珠江三角洲PM<sub>2.5</sub>和O<sub>3</sub>复合污染过程的数值模拟

Abstract
Figure/Table
References (32)
Related Citation (15)

Download: PDF (2703 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

WRF-Chem model was used to analyze the characteristics and formation mechanism of a pollution episode with high concentrations of PM_2.5 and O₃ over the Pearl River Delta (PRD) region on October 27, 2014. It was found that the stable weather condition which was favorable for the accumulation of air pollutants occurred over the PRD region because of a high-pressure ridge in 850hPa height and a high-pressure system in the ground. The western PRD regions, including southern Zhaoqing, Foshan and northern Jiangmen, were the most polluted areas due to the easterly prevailing winds. The high O₃ concentrations in southern Zhaoqing and northern Jiangmen were associated with gas phase photochemistry, while the high O₃ levels in Foshan were related to physical processes. Photochemical O₃ formation in areas with high O₃ levels was VOCs-limited, and VOCs transported from urban centers and biogenic VOCs from local emissions in Jiangmen was conducive to photochemical O₃ formation. On the other hand, the high concentration of PM_2.5 was related to its high initial concentrations, as well as the high production rates of secondary inorganic aerosol (i.e., sulfates and nitrates) through the oxidation of SO₂ and NO₂. The increment for the concentrations of sulfates and nitrates were mainly related to local generation and regional transport, respectively.

Key words： Pearl River Delta WRF-Chem complex air pollution

Received: 24 April 2017

PACS:

X511

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LAI An-qi
	CHEN Xiao-yang
	LIU Yi-ming
	JIANG Ming
	WANG Xue-mei
	WEI Xiao-lin
	FAN Qi

Cite this article:

LAI An-qi,CHEN Xiao-yang,LIU Yi-ming等. Numerical simulation of a complex pollution episode with high concentrations of PM_2.5 and O₃ over the Pearl River Delta region, China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(11): 4022-4031.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2017/V37/I11/4022

