Evaluation of Groundwater Carrying Capacity in Irrigation District Using Improved PSO algorithm

摘要：

Although there are many methods or models widely applied to evaluate water resources carrying capacity, the evaluation result is qualitative not quantitative. In order to quantificationally evaluate groundwater carrying capacity in irrigation district, multi-objective evaluation model of groundwater carrying capacity was established, which includes four objectives, i.e., GDP, grain yield, population and COD emissions. The multi-objectives model can factually describe groundwater carrying capacity for social economy subsystem and ecological environment subsystem in irrigation district. Thc improved Particle Swarm Optimization (PSO) algorithm was built and adopted to solving the groundwater carrying capacity multi-objective model. In the improve PSO algorithm, linear inertia weight and chaos variation operator are employed to improve basic algorithm global searching capacity. The model was applied to quantificationally evaluate groundwater carrying capacity of Peoples Victory Canal irrigation district in current year and in 2010 level year.

关键词： groundwater carrying capacity multi-objective model Particle Swarm Optimization algorithm linear inertia weight chaos variation operator

作者: CHEN Nanxiang QU Jihong YANG LI

作者单位: North China University of Water Conversancy and Hydroelectric Power Zhengzhou,450011 China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 56-59

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）