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[Scenario Simulation Study Constrained by the Ambient Air Quality Standards in Nanjing]
Fang-Jian Xie1, Zhi-Hao Shi2, Jing-Yi Li2,3
1Nanjing Municipal Academy of Ecology and Environment Protection Science, Nanjing 210093, China.
Huan Jing Ke Xue= Huanjing Kexue
|December 20, 2019
Summary
Reducing primary particulate matter (PPM) is key to meeting Nanjing's 2030 air quality goals. PPM emission cuts achieve 88% of the total PM2.5 reduction, significantly improving air quality.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Air Quality Modeling
Context:
- Nanjing faces stringent air quality targets for 2030, requiring significant reductions in six major pollutants.
- The study builds upon the 2015 emission inventory to model future air quality scenarios.
Purpose:
- To identify effective emission reduction strategies for meeting Nanjing's 2030 air quality standards.
- To quantify the impact of different pollutant controls on PM2.5 concentrations.
Summary:
- The Comprehensive Air Quality Model with Eulerian Applications (CMAQ) was used to simulate four emission reduction scenarios.
- Primary particulate matter (PPM) reduction proved most effective, accounting for 88% of the total PM2.5 reduction.
- Controlling activity levels is effective for SO2, NH3, and CO, while end-of-pipe treatment is better for NOx and VOCs.
Impact:
- Achieving specific emission targets for SO2, NOx, PM10, PM2.5, BC, OC, CO, VOCs, and NH3 can meet national air quality standards.
- The findings provide a roadmap for policymakers to prioritize emission control measures.
- Emission reduction ratios for major pollutants range from 22% to 53% compared to 2015 levels.
