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Research on Data-Driven Environmental Policy in Water Resource Management

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  • Li, Bin

Abstract

In the face of global water scarcity and environmental challenges, improving the efficient management and sustainable utilization of water resources has become a core issue for governments and research departments around the world. This study uses a data-driven approach to explore how advanced data technologies can enhance the efficiency of water resource management, as well as improve the accuracy and execution of environmental strategies. This article first reviews the shortcomings of traditional water resource management methods, such as strong reliance on experience, limitations of manual forecasting, difficulties in data integration, and low efficiency in policy implementation. A data-driven water resource management model has been proposed, which utilizes precise prediction, digital transformation, and intelligent management to optimize the allocation, scheduling, and protection processes of water resources.

Suggested Citation

  • Li, Bin, 2025. "Research on Data-Driven Environmental Policy in Water Resource Management," European Journal of Public Health and Environmental Research, Pinnacle Academic Press, vol. 1(1), pages 101-107.
    • Handle: RePEc:dba:ejpher:v:1:y:2025:i:1:p:101-107
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