Font Size: a A A

Research On Complexity Measurement And Adaptive Configuration Mode Of Regional Water Resources System Based On Entropy Theory

Posted on:2020-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:J Y ChanFull Text:PDF
GTID:2392330575990033Subject:Agricultural Soil and Water Engineering
Abstract/Summary:PDF Full Text Request
In the complexity measurement of key elements of water resources system,this paper selects a variety of entropy theory methods for optimal model comparison and analysis of different hydrological elements.For example,select ITD-MFE,wavelet entropy and the monthly precipitation sequence in Harbin.Sample entropy is used to measure the complexity measure.The monthly runoff sequence selects ITD-PE,wavelet entropy and sample entropy for complexity measurement analysis.For the monthly evaporative sequence,ITD-IE,wavelet entropy and sample entropy are selected for complexity measurement.analysis.The multi-entropy theory method is used to draw the spatial distribution map of the complexity level of hydrological elements,and the measurement effects of different entropy theory algorithms under each element are compared and analyzed,and then the optimal entropy theory method for hydrological element complexity measurement is determined.The main conclusions of this study are:(1)The ITD-MFE algorithm has the greatest advantage in the precipitation sequence;the ITD-PE algorithm has the greatest advantage in the runoff sequence complexity measure and the ITD-IE algorithm has the greatest advantage in the evaporation sequence complexity measure.According to the complexity distribution of hydrological elements in Harbin,the precipitation complexity in the western region is lower than that in the eastern region.Among them,Yanshou County has the highest precipitation complexity and the lowest predictability.As can be seen from the whole,the spatial complexity of monthly precipitation shows a trend of high east and low west.Through runoff analysis,the complexity of the runoff series in the Songhua River Basin is relatively low,decreasing from upstream to downstream;the difference between the stations of the Yak River is not large,and the complexity of the large roller is the lowest,while the complexity of the runoff is relatively The lower basins are: Ash River,Balan River,Lalin River,Ant River;the monthly complexity of the runoff is the Yulin River and the Lalin River.The city with the highest complexity of evaporation sequence is located in the eastern part of Wuchang City;the area with relatively low evaporation complexity is the north central an d northeastern regions.Overall,the spatial complexity of monthly evaporation shows a trend of high west and low east.(2)Using principal component analysis to analyze the driving mechanism of water resources complexity in Harbin and obtain the main influencing factors.Through the comparison of the complexity comprehensive measurement level and the driving index level,it is found that: Shuangcheng,Founder,Yilan,Bayan,Mulan and The grade index and complexity level of the Yanshou region are consistent,indicating that its driving factors have a great impact on the complexity of water resources;the Tonghe,Wuchang and urban levels differ by one level,which has a certain impact on the complexity of water resources;Shangzhi and Binxian grades The difference between the two levels indicates that the impact of water resources complexity is weak.(3)Using the multi-objective water resources optimization allocation model to optimize the allocation of water resources in Harbin,according to the comprehensive measurement level of complexity,rational allocation of water resources and water resources in 2020 and 2030,forecasting the supply and demand water using the quota method,and then based on fireflies...
Keywords/Search Tags:Entropy theory, Water resources system, complexity, driving mechanism, optimal configuration
PDF Full Text Request
Related items