Na Zhou1*, Moyuan Yang1, Yuhang Liang1, Juan Zhang1
1 Beijing Water Science Technology Institute, Beijing, 100048
In order to respond to the requirements of the Ministry of Water Resources, which issued the document "Notice of the Ministry of Water Resources on the Issuance of Water Resources Scheduling Management Measures" (No. 314, 2021), and to further improve the refined scheduling of water resources under the demand of Beijing's smart water construction, and to support the city's water resources scheduling under new situations such as "five water transfers", cross-basin, and multi-target. This study aims to explore the construction of a technical method to evaluate the scheduling effect with practical significance and to support the optimization of water resources scheduling. Based on the massive data, related information and key parameters, the research utilizes GIS, knowledge mapping and other technical methods, and on the basis of systematic analysis of water resources dispatch management business processes, it clarifies the feedback mechanism of the whole chain of "generation-conduction-execution-feedback" around water resources dispatch business flow, and builds a whole chain of water resources dispatch management business chain that covers the whole object and focuses on the whole link. We have built a closed-loop management business chain for water resources dispatching, and completed the construction of a knowledge map covering all objects of water resources dispatching management. The "six-dimensional" scheduling effect evaluation index system (plan implementation, water supply security, water system connectivity, water conservation, ecological restoration, water quality improvement) has been constructed from the actual needs of water resources scheduling management, and the technical methods such as Topsis and barrier degree model have been used to complete the evaluation of the effect of water replenishment in the Yongding River since 2019. The evaluation of the effect of the Yongding River water replenishment implementation was completed, and the key factors affecting the ecological scheduling water replenishment effect were identified as groundwater level rebound, submerged plants and algae diversity. The project results supported the release of the "Beijing Water Resources Scheduling Implementation Management Rules".