Exacerbated anthropogenic water pollution under climate change and urbanization

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-03-06 DOI:10.1016/j.watres.2025.123449
Wenyu Yang , Christian Schmidt , Shixue Wu , Ziyong Zhao , Ruifei Li , Zhenyu Wang , Haijun Wang , Pei Hua , Peter Krebs , Jin Zhang
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Abstract

Anthropogenic water pollution severely threatens human society worldwide, yet the water pollution induced by combined sewer overflow (CSO) remains unclear within climate change and urbanization. Hence, this study integrated the general circulation model (GCM) and shared socioeconomic pathway (SSP) projections with water quality modeling, to analyze spatiotemporal patterns and future trends of CSO-induced water pollution under changing environments. Results demonstrated that the given area (Dresden, Germany) encountered significant CSO-induced pollution, with 14,860 kg (95 % confidence interval, CI: 9,040–15,630 kg) of particulate matter (SS), organic compounds (COD, TN, TP), and pharmaceuticals (Carbamazepine, Gabapentin, Ciprofloxacin, Sulfamethoxazole) being discharged annually. Climate change and urbanization exacerbated the severity of CSO-induced pollution, causing the discharged pollutants to reach a maximum annual load of 34,900 kg (CI: 21,400–44,100 kg), with up to 82.19 % of organic compounds and 75.28 % of pharmaceuticals being discharged by the top 25 % of extreme CSOs. GIS-based spatial analysis indicated the regional heterogeneities of CSO-induced pollution, the high-frequency CSOs were predominantly located in highly-impervious areas, while the high-load discharges mainly occurred in densely-populated areas. Scenario analysis revealed stronger temporal variabilities of CSO-induced pollution in the future, with the seasonal anomalies of discharged loads ranging from -86.18 % to 76.89 %. In addition, pharmaceutical pollution exhibited significant uncertainties under changing environments, and the CI of discharged load expanded by up to 131.71 %. The methods and findings herein yielded further insights into water quality management in response to changing environments.

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在气候变化和城市化背景下,人为水污染加剧
人为水污染严重威胁着全球人类社会,但在气候变化和城市化的背景下,复合式污水溢流(CSO)对水污染的影响尚不明确。因此,本研究将大气环流模式(GCM)和共享社会经济路径(SSP)预测与水质模型相结合,分析了变化环境下cso引起的水污染的时空格局和未来趋势。结果表明,给定地区(德国德累斯顿)遭受了严重的cso引起的污染,每年排放14,860 kg(95%置信区间,CI: 9,040-15,630 kg)颗粒物(SS),有机化合物(COD, TN, TP)和药物(卡马西平,加巴喷丁,环丙沙星,磺胺甲新唑)。气候变化和城市化加剧了cso污染的严重程度,导致排放的污染物达到34,900 kg (CI: 21,400-44,100 kg)的最大年负荷,其中排名前25%的极端cso排放的有机化合物高达82.19%,药物高达75.28%。基于gis的空间分析结果表明,cso引起的污染具有区域异质性,高频cso主要分布在高度不透水地区,而高负荷排放主要发生在人口密集地区。情景分析显示,未来大气污染的时间变异性较强,排放负荷的季节异常在-86.18% ~ 76.89%之间。此外,药物污染在变化的环境下表现出显著的不确定性,排放负荷CI扩大至131.71%。本文的方法和研究结果为应对不断变化的环境的水质管理提供了进一步的见解。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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