Study on the Correlation Relationship Between Land Use Structure and Air Quality Based on Spatial Econometric Models:A Case Study of Cities and Counties in Guangdong,Fujian and Zhejiang Provinces
The study,focusing on 204 cities and counties in Guangdong,Fujian,and Zhejiang provinces,utilizes exploratory spatial data analysis methods to reveal the temporal and spatial distribution of air quality index(AQI).A spatial econometrics model is applied to explore the impact of natural environments,socio-economic factors,and urban form on air quality.Key findings include:(1)A north-high and south-low spatial pattern in annual AQI,with pollution hotspots mainly in northern,central,and eastern coastal areas of Zhejiang,and cleaner air mainly in northeastern Fujian.(2)Seasonally,AQI is higher in spring and winter,lower in summer and autumn.(3)The regression model shows balanced urban land use improves air quality;urban green coverage has a negligible effect;higher urbanization levels correlate with better air quality,particularly in cities compared to towns;the proportion of secondary industry,traffic factors,and built-up land use negatively impact air quality;high summer temperatures exacerbate pollution;annual maximum temperature average,annual precipitation,and vegetation coverage index improve air quality.
air quality index(AQI)spatial and temporal characteristicsland use mixspatial lag model(SLM)city-county space
NETL
NSTL
万方数据
