CAUSE ANALYSIS OF A HEAVY PM<sub>2.5</sub> POLLUTION PROCESS OCCURED IN SHENYANG

ZHAO Hui-jie; MA Yun-feng; WANG Shuai; LIU Qi-yao; WEI Xiang-nan

doi:10.13205/j.hjgc.202209005

Volume 40 Issue 9

Nov. 2022

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ZHAO Hui-jie, MA Yun-feng, WANG Shuai, LIU Qi-yao, WEI Xiang-nan. CAUSE ANALYSIS OF A HEAVY PM2.5 POLLUTION PROCESS OCCURED IN SHENYANG[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 33-43. doi: 10.13205/j.hjgc.202209005

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ZHAO Hui-jie, MA Yun-feng, WANG Shuai, LIU Qi-yao, WEI Xiang-nan. CAUSE ANALYSIS OF A HEAVY PM_2.5 POLLUTION PROCESS OCCURED IN SHENYANG[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 33-43. doi: 10.13205/j.hjgc.202209005

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CAUSE ANALYSIS OF A HEAVY PM_2.5 POLLUTION PROCESS OCCURED IN SHENYANG

doi: 10.13205/j.hjgc.202209005

1. School of Energy and Environment, Shenyang Aerospace University, Shenyang 110136, China;
2. Shenyang Ecological Environment Monitoring Center, Shenyang 110165, China

Received Date: 2021-12-07
Available Online: 2022-11-09

Abstract

Abstract

Using meteorological and environmental monitoring data, the pollution events, concentration variation characteristics and pollutant correlation of PM_2.5 in Shenyang from 2015 to 2018 were analyzed. Using WRF-Chem and HYSPLIT model, a pollution process in Shenyang in 2018 was analyzed from the aspects of meteorological elements, high-altitude circulation situation and pollution transmission characteristics. The results indicated that the monthly concentration showed the characteristics of V-shaped, with a sequence of winter>spring>autumn>summer, and the daily concentration showed the characteristics of double peak. Correlation analysis showed that temperature(-0.3666) and relative humidity(-0.1158) were the main meteorological factors affecting PM_2.5 concentration, while PM₁₀(0.9964) and NO₂(0.7242) were the main pollutants. From January 26^th to 28^th in 2018, a heavy pollution process occurred in Shenyang. At the beginning of the pollution, the high-altitude circulation was flat, the warm advection in front of the shallow trough was dominant, the ground was controlled by a weak high-pressure pressure equalizing field, the ground wind speed was dominated by the static and light wind, and the wind field convergence was conducive to the accumulation of pollutants. In the development process of pollution, the increase of ground relative humidity was conducive to the growth of particle moisture absorption; the thickness of ground and high-altitude inversion layer were large, and then the pollution was intensified. In the weakening process of pollution, the inversion layer disappeared, the stratification was stable, and the vertical diffusion conditions turned better. The accumulation of local pollutants and external transmission under static and stable meteorological conditions were the main reason of the heavy pollution.
- Shenyang,
- PM_2.5,
- WRF-Chem,
- HYSPLIT

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References(43)

