中国臭氧时空分异及热点城市群气象关联特征

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1943 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Based on the daily maximum 8h moving average surface ozone (O₃-8h) from 2018 to 2020, spatial autocorrelation analysis, exposure risk assessment and multiple linear regression analysis were used to study the spatiotemporal differentiation of O₃ and population-weighted O₃ exposure risk characteristics in Chinese 337 cities. The hot urban agglomerations were identified and the meteorological correlation characteristics of O₃ were analyzed in the hot urban agglomerations. The results showed that O₃ had significant spatial aggregation, with a concentration higher than 160μg/m³ (GB3095-2012), an exceedence rate higher than 20%, and the regions with high population-weighted exposure risk level were mainly concentrated in Beijing-Tianjin-Hebei Urban Agglomeration (BTH-UA), Central Plains Urban Agglomeration (CP-UA) and Yangtze River Delta Urban Agglomeration (YRD-UA). Secondly, the monthly O₃-8h change in 2018~2020 showed “M” distribution, the highest value appeared in June, September and May, respectively. Monthly average ρ(PM_2.5), ρ(NO₂), ρ(SO₂) and ρ(CO-95) showed “W” distribution, and reached the peak in December and January. Linearly fitting straight-line coefficients (R²) for monthly average ρ(PM_2.5), ρ(NO₂), ρ(SO₂) and ρ(CO-95) with O₃-8h were 0.68, 0.52, 0.38 and 0.66, respectively. Finally, the association of meteorological factors in the hot urban agglomerations was analyzed based on multiple statistical method. The results showed that O₃-8h were strongly associated with average daily temperature (T), sunshine duration (S) and daily precipitation (R), and a weak correlation with average daily relative humidity (RH), average daily pressure (p) and average daily wind speed (v), indicated that the main meteorological factors were T, S and R in the three urban agglomerations. Moreover, the higher T and S, the lower RH, p, v and R, the more favorable O₃ concentration and the influence of different meteorological factors on O₃-8h reflected the characteristics of “An urban agglomeration is a feature”.

Key words： ozone (O₃) spatiotemporal differentiation urban agglomeration meteorological factors regression analysis

Received: 17 August 2022

PACS:

X515

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LI Fei
	KONG Shao-jie
	QU Zhi-guang
	YAN Jing-jing
	GUO Jin-yuan
	ZHOU Yuan-yuan
	OU Chang-hong

Cite this article:

LI Fei,KONG Shao-jie,QU Zhi-guang等. Spatiotemporal differentiation of ozone pollution in Chinese cities and meteorological correlation among the identified hot urban agglomeration during 2018 to 2020[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(4): 1539-1549.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I4/1539

