Examining the Impacts of Land Use on Air Quality from a Spatio-Temporal Perspective in Wuhan, China

摘要: Air pollution is one of the key environmental problems associated with urbanization and land use. Taking Wuhan city, Central China, as a case example, we explore quantitative relationship between use (built-up land, water bodies, vegetation) air quality (SO2, NO2, PM10) based on nine ground-level monitoring sites from long-term spatio-temporal perspective in 2007–2014. Five buffers radiuses 0.5 to 4 km are created at each site geographical information system (GIS) areas categories within different calculated. Socio-economic development, energy use, traffic emission, industrial meteorological condition taken into consideration control influences those factors quality. Results bivariate correlation analysis variables annual average concentrations pollutants indicate that have discriminatory effects pollutants, whether for direction correlation, magnitude or spatial scale effect correlation. Stepwise linear regressions used quantitatively model their relationships results reveal significantly influence Built-up standard deviation growth will cause 2% increases NO2 concentration while vegetation 5% decreases. The bodies 3%–6% decreases SO2 PM10 concentration, which comparable mitigation meteorology factor such precipitation. Land strategies should be paid much more attention making reduction policies.