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Development of Water Resources Decision Support System - a Case Study of Yangtze River Main Stream Reservoirs Group

Author(s): Keyan Shen; Hui Cao; Xu Yang; Zheng Zhang

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Keywords: Water Resources; Comprehensive Utilization; Decision Support System; Cascaded Reservoirs

Abstract: Water is a fundamental material resource on which human beings depend for survival and development. The optimal and comprehensive utilization of water resources to meet the needs of all sectors of society for flood control, power generation, shipping, ecology, and other requirements represents a consensus issue that is seeking a breakthrough in the field of water resources on a global scale. The rationality of water resources comprehensive utilization decision-making is affected by the quality of hydrological, meteorological and other relevant information, as well as by the constraints of basin water resources scheduling management, information processing systems and other management behaviors. This results in complex boundary conditions for decision-making, which makes it extremely difficult to make rational decisions efficiently. The advent of computer technology has enabled the development of a water resources decision support system (WRDSS), which can significantly enhance the efficiency and rationality of decision-making. Taking the Yangtze River Main Stream Reservoirs Group Water Resources Decision Support System as an example. The system development is presented in terms of the following aspects: data collection and storage, system architecture, visualization and interaction design, and system function integration. The Yangtze River Main Stream Reservoirs Group is the core project for the development and management of the Yangtze River, and is responsible for comprehensive tasks of flood control, power generation, shipping and ecological protection. The system optimizes the water resources scheduling management workflow, realizes efficient and unified management of water resources, and is a successful example of the development of WRDSS.

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Year: 2024

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