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Study On Key Technologies Of Water Resources Optimal Operation In Yuyao City

Posted on:2013-06-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:S G YeFull Text:PDF
GTID:1222330395499003Subject:Hydrology and water resources
Abstract/Summary:PDF Full Text Request
Althouhg water resources are relatively rich in the southeastern costal area of China, the water resource quantity per capita is low due to high population density in the area. In addition, the water environment was polluted with the development of the local economy, resulting in pollution-induced water shortage in all of the16cities in Yangtze River Delta. The paper analysed the the research status and development trends in the area of reservoirs joint optimizing operation and water quality modeling for river networks. Taking Yuyao city—one of the Top100Counties in China, as the research background, the paper studied the reservoirs optimal operation model trying to solve the problem of high quality water shortage, proposed water quality improvement programmes for river networks, calculated the water environment capacity of the river networks in the research area through stuying and application of river flow and quality modeling, in order to conduct the optimal distribution of water resources in the city. The main research contents are as follows:(1) On the basis of analysis to the basic condition of the water resource in Yuyao City, pointed out the main problems of the water resources system and the research necessity of water resources optimal operation in the research area, stuyed the feasibility to carry out the optimal operation programme in Yuyao City.(2) Studied the methodologies of optimal operation for two-reservoir groups. Taking "Lubu-Lianghui" and "Siminghu-Moshan" reservoir groups as study cases, the author studed the optimal operation problems of the reservoir groups under the working conditions of current engineering capacity restraints and removing the current restraints with various optimization algorithms gradually. A new optimization algorithm, i. e. the improved particle swarm arithmetic combined with prograsive optimal algorithm, was proposed and proved to be practical and effective.(3) Studied the methodologies of joint optimal operation for reservoir groups. Firstly, studied reservoirs joint optimizing operation problems of different areas in Yuyao City under the working conditions with and without current engineering restraints with the help of large scale system decomposition and coordination method. Secondly, researched and obtained the operation rules for each reservoir by using the inverse timing recursive of self-optimization simulation model according to the water demands of each reservoir. Finally, verified the operation condition under the proposed operation rules by using long series inflow data created by the stochastic simulation technique.(4) Studied the water quality modolling methodologies for plain river networks. Firstly, the author studied the box model for marco-management of water environment of the river networks, and one-dimensional river flow and water quality coupling model for the specific management of water quality of the rivers. Secondly, proposed water quality improvement programmes and measures for the river networks by using the two modeling technologies. Finally, calculated and analyzed the water environment capacity and the remaining water environment capacity of each river networks of Yuyao City.(5) Designed and developed the decision support system of water resources optimal operation for Yuyao City by integrating the reservoirs joint optimizing operation methodologies, reservoir optimizing operation rules and the water quality modeling techniques.At last, the author summarized the full text, and prospected the problems for further research in the future.
Keywords/Search Tags:Reservoirs joint optimizing operation, River network water quality model, PSO, Large-scale system decomposition and coordination model, Box model, One-dimensionalriver network flow and water quality coupling model
PDF Full Text Request
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