Spatiotemporal distribution of ecological risk of antibiotics in seven major river basins of China: An optimized multilevel assessment approach

Antibiotics have been recognized as emerging pollutants due to their ecological and human health risks. This paper aims to enhance the ecological risk assessment (ERA) framework for antibiotics, to illustrate the distribution of these risks across different locations and seasons, and to identify the...

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Bibliographic Details
Published in:Water science and technology 2024-04, Vol.89 (8), p.2035-2043
Main Authors: Liu, Wei, Zhou, Chunsheng, Wang, Xiangfei, Bai, Xiulian, Ren, Yazhe
Format: Article
Language:English
Subjects:
Anti-Bacterial Agents - analysis
Antibiotics
Basins
China
Ecological risk assessment
Environmental monitoring
Environmental Monitoring - methods
Health risks
Multilevel
Pollutants
Risk Assessment
Risk management
River basins
Rivers
Rivers - chemistry
Seasons
Spatial distribution
Spatio-Temporal Analysis
spatiotemporal distribution
Surface water
Temporal distribution
Temporal variations
Toxicity
Water Pollutants, Chemical - analysis
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Summary:Antibiotics have been recognized as emerging pollutants due to their ecological and human health risks. This paper aims to enhance the ecological risk assessment (ERA) framework for antibiotics, to illustrate the distribution of these risks across different locations and seasons, and to identify the antibiotics that pose high ecological risk. This paper focuses on 52 antibiotics in seven major basins of China. Relying on the optimized approach of ERA and antibiotic monitoring data published from 2017 to 2021, the results of ERA are presented in multilevel. Across the study area, there are marked variations in the spatial distribution of antibiotics' ecological risks. The Huaihe River Basin, the Haihe River Basin, and the Liaohe River Basin are the top three in the ranking of present ecological risks. The research results also reveal significant differences in temporal variation, underscoring the need for increased attention during certain seasons. Ten antibiotics with high contribution rates to ecological risk are identified, which is an important reference to formulate an antibiotic control list. The multilevel results provided both risk values and their ubiquities across a broad study region, which is a powerful support for developing ecological risk management of antibiotics.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2024.100