Spatial-temporal Pattern and Driving Forces of Ecological Environment Quality in the Yellow River Basin
As an important economic development area in China,the ecological environment quality of the Yellow River Basin not only supports its sustainable development,but also is related to the realization of the major national strategy of"ecological protection and high-quality development in the Yellow River Basin".Based on the spatial analysis function of geographic information systems,this study constructs an ecological environment quality evaluation index system and uses the spatiotemporal geographic weighted regression model,analyses time and space evolution of ecological environment quality in-dex and its driving force at the city scale of the Yellow River from 2010 to 2020.The research results show that the ecological environment quality index(EI)of the Yellow River Basin increased from 54.41 to 55.48.EI in the middle reaches was higher than that in the upper and lower reaches,and the ecological environment of Gansu and Ningxia located in the central re-gions significantly improved.The distribution of ecological environment grades in the Yellow River Basin has significant spa-tial differences,and the quality index presents spatial agglomeration,with low and low agglomerations in the north and west,and high and high agglomerations in the south.Economy,population,industry,and policy factors jointly affect the ecological environment quality index of the Yellow River Basin.The urbanization rate of permanent residents,the density of permanent residents,the proportion of the primary industry and the proportion of the secondary industry are the main driving forces of the ecological environment quality index,but its driving force presents show a trend that the pressure of urbanization and environ-mental governance policies are gradually increasing,and the pressure of economic development and industrial structure trans-formation is gradually weakening.
Yellow River basinecological environment qualityspatial and temporal patternspatial and temporal geographical weightingdriving force
万方数据
维普
