Supply Chain Assessment of Water Scarcity and Management Measures in Chinese Cities Based on Water Quantity and Quality

China is facing the dual pressure of water scarcity, in terms of both quantity and quality. Existing studies often ignore the monthly variation in water quality and lack an integrated prefectural-level assessment of quantity-quality-environmental flow requirement (EFR) water scarcity. Moreover, conventional methods for estimating water scarcity risk depend on subjective assumptions and ignore adaptive behaviors, limiting accuracy. This study developed a multiagent complex network model integrating monthly data on water quality from 3,646 national monitoring stations, municipal water use inventories, and EFR constraints to assess water scarcity-induced supply chain losses. Findings show that incorporating water quality restrictions increases water-scarce cities from 81 to 89, the shortage volume by 17.7%, and losses by 5%. Several cities, such as Lanzhou, Shanghai, Zhengzhou, and Taiyuan, have experienced a localized water scarcity with significant impacts. Water quality-related losses are concentrated in the industrialized northern plains. We evaluated three management strategies: water quality improvement, reclaimed water use, and the Water Diversion Project. Their combined implementation reduced water scarcity in 62 cities and generated benefits of 39-40.7 billion Chinese Yuan. This study quantifies the impacts of water scarcity on cross-regional and cross-sectoral supply chains and provides essential evidence for guiding sustainable and resilient water management.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-09-23
DOI
https://doi.org/10.1021/acs.est.5c07293
Primary Topic
Water Quality and Pollution Assessment
Type
article
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article

Supply Chain Assessment of Water Scarcity and Management Measures in Chinese Cities Based on Water Quantity and Quality

Mimi Gong, Qi Zhou, Shen Qu, Jia-Yang Chen et al.
Environmental Science & Technology
Water Quality and Pollution Assessment
article

Supply Chain Assessment of Water Scarcity and Management Measures in Chinese Cities Based on Water Quantity and Quality

Mimi Gong, Qi Zhou, Shen Qu, Jia-Yang Chen, Yong Zhao, Siyi Wei, Yuanzhen Li, Qianzi Wang, Yunlei She, Ke Yu
article en

Abstract

China is facing the dual pressure of water scarcity, in terms of both quantity and quality. Existing studies often ignore the monthly variation in water quality and lack an integrated prefectural-level assessment of quantity-quality-environmental flow requirement (EFR) water scarcity. Moreover, conventional methods for estimating water scarcity risk depend on subjective assumptions and ignore adaptive behaviors, limiting accuracy. This study developed a multiagent complex network model integrating monthly data on water quality from 3,646 national monitoring stations, municipal water use inventories, and EFR constraints to assess water scarcity-induced supply chain losses. Findings show that incorporating water quality restrictions increases water-scarce cities from 81 to 89, the shortage volume by 17.7%, and losses by 5%. Several cities, such as Lanzhou, Shanghai, Zhengzhou, and Taiyuan, have experienced a localized water scarcity with significant impacts. Water quality-related losses are concentrated in the industrialized northern plains. We evaluated three management strategies: water quality improvement, reclaimed water use, and the Water Diversion Project. Their combined implementation reduced water scarcity in 62 cities and generated benefits of 39-40.7 billion Chinese Yuan. This study quantifies the impacts of water scarcity on cross-regional and cross-sectoral supply chains and provides essential evidence for guiding sustainable and resilient water management.

Environmental Science & TechnologyVol. 59(39)
Beijing Institute of Technology (CN), Beijing Normal University (CN), China University of Mining and Technology (CN), China Institute of Water Resources and Hydropower Research (CN), Center For Policy Research (US), Carbon180 (US), Environmental Energy & Engineering (US)
Openalex Percentile: Top 76%
Water Quality and Pollution Assessment
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