Abstract:
In order to understand the effects of urbanization on the Earth's ecosystem, the impervious surface coverage(ISC) has been recognized as a geographical indicator to reflect the intensity of human development activities with rapid urbanization.The PM
2.5 pollution is used to indicate air quality.The relationship between ISC and PM
2.5 pollution was explored with two levels based on spatial statistics.From 2000 to 2015, the ISC in Kunming increased from 9.36% to 16.37%, while the PM
2.5 concentration increased from 17.12 μg/m
3 to 28.63 μg/m
3.The spatial distribution of the PM
2.5 aggravation was consistent with the impervious surface expansion in Kunming.The growth of ISC in the southeast(11.56 to 25.78%) was greater than that in the northwest(2.12 to 5.15%), and the increase of PM
2.5 concentration in the southeast(21.37 to 36.75 μg/m
3) was also greater than that in the northwest(4.56 to 10.65 μg/m
3).The relationship between ISC and PM
2.5 concentrations was explored at the town level and the station level.The impervious surface and the PM
2.5 pollution in Kunming both had significant spatial autocorrelation between the towns with Moran's Index of 0.29 and 0.58(
P < 0.001), respectively.For towns' ISC greater than 5%:58.14%(25/43) of the towns were degraded; for ISC > 10%:71.43%(25/35) of the towns were degraded; for ISC > 25%:100%(26/26) of the towns were degraded.In contrast, for towns with ISC < 5%:none of the towns were degraded.With the least square method, the results showed a good fitting(
R2=0.803,
P < 0.001) between the towns' ISC and PM
2.5 concentrations.Moreover, at the station level, the relationship between ISC of the stations' buffer(2000 m) and PM
2.5 concentrations were explored(
R2=0.893,
P < 0.001) with Pearson's Correlation, indicating ISC has strong association with PM
2.5 concentration.Thus, the proportion and spatial distribution of impervious surface should be considered in National New-Type Urbanization Development, making cities surrounded by enough green belt and water areas.