川西北江河源区资源环境承载力时空过程评价与分析
[Abstract]:The source area of the North River in western Sichuan is located in the high-cold region where the mountain canyons in Hengduan Mountains are in an important ecological position but the ecological environment is fragile in the transition zone to the Tibetan Plateau. In this paper, remote sensing, geographic information system and field survey methods are used to obtain data and mine information. Based on principal component analysis, structural equation model and other model algorithms, the spatial-temporal process of resource and environment carrying capacity in the study area is quantitatively explored. In order to provide theoretical support for sustainable development on the basis of reasonable carrying capacity of resources and environment in the study area, the evaluation model of resource and environment carrying capacity is constructed to master the temporal and spatial changes of resource and environment carrying capacity in the study area. The results of this paper are as follows. (1) the evaluation index system of resource and environmental carrying capacity in the source area of northwest Sichuan is constructed. The evaluation index system of resource and environmental carrying capacity of the study area was improved gradually in the course of structural equation model modification by means of factor analysis in the process of constructing structural equation model. The evaluation index system of environmental carrying capacity of resources in the study area includes climatic factors, geological environment, natural resources, topography and landform, economy, and social six potential variables including elevation, NDVI, Precipitation and other 17 index factors. (2) the evaluation model of resource and environmental carrying capacity in the study area was constructed. Based on the principal component analysis (PCA), the natural and man-made factors of the study area are obtained, and the evaluation model of the resource and environmental carrying capacity of the study area is constructed based on the structural equation model. In the process of model realization, the structure equation model is realized by using ARCGIS data spatialization and superposition analysis module, using SPPSS22 software reliability analysis, factor analysis and so on, and using LISREL 8.8 software to realize the structural equation model, and so on. The application of these software forms the technical system of carrying capacity model of resources and environment in the study area. (3) the spatio-temporal process of carrying capacity of resources and environment is evaluated and analyzed. The space-time process of resource and environment carrying capacity of the study area is evaluated and analyzed through the evaluation of the resource and environment carrying capacity of the study area and the analysis of the influencing factors. The natural factors are the decisive factors of the resource and environment carrying capacity of the study area, and the man-made factor is the important factor of the change of the resources and environment carrying capacity of the study area. The resources and environment carrying capacity of the study area has been greatly improved from 2000 to 2014. Natural resources have the greatest influence on the carrying capacity of resources and environment in the study area. The increase of NDVI, the increase of precipitation and temperature, and the rapid increase of output value and proportion of tertiary industry in the process of time change of resource and environment carrying capacity in the study area. The influence of the spatial distribution of resource and environment bearing capacity in the study area is mainly due to the influence of landform, geological environment, natural resources and so on. The spatial variation shows that the bearing capacity is weak, the large area aggregation distribution in weaker region changes to the small area aggregation distribution, the small area aggregation distribution changes to sporadic distribution, and the sporadic distribution disappears.
【学位授予单位】:成都理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:X24
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