2013—2018年大连中心城区臭氧时空变化及其影响因子分析

doi:10.3969/j.issn.1673-503X.2022.03.009

Abstract

Abstract:

Based on the O₃ monitoring data and meteorological data in the central area of Dalian from 2013 to 2018, the temporal and spatial characteristics of O₃ pollution in this area and its responses to the meteorological influencing factors were analyzed.The results indicated that O₃ has gradually become one of the most important air pollutants in the central city of Dalian during the past 6 years, and its annual average concentration rises from 66.66 μg·m^-3 in 2013 to 101.62 μg·m^-3 in 2018.In terms of temporal changes, the concentration of O₃ is higher in autumn and summer than in winter and spring and is highest in May, June, and September.In addition, the O₃ concentration begins to rise at 08:00.and maintains a peak during 14:00-16:00, showing an obvious single peak shape on a daily time scale and is higher in the daytime than in nighttime.In terms of spatial distribution, O₃ pollutants spread from the southwest to the northeast from 2013 to 2017.Moreover, O₃ in the study area has a negative correlation with the other 5 air pollutants to different degrees and is significantly and positively correlated with temperature and slightly correlated with relative humidity, air pressure, and wind speed.The optimal meteorological conditions for O₃ pollution are mainly air temperature above 30 ℃, relative humidity below 80 %, wind speed between 1.5 to 2.0 m·s^-1, north wind direction, and long sunshine duration.High pollution days are probably induced by high temperatures and increasing local emissions.

Key words: Ozone, Temperature, Relative humidity, Wind speed

CLC Number:

X515

Rui-feng MA,Jing-hong XV,Liang-zheng YAN. Spatio-temporal changes and influencing factors of ozone in the central area of Dalian during 2013-2018[J]. Journal of Meteorology and Environment, 2022, 38(3): 75-84.

