中国臭氧时空分异及热点城市群气象关联特征

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1943 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要基于2018~2020年臭氧的日最大8h滑动平均值(O₃-8h),采用空间自相关分析、暴露风险评估和多元线性回归等方法,研究了全国337个城市O₃的时空分异及其人口加权的暴露风险特征,识别了热点城市群并解析了热点城市群O₃的气象关联特征.结果表明:O₃具有显著的空间聚集特征,其中浓度高于160 μg/m³(国家二级浓度限值,GB3095-2012)、超标率高于20%和人口加权暴露风险等级为高的区域主要集中在京津冀城市群(BTH-UA)、中原城市群(CP-UA)和长江三角州城市群(YRD-UA).其次,2018~2020年月均O₃-8h变化呈“M型”分布,各年最高值分别出现在6月、9月和5月,月均ρ(PM_2.5),ρ(NO₂),ρ(SO₂)和ρ(CO-95)均呈现“W型”分布,并且在12月和1月达到最高值,与O₃均呈现明显的负相关关系;月均ρ(PM_2.5),ρ(NO₂),ρ(SO₂)和ρ(CO-95)与O₃-8h线性拟合直线的拟合系数(R²)分别为0.68,0.52,0.38和0.66.最后,基于多元统计法分析了热点城市群的气象因素关联,结果表明:各城市群O₃-8h与日均温度(T)、日照时数(S)和日降水量(R)相关性较强,与日均相对湿度(RH)、日均气压(p)和日均风速(v)的相关性较弱,说明3个城市群的主控气象因子为T、S和R;另外,T越高、S越长,RH、p、v和R越低,越有利于O₃浓度的增加;不同气象因素区间对O₃-8h的影响体现出了“一群一征”的特点.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李飞
	孔少杰
	屈志光
	闫晶晶
	郭锦媛
	周媛媛
	欧昌宏

关键词 ：臭氧(O₃), 时空演变, 城市群, 气象因素, 回归分析

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

收稿日期: 2022-08-17

PACS:

X515

基金资助:国家社会科学基金资助项目(19CGL042);国家自然科学基金资助项目(71804196)

通讯作者: 李飞,教授,lifei@zuel.edu.cn E-mail: lifei@zuel.edu.cn

作者简介: 李飞(1986-),男,河北迁安人,教授,博士,主要研究方向为环境监测、环境健康风险管理、环境与健康大数据、环境修复技术.发表论文100余篇.lifei@zuel.edu.cn.

引用本文:

李飞, 孔少杰, 屈志光, 闫晶晶, 郭锦媛, 周媛媛, 欧昌宏. 中国臭氧时空分异及热点城市群气象关联特征[J]. 中国环境科学, 2023, 43(4): 1539-1549. LI Fei, KONG Shao-jie, QU Zhi-guang, YAN Jing-jing, GUO Jin-yuan, ZHOU Yuan-yuan, OU Chang-hong. Spatiotemporal differentiation of ozone pollution in Chinese cities and meteorological correlation among the identified hot urban agglomeration during 2018 to 2020. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(4): 1539-1549.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/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.