ANALYSIS OF DIFFUSION CHARACTERISTICS AND FORMATION CAUSES OF PM<sub>2.5</sub> IN SHENYANG USING WRF-CHEM

DU Bo-ying; MA Yun-feng; WANG Qi; WANG Yue; SHI Xiao-fei; WANG Shuai; BIAN Yu-shan

doi:10.13205/j.hjgc.202102014

Volume 39 Issue 2

Jul. 2021

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2021 > 39(2): 89-97,104

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

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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 PM_2.5 IN SHENYANG USING WRF-CHEM[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 89-97,104. doi: 10.13205/j.hjgc.202102014

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ANALYSIS OF DIFFUSION CHARACTERISTICS AND FORMATION CAUSES OF PM_2.5 IN SHENYANG USING WRF-CHEM

doi: 10.13205/j.hjgc.202102014

1. College of Energy and Environment, Shenyang Aerospace University, Shenyang 110126, China;
2. Liaoning University of Technology, Jinzhou 121001, China;
3. Chinese Research Academy of Environmental Sciences, Beijing 100021, China;
4. China Aerospace Science & Industry Corp., Beijing 100854, China;
5. State Environmental Protection Key Laboratory of Atmospheric Organic Pollutants Monitoring and Analysis, Shenyang Environmental Monitoring Center, Shenyang 110000, China

Received Date: 2019-07-17
Available Online: 2021-07-19

Abstract

Abstract

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 PM_2.5 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 PM_2.5 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 PM_2.5 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.
- HYSPLIT,
- K-mean algorithm,
- main transport pathways,
- WRF-Chem,
- Shenyang

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References(33)

