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Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface
Jia Xing1, Shuxiao Wang1, Bin Zhao1,2
1State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University , Beijing 100084, China.
Quantifying air pollution sources is complex. This study introduces an updated model to differentiate local and regional contributions to tropospheric ozone and fine particles, crucial for effective pollution control strategies.
Area of Science:
- Atmospheric Chemistry
- Environmental Science
- Air Quality Modeling
Background:
- Tropospheric ozone (O3) and fine particles (PM2.5) originate from local and regional emissions.
- Nonlinear responses of O3 and PM2.5 to precursors complicate source attribution.
- Accurate quantification of multiregional contributions is essential for effective air quality management.
Purpose of the Study:
- To develop and apply an updated extended response surface modeling technique (ERSMv2.0).
- To quantify multiregional contributions to tropospheric ozone and fine particles.
- To analyze the distinct roles of local chemistry, regional transport, and interregional effects.
Main Methods:
- Utilized the updated extended response surface modeling technique (ERSMv2.0).
- Decomposed multiregional contributions into local chemistry, regional transport, and interregional effects.
- Applied the model to a case study in the Beijing-Tianjin-Hebei region.
Main Results:
- For PM2.5, local chemistry impacts generally exceed regional transport contributions.
- Regional transport plays a more significant role in ozone formation compared to PM2.5.
- Both O3 and PM2.5 contributions from regional sources intensify during high-pollution episodes.
Conclusions:
- The ERSMv2.0 model effectively quantifies multiregional contributions to air pollution.
- Understanding the balance between local and regional sources is critical for targeted pollution control.
- Joint control strategies for regional sources are vital for mitigating severe air pollution events.
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