摘要
为克服水环境管理领域中多目标优化模型加权法求解时主观性强的缺点,将遗传算法与河流水质模拟模型相耦合用于大庆市黎明河生态环境水量优化配置的研究。该模型充分利用遗传算法的开放性和全局搜索的能力,从而得到了较满意的调水方案。对调水方案实施后的河流水质状况进行仿真的结果表明,水质有明显的改善,从而进一步证实了遗传算法应用于城市内河的生态环境水量优化配置的可行性和有效性。
To overcome the subjectivity in solving multi-objective optimization of water environmental management decision-making preference,genetic algorithm(GA) coupling with water quality modelling of rivers was used to allocate optimally environmental water in Liming River-Basin in Daqing,Heilongjiang Province,China.Open and global searching ability of GAS was utilized to obtain the satisfactory scheme of transfering water from the reservoirs or lakes in the river-basin,which was better than the conventional method.From the simulation of water transfering scheme,it was clear that water quality was improved greatly.And the study confirmed further the feasibility and effectivity of GA-based multi-objective optimization to manage urban rivers.
出处
《城市环境与城市生态》
CAS
CSCD
2006年第2期11-13,共3页
Urban Environment & Urban Ecology
基金
国家高技术研究发展计划(2003AA601090)
关键词
遗传算法
水质模拟
优化调度
环境水量
黎明河
genetic algorithm
water quality simulation
optimal allocation
environmental water
Liming river
