Volume XLII-3/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W9, 37–42, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W9-37-2019
© 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, 37–42, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W9-37-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  25 Oct 2019

25 Oct 2019

EXPLORING LAND COVER EFFECTS ON URBAN AIR QUALITY: A CASE OF 659 DISTRICTS IN INDIA

W. W. Gao1, L. Y. Bai1, J. Z. Feng2, D. Cao1, M. R. Cui1, Z. W. Li1, and C. Y. Duan1 W. W. Gao et al.
  • 1Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
  • 2Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

Keywords: Land Use and Land Cover Changes (LUCC), Urbanization, Air Quality, Fine Particulate Matter (PM2.5), District-level, India

Abstract. Land use and land cover changes (LUCC) affects the atmospheric environment directly or indirectly. Therefore, understanding the atmospheric response to LUCC is of great significance to maintain and improve the ecological environment. In this study, based on fine particulate matter (PM2.5) and LC products, we first compared the differences of PM2.5 between urban and surrounding areas, and then further investigated the variations of PM2.5 in different and land cover (LC) using Mann-Kendall (MK) test and Sen’s trend analysis approach at the district-level in India during 1998–2015. The results showed that the numbers of districts where the differences of PM2.5 (DPM2.5) between urban and the surrounding areas were greater than zero were increasing during 1998–2015. There is an upward trendency of annual mean PM2.5. The annual mean PM2.5 was higher than 40 μg/m3 in 58% of India’s areas where there were mainly located in the Ganges plains of northern India with cropland (L01) and urban areas (L07). The annual mean PM2.5 was less than 10 μg/m3 were mainly found in north-western India with permanent ice and snow (L10), accounting for 10% of India’s area. There are significant positive trends of PM2.5 concentration in 90% of cropland (L01) and 88% of urban area (L07) and the average slope were 0.83 μg/m3 and 0.82 μg/m3 respectively, which were higher than those in the rest of LC. This research serves as the basis of reference for the equitable allocation of land resources and restructuring of land use and land cover patterns in urban areas of India that severely affected by air pollution.