青岛市PM<sub>2.5</sub>重污染天气演变过程分析

Abstract
Figure/Table
References (37)
Related Citation (15)

Download: PDF (1656 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

WRF-CMAQ model was used to simulate a severe PM_2.5 pollution episode in Qingdao from 1 to 7 January, 2016, and the major factors influencing the formation, persistence and removal of the severe PM_2.5 pollution were analyzed. The model reasonably reproduced the temporal and spatial variation of PM_2.5 concentration and meteorological conditions. Under the influence of persistent southwest airflow during the severe pollution formation period, PM_2.5 and its precursors were transported to Qingdao from the South of Shandong, Anhui and Jiangsu province. These pollutants continued to accumulate in Qingdao due to the favorable meteorological conditions such as the occurrence of inversion layer and reduced planetary boundary layer height. PM_2.5 and its precursors transported to Qingdao area from the Beijing-Tianjin-Hebei region and the Northwestern Shandong during the severe pollution persistence period, which originated from the Southwestern Shandong, north of Anhui and east of Henan province. In addition, numerous secondary aerosols were formed during the aqueous phase chemistry process, leading to persistently high PM_2.5 concentration of more than 200μg/m³. During the severe pollution removal period, the wind speed was increased and thus enhancing the horizontal transport, the PM_2.5 was transported to the downwind areas. Regional transport was a major contributor to the severe PM_2.5 pollution, accounting for 87.0%, 68.5% and 57.6% during the three periods, respectively.

Key words： WRF-CMAQ PM_2.5 severe pollution process analysis regional transport

Received: 07 March 2017

PACS:

X513

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHANG Qiang
	XUE Di
	WANG Shuang
	WANG Lin-hui
	WANG Jing
	MA Yan
	LIU Xiao-huan

Cite this article:

ZHANG Qiang,XUE Di,WANG Shuang等. Analysis on the evolution of PM_2.5 heavy air pollution process in Qingdao[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(10): 3623-3635.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2017/V37/I10/3623

