The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 171–176, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-171-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 171–176, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-171-2022
 
01 Jun 2022
01 Jun 2022

SPATIAL OVERFLOW EFFECT OF INTERCITY PARTICULATE POLLUTION: A CASE STUDY IN HUBEI, CHINA

X. Song1, L. Zang2, J. Chen1, J. Yin1, and Y. Zhang1 X. Song et al.
  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • 2Electronic Information School, Wuhan University, Wuhan 430079, China

Keywords: Data mining, PM pollution, Spillover effect, Granger, Block modelling, City role

Abstract. Complex interaction between emissions, meteorology and atmospheric chemistry makes accurate predictions of particulate pollution difficult. Advanced data mining techniques can dig out potential laws from massive data, providing new possibilities for understanding the evolution and causes of particulate pollution. Based on the Granger method and block modeling analysis, this study explored the spillover effects of hourly PM2.5 to determine the specific role (i.e., overflow, bilateral, inflow and limited inflow) of each city in Hubei, China. The results suggest that the northern and central cities with high level PM concentration in Hubei have a significant spillover effect, while the eastern and southern cities generally play a role as the sink of pollutant.