首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Geochemical, geostatistical and time series analysis techniques as a tool to achieve the Water Framework Directive goals: An example from Piedmont region (NW Italy)
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Geochemical, geostatistical and time series analysis techniques as a tool to achieve the Water Framework Directive goals: An example from Piedmont region (NW Italy)

机译:地球化学,地统计和时间序列分析技术作为实现水框架指导目标的工具:来自皮埃蒙特地区的一个例子(NW意大利)

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摘要

In this study, geochemical data processing and statistical/geostatistical techniques were coupled to achieve Water Framework Directive goals, collecting useful information from a complex database. Considering the Greater Turin metropolitan area, located in North-Western Italy, chemical data of 135 wells sampled and collected from 2000 to 2018 by the Environmental Protection Agency of Piedmont were analyzed. Both the processes that determine the groundwater chemical composition and the origin and evolution of groundwater were decoded and understood. The presence of two different components in the foothill aquifer system investigated was found. A bicarbonate alkaline earthy type component, linked with different degrees to phenomena of water-rock interaction, and a chlorinated type component related to nitrates, whose effects related to human activities can be recognized. This last component was mapped by using geostatistical techniques to define the most critical zones of the study area. Time series analysis on chlorides and nitrates displayed the presence of statistically significant increasing trends in some areas of the Turin plain. This study shows that the combining of geochemical approach, geostatistical techniques, and time series analysis can be used as reliable tools to understand geochemical processes acting on the system, to identify temporal and spatial hydrochemical variability, as well as to forecast water quality evolution. In this perspective, the multi-disciplinary approach developed in this study represents a reliable methodology for extracting useful information from a complex database and achieving the Water Framework Directive goals.
机译:在这项研究中,地球化学数据处理和统计/地统计学技术相结合,以实现水框架指导目标,从复杂的数据库中收集有用的信息。考虑到位于意大利西北部的大都灵大都会区,皮埃蒙特环境保护局从2000年至2018年采集了135口井的化学数据,并对其进行了分析。确定地下水化学成分的过程以及地下水的起源和演化都被解码和理解。在调查的山麓含水层系统中发现了两种不同的成分。一种碳酸氢盐-碱土型组分,与水-岩相互作用的现象有不同程度的联系;另一种与硝酸盐有关的氯化型组分,其影响与人类活动有关。最后一个部分是通过使用地质统计学技术绘制的,以确定研究区域的最关键区域。对氯化物和硝酸盐进行的时间序列分析显示,都灵平原的一些地区存在统计上显著的增长趋势。这项研究表明,地球化学方法、地质统计学技术和时间序列分析相结合,可以作为了解作用于系统的地球化学过程、识别时间和空间水化学变异性以及预测水质演变的可靠工具。从这个角度来看,本研究中开发的多学科方法代表了从复杂数据库中提取有用信息并实现水框架指导目标的可靠方法。

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