Study On Multi-objective Optimization Design For City Storm Water Network Based On GIS

With the acceleration of urbanization process,rainwater pipe networks continue to scale up,management of which becoming more difficult,and security requirements are also getting higher.Many cities in China suffer from varying degrees of waterlogging in flood season.As an important component of urban drainage system,rainwater pipe networks take responsibility for excluding rainwater in the city.Therefore,study on design of an economical,secure and reliable rainwater pipe network system is of great significance.Firstly in this paper,rainwater pipe network database system is introduced.The spatial data and attribute data of rainwater pipe network are stored and managed by GIS.With four function modules,which are graphical interface management,network management,data analysis and optimization design,been realized,reliable data can be provided for establishing hydraulic model of rainwater pipe network and solving multi-objective optimization model of the network.Secondly,this study establishes a multi-objective optimization model of rainwater pipe networks based on its annual cost,vulnerability and the volume of overflow.The annual cost of rainwater pipe networks represents its economy,vulnerability indicates its hydraulic performance,and the volume of overflow shows the situation of urban waterlogging.The vulnerability and volume of overflow is constrained using constraint method and the problem is solved by genetic algorithm.Finally,the multi-objective optimization model in this paper is applied to a practical example,and the optimization calculation program is written in MATLAB language.Compared with conventional designed ones,the results of the case study suggest that this design method is obviously better than the traditional one in terms of the cost,risk resistance and drainage,which fully illustrates that the model is practical and effective in the design for rainwater pipe network.