2019~2022年华北平原典型地区不同污染等级和污染持续时间下的O<sub>3</sub>污染规律及来源

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (6162 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要选取地势复杂的日照市莒县为研究区域,基于2019~2022年莒县省控站点的O₃监测数据,按照不同O₃污染等级与不同O₃污染持续时间对莒县的O₃污染天进行分类,探究其污染规律,并采用后向轨迹模型(HYSPLIT)、潜在源分析(PSCF)和浓度权重轨迹分析法(CWT)识别不同O₃污染事件下的O₃来源.结果显示:2019~2021年莒县O₃轻度污染天数由72d下降到38d,2022年反弹,而中度污染天数变化不大;轻微污染天在轻度污染天中占比较高(21.4%~39.5%),表明轻度污染天的改善空间很大,强化轻微污染天管控措施,将有利于将轻度污染天转化为优良天,提高当地空气质量优良率. O₃污染过程持续时间越长(如³3d),污染发生的频率越低,而O₃浓度随污染持续时间的增加而升高. HYSPLIT模拟结果显示不同O₃污染等级和不同O₃污染持续时间的气团轨迹均以莒县东南方向为主,且以中、短距离传输为主,其中中度污染期间来自东南地区的O₃-8h-90%浓度最高[(250.0±65.9)μg/m³]. PSCF和CWT结果显示,O₃潜在源区主要分布在莒县东南方向,长江三角洲地区是莒县O₃污染的主要的潜在源区.研究结果对于指导莒县及周边区域的大气污染联防联控具有重要意义.

	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
	钱昱先
	王刚
	孟庆晓
	刘赛
	王永强

关键词 ：臭氧, 污染等级, 污染持续时间, 后向轨迹, 潜在源区

Abstract：This study selects Juxian, Rizhao with complex terrain as the research area. Based on O₃ monitoring data from provincial control stations in Juxian from 2019 to 2022, the O₃ pollution days were classified according to different O₃ pollution levels and durations. The pollution characteristics and sources of O₃ were explored using backward trajectory model (HYSPLIT), potential source contribution function (PSCF), and concentration weighted trajectory (CWT) models. Results showed that the number of mild pollution days of O₃ in Juxian decreased from 72 to 38 during the period of 2019 to 2021, while rebounded in 2022. The number of moderate pollution days of O₃ have little change. Slight pollution days of O₃ accounted for a high proportion of mild pollution days, with the contribution of 21.4%~39.5%, indicating a great potential for improvement for mild pollution days. Strengthening the control measures for slight pollution days will be beneficial for converting mild pollution days into excellent days and improving the local air quality excellence rate. The longer the duration of O₃ pollution (e.g.,≥3d), the lower the frequency of pollution occurrence, while the O₃ concentration increased with the extend of pollution duration. Simulation results of the HYSPLIT model revealed that the air mass trajectories of different O₃ pollution levels and durations were mainly distributed in the southeast of Juxian and transmitted over medium and short-distances. Besides, trajectories from the southeast of Juxian contained the highest concentration of O₃-8h-90% (250.0±65.9 μg/m³). The PSCF and CWT results showed that the potential source regions of O₃ were mainly distributed in the southeast of Juxian, with the main potential source region appearing in the Yangtze River Delta region. The results are of great significance for guiding the joint prevention and control of air pollution in Juxian and surrounding areas.

Key words： O₃ pollution level pollution duration backward trajectory potential source areas

收稿日期: 2023-12-07

PACS:

X511

基金资助:莒县环境空气质量提升服务项目(HX20230979)

通讯作者: 王永强,副教授,wangyq@upc.edu.cn E-mail: wangyq@upc.edu.cn

作者简介: 钱昱先(1997-),男,安徽蚌埠人,中国石油大学(华东)硕士研究生,主要从事大气污染防治的研究.18155280133@163.com.

引用本文:

钱昱先, 王刚, 孟庆晓, 刘赛, 王永强. 2019~2022年华北平原典型地区不同污染等级和污染持续时间下的O₃污染规律及来源[J]. 中国环境科学, 2024, 44(7): 3581-3591. QIAN Yu-xian, WANG Gang, MENG Qing-xiao, LIU Sai, WANG Yong-qiang. Characteristics and sources of O₃ pollution under different pollution levels and durations in typical areas of North China Plain from 2019 to 2022. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(7): 3581-3591.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I7/3581

