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An Integrated Source Apportionment Methodology and Its Application over the Yangtze River Delta Region, China
Li Li1,2, Jingyu An2, Min Zhou2
1School of Environmental and Chemical Engineering , Shanghai University , Shanghai , 200444 , China.
Environmental Science & Technology
|October 6, 2018
Summary
This study integrates receptor-oriented models and source-oriented simulations to pinpoint fine particulate matter (PM2.5) sources in the Yangtze River Delta. The combined approach offers a more detailed understanding of PM2.5 origins across diverse locations.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Air Quality Modeling
Background:
- Particulate matter (PM2.5) pollution is a significant environmental and health concern.
- Existing source apportionment (SA) methods have limitations in accurately identifying PM2.5 sources.
- The Yangtze River Delta (YRD) region faces complex air quality challenges requiring robust SA.
Purpose of the Study:
- To develop and validate an integrated source apportionment methodology for PM2.5.
- To dissect and quantify PM2.5 sources in the Yangtze River Delta region during winter.
- To enhance the understanding of PM2.5 source-receptor relationships.
Main Methods:
- Amalgamation of receptor-oriented models (ROM) and source-oriented numerical simulations (SOM).
- Application and comparison of three ROM models (CMB, PMF, ME2) with PM2.5 sampling data.
- Simulation of source contributions using the WRF-CAMx model.
Main Results:
- The integrated approach successfully apportioned PM2.5 sources across various receptor types (urban, rural, coastal, inland, northern, southern).
- Results showed good agreement with previous studies, validating the integrated methodology.
- Detailed source contributions were analyzed, providing a comprehensive understanding of PM2.5 origins.
Conclusions:
- The integrated SA methodology overcomes the weaknesses of individual models.
- This approach provides a more profound and detailed understanding of PM2.5 sources and their impact on receptors.
- The study offers valuable insights for air quality management in the Yangtze River Delta.
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