一种基于工业来源的方法,用于确定水资源中特定地点新出现的污染物的优先次序。

IF 5.8 3区 环境科学与生态学 0 ENVIRONMENTAL SCIENCES
Pier Paolo Guolo, Loris Calgaro, Paolo Ronco, Alessandro Bonetto, Andrea Artuso, Chiara Giacon, Fabio Rosada, Antonio Marcomini
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引用次数: 0

摘要

全球人口增长、工业化、城市化和气候变化已被证明是导致水资源,特别是供人类和动物消费的水资源退化的主要驱动因素。在此背景下,实施了《水安全计划》,以确定和评估特定地点的潜在风险,并制定旨在预防和尽量减少影响的缓解战略。应用WSP方法的关键步骤之一是评估潜在污染源所构成的风险,并确定特定饮用水供应地区可能关注的化学品。根据化学-物理-毒理学特征识别可能构成风险的物质,但尚未受到监测,并且由于特定的,通常不是很明显,明确的和难以追踪的工业过程而可能在领土内合理存在,这是实施WSP的一项复杂但基本的工作。这尤其具有挑战性,因为根据生产需求和技术改进,化学化合物和成分的更新速度非常快。在这项工作中,我们开发了一种方法,通过将欧洲化学品管理局(ECHA)数据库中报告的信息与工业活动的特定地点数据相结合,来识别这些物质。拟议的办法是在威尼托地区(意大利)的高度工业化地区实施的,特别是位于阿尔卑斯山的山麓,那里主要的含水层被用于供水,历史上受到严重的地下水/地表水污染的影响。获得了46种受关注的非管制化学品清单,并根据化学品PMT特征、特定场所的环境发生情况和工业活动排放的废水量对这些物质进行了进一步的优先排序。结果与在欧盟范围内实施的类似优先排序练习中报告的结果一致,尽管由于案例研究区域的特定地方特征,出现了一些特殊性。确定值得关注的化学物质和其他参数(特别是在尚未受到管制的情况下)是一项必不可少的、不可延迟的宣传活动,有助于制定连贯的、以证据为基础的监测计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An industrial sources-based methodology for the prioritization of site-specific emerging contaminants in water resources.

Global population growth, industrialization, urbanization, and climate change have been shown to be major drivers leading to degradation of water resources, especially those designed for human and animal consumption. In this context, Water Safety Plans (WSPs) have been introduced to identify and assess potential site-specific risks as well as to develop mitigation strategies aimed at preventing and minimizing impacts. One of the crucial steps in the application of the WSP approach is to assess the risk posed by potential sources of contamination and to identify which chemicals may be of concern for a specific drinking water supply area. Identifying substances that may represent a risk based on their chemical-physical-toxicological profile, but which have not yet been monitored, and which could reasonably be present in the territory due to specific, often not very evident, explicit, and difficult to trace industrial processes is a complex but fundamental exercise within the implementation of a WSP. This is particularly challenging since chemical compounds and ingredients are renewed very quickly according to production needs and technological improvements. In this work, we developed an approach to identify these substances by integrating information reported in the European CHemical Agency (ECHA) database with site-specific data on industrial activities. The proposed approach was implemented within the deeply industrialized area of the Veneto Region (Italy), specifically located at the foothills of the Alps where major aquifers are being used for water provision, historically affected by severe groundwater/surface water contamination. A list of 46 non-regulated chemicals of concern was obtained, and the substances were further prioritized based on chemical PMT characteristics, site-specific environmental occurrence, and the quantity of wastewater discharged by the industrial activities. The results were consistent with those reported in similar prioritization exercises implemented at the EU scale, although several peculiarities emerged due to specific local characteristics of the case study area. The identification of chemical substances and other parameters of concern (especially if not yet regulated) represents an essential and undelayable propaedeutic activity for the definition of a coherent and evidence-based monitoring plans.

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来源期刊
CiteScore
8.70
自引率
17.20%
发文量
6549
审稿时长
3.8 months
期刊介绍: Environmental Science and Pollution Research (ESPR) serves the international community in all areas of Environmental Science and related subjects with emphasis on chemical compounds. This includes: - Terrestrial Biology and Ecology - Aquatic Biology and Ecology - Atmospheric Chemistry - Environmental Microbiology/Biobased Energy Sources - Phytoremediation and Ecosystem Restoration - Environmental Analyses and Monitoring - Assessment of Risks and Interactions of Pollutants in the Environment - Conservation Biology and Sustainable Agriculture - Impact of Chemicals/Pollutants on Human and Animal Health It reports from a broad interdisciplinary outlook.
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