Analysis On The Spatial-temporal Differentiation And Driving Factors Of Ecological Quality In Wuhan Based On RSEI Model

The rapid urbanization has accelerated the destruction of the ecological environment.Dynamic monitoring of Wuhan’s ecological quality is one of the important links to achieve sustainable development.Based on Landsat8 satellite image data,this study uses RSEI to evaluate the ecological environment quality of Wuhan from 2013 to 2018.The index model consists of humidity index(Wet),greenness index(NDVI),heat index(LST)and dryness indicator(NDBSI).The remote sensing image data was processed with the support of ENVI software,and the remote sensing ecological index was obtained after PC1 transformation of principal component analysis,transposition of positive and negative values,and normalization.This study uses the more accurate radiative transfer equation(RTE)method to retrieve the surface temperature.It also selects two indicators of water suspended matter concentration and chlorophyll a to evaluate the ecological quality of the water body in the study area,which complements the RSEI model to evaluate the ecological water quality in order to achieve a complete assessment of urban ecology.Based on Wuhan’s POI data,data such as traffic convenience,population density maps,urban land use classification,and GDP distribution were used to construct a geographically weighted regression model to explore the driving factors of ecological quality.The study found that the RSEI model optimized by the combination of dual-index combination water quality(WQ)in this study is highly feasible and can be widely used;using the radiation transfer equation method(RTE)can obtain a more accurate and true surface temperature of the ground object than the LST method;Among the 13 administrative districts in Wuhan,the ecological quality of Jianghan District has been the lowest for many years.The ecological quality of Huangpi District is the best,but it has shown a downward trend in recent years.The six driving factors selected in this study affect the ecological quality from large to small in this order: land use type> transit convenience> elevation(DEM)>population density> distance from city center> GDP per unit area;these six The impact size of the 15 interactive impact types produced by the impact factor is: traffic convenience ∩ elevation(DEM)> elevation(DEM)∩ population density> elevation(DEM)∩ distance from the city center> land use type ∩ transportation convenience>land Utilization type ∩Distance from city center> Land use type∩Elevation(DEM)=Elevation(DEM)∩Unit area GDP> Land use type∩Population density> Unit area GDP∩Land use type> Transportation convenience∩Distance from city center>Convenience of transportation∩population density> GDP per unit area∩distance from city center> GDP per unit area∩traffic convenience> distance from city center∩population density> GDP per unit area∩population density,except elevation(DEM)∩interaction per unit area GDP The effect is a two-factor nonlinear enhancement,and the other two-factor mutual enhancement,not independent of each other.