[1]	邓涛,吴兑,邓雪娇,等.珠江三角洲一次典型复合型污染过程的模拟研究[J]. 中国环境科学, 2012,32(2):193-199.
[2]	廖志恒,孙家仁,范绍佳,等.2006~2012年珠三角地区空气污染变化特征及影响因素[J]. 中国环境科学, 2015,35(2):329-336.
[3]	刘一鸣,洪莹莹,张舒婷,等.珠江三角洲秋季典型气溶胶污染的过程分析[J]. 中国环境科学, 2014,34(12):3017-3025.
[4]	Meng Z, Dabdub D, Seinfeld J H. Chemical coupling between atmospheric ozone and particulate matter[J]. Science, 1997, 277:116-119.
[5]	Real E, Sartelet K. Modeling of photolysis rates over Europe:impact on chemical gaseous species and aerosols[J]. Atmospheric Chemistry & Physics, 2011,11(4):1711-1727.
[6]	Dickerson R R, Kondragunta S, Stenchikov G, et al. The impact of aerosols on solar ultraviolet radiation and photochemical smog[J]. Science, 1997,278:827-830.
[7]	朱彤,尚静,赵德峰.大气复合污染及灰霾形成中非均相化学过程的作用[J]. 中国科学:化学, 2010,40(12):1731-1740.
[8]	Li Y, An J L, Kajino M, et al. Impacts of additional HONO sources on O3 and PM2.5 chemical coupling and control strategies in the Beijing-Tianjin-Hebei region of China[J]. Tellus Series B-chemical & Physical Meteorology, 2015,67(23930).
[9]	蔡彦枫,王体健,谢旻,等.南京地区大气颗粒物影响近地面臭氧的个例研究[J]. 气候与环境研究, 2013,18(2):251-260.
[10]	李莉.典型城市群大气复合污染特征的数值模拟研究[D]. 上海:上海大学, 2013.
[11]	王占山,张大伟,李云婷,等.北京市夏季不同O3和PM2.5污染状况研究[J]. 环境科学, 2016,37(3):807-815.
[12]	Grell G A, Peckham S E, Schmitz R, et al. Fully coupled "online" chemistry within the WRF model[J]. Atmospheric Environment, 2005,39(37):6957-6975.
[13]	薛文博,王金南,杨金田,等.国内外空气质量模型研究进展[J]. 环境与可持续发展, 2013,38(3):14-20.
[14]	Zaveri R A, Peters L K. A new lumped structure photochemical mechanism for large-scale applications[J]. Journal of Geophysical Research Atmospheres, 1999,104(D23):30387-30415.
[15]	Zaveri R A, Easter R C, Fast J D, et al. Model for simulating aerosol interactions and chemistry (MOSAIC)[J]. Journal of Geophysical Research Atmospheres, 2008,113(D13):1395-1400.
[16]	Wild O, Zhu X, Prather M J. Fast-J:Accurate simulation of in-and below-cloud photolysis in tropospheric chemical models[J]. Journal of Atmospheric Chemistry, 2000,37(3):245-282.
[17]	Zheng J Y, Zhang L J, Che W W, et al. A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment[J]. Atmospheric Environment, 2009,43(32):5112-5122.
[18]	Guenther A, Karl T, Harley P, et al. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature)[J]. Atmospheric Chemistry and Physics, 2006,6:3181-3210.
[19]	蓝静.2013.珠三角区域气溶胶污染及低能见度过程的数值模拟[D]. 广州:中山大学, 2013.
[20]	何心河,马建中,徐敬,等.2014年10月京津冀地区一次PM2.5污染过程的数值模拟[J]. 气象, 2016,42(7):827-837.
[21]	GB/T 3095-2012环境空气质量标准[S].
[22]	郑君瑜,张礼俊,钟流举,等.珠江三角洲大气面源排放清单及空间分布特征[J]. 中国环境科学, 2009,29(5):455-460.
[23]	张亮,朱彬,高晋徽,等.长江三角洲夏季一次典型臭氧污染过程的模拟[J]. 环境科学, 2015,36(11):3981-3988.
[24]	唐孝炎,张远航,邵敏.大气环境化学(第二版)[M]. 北京:高等教育出版社, 2006.
[25]	常明,刘晓环,刘明旭,等.非采暖期和采暖期青岛市及中国东部臭氧和细颗粒物模拟研究[J]. 中国海洋大学学报自然科学版, 2016,46(2):14-25.
[26]	樊少芬.筛选适合珠三角秋季臭氧分区控制的化学指示剂[D]. 广州:中山大学, 2014.
[27]	Sillman S, He D. Some theoretical results concerning O3-NOx-VOC chemistry and NOx-VOC indicators[J]. Journal of Geophysical Research Atmospheres, 2002,107(D22):ACH 26-1-ACH 26-15.
[28]	Qu Y, An J L, Li J, et al. Effects of NOx and VOCs from five emission sources on summer surface O3 over the Beijing-Tianjin-Hebei region[J]. Advances in Atmospheric Sciences, 2014,31:787-800.
[29]	Situ S, Guenther A, Wang X, et al. Impacts of seasonal and regional variability in biogenic VOC emissions on surface ozone in the Pearl River delta region, China[J]. Atmospheric Chemistry and Physics, 2013,13(23):11803-11817.
[30]	王莹.晋城市环境空气二氧化硫、氮氧化物与硫酸盐、硝酸盐相互关系的研究[D]. 太原:太原理工大学, 2012.
[31]	An J L, Ying L, Yong C, et al, Enhancements of major aerosol components due to additional HONO sources in the North China Plain and implications for visibility and haze[J]. Advances in Atmospheric Sciences, 2013,30(1):57-66.
[32]	Ohta S, Okita T. A chemical characterization of atmospheric aerosol in Sapporo[J]. Atmospheric Environment, 1990,24(4):815-822.