Figures/Tables 10

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Table 1

Fig.8

Fig.9

References 28

1	Monks P S , Archibald A T , Colette A , et al. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer[J]. Atmospheric Chemistry and Physics, 2015, 15 (15): 8889- 8973.
2	Sarkar A, Datta S, Singh P. Tropospheric ozone pollution, agriculture, and food security[M]//Singh R P, Singh A, Srivastava V. Environmental issues surrounding human overpopulation. Hershey PA, USA: IGI Global, 2016: 233-252.
3	Lal S , Naja M , Subbaraya B H . Seasonal variations in surface ozone and its precursors over an urban site in India[J]. Atmospheric Environment, 2000, 34 (17): 2713- 2724. doi: 10.1016/S1352-2310(99)00510-5
4	Wei W , Cheng S Y , Li G H , et al. Characteristics of ozone and ozone precursors (VOCs and NO_x) around a petroleum refinery in Beijing, China[J]. Journal of Environmental Sciences, 2014, 26 (2): 332- 342. doi: 10.1016/S1001-0742(13)60412-X
5	Lehman J , Swinton K , Bortnick S , et al. Spatio-temporal characterization of tropospheric ozone across the eastern United States[J]. Atmospheric Environment, 2004, 38 (26): 4357- 4369. doi: 10.1016/j.atmosenv.2004.03.069
6	Hertig E , Schneider A , Peters A , et al. Association of ground-level ozone, meteorological factors and weather types with daily myocardial infarction frequencies in Augsburg, Southern Germany[J]. Atmospheric Environment, 2019, 217 (15): 116975.
7	周学思, 廖志恒, 王萌, 等. 2013-2016年珠海地区臭氧浓度特征及其与气象因素的关系[J]. 环境科学学报, 2019, 39 (1): 143- 153.
8	李莉莉, 王隆, 刘喜平, 等. 哈尔滨市臭氧时空分布特征及气象要素的关系[J]. 中国环境科学, 2020, 40 (5): 1991- 1999. doi: 10.3969/j.issn.1000-6923.2020.05.016
9	张莉, 花家嘉, 王猛, 等. 唐山地区污染气体分布特征及气象要素关系分析研究[J]. 环境科学与管理, 2019, 44 (5): 133- 140. doi: 10.3969/j.issn.1673-1212.2019.05.029
10	安俊琳, 王跃思, 孙扬. 气象因素对北京臭氧的影响[J]. 生态环境学报, 2009, 18 (3): 944- 951. doi: 10.3969/j.issn.1674-5906.2009.03.027
11	吕婧, 杏艳, 李毅辉, 等. 西安市O₃时空分布及影响因子研究[J]. 环境保护科学, 2020, 46 (1): 142- 146.
12	Ding A J , Fu C B , Yang X Q , et al. Ozone and fine particle in the western Yangtze River Delta: an overview of 1 yr data at the SORPES station[J]. Atmospheric Chemistry and Physics, 2013, 13 (11): 5813- 5830. doi: 10.5194/acp-13-5813-2013
13	赵伟, 高博, 刘明, 等. 气象因素对香港地区臭氧污染的影响[J]. 环境科学, 2019, 40 (1): 55- 66.
14	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. doi: 10.1016/j.scitotenv.2016.10.081
15	蒋璐璐, 钱燕珍, 杜坤, 等. 宁波市近地层臭氧浓度变化及预测[J]. 气象与环境学报, 2016, 32 (1): 53- 59.
16	余钟奇, 马井会, 毛卓成, 等. 2017年上海臭氧污染气象条件分析及臭氧污染天气分型研究[J]. 气象与环境学报, 2019, 35 (6): 46- 54. doi: 10.3969/j.issn.1673-503X.2019.06.007
17	郑庆锋, 史军, 董广涛, 等. 上海地区AQI变化特征及与气象因素的相关性[J]. 气象与环境学报, 2019, 35 (5): 53- 62. doi: 10.3969/j.issn.1673-503X.2019.05.007
18	包艳英, 徐洁, 唐伟, 等. 大连市夏季近地面臭氧污染数值模拟和控制对策研究[J]. 中国环境监测, 2018, 34 (1): 9- 19.
19	包艳英, 徐洁, 张明明, 等. 大连市臭氧污染特征及典型污染日成因[J]. 中国环境监测, 2017, 33 (4): 167- 178.
20	付晓燕, 姜峰. 东北地区-大连臭氧浓度分布与影响因素研究[J]. 环境科学与管理, 2014, 39 (8): 38- 41.
21	谈昌蓉, 郭晓宁, 陈奇, 等. 西宁近地面臭氧特征及其影响因素[J]. 干旱气象, 2019, 37 (1): 31- 39.
22	刘玉彻, 徐敬, 王淑凤, 等. 影响北京夏季O₃污染的O₃前体物浓度及天气条件分析[J]. 气象与环境学报, 2006, 22 (6): 34- 37.
23	马伟, 王章玮, 郭佳, 等. 一个沿海城市大气臭氧的本地生成过程及其对前体物的敏感性[J]. 环境科学学报, 2019, 39 (11): 3593- 3599.
24	霍俊涛, 王新宁, 段玉森, 等. 2015-2017年上海郊区大气新粒子生成特征[J]. 环境科学, 2019, 40 (11): 4791- 4800.
25	孟丽红, 李英华, 韩素芹, 等. 海陆风对天津市PM_2.5和O₃质量浓度的影响[J]. 环境科学研究, 2019, 32 (3): 390- 398.
26	谢放尖, 李文青, 卢宁川, 等. 南京一次暴雪过程大气污染特征分析[J]. 气象与环境学报, 2015, 31 (2): 9- 14.
27	于世杰, 尹沙沙, 张瑞芹, 等. 郑州市近地面臭氧污染特征及气象因素分析[J]. 中国环境监测, 2017, 33 (4): 140- 149.
28	Kavassalis S C , Murphy J G . Understanding ozone-meteorology correlations: A role for dry deposition[J]. Geophysical Research Letters, 2017, 44 (6): 2922- 2931.

	O₃	PM_2.5	PM₁₀	SO₂	NO₂	CO	T	AP	RH	WS
O₃	1	-	-	-	-	-	-	-	-	-
PM_2.5	-0.18^**	1	-	-	-	-	-	-	-	-
PM₁₀	-0.14^**	0.90^**	1	-	-	-	-	-	-	-
SO₂	-0.43^**	0.44^**	0.39^**	1	-	-	-	-	-	-
NO₂	-0.46^**	0.61^**	0.59^**	0.56^**	1	-	-	-	-	-
CO	-0.15^**	0.73^**	0.65^**	0.43^**	0.63^**	1	-	-	-	-
T	0.54^**	-0.14^**	-0.14^**	-0.46^**	-0.22^**	-0.12^**	1	-	-	-
AP	-0.27^**	0.03^**	0.02^**	0.22^**	0.13^**	0.06^**	-0.45^**	1	-	-
RH	0.03^**	0.09^**	-0.02^**	-0.16^**	-0.18^**	0.08^**	0.10^**	-0.08^**	1	-
WS	0.11^**	-0.08^**	-0.06^**	-0.09^**	-0.28^**	-0.15^**	-0.13^**	0.04^**	0.02^**	1