References

[1]	HUANG R J, ZHANG Y L, CARLO B, et al. High secondary aerosol contribution to particulate pollution during haze events in china[J]. Nature, 2014, 514(7521):218-222.
[2]	MIAO Y C, GUO J P, LIU S H, et al. Impacts of synoptic condition and planetary boundary layer structure on the trans-boundary aerosol transport from beijing-tianjin-hebei region to northeast china[J]. Atmospheric Environment, 2018, 181:1-11.
[3]	LI X L, MA Y J, WANG Y F, et al. Temporal and spatial analyses of particulate matter (PM₁₀ and PM_2.5) and its relationship with meteorological parameters over an urban city in northeast china[J]. Atmospheric Research, 2017, 198:185-193.
[4]	杨洪斌, 李元宜, 邹旭东. 辽宁空气中度污染和重污染天气类型分析[J]. 气象与环境学报, 2009, 25(6):15-17.
[5]	MA Y J, LIU N W, WANG Y F. Distribution characteristics of air pollution cause of serious pollution in the mid cities of liaoning province[J]. Urban Environment & Urban Ecology, 2006, 6:32-35.
[6]	YU F, LI H B, YU H Q, et al. Weather characteristics and simulation analysis on causes of air pollution in dalian[J]. China Environment Science, 2018, 38(10):3639-3646.
[7]	LI C, YUAN Z P, WU Y T, et al. Analysis of persistence and intensification mechanism of a heavy haze event in shenyang[J]. Research of Environmental Sciences, 2017, 30(3):349-358.
[8]	ZHANG L, GUO X M, ZHAO T L, et al. A modelling study of the terrain effects on haze pollution in the sichuan basin[J]. Atmospheric Environment, 2019, 196:77-85.
[9]	ZHANG Q. The influence of terrain and inversion layer on pollutant transfer over lanzhou city[J]. China Environment Science, 2001, 3(3):39-43.
[10]	LEE S, KIM J, CHOI M, et al. Analysis of long-range transboundary transport (lrtt) effect on korean aerosol pollution during the korus-aq campaign[J]. Atmospheric Environment, 2019, 204:53-67.
[11]	JUNG J, GHIM Y S, LYU Y S, et al. Quantification of regional contributions to fine particles at downwind areas under asian continental outflows during winter 2014[J]. Atmospheric Environment, 2019, 210:231-240.
[12]	MAHAPATRA P S, SINHA P R, BOOPATHY R, et al. Seasonal progression of atmospheric particulate matter over an urban coastal region in peninsular india:role of local meteorology and long-range transport[J]. Atmospheric Research, 2018, 199:145-158.
[13]	YE H, MA Y J, WANG X Q, et al. External influences in the haze episode in the central city group of liaoning:a case study[J]. Acta Scientiae Circumstantiae, 2013, 33(8):2115-2122.
[14]	SIDA Q. Reigonal transport of PM_2.5 and air polluyion characteristics for liaoning province using models-3/cmaq[D]. Shenyang:Liaoning University, 2018.
[15]	刘闽. 燃放烟花爆竹对沈阳春节期间空气质量影响研究[J]. 环境保护与循环经济, 2018, 38(6):57-60.
[16]	MA Y J, WANG J S, WANG Y F, et al. Pollution characteristics of inhalable particles PM₁₀ and PM_2.5 in the city group of middle liaoning province[J]. Journal of Meteorology and Environment, 2008, 5(5):11-15.
[17]	中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会环境空气质量标准:GB 3095-2012[S]. 北京:中国环境科学出版社, 2012.
[18]	DRAXLER R R, STUNDER B, ROLPH G, et al. Hysplit4 users guide[G]. 1999.
[19]	MA Y F, LU H, LIU H T. Trajectory calculation error assessment for HYSPLIT[J]. Journal of Nanjing University of Information Science & Technology(Natural Science Edition), 2015, 7(1):86-91.
[20]	WANG F, CHEN D S, CHENG S Y, et al. Impacts of air pollutant transport based on air trajectory clustering[J]. Research of Environmental Sciences, 2009, 22(6):637-642.
[21]	ABDALMOGITH S S, HARRISON R M J A E. The use of trajectory cluster analysis to examine the long-range transport of secondary inorganic aerosol in the uk[J]. Atmospheric Environment, 2005, 39(35):6686-6695.
[22]	SIROIS A, BOTTENHEIM J W. Use of backward trajectories to interpret the 5-year record of pan and o3 ambient air concentrations at kejimkujik national park, nova scotia[J]. Journal of Geophysical Research Atmospheres, 1995, 100(D2):2867-2881.
[23]	GRELL G A. Fully coupled ‘online’ chemistry within the wrf model[J]. Atmospheric Environment, 2005, 37(39):6957-6975.
[24]	FAST J D, GUSTAFSON W I, EASTER R C, et al. Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of houston using a fully coupled meteorology-chemistry-aerosol model[J]. Journal of Geophysical Research Atmospheres, 2006, 111(D21):3051-3030.
[25]	KEDIA S, CHERIAN R, ISLAM S, et al. Regional simulation of aerosol radiative effects and their influence on rainfall over india using wrfchem model[J]. Atmospheric Research, 2016, 182:232-242.
[26]	QIN H S, CHANG F Y, HAI B, et al. Numerical simulation of diurnal variation of major pollutants with WRF-CHEM model in tianjin[J]. China Environmental Science, 2008, 28(9):828-832.
[27]	ZHOU G Q, XIE Y, WU J B, et al. Wrf-chem based PM_2.5 forecast and bias analysis over the east china region[J]. China Environmental Science, 2016, 36(8):2251-2259.
[28]	HE H, TIE X X, ZHANG Q, et al. Analysis of the causes of heavy aerosol pollution in Beijing, China:a case study with the wrf-chem model[J]. Particuology, 2015, 20(3):32-40.
[29]	ŽABKAR R, HONZAK L, SKOK G, et al. Evaluation of the high resolution wrf-chem air quality forecast and its comparison with statistical ozone predictions[J]. Geoscientific Model Development, 2015, 8(2):1029-1075.
[30]	MAR K A, OJHA N, POZZER A, et al. Ozone air quality simulations with WRF-CHEM (V3.5.1) over europe:model evaluation and chemical mechanism comparison[J]. Geoscientific Model Development, 2016, 9(10):3699-3728.
[31]	KELLER A, BURTSCHER H. Characterizing particulate emissions from wood burning appliances including secondary organic aerosol formation potential[J]. Journal of Aerosol Science, 2017, 114:21-30.
[32]	SONG M D, LIU X G, TAN Q W, et al. Characteristics and formation mechanism of persistent extreme haze pollution events in Chengdu, southwestern China[J]. Environmental Pollution, 2019, 251:1-12.
[33]	李宗恺. 空间污染气象学原理及应用[M]. 北京:气象出版社, 1985.

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