Climatological Characteristics and Aerosol Loading Trends from 2001 to 2020 Based on MODIS MAIAC Data for Tianjin, North China Plain

Zhenling Wu, Hujia Zhao, Jian Hao and Guoliang Wu
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Zhenling Wu: Tianjin Key Laboratory for Oceanic Meteorology, Tianjin Institute of Meteorology, Tianjin 300074, China
Hujia Zhao: Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China
Jian Hao: Tianjin Key Laboratory for Oceanic Meteorology, Tianjin Institute of Meteorology, Tianjin 300074, China
Guoliang Wu: Tianjin Key Laboratory for Oceanic Meteorology, Tianjin Institute of Meteorology, Tianjin 300074, China

Sustainability, 2022, vol. 14, issue 3, 1-18

Abstract: The North China Plain (NCP) in East Asia has a severe air pollution problem. In this study, the long-term spatial distribution and interannual trends of aerosol optical depth (AOD) were investigated using the MODIS MAIAC (multiangle implementation of the atmospheric correction) dataset from 2001 to 2020 for Tianjin, a city on the NCP. The annual AOD in Tianjin was 0.59 from 2001 to 2020. The average AOD of Tianjin was the highest in summer (0.96), followed by spring (0.58) and autumn (0.51). The annual AOD in Tianjin increased significantly in 2008 (approximately 0.77), and the minimum annual AOD was observed in 2020 (0.41). In summer, AOD in the 11 districts of Tianjin significantly increased from 2001 to 2010 and gradually decreased from 2011 to 2020. The occurrence frequency of AOD in the range of 0.2–0.5 was high in Tianjin accounting for almost 40% of the total proportion. In Tianjin, AOD exhibited a positive trend from 2001 to 2008 and an obvious negative growth trend from 2009 to 2020 due to anthropogenic emission. The findings are valuable for analyzing the climatological characteristics of aerosol loading and their optical properties at the district level of cities on the NCP.

Keywords: aerosol optical depth; interannual trends; district level; North China Plain (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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