[1]	杨孝文,周颖,程水源,等.北京冬季一次重污染过程的污染特征及成因分析[J]. 中国环境科学, 2016,36(3):679-686.
[2]	尉鹏,任阵海,王文杰,等.2014年10月中国东部持续重污染天气成因分析[J]. 环境科学研究, 2015,28(5):676-683.
[3]	王郭臣,王东启,陈振楼.北京冬季严重污染过程的PM2.5污染特征和输送路径及潜在源区[J]. 中国环境科学, 2016,36(7):1931-1937.
[4]	Kan H, Chen R, Tong S. Ambient air pollution, climate change, and population health in China[J]. Environment International, 2012,42:10-19.
[5]	Raaschou-Nielsen O, Andersen Z J, Beelen R, et al. Air pollution and lung cancer incidence in 17European cohorts:prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)[J]. The Lancet Oncology, 2013,14(9):813-822.
[6]	朱佳雷,王体健,邢莉,等.江苏省一次重霾污染天气的特征和机理分析[J]. 中国环境科学, 2011,31(12):1943-1950.
[7]	李锋,朱彬,安俊岭,等.2013年12月初长江三角洲及周边地区重霾污染的数值模拟[J]. 中国环境科学, 2015,35(7):1965-1974.
[8]	江琪,王飞,张恒德,等.北京市PM2.5和反应性气体浓度的变化特征及其与气象条件的关系[J]. 中国环境科学, 2017,37(3):829-837.
[9]	Li J, Han Z. A modeling study of severe winter haze events in Beijing and its neighboring regions[J]. Atmospheric Research, 2016,170:87-97.
[10]	Zheng G J, Duan F K, Su H, et al. Exploring the severe winter haze in Beijing:the impact of synoptic weather, regional transport and heterogeneous reactions[J]. Atmospheric Chemistry and Physics, 2015,15(6):2969-2983.
[11]	徐虹,肖致美,孔君,等.天津市冬季典型大气重污染过程特征[J]. 中国环境科学, 2017,37(4):1239-1246.
[12]	Wang X, Chen J, Sun J, et al. Severe haze episodes and seriously polluted fog water in Ji'nan, China[J]. Science of the Total Environment, 2014,493:133-137.
[13]	Kang H, Zhu B, Su J, et al. Analysis of a long-lasting haze episode in Nanjing, China[J]. Atmospheric Research, 2013, 120:78-87.
[14]	Wang Y, Gao S, Fu G, et al. Assimilating MTSAT-derived humidity in nowcasting sea fog over the Yellow Sea[J]. Weather and forecasting, 2014,29(2):205-225.
[15]	Guo J, Li P, Fu G, et al. The structure and formation mechanism of a sea fog event over the Yellow Sea[J]. Journal of Ocean University of China, 2015,14(1):27-37.
[16]	Tang M, Zhu T. Heterogeneous reactions of gaseous methanesulfonic acid with NaCl and sea salt particles[J]. Science in China Series B:Chemistry, 2009,52(1):93-100.
[17]	Yang M, Huebert B J, Blomquist B W, et al. Atmospheric sulfur cycling in the southeastern Pacific-longitudinal distribution, vertical profile, and diel variability observed during VOCALSREx[J]. Atmospheric Chemistry and Physics, 2011,11(10):5079-5097.
[18]	Facchini M C, Decesari S, Rinaldi M, et al. Important source of marine secondary organic aerosol from biogenic amines[J]. Environmental Science & Technology, 2008,42(24):9116-9121.
[19]	Lei Y, Zhang Q, He K B, et al. Primary anthropogenic aerosol emission trends for China, 1990~2005[J]. Atmospheric Chemistry and Physics, 2011,11(3):931-954.
[20]	Zhang Q, Streets D G, He K, et al. Major components of China's anthropogenic primary particulate emissions[J]. Environmental Research Letters, 2007,2(4):045027.
[21]	Lin Y, Farley R D, Orville H D. Bulk parameterization of the snow field in a cloud model[J]. Journal of Climate and Applied Meteorology, 1983,22(6):1065-1092.
[22]	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):16663-16682.
[23]	Chou M, Suarez M J. A solar radiation parameterization for atmospheric studies[M]. NASA Technical Memorandum, 1999, 15:1-38.
[24]	Obukhov A M. Turbulence in an atmosphere with a non-uniform temperature[J]. Boundary-Layer Meteorology, 1971,2(1):7-29.
[25]	Dudhia J. A multi-layer soil temperature model for MM5[C]. 1996.
[26]	Hong S, Noh Y, Dudhia J. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Monthly Weather Review, 2006,134(9):2318-2341.
[27]	Liu X, Zhang Y, Xing J, et al. Understanding of regional air pollution over China using CMAQ, part Ⅱ. Process analysis and sensitivity of ozone and particulate matter to precursor emissions[J]. Atmospheric Environment, 2010,44(30):3719-3727.
[28]	Liu P, Zhang Y, Yu S, et al. Use of a process analysis tool for diagnostic study on fine particulate matter predictions in the US-Part Ⅱ:Analyses and sensitivity simulations[J]. Atmospheric Pollution Research, 2011,2(1):61-71.
[29]	Fan Q, Lan J, Liu Y, et al. Process analysis of regional aerosol pollution during spring in the Pearl River Delta region, China[J]. Atmospheric Environment, 2015,122:829-838.
[30]	Xing J, Zhang Y, Wang S, et al. Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics[J]. Atmospheric Environment, 2011,45(10):1786-1798.
[31]	Streets D G, Fu J S, Jang C J, et al. Air quality during the 2008 Beijing Olympic games[J]. Atmospheric Environment, 2007, 41(3):480-492.
[32]	Wang L T, Wei Z, Yang J, et al. The 2013severe haze over southern Hebei, China:model evaluation, source apportionment, and policy implications[J]. Atmospheric Chemistry and Physics, 2014,14(6):3151-3173.
[33]	Han X, Zhang M, Tao J, et al. Modeling aerosol impacts on atmospheric visibility in Beijing with RAMS-CMAQ[J]. Atmospheric Environment, 2013,72:177-191.
[34]	王凌慧,曾凡刚,向伟玲,等.空气重污染应急措施对北京市PM2.5的削减效果评估[J]. 中国环境科学, 2015,35(8):2546-2553.
[35]	Liu X G, Li J, Qu Y, et al. Formation and evolution mechanism of regional haze:a case study in the megacity Beijing, China[J]. Atmospheric Chemistry and Physics, 2013,13(9):4501-4514.
[36]	Sun Y, Wang Z, Fu P, et al. The impact of relative humidity on aerosol composition and evolution processes during wintertime in Beijing, China[J]. Atmospheric Environment, 2013,77:927-934.
[37]	Zheng G J, Duan F K, Su H, et al. Exploring the severe winter haze in Beijing:the impact of synoptic weather, regional transport and heterogeneous reactions[J]. Atmospheric Chemistry and Physics, 2015,15(6):2969-2983.