Volume XLII-3/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W9, 109–112, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W9-109-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W9, 109–112, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W9-109-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  25 Oct 2019

25 Oct 2019

SATELLITE-DERIVED AIR POLLUTANTS AND THEIR CORRELATIONS WITH URBAN FORM IN GUANGDONG, CHINA

L. L. Li1, X. D. Feng1, and T. Chen2 L. L. Li et al.
  • 1College of Environmental Science and Engineering, Zhongkai University of Agricultural and Engineering, Guangzhou 510225, P. R. China
  • 2The Environmental Research Institute; MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, P. R. China

Keywords: PM2.5, NO2, Urban Form, Landscape Metrics, Guangdong Province

Abstract. The ways cities grow and evolve spatially are crucial factors which affect urban aerosol pollution. Understanding the spatial distribution of air pollutants and their correlations with urban form is of great significance to the improvement of urban atmospheric environment and regional sustainable development of urbanization. In this study, we firstly examined the spatial variations of satellite-derived PM2.5 and NO2 and urban form metrics in Guangdong, and also explored their relationships. The results indicated that the highest and lowest values of PM2.5 and NO2 mainly occur over the Pearl River Delta (PRD) region, and over the eastern Guangdong, respectively. For the size and shape of urban patches, urban form had significant effects on air pollutants in Guangdong. PM2.5 was positively correlated with AREA_AM, CA and SHAPE_AM, and NO2 was positively correlated with LPI, PLAND and AREA_AM, while both of them were negatively related to PARA _AM and ENN_AM. It is inferred that polycentric urban form was associated with low PM2.5 and NO2 concentration, and reasonable urban planning would help mitigate the fine particle pollution.