leachate plume from the upgradient unlined landfill (89 and 83 mg/L for COD and NH-N, respectively).
垃圾填埋场是全球地下水污染的最常见来源之一。为了限制其对地下水资源的影响,当前的环境法规要求采取适当措施保护地下水质量。例如,在欧盟成员国,《填埋指令 99/31/EC》要求计算垃圾填埋场对地下水产生的重大不利环境影响的触发水平。虽然在垃圾填埋场建设之前有地下水质量数据时,触发水平的推导可能相对容易,但当这些数据缺失且垃圾填埋场位于已经受到历史污染影响的地区时,这就变得具有挑战性。本工作提出了一种在垃圾填埋场位于历史污染已经恶化地下水质量的地区计算地下水质量触发水平的方法。该方法基于多元统计分析,包括 4 个步骤:(a) 实施概念模型,(b) 收集垃圾填埋场监测数据,(c) 水化学数据聚类,(d) 计算触发水平。该方法应用于意大利北部的一个案例研究,其中一个当前使用的衬垫垃圾填埋场位于一个旧的无衬垫垃圾填埋场和其他旧的未映射废物堆积物的下游。所开发的概念模型指出,衬垫垃圾填埋场下游观察到的地下水质量恶化是由于由上游无衬垫垃圾填埋场提供的降解渗滤液羽流造成的。该方法确定了 COD 和 NH-N 的两个触发水平,前者代表背景水化学(COD 和 NH-N 分别为 28 和 9mg/L),后者代表受上游无衬垫垃圾填埋场降解渗滤液羽流影响的区域(COD 和 NH-N 分别为 89 和 83mg/L)。