一种基于工业来源的方法,用于对水资源中特定地点的新兴污染物进行优先排序
Pier Paolo Guolo1, Loris Calgaro2, Paolo Ronco3
1Department of Environmental Sciences, Informatics and Statistics, University Ca'Foscari of Venice, Via Torino 155, Mestre, 30172, Italy.
概括
这项研究引入了一种新的方法,通过将欧洲化学品署 (ECHA) 的数据与当地工业活动相结合,识别饮用水源中的不受管制的化学品. 这种方法有助于优先考虑污染物,以便在脆弱地区制定有效的水安全计划 (WSP).
科学领域:
- 环境化学环境化学
- 水资源管理 水资源管理
- 风险评估 风险评估
背景情况:
- 人口增长和工业化等全球变化正在降低水资源的水平,需要对饮用水进行严格的风险评估.
- 水安全计划 (WSP) 对于管理特定地点的风险至关重要,但识别新出现的化学污染物是具有挑战性的.
- 快速发展的工业过程引入了新的化学物质,使传统的监测和风险评估变得复杂.
研究的目的:
- 开发和应用一种方法来识别和优先考虑在饮用水供应地区引起关注的非监管化学品.
- 整合欧洲化学品局 (ECHA) 的化学数据与特定地点的工业活动信息.
- 通过识别以前未经监测的物质的潜在风险,支持实施水安全计划 (WSPs).
主要方法:
- 开发了一种方法,将ECHA数据库与当地工业活动数据相结合.
- 该方法应用于意大利高度工业化的威尼托地区,该地区地下水和地表水污染严重.
- 化学品的优先级是基于持久性,流动性和毒性 (PMT) 特性,环境发生和工业废水排放量.
主要成果:
- 为研究区域确定了一份46种不受监管的令人担忧的化学品清单.
- 优先考虑发现了对饮用水质量构成潜在风险的关键物质.
- 结果与欧盟规模的演习一致,但由于当地工业形状,强调了特定区域的污染物.
结论:
- 开发的方法有效地识别和优先考虑新出现的化学污染物,以实施WSP.
- 积极识别不受管制物质对于制定基于证据和有效的水资源监测计划至关重要.
- 这种方法为保护饮用水质量免受新化学威胁提供了至关重要的基础.
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