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Research On The Optimization Of Schemes Of Water Pollution Control System Planning Of Luanhe River And Douhe River In Tangshan City

Posted on:2007-10-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y XiFull Text:PDF
GTID:2121360185986378Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
Since 1990s, Luanhe River and Douhe River of Tangshan City have been increasingly polluted and ecological environment in this area has been steadily deteriorated. During the research, Luanhe River and Douhe River pollution controlling system have been taken as a whole, aims at analyzing and coordinating relationship in composition factors of control system of water pollution with idea and method of system engineering in order to gain effective or satisfied water quality with smaller cost and finds the best execute program.In this paper, calculation method of area optimum planning model in water pollution controlling system is studied deeply. This model is a non-linear programming model and it's more variable and restriction, this paper uses Genetic Algorithms (GA) to solve the model. GA is a random optimization method based on natural selection theory and natural genetic mechanics. Its basic idea to solve optimization issue is to use creature's adaptability to denote the object function and use individual of population to denote solution of issue. Newer population is generated from current population by copying, crossing and variation. This process is duplicated constantly until the best individual which represents the best solution of optimization issue is gained. In theory, GA can gain global optimum solution in a certain condition but always traps in deadlock after gaining local optimum solution, which is called as early mature. This paper improves Simple Genetic Algorithm (SGA) to optimization layout of water pollution control system of Luanhe River and Douhe River of Tangshan city against problem mentioned above. The result that improved GA improves early mature phenomenon of standard GA and owns better global searching ability indicated that improved GA is a feasible optimization method of control system of water pollution in theory with profound researching and development value.In the end of the paper, on the basis of the optimization projects of Luanhe River and Douhe River with improved Genetic Algorithm, the sewage disposal factories into which industry and municipal sewage letting are definitive. The research result of the paper may provide technical support for some departments of Tangshan City to make city planning, set down water pollution control plans of Luanhe River and Douhe River. Also, the result may have certain reference value for optimum planning of water pollution control system in other watersheds.
Keywords/Search Tags:water pollution control system planning, area optimum planning model, simple Genetic Algorithm, improved Genetic Algorithm
PDF Full Text Request
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