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Differentiating between local and remote pollution over Taiwan.

Pavel Kishcha1, Sheng-Hsiang Wang2, Neng-Huei Lin2

  • 1School of Geosciences, Tel-Aviv University, Tel-Aviv, Israel.

Aerosol and Air Quality Research
|July 1, 2020
PubMed
Summary
This summary is machine-generated.

A new method using aerosol optical depth variations differentiates local and remote pollution in Taiwan. Spring pollution is mainly from continental Asia, while autumn pollution originates from local industrial sources.

Keywords:
AERONETLocal pollutionMERRA aerosol reanalysisMERRA-2Remote pollutionTaiwan

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Area of Science:

  • Atmospheric Science
  • Environmental Science
  • Remote Sensing

Background:

  • Distinguishing between local and transboundary air pollution is crucial for effective environmental management.
  • Aerosol Optical Depth (AOD) is a key parameter for monitoring aerosol concentrations and their impact on air quality.
  • Understanding seasonal variations in aerosol sources is vital for policy development.

Purpose of the Study:

  • To develop and validate an approach for differentiating local versus remote pollution sources over Taiwan.
  • To analyze the seasonal and spatial characteristics of aerosol pollution in Taiwan using ground-based and reanalysis data.

Main Methods:

  • Utilized a 15-year dataset (2002-2017) of Aerosol Robotic Network (AERONET) measurements and NASA MERRA-2 aerosol reanalysis data.
  • Applied homogeneity analysis (standard deviation variations) of Aerosol Optical Depth (AOD) to differentiate pollution origins.
  • Analyzed seasonal patterns, spatial distributions, and wind data to support source attribution.

Main Results:

  • Aerosol Optical Depth (AOD) standard deviation in spring (remote aerosols) was significantly lower than in autumn (local aerosols).
  • MERRA-2 total AOD showed distinct seasonal patterns over Taiwan (spring and autumn maxima) compared to the open ocean (single spring maximum).
  • Autumn AOD maxima over Taiwan and the presence of sulfate AOD in autumn were attributed to local industrial emissions.

Conclusions:

  • The developed method effectively distinguishes between local and remote aerosol pollution over Taiwan.
  • Spring AOD maxima are primarily driven by remote pollution from continental Asia, while autumn maxima are linked to local anthropogenic sources.
  • Sulfate AOD analysis further supports the contribution of local industrial emissions to autumn air pollution in Taiwan.