Publications by authors named "Mo-Mei Qin"
[Differences of Three Methods in Determining Ozone Sensitivity in Nanjing].
Huan Jing Ke Xue
February 2024
Article Synopsis
- Ozone (O) has become a critical air pollutant in China, and understanding its sensitivity to volatile organic compounds (VOCs) and nitrogen oxides (NO) is essential for creating effective pollution control strategies.
- This study evaluated three methods for determining O sensitivity during a pollution event in Nanjing: a photochemical indicator, sensitivity coefficients from a three-dimensional air quality model, and an observation-based model (OBM).
- Results showed that while the photochemical indicator and sensitivity coefficients suggested similar patterns in O sensitivity, the OBM's accuracy was affected by data quality, leading to notable differences in the conditions identified, particularly during high pollution periods.
In recent years， regional compound air pollution events caused by fine particles （PM） and ozone （O） have occurred frequently in economically developed areas of China， in which atmospheric oxidizing capacity （AOC） has played an important role. In this study， the WRF-CMAQ model was used to study the impacts of anthropogenic emission reduction on AOC during the COVID-19 lockdown period. Three representative cities in eastern China （Shijiazhuang， Nanjing， and Guangzhou） were selected for an in-depth analysis to quantify the contribution of meteorology and emissions to the changes in AOC and oxidants and to discuss the impact of AOC changes on the formation of secondary pollutants.
View Article and Find Full Text PDFThis study applied a de-weather method based on a machine learning technique to quantify the contribution of meteorology and emission changes to air quality from 2015 to 2021 in four cities in the Yangtze River Delta Region. The results showed that the significant reductions in PM, NO, and SO emissions(57.2%-68.
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