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Multi-objective Water Resources Allocation In Hanjiang River Basin Based On Section Control

Posted on:2014-01-31Degree:DoctorType:Dissertation
Country:ChinaCandidate:S Y LvFull Text:PDF
GTID:1222330398955098Subject:Hydrology and water resources
Abstract/Summary:PDF Full Text Request
Since twenty-first Century, water resources situation in Chinais increasingly serious, through water resources management how to balance these water demands of economic and social development and ecological environment, to support sustainable economic and social development, is a hot issue in the field of water resources research. Taking the most strict water resources management in Hanjiang River Basinas the background, the dissertationdeeply exploresthe multi-objective optimal allocation of water resourcesin Hanjiang River basin and the oriented-ecological operation of Danjiangkou reservoir.The study results will provide a reference for the implementation of River Basin water resources unified allocation, scheduling, management and protection. The dissertation is divided into6chapters.The main contents are as follows:The first chapter discussed the water volume control requirements in the most strict water resources management system.The present researchsituation, existing problems and trends inthe water demand prediction, water resources allocation and water resourcesscheduling were discussed.In the second chapter, for the small sample and complex factorsof long-term water demand prediction, BP network, RBF network and least squares support vector machine model were established. A comparative analysis of the grey GM (1,1) model, BP network model, RBF network model, the least squares support vector machine model and multiple linear regression method were maded from the accuracy and the adaptability.A new time series called equal dimension and newinformation serieswas applied to improve the prediction precision. The combination method of waterdemand prediction was put forward in order to reduce water demand prediction uncertainty.In the third chapter,the relationof the distribution quantityand available quantity of basin water resources was discussed. The results of water available quantityin Hanjiang River Basin by the consumption coefficient method and the reverse deduction method respectively, were compared.In accordance with the control requirement of water available quantity, the simulation model of water resource allocation based onthe control sections of Hanjiang River Basin was established. By using the established model, the amount of resources available in Hanjiang River Basin was calculated. The distribution quantity of eachcontrol section was determined at the same time.In the fourth chapter, according to the most strict water resources management requirements, the important city section, provincial section, water conservancy engineering section, river ecological section were selected as control sections. The Hanjiang River Basin was divided into28subareas. The economic objective was to maximize the GDP of the Basin, The socialobjective and the ecological objectivewere to minimize the economic water shortage and the ecological water shortage,respectively.A multi-objective optimal allocation model of water resources in the Hanjiang River Basin was established. Given the water demand processes outside river of each subarea and the ecological discharge processes in each section, the was solved with NSGA-II algorithm.In the fifth chapter,in view of the Danjiangkou reservoir downstream ecological flow requirement, the idea of setting up the ecological storagewassuggested.The meaning and the scheduling rule of ecological storage were explored.Tennant Method was used to calculate reference values of ecological flow in Xiangyang and Xiantao, two control sections downstream Danjiangkou. Then an optimization model for ecological storage were established based on an integrated consideration of the reservoir’s multi-function, including flood control, ecological water demand, water supply, water transfer, power generation and navigation. Finally, solutions were obtained by integrating Adaptive Genetic Algorithm (AGA) with scheduling simulation technology under the background of four operation rules respectively.The sixth chapter summarized the full text, pointed out the existing problems in the research workand the next research work was prospected.
Keywords/Search Tags:river basin water resources allocation, water volume control, control section, ecological-sound reservoir operation, multi-objective decision, waterdemand prediction
PDF Full Text Request
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