供水管网水质模型校核面临的问题及对策  

Problems of water quality model calibration in distribution system and the countermeasures

作　　者：舒诗湖[1] 赵明[1] 高金良[1] 何文杰[1,2] 袁一星[1] 

机构地区：[1]哈尔滨工业大学市政环境工程学院,哈尔滨150090 [2]天津自来水集团有限公司,天津300040

出　　处：《哈尔滨工业大学学报》2009年第10期74-77,共4页Journal of Harbin Institute of Technology

基　　金：国家高技术研究发展计划资助项目(2007AA06Z303);国家十一五科技支撑计划项目(2006BAJ08B03)

摘　　要：为解决大规模供水管网系统水质模型校核的难题,分析经验校核与自动校核所面临的问题,提出遗传算法并行化、实测确定模型初始参数、模型参数的有效分组等相应的对策.从而减少模型校核的变量,提高遗传算法运行效率,有效缩短模型自动校核的寻优时间.In order to solve the problem of complicated optimization on water quality model calibration of largescale water distribution systems, problems faced by empirical and automated calibration were analyzed. Countermeasures such as the parallelization of genetic algorithm, the field test of initial model parameters and the grouping of model parameters were presented. Results indicate that these strategies can reduce the variables of model calibration, improve the operating efficiency of genetic algorithms, and reduce the searching time of automated model calibration effectively.

关 键 词：供水管网 水质模型 经验校核 自动校核 

分 类 号：TU991.33[建筑科学—市政工程]