References

[1]	田鹏山,褚艳玲,吴锋,等.深圳市东北部PM_2.5的变化特征及潜在传输来源[J].广东气象,2017,39(3):65-68.
[2]	王燕丽,薛文博,雷宇,等.京津冀地区典型月O₃污染输送特征[J].中国环境科学,37(10):3684-3691.
[3]	薛凡利,牛红亚,武振晓,等.邯郸市PM_2.5和PM₁₀中有机碳与元素碳的污染特征[J].环境化学,2021,40(10):3246-3257.
[4]	赵妤希,陈义珍,杨欣,等.2018年3月两会期间北京重污染过程边界层气象的演变分析[J].环境科学研究,2019,32(9):1492-1499.
[5]	郑冬,阎守政.基于激光雷达垂直观测技术的大连市臭氧污染过程分析[J].云南化工,2021,48(9):74-78.
[6]	庄欣,黄晓锋,陈多宏,等.基于日变化特征的珠江三角洲大气污染空间分布研究[J].中国环境科学,2017,37(6):2001-2006.
[7]	马学款,张碧辉,桂海林,等.APEC前后北京几次静稳天气边界层特征对比分析[J].气象.2017,43(11):1364-1373.
[8]	欧金萍,刘浩然,朱鹏程,等.合肥秋季气溶胶光学特性及来源分析[J].光谱学与光谱分析,2021,41(10):3014-3020.
[9]	祁宏,张小玲,康平,等.COVID-19疫情期间成都市地面臭氧污染特征及气象成因分析[J].环境科学学报,2021,41(10):4200-4211.
[10]	孙天乐,何凌燕,何龙,等.深圳冬季边界层大气中污染物垂直分布特征[J].环境科学学报,2019,39(1):64-71.
[11]	刘娜,余晔,张莉燕,等.2016—2018年西宁市颗粒物来源及输送差异分析[J].环境科学学报,2021,41(10):4212-4227.
[12]	刘宁微,权维俊,任万辉,等.辽宁地区O₃污染状况及相关气象要素分析[J].气象与环境学报.2021,27-33.
[13]	李树岭,花丛,赵玲,等.哈尔滨秋季一次持续性重污染过程分析[J].气象与环境学报,2019,35(4):25-32.
[14]	SHU L,XIE M,GAO D,et al.Regional severe particle pollution and its association with synoptic weather patterns in the Yangtze River Delta region,China[J].Atmospheric Chemistry and Physics,2017,17(21):12871-12891.
[15]	刘启龙.云南省蒙自市2020年春季一次持续污染过程特征分析[J].四川环境,2021,40(5):95-101.
[16]	刘瑞琪,贾海鹰.北京地区气象条件与区域传输对PM_2.5浓度影响研究[J].环境监测管理与技术,2021,33(5):16-20.
[17]	李莹.泉州市洛江区夏季大气VOCs污染特征及臭氧污染立体移动溯源分析[J].福建轻纺,2021,(11):19-23.
[18]	张建忠,李坤玉,王冠岚,等.京津冀4次重度污染过程的气象要素分析[J].气象与环境科学,2016,39(1):19-25.
[19]	梁晓宇,单春艳,孟瑶,等.唐山一次冬季重污染过程污染特征及成因分析[J].中国环境科学,2019,39(5):1804-1812.
[20]	张志刚,矫梅燕,毕宝贵,等.沙尘天气对北京大气重污染影响特征分析[J].环境科学研究,2009,22(3):309-314.
[21]	洪也,杨婷,王喜全,等.辽宁中部城市群灰霾污染的外来影响[J].气候与环境研究,2015,20(6):675-684.
[22]	张小曳,徐祥德,丁一汇,等.2013—2017年气象条件变化对中国重点地区PM_2.5质量浓度下降的影响[J].中国科学:地球科学,2020,50(4):483-500.
[23]	杨磊,陈传雷,曹世腾,等.2015年11月沈阳地区一次PM_2.5重污染过程综合分析[J].气象与环境学报,2019,35(3):37-44.
[24]	中国生态环境部.2018空气生态环境状况会报[R].北京:2019.
[25]	LI M,ZHANG Q,KUROKAWA J I,et al.MIX:a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP[J].Atmospheric Chemistry and Physics,2017,17(2):935-963.
[26]	MLAWER E J,TAUBMAN S J,BROWN P D,et al.Radiative transfer for inhomogeneous atmospheres:RRTM,a validated correlated-k model for the longwave[J].Journal of Geophysical Research:Atmospheres,1997,102(D14).
[27]	CHEN F,DUDHIA J.Coupling an advanced land surface-hydrology model with the penn state-NCAR MM5 modeling system.Part Ⅰ:model Implementation and Sensitivity[J].Monthly Weather Review,2001,129:569-585.
[28]	HONG S Y,NOH Y,DUDHIA J.A new vertical diffusion package with an explicit treatment of entrainment processes[J].Monthly Weather Review,2005,134(9):2318.
[29]	潘晨,康志明.2001—2019年气象条件对江苏省PM_2.5分布的影响[J].环境科学,2022(2):649-662.
[30]	杨雨灵,谭吉华,孙家仁,等.华北地区一次强灰霾污染的天气学效应[J].气候与环境研究,2015,20(5):555-570.
[31]	侯素霞,张鉴达,李静.上海市大气污染物时空分布及其相关性因子分析[J].生态环境学报,2021,30(6):9.
[32]	WANG C L,WANG Y Y,SHI Z H,et al.Effects of using different exposure data to estimate changes in premature mortality attributable to PM_2.5 and O₃ in China[J].Environmental Pollution,2021,285:117242-117242.
[33]	WU J S,WANG Y,LIANG J T,et al.Exploring common factors influencing PM_2.5 and O₃ concentrations in the Pearl River Delta:tradeoffs and synergies[J].Environmental Pollution,2021,285:117138-117138.
[34]	MA S M,SHAO M,ZHANG Y F,et al.Sensitivity of PM_2.5 and O₃ pollution episodes to meteorological factors over the North China Plain[J].Science of the Total Environment,2021,792:148474-148474.
[35]	丁淑琴,吴家平,万学平,等.常熟市秋冬季典型大气重污染过程中PM_2.5及其主要化学组分分析[J].环境工程,2020,38(3):142-147.
[36]	李树岭,花丛,赵玲,等.哈尔滨秋季一次持续性重污染过程分析[J].气象与环境学报,2019,35(4):25-32.
[37]	刘瑞琪,贾海鹰.北京地区气象条件与区域传输对PM_2.5浓度影响研究[J].环境监测管理与技术,2021,33(5):16-20.
[38]	史珺,赵玉洁.天津市东丽区一次持续性雾霾天气过程的特征及影响要素分析[J].气象与环境学报,2021,37(5):8-12.
[39]	张芊,马彩云,马明月,等.兰州典型沙尘污染过程分析[J].环境保护科学,2021,47(5):44-49.
[40]	张琴,姚秀萍.鲁中地区霾期间气溶胶的垂直分布及其与气象条件的关系[J].气象,2021,47(9):1099-1112.
[41]	周增春,岳存桂,李瑞涛.西南地区空气质量变化规律和发展趋势研究:以西双版纳州景洪市为例[J].环境生态学,2021,3(9):83-87.
[42]	段云霞,李得勤,田莉,等.沈阳市一次持续性重污染天气过程特征分析[J].干旱气象,2016,34(5):803-810.
[43]	张宸赫,赵天良,陆忠艳,等.沈阳地区一次颗粒物重污染天气过程的气象成因分析[J].环境保护科学,2021,47(1):97-103.