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Evaluation of the influence of El Niño-Southern Oscillation on air quality in southern China from long-term historical observations

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Abstract

Previous studies demonstrated that the El Niño-Southern Oscillation (ENSO) could modulate regional climate thus influencing air quality in the low-middle latitude regions like southern China. However, such influence has not been well evaluated at a long-term historical scale. To filling the gap, this study investigated two-decade (2002 to 2020) aerosol concentration and particle size in southern China during the whole dynamic development of ENSO phases. Results suggest strong positive correlations between aerosol optical depth (AOD) and ENSO phases, as low AOD occurred during El Niño while high AOD occurred during La Niña event. Such correlations are mainly attributed to the variation of atmospheric circulation and precipitation during corresponding ENSO phase. Analysis of the angstrom exponent (AE) anomalies further confirmed the circulation pattern, as negative AE anomalies is pronounced in El Nino indicating the enhanced transport of sea salt aerosols from the South China Sea, while the La Niña event exhibits positive AE anomalies which can be attributed to the enhanced import of northern fine anthropogenic aerosols. This study further quantified the AOD variation attributed to changes in ENSO phases and anthropogenic emissions. Results suggest that the long-term AOD variation from 2002 to 2020 in southern China is mostly driven (by 64.2%) by the change of anthropogenic emissions from 2002 to 2020. However, the ENSO presents dominant influence (70.5%) on year-to-year variations of AOD during 2002–2020, implying the importance of ENSO on varying aerosol concentration in a short-term period.

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Acknowledgements

This research was funded by the Foundation for Innovative Research Groups of the Hubei Natural Science Foundation, grant number 2020CFA003 and the National Natural Science Foundation of China, grant number 41975022. The authors are grateful to NOAA CPC for ONI-3.4 index data, LAADS DAAC for Aqua MODIS AOD data, and ECMWF for sharing the reanalysis data publicly accessible.

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Authors and Affiliations

  1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China

    Shansi Wang, Siwei Li & Jiaxin Dong

  2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China

    Siwei Li & Jie Yang

  3. School of Environment, Tsinghua University, Beijing, 100084, China

    Jia Xing & Shovan Kumar Sahu

  4. Map Institute of Guangdong Province, Guangzhou, 510075, China

    Yu Qin

Authors
  1. Shansi Wang
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  2. Siwei Li
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  3. Jia Xing
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  4. Jie Yang
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  5. Jiaxin Dong
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  6. Yu Qin
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  7. Shovan Kumar Sahu
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Corresponding author

Correspondence to Siwei Li.

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Highlights

• Strong ENSO influence on AOD is found in southern China region.

• Low AOD occurs in El Nino but high AOD occurs in La Niña events in southern China.

• Angstrom exponent anomalies reveals the circulation pattern during each ENSO phase.

• ENSO exerts large influence (70.5%) on annual variations of AOD during 2002–2020.

• Change of anthropogenic emissions is the dominant driver for AOD trend (2002–2020).

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11783_2021_1460_MOESM1_ESM.pdf

Evaluation of the influence of El Niño-Southern Oscillation on air quality in southern China from long-term historical observations

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Wang, S., Li, S., Xing, J. et al. Evaluation of the influence of El Niño-Southern Oscillation on air quality in southern China from long-term historical observations. Front. Environ. Sci. Eng. 16, 26 (2022). https://doi.org/10.1007/s11783-021-1460-0

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  • DOI: https://doi.org/10.1007/s11783-021-1460-0

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