Study on the correlation between water conservancy facilities operation efficiency and social demand data
Jiayou Xia1  Liu Yanfang2*

1 Hangzhou Dipont School of Arts and Science，Hangzhou, Zhejiang, China，310000；

2 School of Information Engineering, Qingdao Hengxing University of Science and Technology, Qingdao, Shandong, 266041；

Abstract：Against the backdrop of water resource shortages and evolving water use structures, improving the operating efficiency of water conservancy facilities has become an important direction for optimizing resource allocation. This paper constructs a correlation analysis model driven by social demand data to explore the matching relationship between multiple demands such as population, industry, and ecology and the operating efficiency of facilities. The grey correlation and multiple regression methods are used to construct the correlation structure, and the statistical data of Hefei from 2021 to 2023 are used as an empirical basis to reveal the synchronization between industrial water use and operating energy consumption, as well as the lag between ecological demand and water supply results. Visual analysis further verifies the structural evolution trend of the supply and demand relationship, and based on this, dynamic control strategies such as zoning compensation, load forecasting, and recycled water joint regulation are proposed. The research results show that changes in social demand have become an important variable affecting the operating efficiency of water conservancy facilities, and data-aware flexible scheduling mechanisms will play a key role in future water conservancy systems.

Keywords：water conservancy facility efficiency; social demand structure; grey correlation analysis; matching evaluation; dynamic regulation strategy

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