Abstract
Watershed management includes the management of water resources, water environment, and water ecology. The use of intelligent management methods has become a new development trend. Facing the current situation of river basin management in China and the latest management requirements, the positioning of intellectualization in the top-level design of watershed management is clarified. Based on the vulnerability and complexity of ecosystem in small- and medium-sized hydropower-intensive watersheds, the overall framework of intelligent management and decision-making platform is designed, which covers water resource allocation, pollution source analysis, risk early warning, ecological monitoring, industrial access, ecological compensation, public participation, and other functional modules and forms a government–enterprise–society multi-management system.
Highlights
Water resource is the basic condition for human survival and development and is an irreplaceable basic resource
In human development and utilization, due to the small water energy, the installed capacity of hydropower stations in small- and medium-sized watersheds is not large, and most of them exist in cascade hydropower stations, which pose a great threat to the river ecosystem
In terms of water resources, water quality, water ecology, and comprehensive management, and with the existing research results, intelligent decision-making models are embedded in different subsystems to provide necessary theoretical support and technical reference for local and international research of related systems
Summary
Water resource is the basic condition for human survival and development and is an irreplaceable basic resource. In human development and utilization, due to the small water energy, the installed capacity of hydropower stations in small- and medium-sized watersheds is not large, and most of them exist in cascade hydropower stations, which pose a great threat to the river ecosystem. The research on decision-making models and information system construction are independent of each other and have not been integrated, which leads to the application of watershed management system staying in the information display level, lacking comprehensive decision-making function, and the platform is still in the information stage rather than the intelligent stage. In terms of water resources, water quality, water ecology, and comprehensive management, and with the existing research results, intelligent decision-making models are embedded in different subsystems to provide necessary theoretical support and technical reference for local and international research of related systems
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