[1]	Liu H, Liu S, Xue B, et al. Ground level ozone pollution and its health impacts in China[J]. Atmospheric Environment, 2018,173:223-230.
[2]	Lu X, Hong J, Zhang L, et al. Severe surface ozone pollution in China:a global perspective[J]. Environmental Science and Technology Letters, 2018,5(8):487-494.
[3]	中华人民共和国生态环境部. 2018中国生态环境状况公报[R]. 北京:中华人民共和国生态环境部, 2019. Ministry of Ecology and Environment of the People's Republic of China. 2018 China ecological and environment bulletin[R]. Beijing:Ministry of Ecology and Environment of the People's Republic of China, 2019.
[4]	廖志恒,范绍佳.2006~2012年珠江三角洲地区O3污染对人群健康的影响[J]. 中国环境科学, 2015,35(3):897-905. Liao Z H, Fan S J. Human health impact exposure to ozone pollutant in Pearl River Delta region during 2006~2012[J]. China Environmental Science, 2015,35(3):897-905.
[5]	曾贤刚,阮芳芳,姜艺婧.中国臭氧污染的空间分布和健康效应[J]. 中国环境科学, 2019,39(9):4025-4032. Zeng X G, Ruan F F, Lou Y J. Spatial distribution and health effects of ozone pollution in China[J]. China Environmental Science, 2019, 39(9):4025-4032.
[6]	Wang T, Xue L K, Brimblecombe P, et al. Ozone pollution in China:a review of concentrations, meteorological influences, chemical precursors, and effects[J]. Science of the Total Environment, 2017, 575:1582-1596.
[7]	谢静晗,李飒,肖钟湧.50年来中国臭氧总量时空变化特征[J]. 中国环境科学, 2022,42(7):2977-2987. Xie J H, Li S, Xiao Z Y. Investigating the temporal and spatial variabilities of total ozone over China for the past 50years[J]. China Environmental Science, 2022,42(7):2977-2987.
[8]	张秀丽,陶士康,董韶妮,等.臭氧污染特征及影响因素研究[J]. 环境科学与管理, 2022,47(2):47-50,66. Zhang X L, Tao S K, Dong S N, et al. Study on the characteristics and influencing factors of ozone pollution[J]. Environmental Science and Management, 2022,47(2):47-50,66.
[9]	张咪,张宇,李坤鹏,等.赤壁市臭氧污染特征及气象影响因素分析[J]. 环境科学与技术, 2021,44(11):18-24. Zhang M, Zhang Y, Li K P, et al. Distribution characteristics of ozone and associated meteorological factors in Chibi, Hubei[J]. Environmental Science and Technology, 2021,44(11):18-24.
[10]	张淼,丁椿,李彦,等.山东省O3时空分布及影响因素分析[J]. 环境科学, 2021,42(12):5723-5735. Zhang M, Ding C, Li Y, et al. Spatial and temporal distribution of O3and influencing factors in Shandong Province[J]. Environmental Science, 2021,42(12):5723-5735.
[11]	钱悦,许彬,夏玲君,等.2016~2019年江西省臭氧污染特征与气象因子影响分析[J]. 环境科学, 2021,42(5):2190-2201. Qian Y, Xu B, Xia L J, et al. Characteristic of ozone pollution and relationships with meteorological factors in Jiangxi province[J]. Environmental Science, 2021,42(5):2190-2201.
[12]	Xia N, Du E Z, Guo Z D, et al. The diurnal cycle of summer tropospheric ozone concentrations across Chinese cities:Spatial patterns and main drivers[J]. Environmental Pollution, 2021,286:117547-117547.
[13]	何超,慕航,杨璐,等.中国暖季近地面臭氧浓度空间格局演变及主要气象驱动因素[J]. 环境科学, 2021,42(9):4168-4179. He C, Mu H, Yang L, et al. Spatial variation of surface ozone concentration during the warm season and its meteorological driving factors in China[J]. Environmental Science, 2021,42(9):4168-4179.
[14]	李婷苑,陈靖扬,翁佳烽,等.广东省臭氧污染天气型及其变化特征[J]. 中国环境科学, 2022,42(5):2015-2024. Li T Y, Chen J Y, Weng J F, et al. Ozone pollution synoptic patterns and their variation characteristics in Guangdong province[J]. China Environmental Science, 2022,42(5):2015-2024.
[15]	张宇静,赵天良,殷翀之,等.徐州市大气PM2.5与O3作用关系的季节变化[J]. 中国环境科学, 2019,39(6):2267-2272. Zhang Y J, Zhao T L, Yin C Z, et al. Seasonal variation of the relationship between surface PM2.5 and O3 concentrations in Xuzhou[J]. China Environmental Science, 2019,39(6):2267-2272.
[16]	Tang X, Gao X, Li C L, et al. Study on spatiotemporal distribution of airborne ozone pollution in subtropical region considering socioeconomic driving impacts:A case study in Guangzhou, China[J]. Sustainable Cities and Society. 2020,54:101989.
[17]	张天岳,沈楠驰,赵雪,等.2015~2019年成渝城市群臭氧浓度时空变化特征及人口暴露风险评价[J]. 环境科学学报, 2021,41(10):4188-4199. Zhang T Y, Shen N C, Zhao X, et al. Spatiotemporal variation characteristics of ozone and its population exposure risk assessment in Chengdu-Chongqing urban agglomeration during 2015 to 2019[J]. Acta Scientiae Circumstantiae, 2021,41(10):4188-4199.
[18]	GB 3095-2012 环境空气质量标准[S]. GB 3095-2012 Ambient air quality standards[S].
[19]	HJ 663-2013 环境空气质量评价技术规范(试行)[S]. HJ 663-2013 Technical regulation for ambient air quality assessment (on trial)[S].
[20]	周明卫,康平,汪可可,等.2016~2018年中国城市臭氧浓度时空聚集变化规律[J]. 中国环境科学, 2020,40(5):1963-1974. Zhou M W, Kang P, Wang K K, et al. The spatio-temporal aggregation pattern of ozone concentration in China from 2016 to 2018[J]. China Environmental Science, 2020,40(5):1963-1974.
[21]	Anselin L. Local Indicators of Spatial Association-LISA[J]. Geographical Analysis, 2010,27(2):93-115.
