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The Ecological Space Pattern Identification,Evaluation And Optimization Strategy Of The Wuhan Urban Agglomeration

Posted on:2018-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:X J CuiFull Text:PDF
GTID:2382330569975239Subject:Urban and rural planning
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Based on the ecological space of Wuhan city circle,this paper systematically studies the relationship between land development and ecological protection,the gap between construction and real demand,and the influence of national and regional policies on the construction of "big ecology" in Wuhan city circle Reality.Based on the relevant GIS data,this paper tries to describe the Wuhan City Circle through the combination of theoretical analysis and empirical research,quantitative and qualitative analysis,comprehensive induction and so on through the research of "situational awareness-pattern recognition-evaluation analysis-optimization strategy" Ecological space development,identify the characteristics of the framework of ecological space,evaluate the importance of the development of ecological space pattern,and summarize the optimization strategy of ecological spatial pattern of Wuhan city circle.This paper is divided into four parts.The first part is the development trend of ecological space in Wuhan city circle.Based on the data of land use GIS in Wuhan city circle from 2000 to 2010,this paper uses the classification comparison and comprehensive analysis method to summarize that the ecological space of Wuhan city circle is squeezed and the total amount of ecological land is declining.,The ecological development of the main fluctuations in the development trend.The second part is the identification of ecological pattern of Wuhan city circle.Based on the minimum cost distance model,the gravitational model was used to identify 169 nodes,which were identified by the classification criteria of node node classification.Based on the identification of the three nodes of the ecological space pattern of "node-corridor-matrix" Ecological ecological corridor,and the ecological matrix space composed of ecological farmland,ecological green land and ecological wetland is identified according to the classification of ecological space land.And summarizes and draws the present situation of ecological spatial pattern of Wuhan city circle.The third part is based on the "element-the whole" level of Wuhan urban agglomeration ecological spatial pattern evaluation.Based on the theory of ecological connectivity,the ecological node and corridor within the study area were evaluated by using the ? rate of change index,the centroid index,the proximity index and the ?,?,? index,and the ecological node center And the distribution index of the ecological matrix space was constructed from the five dimensions of land cover,topographic elevation,hydrological condition,landscape value and vegetation coverage.Based on the AHP analytic hierarchy process and the AHP analytic hierarchy process,Delphi method has the characteristics of good ecological basis and uneven distribution.The paper puts forward that the distribution model of the node is not yet formed,the corridor "flow" effect is insufficient,the ecological land is not balanced,and the eco-spatial pattern of the Wuhan city circle "area,eight nucleus and net corridor" is obtained.And so on to restrict the healthy development of ecological space.The fourth part is the optimization of the ecological pattern of Wuhan city circle.The optimization strategy of ecological spatial pattern is expounded from two aspects: structural element optimization and comprehensive framework optimization.From the hierarchical protection,increase the stepping stone nodes to patch optimization;from the enhanced "node-flow" effect,improve the network integrity of the corridor optimization;from the delineation of the bottom buffer,the implementation of classification optimization matrix optimization;Urban ecology spatial spatial pattern comprehensive optimization framework,and to optimize the development of zoning guidelines.
Keywords/Search Tags:Wuhan urban agglomeration, Ecological spatial pattern, Identification, Evaluation, Optimization strategy
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