[1]	Han LIANG,Qi YAN,Shuang LI,Chen-he ZHANG,Ya-xin YU,Ge HUANG,Hong-yu SUN,Ming-gang SANG. Fine analysis of causes of an early-morning abnormal temperature rise in Shenyang in 2019 [J]. Journal of Meteorology and Environment, 2022, 38(3): 45-51.
[2]	XIAO Yuan-jun, LI Bao-shan, SONG Wen-dan, CHENG Yong-xiang, HUANG Jing-feng. The impact of concentration change of PM_2.5 on air temperature in China during 1998-2016 [J]. Journal of Meteorology and Environment, 2022, 38(3): 85-92.
[3]	QI Duo, LIU Song-tao, ZHAO Guang-na, GAO Meng-zhu. Predictive temperature deviation correction in winter half year based on multimodal integration [J]. Journal of Meteorology and Environment, 2022, 38(3): 119-126.
[4]	LOU De-jun, PAN Xin-nong, WANG Ji, ZHANG Xue-mei, GAO Zhen-duo. Study on temperature prediction in Harbin based on slow feature analysis method [J]. Journal of Meteorology and Environment, 2022, 38(3): 150-155.
[5]	Ying-ying MENG, Shu-ling LI, Ling ZHAO, Xue-mei BAI, Min-hui YAN. Validation of three forecast products of air temperature in Heilongjiang province [J]. Journal of Meteorology and Environment, 2022, 38(2): 21-30.
[6]	Xiao-dong ZHANG,Guan WANG,Xiu-ling WANG,Fen-e CUI,Yan-ping ZHENG. Characteristics of ozone pollution and its relationship with meteorological conditions from 2016 to 2019 in Tangshan [J]. Journal of Meteorology and Environment, 2022, 38(2): 62-69.
[7]	Liang-chen MA,Hong-bo MA,Xi-dan ZHANG,Zi-jian CHEN,Jiang-bo LI. Analysis of phase characteristics of a precipitation process in Zhangjiakou area of Winter Olympic Games [J]. Journal of Meteorology and Environment, 2022, 38(1): 1-7.
[8]	Wei-jie LI,Hu-jia ZHAO,Quan-liang CHEN,Lin-chang AN,Jie ZHANG,Xu-xin WANG. Variation characteristics of air pollutants in Sichuan region during January-March of 2020 [J]. Journal of Meteorology and Environment, 2022, 38(1): 15-22.
[9]	Tong-hui GU,Xiao-dan GUAN,Zhao-kui GAO,Xiao-qian HUANG,Shu-yang GUO. Correlation analysis of evapotranspiration with air temperature, precipitation, and wind speed over the Yellow River Basin [J]. Journal of Meteorology and Environment, 2022, 38(1): 48-56.
[10]	Chuan-bo FU, Li DAN, Wen-shuai XU, Li-jun LIU. Characteristics of ozone pollution and synoptic classifications in Hainan province from 2015 to 2018 [J]. Journal of Meteorology and Environment, 2021, 37(6): 27-35.
[11]	Yan LI,Han SAI,Ting HUANG,Yan GAO. Characteristics of extratropical cyclones affecting Dalian and causes of outbreak cyclones in spring during 2010 to 2019 [J]. Journal of Meteorology and Environment, 2021, 37(6): 53-61.
[12]	Zhuo-ma DANZENG, Jie-bu WANGDUI, Qiu-lu SANG, Ze-ren DAWA, Dol-ma DAN. Characteristics and cause analysis of a local explosive fog in north Tibet [J]. Journal of Meteorology and Environment, 2021, 37(5): 1-7.
[13]	Ning-wei LIU, Wei-jun QUAN, Wan-hui REN, Xiao-lan LI, Li-guang LI, Di WANG. Ozone pollution and the related effects of meteorological factors in Liaoning province, China [J]. Journal of Meteorology and Environment, 2021, 37(5): 27-33.
[14]	Yan-jie LIU,Qing-chuan WANG,Min XU,He-ling ZHOU. Characteristics and causes of a high precipitation supercell in Beijing in May of 2019 [J]. Journal of Meteorology and Environment, 2021, 37(4): 9-17.
[15]	Bo ZHANG,Chao YU,Wei HUANG,Chuan-lei CHEN. Effect of persistent blocking in Eurasian on temperature and precipitation in June in Greater Khingan Mountains and the precursor signal of temperature [J]. Journal of Meteorology and Environment, 2021, 37(4): 63-69.

Spatio-temporal changes and influencing factors of ozone in the central area of Dalian during 2013-2018

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 28

Related Articles 15

Metrics

Comments

Recommended 10