Font Size: a A A

Evaluation And Analysis Of Resources And Environment Carrying Capacity Based On Remote Sensing Data:

Posted on:2020-07-10Degree:MasterType:Thesis
Country:ChinaCandidate:Z X YanFull Text:PDF
GTID:2370330572488310Subject:Urban and Regional Planning
Abstract/Summary:PDF Full Text Request
Since the reform and opening-up 40 years ago,the problems of resource exhaustion,environmental pollution and ecological destruction,accompanied by industrialization and urbanization,had seriously endangered human interests.As a basis of ecological civilization construction and national land space optimization,the resources and environment carrying capacity had become a research hotspot in the field of urban planning.Current research mostly used statistical data within administrative divisions as data sources,and the considerations of dynamic and systematic of urban ecosystems were relatively lacking.This paper took Xiamen City as a case study and took Landsat series remote sensing images and MODIS data products as data sources.Then,based on RS and GIS technology,by introducing PSR model framework,scientifically selected the first-hand information elements which could be obtained through remote sensing images as comprehensive evaluation indicators,and used the entropy weight method to determine the weight of each indicator.Thus,an evaluation method of resources and environment carrying capacity based on remote sensing data was constructed.This paper analyzed the spatial distribution differences of the carrying capacity of resources and environment.By calculated the carrying capacity of resources and environment based on multi-temporal remote sensing data,the spatial and temporal evolution analysis was carried out to explore the carrying capacity of resources and environment accompanied by the urban development of Xiamen in recent years.By introducing the coupling coordination degree model,the coupling coordination relationship between the carrying capacity of resources and environment and population density in Xiamen is explored.Accordingly,the corresponding optimization strategies were put forward,and the relationship between the carrying capacity of resources and environment and the spatial planning of national land was discussed,in order to provide a reference for the construction of ecological civilization and sustainable development in Xiamen and the future research and development of the carrying capacity of resources and environment.Conclusions were drawn as follows:(1)It was feasible to evaluate the carrying capacity of resources and environment based on remote sensing data.(2)Through the empirical analysis of the carrying capacity of resources and environment in Xiamen,the spatial distribution of the resources and environment carrying capacity in Xiamen was significantly different,which was mainly manifested by the high carrying capacity of resources and environment in construction land and the low carrying capacity of it in arable land and forest land;the overall carrying capacity of resources and environment in Xiamen from 2000 to 2018 showed a decreasing trend first,then rising,as the planning and policy implementation in different periods had a significant impact on this.The proportion of resources and environmental carrying capacity of arable land,forest land and water ecosystem at all levels was more volatile than that of construction land,which was vulnerable to complex external factors.(3)The coupling and coordinating relationship between the carrying capacity of resources and environment and population density still had potential.(4)The optimization strategies were proposed from three aspects:classification promotion of patch scale,zoning optimization of street town unit and relationship coordination of coupling and matching.We should adhere to the principle of ecological priority,take sustainable development as the planning objective,and strengthen the basic role of carrying capacity of resources and environment in national land spatial planning.
Keywords/Search Tags:remote sensing, resources and environment carrying capacity, ecosystem, PSR model, coupling coordination degree, Xiamen
PDF Full Text Request
Related items