Addressing drivers and data gaps in Spain's non-compliance of drinking water quality standards.

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2025-02-01 Epub Date: 2025-01-17 DOI:10.1016/j.scitotenv.2025.178412
Delia M Andries, Alberto Garrido, Lucia De Stefano
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Abstract

In 2021 Spain passed a new law regarding the quality of drinking water, increasing the transparency and introducing a risk assessment approach to the catchment area, which ascribe to the shift in recent years in how drinking water management is understood in the European Union legislation. Good data quality is important to ensure the correct implementation of policies. We used the drinking quality data uploaded to Spain's National Drinking Water Information System to gauge the state of the drinking water reporting in Spain, the differences between rural urban and rural areas in both quality and reporting and identify which variables at catchment level influence the probability of a municipality incurring in drinking water quality non-compliance. Random forest modeling was used to assess the drivers of non-compliance, including environmental (e.g., land cover, lithology, climate, state of the water supply source) and demographic (e.g., tap water expenditure, population density) data. We found that rural municipalities are more vulnerable both because of a lack of reporting but also because they have higher non-compliance rates for arsenic, microbiological and contaminants and nitrogen compounds (e.g. nitrate). We also found different spatial patterns of non-compliance according to each group of contaminants (e.g., microbiological violations are widespread in the northern half of Spain). The random forest model suggests that agriculture and confined livestock farming are behind nitrogen and microbiological non-compliances. Climate drivers have also emerged for all the groups of contaminants, which underscores the importance of studying drinking water quality non-compliance on a case-by-case basis in order to properly adapt to local realities and enhance compliance across Spain.

解决西班牙不符合饮用水质量标准的驱动因素和数据差距问题。
2021年,西班牙通过了一项关于饮用水质量的新法律,提高了透明度,并在集水区引入了风险评估方法,这归因于近年来欧盟立法中对饮用水管理的理解发生了变化。良好的数据质量对于确保政策的正确实施至关重要。我们使用上传到西班牙国家饮用水信息系统的饮用水质量数据来衡量西班牙饮用水报告的状态,农村城市和农村地区在质量和报告方面的差异,并确定集水区的哪些变量影响市政当局发生饮用水质量不合规的可能性。随机森林模型用于评估不合规的驱动因素,包括环境(如土地覆盖、岩性、气候、供水来源状态)和人口(如自来水支出、人口密度)数据。我们发现,农村城市更容易受到影响,不仅因为缺乏报告,还因为它们对砷、微生物和污染物以及氮化合物(如硝酸盐)的不合规率更高。我们还发现,根据每一组污染物,不合规的空间模式不同(例如,微生物违规在西班牙北半部普遍存在)。随机森林模型表明,农业和受限的畜牧业是氮和微生物不达标的原因。气候驱动因素也出现在所有污染物组中,这强调了在个案基础上研究饮用水质量不合规情况的重要性,以便适当适应当地现实并加强西班牙的合规。
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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