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Volume 39 Issue 2
Jul.  2021
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Article Contents
DU Bo-ying, MA Yun-feng, WANG Qi, WANG Yue, SHI Xiao-fei, WANG Shuai, BIAN Yu-shan. ANALYSIS OF DIFFUSION CHARACTERISTICS AND FORMATION CAUSES OF PM2.5 IN SHENYANG USING WRF-CHEM[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 89-97,104. doi: 10.13205/j.hjgc.202102014
Citation: DU Bo-ying, MA Yun-feng, WANG Qi, WANG Yue, SHI Xiao-fei, WANG Shuai, BIAN Yu-shan. ANALYSIS OF DIFFUSION CHARACTERISTICS AND FORMATION CAUSES OF PM2.5 IN SHENYANG USING WRF-CHEM[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 89-97,104. doi: 10.13205/j.hjgc.202102014

ANALYSIS OF DIFFUSION CHARACTERISTICS AND FORMATION CAUSES OF PM2.5 IN SHENYANG USING WRF-CHEM

doi: 10.13205/j.hjgc.202102014
  • Received Date: 2019-07-17
    Available Online: 2021-07-19
  • In recent years, the quality of the atmospheric environment in many cities has become increasingly severe, which is not only related to the emission of pollutants from local sources, but also affected by regional transportation. Taking an air pollution process as an example in Shenyang, Liaoning in January 2017, the evolution process and meteorological impact were analyzed. Firstly, the WRF-HYSPLIT model was used to calculate the backward trajectories, and the WRF-Chem air quality model was used to calculate the ground surface PM2.5 particle diffusion process. At the same time, the surface synoptic map and isobaric surface in the study area was analyzed and simulated. The results showed that the air mass trajectory pathways in January 2017 could be divided into 5 types, in which the trajectory cluster 1 in the west direction had the fastest moving speed, but the pollution value and frequency were lower. And the transport pathways numbered 2 and 3 were similar originating in the Inner Mongolia Autonomous Region and moving to the southeast direction to the target area. And these trajectories carried low PM2.5 value of 45.47, 67.97 μg/m3, with frequency of 24.19% and 15.32%, respectively. The cluster 4 showed that the local source transports accounted for 33.03% with the largest pollution level, which was 121.66 μg/m3. The trajectory cluster 5 in the southwest transport pathway had a frequency of 14.53% and the PM2.5 value of 105.5 μg/m3. The results of air quality model were consistent with the trajectories calculation results:the southwest and the northeast transport pathways led to a particulate matter increase in the target area. Heavy pollution events were more likely to occur due to the impact of Northeast China Topographic Trough and Changbai Mountain Small High Pressure formed by topographical dynamics and thermal factors.
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