[22]	伏晴艳,阚海东.城市大气污染健康危险度评价的方法第四讲大气污染的暴露评价第二节大气扩散模型及人口加权的大气污染暴露评价(续四)[J]. 环境与健康杂志, 2004,21(6):414-416. Fu Q Y, Kan H D. Methods for health risk assessment of urban air pollution, unit 4:Air pollution exposure assessment, section 2:Dispersion model and population-weighted air pollution exposure assessment[J]. Journal of Environment and Health, 2004,21(6):414-416.
[23]	宋晓辉,杜亮亮,李剑东,等.邯郸采暖期环境污染特征及空气质量预报方法研究[J]. 生态与农村环境学报, 2020,36(8):998-1005. Song X H, Du L L, Li J D, et al. Study on characteristics of environmental pollution and methods of air quality prediction during heating period in Handan city[J]. Journal of Ecology and Rural Environment, 2020,36(8):998-1005.
[24]	刘炳江.加强PM2.5和臭氧协同控制深入打好蓝天保卫战[J]. 中国环境监察, 2021,69(12):40-43. Liu B J. Strengthen the coordinated control of PM2.5 and ozone Fight to keep our skies blue[J]. China Environment Supervision, 2021,69 (12):40-43.
[25]	Tavella R A, Fernandes C L F, Penteado J O, et al. Unexpected reduction in ozone levels in a mid-size city during COVID-19lockdown[J]. International Journal of Environmental Health Research, 2021,32(8):1801-1814.
[26]	Kotelnikov S N, Anomalous E V. Anomalous dynamics of tropospheric ozone in the spring of 2020in central Russia[J]. Bulletin of the Lebedev Physics Institute, 2021,48(3):92-96.
[27]	张鸿宇,王媛,卢亚灵,等.我国臭氧污染控制分区及其控制类型识别[J]. 中国环境科学, 2021,41(9):4051-4059. Zhang H Y, Wang Y, Lu Y L, et al. Identification of ozone pollution control zones and types in China[J]. China Environmental Science, 2021,41(9):4051-4059.
[28]	樊文雁,蔡子颖,姚青,等.区域输送对天津臭氧污染的影响[J]. 中国环境科学, 2022,42(11):4991-4999. Fan W Y, Cai Z Y, Yao Q, et al. Effect of regional transport on ozone pollution in Tianjin[J]. China Environmental Science. 2022,42(11):4991-4999.
[29]	Ling C H, Li Y F. Substantial changes of gaseous pollutants and health effects during the COVID-19lockdown period across China[J]. GeoHealth, 2021,5(5):e2021GH000408.
[30]	Liu C W, Huang Z W, Huang J P, et al. Comparison of PM2.5 and CO2 concentrations in large cities of China during the COVID-19lockdown[J]. Advances in Atmospheric Sciences, 2022,39(6):861-875.
[31]	黄小刚,邵天杰,赵景波,等.气象因素和前体物对中国东部O3浓度分布的影响[J]. 中国环境科学, 2019,39(6):2273-2282. Huang X G, Shao T J, Zhao J B, et al. Impact of meteorological factors and precursors on spatial distribution of ozone concentration in eastern China[J]. China Environmental Science, 2019,39(6):2273-2282.
[32]	Blanchard C L, Fairley D. Spatial mapping of VOC and NOx-limitation of ozone formation in central California[J]. Atmospheric Environment, 2002,35(22),3861-3873.
[33]	Bai L Y, Feng J Z, Li Z W, et al. Spatiotemporal dynamics of surface ozone and its relationship with meteorological factors over the Beijing-Tianjin-Tangshan region, China, from 2016 to 2019[J]. Sensors, 2022,22(13):4854.
[34]	梁俊宁,马启翔,汪平,等.陕西省西咸新区空港新城夏季臭氧与气象因子关系分析[J]. 生态环境学报, 2019,28(10):2020-2026. Liang J N, Ma Q X, Wang P, et al. Analysis of the relationship between ozone and meteorological factors in summer at airport new city of Xi Xian new area, China[J]. Ecology and Environmental Sciences, 2019, 28(10):2020-2026.
[35]	谈建国,陆国良,耿福海,等.上海夏季近地面臭氧浓度及其相关气象因子的分析和预报[J]. 热带气象学报, 2007,23(5):515-520. Tan J G, Lu G L, Geng F H, et al. Analysis and prediction of surface O3concentration and related meteorological factors in summer time in urban area of Shanghai[J]. Journal of Tropical Meteorology, 2007, 23(5):515-520.
[36]	崔梦瑞,白林燕,冯建中,等.京津唐地区臭氧时空分布特征与气象因子的关联性研究[J]. 环境科学学报, 2021,41(2):373-385. Cui M, Bai L, Feng J, et al. Analysis of temporal and spatial variations of ozone coupling with dynamics of meteorological factors in the Beijing-Tianjin-Tangshan region[J]. Acta Scientiae Circumstantiae, 2021,41(2):373-385.
[37]	Yu Y, Wang Z, He T, et al. Driving factors of the significant increase in surface ozone in the Yangtze River Delta, China, during 2013~2017[J]. Atmospheric Pollution Research, 2019,10(4):1357-1364.
[38]	Chen B, Yang X B, Xu J J. Spatio-temporal variation and influencing factors of ozone pollution in Beijing[J]. Atmosphere, 2022,13(2):359-359.
[39]	刘超,董俊玲,田力,等.2017年郑州市臭氧浓度特征及气象因素分析[J]. 气象与环境科学, 2022,45(4):33-38. Liu C, Dong J L, Tian L, et al. Analysis of ozone concentration characteristics and meteorological factors in Zhengzhou in 2017[J]. Meteorological and Environmental Science, 2022,45(4):33-38.
[40]	Tian J Q, Fang C S, Qiu J X, et al. Analysis of ozone pollution characteristics and influencing factors in northeast economic cooperation region, China[J]. Atmosphere, 2021,12(7):843.
[41]	薛莲,徐以飞,刘岳峰,等.青岛市春季一次臭氧污染过程特征及成因分析[J]. 环境科学与技术, 2021,44(S1):161-165. Xue L, Xu Y F, Liu Y F, et al. Characteristics and cause of an ozone pollution process in Qingdao in spring[J]. Environmental Science & Technology, 2021,44(S1):161-165.