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Water Resources Allocation And Optimization Simulation Of Xinjiang Corps Thirteenth Division

Posted on:2020-10-23Degree:MasterType:Thesis
Country:ChinaCandidate:N L LiFull Text:PDF
GTID:2392330596979095Subject:Water conservancy project
Abstract/Summary:PDF Full Text Request
In recent years, with the rapid development of Chinas economy and socicty and thecontinuous improvement of peoples living standards, the demand for water resources is increasing. However, due to the uneven distribution of water resources, shortage of water resources, serious water pollution and other problems, the contradiction between supply and demand of water resources has become more and more prominent, which has seriously restricted the development of economy and society. The Hami area where the Thirteenth Division is located belongs to the area of extreme water shortage. The contradiction between supply and demand of water resources is extremely prominent. It is particularly important to allocate water resources scientifically and reasonably. Based on the actual situation of the Thirteenth Division and under the premise of total water use control, this paper carries out thend calculation of water resources supply and demand balance in the Thirteenth establishes the multi-objective optimal allocation model of water resources, and carries out the simulation study of water resources allocation in the Thirteenth Division with the support of platform, with a vicw to providing support for water resources allocation and management in the Thirteenth Division. The main contents and achievements of this paper are as follows?(1)The calculation and analysis of the balance between supply and demand of water esources in the Thirteenth Division. According to the present situation of water resources utilization in the thirteenth division, the balance between supply and demand of water resourc in the thirteenth division in the current year is analyzed, and the water demand forecasting and water supply calculation of agricultural, industrial and domestic water resources in different guarantee rates(50%,80%,95%)and different planning years(2020, 2030) are carried out. The balance analysis of supply and demand under two scenarios of considering and not considering the total amount control is carried out. The results of water supply and demand balance analysis under two scenarios are obtained.(2)Study on multi-objective allocation model and optimal allocation of water resources in the Thirteenth Division.According to the management demand of the "three red lines" of water resources in the 13 th division of Hami,Xinjiang,on the premise of total quantity control,and on the basis of the analysis of supply and demand balance,a multi-objective optimal allocation model of water resources considering both economic and social objectives was established.Based on this model,the optimal allocation of water resources in the 13 th division was carried out,and the optimal allocation schemes of water resources in different planning years were obtained.(3)Water resources allocation simulation of the thirteenth division in different time scales.Based on the integrated platform,the water resources allocation management system of the Thirteenth Division is constructed by using component technology,knowledge map visualization technology and database technology.Based on this system,water resources allocation simulation and optimization under different time scales can be realized.The system realizes water resources allocation services of different time scales by adjusting the allocation time through time components.It can display the allocation scheme in various forms(tables,histograms,etc.).At the same time,it can expand according to the actual water resources allocation business needs,and can quickly make corresponding allocation results for other changing conditions.It has strong adaptability,thus realizing certain significance.Dynamic allocation of water resources.
Keywords/Search Tags:Water Resources Allocation, Supply and Demand Balance Analysis, Total Quantity Control, Multi-objective Optimization, The integrated Platform
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