Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets

Chunlin Huang,Junzhang Li,Qixiang Chen,Weiwei Sun,Qian-Jun Mao,Yuan Yuan

doi:10.3390/rs13163116

Abstract

Long-term (2000–2019) assessment of aerosol loads and dominant aerosol types at spatiotemporal scales using multi-source datasets can provide a strong impetus to the investigation of aerosol loads and to the targeted prevention control of atmospheric pollution in densely populated regions with frequent anthropogenic activities and heavy aerosol emissions. This study uses multi-source aerosol datasets, including Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2), Moderate Resolution Imaging Spectroradiometer (MODIS), and Aerosol Robotic Network (AERONET), to conduct a long-term variation assessment of aerosol load, high aerosol load frequency, and dominant aerosol types over Asia. The results indicate that regional aerosol type information with adequate spatial resolution can be combined with aerosol optical depth (AOD) values and heavy aerosol load frequency characterization results to explore the key contributors to air pollution. During the study period, the aerosol load over the North China Plain, Central China, Yangtze River Delta, Red River Delta, Sichuan Basin, and Pearl River Delta exhibited an increasing trend from 2000–2009 due to a sharp rise in aerosol emissions with economic development and a declining trend from 2010–2019 under stricter energy conservation controls and emissions reductions. The growth of urban/industrial (UI) type and biomass burning (BB) type aerosol emissions hindered the improvement of the atmospheric environment. Therefore, in future pollution mitigation efforts, focus should be on the control of UI-type and BB-type aerosol emissions. The Indus–Ganges River Plain, Deccan Plateau, and Eastern Ghats show a continuously increasing trend; however, the aerosol load growth rate of the last decade was lower than that of the first decade, which was mainly due to the decrease in the proportion of the mixed type aerosols.

Highlights

Aerosols, originating from anthropogenic and natural sources, have significant effects on the radiative budget of the earth-atmospheric system, climate change, atmospheric environment, and human health, especially in densely populated regions with frequent anthropogenic activities and heavy aerosol emissions (e.g., East Asia, South Asia, and Southeast Asia) [1,2,3,4,5]
The research is based on the following three steps: (1) Usability assessment of the MERRA-2/Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) and HALFs; (2) the relative change and variation trend of the annual average AOD value and heavy aerosol load frequency; and (3) dominant aerosol type identification through MODIS dataset and AROD-based model, and suitability assessment of aerosol type identification obtained by MERRA-2 outputs combined with
This paper presents the results of the spatial distribution of AOD as well as heavy aerosol load frequency over marine regions

Summary

Introduction

Aerosols, originating from anthropogenic and natural sources, have significant effects on the radiative budget of the earth-atmospheric system, climate change, atmospheric environment, and human health, especially in densely populated regions with frequent anthropogenic activities and heavy aerosol emissions (e.g., East Asia, South Asia, and Southeast Asia) [1,2,3,4,5]. Examining the effects of aerosols effect through their properties poses great challenges because they exhibit short atmospheric lifetimes and strong spatiotemporal heterogeneity. Research on aerosol effects based on aerosol properties, which are obtained from regional and long-term aerosol remote sensing observations using satellite/ground-based platform sensors, is an effective solution pattern for the challenges [6,7]. Observations of aerosol properties, which have been derived with high accuracy and temporal resolutions by ground-based measurement networks Ground-based instruments can only support research at the local scale.

Methods

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Discussion

Conclusion