地下水中本底污染物值:以都灵平原(意大利西北部)为例的方法学分析

IF 0.4 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Daniele Cocca, Luis Miguel Santillan Quiroga, Domenico Antonio De Luca
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引用次数: 0

摘要

地下水中弥散污染物的背景值(BVs)是正确理解污染物现象的重要信息,是地方当局的一个有效工具。本研究的目的是强调在考虑不同化学参数的情况下,在山前平原浅层含水层同一区域使用本地或区域数据之间的背景值差异。更具体地说,在都灵市的地方和省一级考虑了氯化溶剂和镍。这些化学品的浓度数据来自都灵大都会的区域监测网络(RMRAS)和皮埃蒙特区域环境保护局(ARPA Piemonte)在当地站点的当地分析。由于监测井密度低,使用RMRAS监测点无法确定地下水中的bv。相反,在局部研究区域的分析使人们能够正确地理解和描述许多具体方面,识别弥漫性污染和识别新的潜在准时污染。总之,这项研究使在当地尺度上确定地下水中的生物多样性成为可能,并提出了可能改进分析方法的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Background contaminants values in groundwater: methodological analysis in the case study of Turin plain (NW Italy)
Background Values (BVs) of diffuse pollutants in groundwater represent a very important information for the correct comprehension of contaminant phenomena and constitute an operative tool for local authorities.The aim of the study is to highlight the Background Values (BVs) differences between the use of local or regional data in the same sector in the Piedmont plain shallow aquifer considering different chemical parameters. More specifically, chlorinated solvents and nickel were considered at a local and provincial scale in the Metropolitan City of Turin. The concentrations data of the chemicals derived from the Regional Monitoring network (RMRAS) for the Metropolitan City of Turin and from local analyzes of Regional Agency for Environmental Protection (ARPA Piemonte) in the local site.The use of the RMRAS monitoring points was resulted inappropriate to define BVs in groundwater due to the low density of monitoring wells. On the contrary, the analyzes in the local study area made it possible to understand and characterize correctly numerous specific aspects, recognizing the diffuse pollution and identifying new potential punctual contamination.In conclusion, the study made it possible to define the BVs in groundwater at a local scale and to propose possible improvements of analysis methodology.
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来源期刊
Rendiconti Online Societa Geologica Italiana
Rendiconti Online Societa Geologica Italiana GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
0.80
自引率
0.00%
发文量
19
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