| Urban green space plays an important role in improve and regulate the city’s ecological environment. Based on the atmospheric remote sensing theory, landscape ecology theory, this study retrieved the distribution of PM10concentration in Wuhan City from MOD04Leve12B Aerosol Optical Depth AOD products, combined with Wuhan City ground monitoring sites PM10data, and discussed the seasonal dynamic change. Because of the green space’reducing pollution effects mainly reflected in the summer, to further reveal the relationship between the PM10concentrations’spatial distribution and landscape pattern, in this study, we use the PM10concentrations difference between summer and winter to represent the green space’abatement effect, and classified the PM10concentration gradient. Select53complete units in MOD04imge(10km*10km) as typical plots, make correlation analysis of average PM10concentration abatement with pattern indices in each plot, tries to find out the interaction between urban green space’ characteristic and its lowering PM10pollution effect. Based on the above analysis, this article proposes the urban green space landscape pattern’optimization strategy in order to enhance the green space’ functions in reduce PM10pollution effect. The main conclusions of this study are summarized as follows:From the distribution of the four seasons’PM10concentration in Wuhan City, the average concentration is highest in winter, followed by the autumn, lowest in summer, its spatial distribution characteristics show similarity of the layering structure, which is highest in the main city, followed by the urban development area outside the main city, then the outer suburbs. The result of the classification of PM10concentration gradient shows that the vegetation coverage area’s lowering PM10pollution effect has a banding distribution, the closer to the city center, the smaller the concentration difference, which indicated that the weaker of green space’effect in lowering PM10pollution.According to the correlation analysis to the green landscape pattern indices with PM10concentration abatement In the participated greenland type level indices, there is a positive correlation between PLAND, LPI, AREA_MN, AI indices and PM10average abatement, and a negative correlation between ENN_MN and PM10average abatement. These shows that the greater the total vegetation coverage area, and the greater the large green patch area, the more PM10pollution reduction effect green space plays. From the point of plaque distribution, the more uniform of the spatial structure, and the stronger interaction between plaques, the more effect green space plays.Considering the differcence environment PM10value between winter and summer, the difference can be considered to be due to the contribution effect of construction land for PM10in winter and summer, so, we use the proportion of construction land as a correction value, to correct the difference map of PMIO. The results shows that:the correction value is better Pearson correlation coefficient than without correction, respectively,0.575and0.436, that indicate the construction area has some contribution to PM10value and the value is not the same in winter and summer, environmental value of PM10shows the same differences to green space in winter and summer, the environmental value of PM10in summer is more than winter. |
PDF Full Text Request