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Optimization Of Green Space Pattern In Wangli Town Based On Ecological Vulnerability Assessment

Posted on:2024-09-01Degree:MasterType:Thesis
Country:ChinaCandidate:H M ZhengFull Text:PDF
GTID:2531307157998749Subject:Master of Landscape Architecture
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Wangli Town is located in Cangnan County,Wenzhou City,Zhejiang Province.As a characteristic reclaimed cotton textile town in Zhejiang Province,it is listed as one of the five industrial and trade towns in Cangnan County.Due to the particularity of reclaimed cotton spinning industry,there have been problems in the past that cotton wool polluted the environment and ignored the ecological environment construction while pursuing economic development.Therefore,based on the theories of landscape architecture,landscape ecology and urban and rural planning,this thesis evaluates and studies the ecological vulnerability of Wangli Town,excavates the influencing factors threatening the health of the town ecosystem,and provides practical theoretical basis for the optimization and construction of its green spatial pattern.Firstly,based on the spatial scale effect theory,the appropriate research scale for the spatial analysis of Wangli Town is determined.Based on the urban ecological vulnerability assessment framework and the conceptual model of SRP,an ecological vulnerability assessment index system was constructed,which included 3 dimensions of sensitivity,resilience and pressure,8 factor layers and 15 index layers.The comprehensive objective weighting method was used to calculate the index weight,and then the correlation analysis of ecological vulnerability in Wangli Town was carried out.At the same time,in order to make the evaluation results better serve the local area,the geographical detector model is used to explore the driving mechanism behind the ecological vulnerability of Wangli Town,so as to explore the leading factors of the town area to represent the ecological vulnerability.Finally,based on the above research conclusions,targeted implementation strategies and schemes are provided for the optimization of green space pattern in Wangli Town,and ecological foundation is laid for improving the urban ecosystem service function and reducing the probability and intensity of regional ecological vulnerability in the future.The main research conclusions are as follows:(1)The suitable analysis granularity range for the landscape level of Wangli Town is 20 m to 40 m.At the level of type,the suitable particle size range for grassland,forest land,and water area analysis is10 m to 60m;Cultivated land,construction land,and unused land are 20 m to 60m;The garden area is 10 m to 40 m.Therefore,after synthesizing the above appropriate granularity domain interval and combining with the landscape area information loss evaluation model,it can be determined that 30 m is the appropriate granularity for subsequent Spatial analysis in Wangli Town.Based on this granularity,using the moving window method and semi variogram method,it was ultimately determined that 300 m is the suitable research range for Wangli Town.(2)Wangli Town’s EVI value ranges from 1.18 to 4.37,and EVSI is 2.20,which belongs to the moderately vulnerable type.From the perspective of area proportion,the overall space of the town is mainly potential and slightly vulnerable areas,accounting for 68% of the town area,mainly located in the mountains on the south and west sides of Wangli Town.The moderately vulnerable areas accounted for13% of the total area,mainly distributed in the vicinity of several rural settlements bordering mountainous areas The area of highly and severely vulnerable area accounts for 19% in total,mainly concentrated in the northeast construction land of the town.(3)The ecological vulnerability in Wangli Town has a significant cluster phenomenon,in which the area with good ecological status has the most significant aggregation,and the spatial differentiation between the high value cluster and the low value cluster is obvious.Secondly,through the analysis of the differentiation characteristics of ecological vulnerability in the study area,it is found that the ecological vulnerability of Wangli Town shows a decreasing trend with the increase of elevation.For the different administrative divisions within the town,the ecological vulnerability of Luocuo,Ma ’an and Nan chaoliao with better economic development is higher,while the ecological vulnerability of sacred mountain,Hufa Temple and Xitou port with better ecological background conditions is relatively lower.(4)According to the calculation results of geographical detectors,the three strongest driving factors for ecological vulnerability in Wangli Town belong to the pressure element layer.Among them,population kernel density has the highest driving force as a single influencing factor,and its influence further increases after interacting with other types of factors.This indicates that high population aggregation has a significant impact on the ecological vulnerability of Wangli Town,and this is also the core reason for the moderate vulnerability of Wangli Town’s ecological vulnerability.Although the driving force of industrial interference on ecological vulnerability also accounts for a large proportion,its driving force far does not exceed the pressure and coercion brought about by population aggregation.In addition,through interaction detection analysis,it can be seen that the influence of all indicator factors in the ecological vulnerability evaluation index system of Wangli Town after pairwise interaction is greater than that of a single indicator factor.(5)Based on the ecological vulnerability assessment results and driving mechanism research conclusions of Wangli Town obtained from the study of spatial scale effects,the approach to optimizing the green spatial pattern of Wangli Town is divided into two dimensions: overall and zoning,and corresponding optimization strategies and implementation plans are proposed.Firstly,propose optimization and control strategies for the overall green spatial pattern of Wangli Town from three aspects:reducing sensitivity,improving resilience,and reducing pressure,and propose corresponding optimization plans based on the current resource situation of the town.Secondly,corresponding optimization methods are proposed for the main types of green spaces in different ecologically fragile areas,providing spatial guidance for Wangli Town to achieve green and sustainable development in the future.
Keywords/Search Tags:Spatial scale effect, Ecological vulnerability assessment, Geographic detector, Green spatial pattern, Wangli town
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