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Aerosol Characterization of Northern China and Yangtze River Delta Based on Multi-Satellite Data: Spatiotemporal Variations and Policy Implications

Author

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  • Kuifeng Luan

    (College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
    Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai 200123, China)

  • Zhaoxiang Cao

    (College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China)

  • Song Hu

    (College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China)

  • Zhenge Qiu

    (College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
    Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai 200123, China)

  • Zhenhua Wang

    (College of Information Science, Shanghai Ocean University, Shanghai 201306, China)

  • Wei Shen

    (College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
    College of Information Science, Shanghai Ocean University, Shanghai 201306, China)

  • Zhonghua Hong

    (College of Information Science, Shanghai Ocean University, Shanghai 201306, China)

Abstract

Horizontal and vertical distributions of aerosol properties in the Taklimakan Desert (TD), North central region of China (NCR),North China Plain(NCP), and Yangtze River Delta (YRD) were investigated by statistical analysis using Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) L3 data from 2007 to 2020, to identify the similarities and differences in atmospheric aerosols in different regions, and evaluate the impact of pollution control policies developed in China in 2013 on aerosol properties in the study area. The aerosol optical depth (AOD) distribution had substantial seasonal and spatial distribution characteristics. AOD had high annual averages in TD (0.38), NCP (0.49), and YRD (0.52). However, these rates showed a decline post-implementation of the long-term pollution control policies; AOD values declined by 5%, 13.8%, 15.5%, and 23.7% in TD, NCR, NCP, and YRD respectively when comparing 2014–2018 to 2007–2013, and by 7.8%, 11.5%, 16%, and 10.4% when comparing 2019–2020 to 2014–2018. The aerosol extinction coefficient showed a clear regional pattern and a tendency to decrease gradually as height increased. Dust and polluted dust were responsible for the changes in AOD and extinction coefficients between TD and NCR and NCP and YRD, respectively. In TD, with change of longitude, dust aerosol first increased and then decreased gradually, peaking in the middle. Similarly in NCP, polluted dust aerosol first increased and then decreased, with a maximum value in the middle. The elevated smoke aerosols of NCP and YRD were significantly higher than those observed in TD and NCR. The high aerosol extinction coefficient values (>0.1 km −1 ) were mainly distributed below 4 km, and the relatively weak aerosol extinction coefficients (>0.001 km −1 ) were mainly distributed between 5–8 km, indicating that the high-altitude long-range transport of TD and NCR dust aerosols affects NCP and YRD.

Suggested Citation

  • Kuifeng Luan & Zhaoxiang Cao & Song Hu & Zhenge Qiu & Zhenhua Wang & Wei Shen & Zhonghua Hong, 2023. "Aerosol Characterization of Northern China and Yangtze River Delta Based on Multi-Satellite Data: Spatiotemporal Variations and Policy Implications," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2029-:d:1042940
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    References listed on IDEAS

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    1. Veerabhadran Ramanathan & Muvva V. Ramana & Gregory Roberts & Dohyeong Kim & Craig Corrigan & Chul Chung & David Winker, 2007. "Warming trends in Asia amplified by brown cloud solar absorption," Nature, Nature, vol. 448(7153), pages 575-578, August.
    2. Botao ZHOU & Qingchen CHAO & Lei HUANG, 2015. "The Core Conclusions and Interpretation of Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-7.
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