Journal of Yangtze River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (10): 48-55.DOI: 10.11988/ckyyb.20230890

• WATER ENVIRONMENT AND WATER ECOLOGY • Previous Articles     Next Articles

Risk Assessment of Water Pollution Emergencies for Water Diversion Project Based on Cloud Model: A Case Study on Henan Section of the Yangtze River to Huaihe River Diversion Project

CHEN Shu1(), WANG Hui2, ZHANG Tai-he2, FAN Jia-yi2, LIU Shuang2, WANG Jing3   

  1. 1 Hubei Provincial Key Laboratory of Basin Water Resources and Eco-environmental Sciences, Changjiang River Scientific Research Institute,Wuhan 430010,China
    2 Henan Yangtze-to-Huaihe River Water Diversion Co., Ltd., Zhengzhou 450003, China
    3 Hydrology and Water Resources Survey Bureau of Xizang Autonomous Region, Lhasa 850000, China
  • Received:2023-08-18 Revised:2024-03-07 Published:2024-10-25 Online:2024-10-25

Abstract:

Assessing the risks and reducing the hazard level of water pollution emergencies in water diversion projects are of prominent significance to leveraging the benefits of such projects and enhancing regional water supply safety. The Drivers-Pressures-State-Impacts-Responses (DPSIR) model was employed to establish a risk evaluation index system that reflects the characteristics of risk sources and risk receptors. A method of evaluating the risk grades of water pollution emergencies was proposed by utilizing the cloud model to quantitatively assess the risk water pollution emergency in the Henan section of the Yangtze River to Huaihe River Diversion Project. Findings revealed low risks of water pollution emergency in the studied section. Specifically, the risks of two sections were classified as significant (Level II), while five were designated as general (Level IV). These results aligned with qualitative evaluations considering risk source magnitude, risk receptor vulnerability, and risk control effectiveness. Our study offers a novel approach for assessing the risks of water pollution emergencies in water diversion projects and lays a foundation for risk management in the study area.

Key words: water pollution emergency, water diversion project, cloud model, risk assessment, Henan section of the Yangtze River to Huaihe River Diversion Project

CLC Number: