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- Title
西安市主城区土地利用时空变化及驱动力分析.
- Authors
袁梦雨; 李金玺; 曾璐; 蔡鸿燕; 华天
- Abstract
With the acceleration of urbanization and the continuous growth of population, the rapid change of land use has brought great challenges to the urban ecosystem and residents' living standards. Therefore, it is particularly urgent to study the driving force of land use analysis. Taking Landsat 8 remote sensing images of 2013, 2016, and 2019 as data sources, and relying on GIS spatial analysis and RS technology to carry out dynamic analysis of land-use change in Xi'an urban area, the evolution of urban landscape pattern in Xi'an City was quantitatively analyzed from the perspective of landscape pattern, and the influence of driving factors on land use degree was quantitatively analyzed by using a geographic detector model. The results show these as follows. Building is the main land use in the central urban area of Xi'an City. In the past six years, the green land area in the six central urban areas of Xi'an decreased first and then increased, the building area increased first and then decreased slightly as well, while the cultivated land area and water area didn't change much. The number of greenbelt patches increased year by year, while the number of building land patches decreases continuously, indicating that the fragmentation degree of greenbelt landscape increases year by year, and the layout of the building has been developed in a large area. Regional temperature was the strongest driving factor in 2013 and 2016, and altitude was the strongest driving factor in 2019. The interaction between driving factors in 2013 and 2016 was a double-factor enhancement, and the interaction between other driving factors and the regional temperature was a nonlinear enhancement in 2019. Based on the results of dynamic analysis of urban landscape pattern and driving force analysis, in order to provide a reference for land planning and urban ecological environment construction of Xi'an City and other urban areas, corresponding countermeasures and suggestions are put forward.
- Publication
Science Technology & Engineering, 2022, Vol 22, Issue 31, p13846
- ISSN
1671-1815
- Publication type
Article