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Study On Optimal Allocation Of Yulin Water Resources Based On Genetic Algorithms

Posted on:2009-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:C F ZhangFull Text:PDF
GTID:2132360245450904Subject:Agricultural Soil and Water Engineering
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Water resources,as the source of life, is a necessary material foundation for the mankind survival and society development, an indispensable and basic natural resource, a strategic economic resources, and and occupy to the important position in the national economic systems.With the increase of population and accelerating, the demand for the water will increase continuously and hugely on the quality and quantity.The problem of shortage of water resources caused the dispute more obviously between differnet countries, regions, departments and population.It also sharpened contradiction between water supply and water requirement ,which becomes one of the key obstacles of society sustainable and healthy development How to allocate limited water water resources effectively? So that we can make the alloction more effective, fair and reasonable, and improve the utlilization ration furthest, get optimal benefits. This problems has been a chief problem.The optimal allocation theories and methods of water resources in a worldwide were analyzed in this article. A model of optimal allocation water resources was established based on genetic algorithms(GA). Yulin, a city of Shaanxi province, China, was study as a sample and got following results:1.In order to maximize the integrated benefits of economy, society and environment,an optimal allocation model of regional water resources was established according to actual circumstance of Yuling's society, economy and water resources,by means of C program. This model was made based on high system global optimization algorithm. The model can also keep regional economy and ecology coordinated.2.The couse of shortage and coordination degree of water resources were analyzed.[1] The water supply and requirement of Yuling will reach a rough balance in the future according to the overall condtions. But there will be shortage to industrial sector and agricultural sector in the year 2030, and it will be more seriously in 2030 than 2010. According to the Yulin's water resources planning, this city can get designed water from Yellow River Diversion Project (YRDP). The requiremet will be lower than the supply. In fact, it is difficult to get the designed water in 2010, there will be a shortage of water. But the shortage will not serious than 2030. In 2030, the requirement will increased greatly with the development of economy and society, the shortage will be sharped, especially in industrial sector and agricultural sector.[2] In 2010, the planning level year, when the guarantee rate increase from 50% to 75%, the net benefit of water supply will decrease, and total COD discharge quantity will decrease in Yulin. In 2030, when the guarantee rate increase from 75% to 90%, the net benefit of water supply will increase, water deficiencies will decrease,but total COD discharge quantity also increase. That mean when we get a benefit(for example net benefit increasing, water deficiencies decreasing ), we have to lose a benefit (for example COD increasing). All of these show the conflict and competition among net benefits of water supply, water dificiencies and COD discharge quantity. Compare with 2010, in 2030, the target value of net benefits of water supply, water dificiencies and COD discharge quantity will increase, but keep samilar competition trait. These are the characteristic and law of multi-objective optimization.[3] The optimal water allocation must fowoll the coordination principle of economy and ecology. Not only the comprehensive benefit is best, but also the development of reginal resources, invornment and economy is coordinative. The development of reginal resources, invornment and economy will be coordinative when the synthetic coordinate degree (μ) is above 0.85.3.In this article, Yuling was taken as the research object to establish the model of optimal regional water resources allocation.And, the parameters of this model was got according to the status of water supply and requirement on two level years (2010, 2030 )and three guarantee rate (50%, 75%, 95%). The multi-objective global optimization GA was used for solving by means of C program. The practical application effect of GA on optimal water allocation was studied.Balance analysis, optimal allocation goal and effect analysis and system coordinative development analysis were done to bring out solving measures and methods of water deficit.The result show that the model is reasonable, the arithmetic is effective. This allocation model and results include a idea of sustainable development, applicability and maeuverability, can be used as decision basis of planning of regional water resources sustainable utilization.
Keywords/Search Tags:water resources, optimal allocation/optimization, multi-objective, large-scale system, Genetic Algorithms
PDF Full Text Request
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