Abstract
In the Beijing-Tianjin-Hebei (BTH) urban agglomeration, the atmospheric particulate matter (PM) pollution has become exacerbated year by year. In an attempt to understand the current condition of aerosol particulate pollution in the BTH region, the temporal and spatial distribution, future trend changes, and potential source areas of absorbing aerosols in the BTH region from 2005 to 2019 were analyzed based on Ozone Monitoring Instrument/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13 × 24 km V003 (OMAERUV) daily product data; besides, relevant influencing factors were explored in this study. As per the analysis of results, the ultraviolet aerosol index (UVAI) increased by 3.03% in the time series from 2005 to 2019. Spatially, the absorbing aerosol in the North China Plain was always maintained in a high-value area, and the15-year average annual UVAI value has been as high as 0.45. In the monthly time series, a “V” shape started from January. The peak value of seasonal characteristics reached the highest in winter, followed by autumn and spring, and the lowest in summer. The external potential sources in the BTH region are mainly sand and dust sources generated in the northwest, while those of absorbing aerosols are mainly carbon sources in spring, with the lowest external absorbing aerosols in summer. The potential sources of absorbing aerosols in autumn are relatively complicated. The potential sources of absorbing aerosols are mainly sand and dust sources in the north. The time series of absorbing aerosols mainly showed an anti-continuous rise, and 54.23% of absorbing aerosols indicated an upward trend that would occur in the future. The relationship between absorbing aerosols and PM2.5 is mutual conversion. According to the path coefficient, industrial production activities are important sources of atmospheric absorbing aerosols, and precipitation can reduce the content of absorbing aerosols in the atmosphere caused by industrial production.
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source areas of Beijing Polar absorbing aerosols in different seasons in 2019
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Data availability
Data 1: The data used for aerosol analysis in this study are obtained from the NASA website and have been processed into spatial data through a series of processing. The original data of these data sets are obtained from https://disc.gsfc.nasa.gov/mirador-guide? tree = project&project = OMI&dataGroup = L2_V003&dataset = OMNO2.003&version = 003&year = 2018&longname = OMI%2FAura&tdsourcetag = s_pcqq_aiomsg.
Data 2: PM2.5 data used in this study are obtained from the Atmospheric Composition Analysis Group. The PM2.5 concentration data are mainly man-made sources. Donkelaar has used and explained these data in the paper. The original data are obtained from http://fizz.phys.dal.ca/~atmos/martin/?page_id=140#V4.CH.03.
Data 3: The DEM, precipitation, and temperature data used in this study are obtained from the Resource Science Data Center of the Chinese Academy of Sciences (http://www.resdc.cn), and the population density data are obtained from the LandScan data website (https://landscan.ornl.gov)/). Many socio-economic and human activity data are obtained from the National Bureau of Statistics of the People’s Republic of China (http://www.stats.gov.cn/). Example 1: The data for UVAI analysis in this study are obtained from the NASA website. The original data of these datasets are obtained from https://disc.gsfc.nasa.gov/miradorguide?tree=project&project=OMI&dataGroup=L2_V003&dataset=OMNO2.003&version=003&year=2018&longname=OMI%2FAura&tdsourcetag=s_pcqq_aiomsg.
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Acknowledgements
In this study, the satellite data are obtained from NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) in the USA.
Funding
This work was supported by the Lanzhou Science and Technology Plan Project (No. 2017-RC-69).
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TianZhen Ju: Resources, project administration, formal analysis, and original draft
JiaLe Duan: Conceptualization, methodology, data curation, writing-original draft, and writing
BingNan Li: Editing and revise
HaiYan Gao: Writing-review and investigation
JiaChen Fan: Software and visualization
ZhuoHong Liang: Software and visualization
RuiRui Huang: Software and visualization
TunYang Geng: Software and visualization
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Ju, T., Duan, J., Li, B. et al. Analysis and research of absorbing aerosols in Beijing-Tianjin-Hebei region. Air Qual Atmos Health 15, 937–950 (2022). https://doi.org/10.1007/s11869-021-01151-2
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DOI: https://doi.org/10.1007/s11869-021-01151-2