TY - JOUR
T1 - Supply Chain Assessment of Water Scarcity and Management Measures in Chinese Cities Based on Water Quantity and Quality
AU - She, Yunlei
AU - Chen, Jiayang
AU - Zhou, Qi
AU - Wei, Siyi
AU - Gong, Mimi
AU - Wang, Qianzi
AU - Yu, Ke
AU - Li, Yuanzhen
AU - Zhao, Yong
AU - Qu, Shen
N1 - Publisher Copyright:
© 2025 American Chemical Society
PY - 2025/10/7
Y1 - 2025/10/7
N2 - 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.
AB - 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.
KW - Multiagent model
KW - Reclaimed water use
KW - South-to-North Water Diversion Project
KW - Water quality constraints
KW - Water quality improvement
KW - Water scarcity
UR - https://www.scopus.com/pages/publications/105017995689
U2 - 10.1021/acs.est.5c07293
DO - 10.1021/acs.est.5c07293
M3 - Article
C2 - 40987574
AN - SCOPUS:105017995689
SN - 0013-936X
VL - 59
SP - 21147
EP - 21159
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 39
ER -