城市原水系统调度研究与应用综述

从城市原水系统调度的理论研究、软件开发和工程实践三方面，回顾了国内外城市原水系统调度的研究进展；探讨了原水调度与水资源配置和水库群调度的区别，分析了模拟调度和优化调度的优势和不足，归纳了智能调度的技术要点并总结其在原水公司中的实际应用；介绍了常用原水调度仿真软件的计算机制和特点，分析了智能调度软件开发中决策支持系统的应用途径；通过国内外规模各异的城市原水系统调度工程案例分析了原水调度在合理利用水资源、提高供水效率、应对突发事件等方面的实际价值。指出未来的研究方向包括：加强城市原水系统智能调度理论研究，构建适用面广、可操作性强的城市原水智能调度系统；提高城市原水系统调度目标的预测精度与时效性；建立科学的城市原水系统应急调度预案库；形成满足生态与发展需求的城市原水系统调度评价体系。

Review of research and application on urban raw water system scheduling

The research progress of urban raw water system scheduling was reviewed both domestically and internationally from three aspects, including theoretical research, software development and engineering practice. The differences between raw water scheduling and water resource allocation as well as reservoir group scheduling were discussed, the advantages and disadvantages of simulation scheduling and optimization scheduling were analyzed, and the development of intelligent scheduling technologies and corresponding application in raw water companies were summarized. The characteristics of simulation software and decision support systems in the field of raw water scheduling were introduced and the application approach of decision support system in intelligent scheduling software development was analyzed. Through analyzing engineering cases of urban raw water systems of various scales domestically and internationally, the practical value of raw water scheduling was analyzed in the aspects of rational use of water resources, improving water supply efficiency and responding to emergencies. It is pointed out that future research directions include strengthening theoretical research on intelligent scheduling of urban raw water systems, establishing urban raw water intelligent scheduling systems with wide applicability and strong operability, improving the prediction accuracy and timeliness of scheduling targets for urban raw water systems, establishing a scientific library of emergency scheduling plans for urban raw water systems, and forming an evaluation system for urban raw water system scheduling that meets ecological and development needs.