Publications by authors named "You-jiang He"
Article Synopsis
- Meteorological conditions significantly influence the occurrence and evolution of complex atmospheric pollution, specifically particulate matter (PM) and ozone (O), necessitating the development of pollution meteorological condition indexes through statistical and deep learning methods.
- Analysis of pollution data from summer 2021 revealed that central and eastern China's pollution conditions were worse in the north compared to the south, with the highest levels in June and the lowest in July, indicating a pattern of increasing "double high" pollution when specific index thresholds were exceeded.
- Improvements in meteorological conditions contributed to a notable decrease in PM concentrations across regions, with an average reduction of nearly 58.5%, while O conditions worsened in the south, particularly in the Yangtze River Delta, leading to an overall
Article Synopsis
- The study focused on winter haze pollution in Beijing, specifically analyzing a pollution event in December 2019, using various data types including aerosol vertical detection and meteorological conditions.
- The pollution lasted for 5 days, with peak PM concentration reaching 220 μg·m, and 53% of the time exceeding severe pollution standards, indicating significant air quality issues.
- Findings revealed that a combination of regional aerosol transmission, local emissions, and unfavorable weather conditions (like weak winds and high humidity) contributed to the haze, alongside changes in aerosol properties reflecting increased pollution severity.
In this paper, spatial and temporal distribution, transportation and deposition of PM2.5 in Shandong Province in Spring, 2014 were all analyzed by applying PSAT of CAMx model and we also developed a transport matrix of PM2.5 between different cities in Shandong.
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