[1] Zhao S P, Yin D Y, Yu Y, et al. PM_2.5 and O₃ pollution during 2015~2019 over 367 Chinese cities: Spatiotemporal variations, meteorological and topographical impacts [J]. Environmental Pollution, 2020,264:114694.
[2] 姜华,常宏咪.我国臭氧污染形势分析及成因初探[J]. 环境科学研究, 2021,34(7):1576-1582. Jiang H, Chang H M. Analysis of China's ozone pollution situation, preliminary investigation of causes and prevention and control recommendations [J]. Research of Environmental Sciences, 2021, 34(7):1576-1582.
[3] 陈多宏,沈劲,陈瑶瑶,等.2020年珠三角O₃污染特征及主要成因[J]. 中国环境科学, 2022,42(11):5000-5007. Chen D H, Sheng J, Chen Y Y, et al. Characteristics and main causes of ozone pollution in the Pearl River Delta in 2020[J]. China Environmental Science, 2022,42(11):5000-5007.
[4] Zeng P, Lyu X P, Guo H, et al. Causes of ozone pollution in summer in Wuhan, Central China [J]. Environmental Pollution, 2018,241: 852-861.
[5] Zhang X, Ma Q, Chu W H, et al. Identify the key emission sources for mitigating ozone pollution: A case study of urban area in the Yangtze River Delta region, China [J]. Science of The Total Environment, 2023,892:164703.
[6] 王浩琪,张裕芬,罗忠伟,等.基于EOF分解和KZ滤波的2019~2021年中国臭氧时空变化及驱动因素分析[J]. 环境科学, 2023,44(4): 1811-1820. Whang H Q, Zhang Y F, Luo Z W, et al. Spatial-temporal variation and driving factors of ozone in China from 2019 to 2021 based on EOF technique and KZ filter [J]. Environmental Science, 2023, 44(4):1811-1820.
[7] Wang W J, Parrish D D, Wang S W, et al. Long-term trend of ozone pollution in China during 2014~2020: Distinct seasonal and spatial characteristics and ozone sensitivity [J]. Atmospheric Chemistry and Physics, 2022,22(13):8935-8949.
[8] 孙银川,严晓瑜,缑晓辉,等.中国典型城市O₃与前体物变化特征及相关性研究[J]. 环境科学研究, 2020,33(1):44-53. Sun Y C, Yan X Y, Hou X H, et al. Characteristics and correlation of ozone and its precursors in typical cities in China [J]. Research of Environmental Sciences, 2020,33(1):44-53.
[9] 张明明,邵旻,陈培林,等.长三角地区VOCs排放特征及其对大气O₃和SOA的潜在影响[J]. 中国环境科学, 2023,43(6):2694-2702. Zhang M M, Shao M, Chen P L, et al. Characteristics of anthropogenic and biogenic VOCs emissions and their potential impacts on O₃ and SOA in the Yangtze River Delta region [J]. China Environmental Science, 2023,43(6):2694-2702.
[10] 林文鹏,郭欣瞳.中国城市群臭氧时空分布特征分析[J]. 中国环境科学, 2022,42(6):2481-2494. Lin W P, Guo X T. Spatial and temporal distribution characteristics of ozone in urban agglomerations in China [J]. China Environmental Science, 2022,42(6):2481-2494.
[11] 姜华,常宏咪.我国臭氧污染形势分析及成因初探[J]. 环境科学研究, 2021,34(7):1576-1582. Jiang H, Chang H M. Analysis of China's ozone pollution situation, preliminary investigation of causes and prevention and control recommendations [J]. Research of Environmental Sciences, 2021, 34(7):1576-1582.
[12] Wang M Y, Yim S H L, Wong D C, et al. Source contributions of surface ozone in China using an adjoint sensitivity analysis [J]. Science of The Total Environment, 2019,662:385-392.
[13] Li J H, Deng S X, Tohti A, et al. Spatial characteristics of VOCs and their ozone and secondary organic aerosol formation potentials in autumn and winter in the Guanzhong Plain, China [J]. Environmental Research, 2022,211:113036.
[14] 张树宪,李洋,张众志,等.基于CMAQ/ISAM空气质量模型的北京市夏季O₃来源解析研究[J]. 环境科学研究, 2022,35(5):1183-1192. Zhang S X, Li Y, Zhang Z Z, et al. Source apportionment of ozone in summer in Beijing based on CMAQ/ISAM air quality model [J]. Research of Environmental Sciences, 2022,35(5):1183-1192.
[15] Yang W Y, Chen H S, Wang W D, et al. Modeling study of ozone source apportionment over the Pearl River Delta in 2015[J]. Environmental Pollution, 2019,253:393-402.
[16] 钱朋,朱彬,刘慧敏,等.汾渭平原至黄土高原不同海拔高度地区近地面臭氧浓度差异[J]. 中国环境科学, 2023,43(1):77-87. Qian P, Zhu B, Liu H M, et al. Analysis on the difference of near-surface ozone concentration between the Fenwei Plain and the Loess Plateau at different altitudes [J]. China Environmental Science, 2023,43(1):77-87.
[17] 康平,张梓桓,王天琦,等.南亚高压对四川盆地夏季区域持续性O₃污染的影响[J]. 中国环境科学, 2022,42(12):5484-5496. Kang P, Zhang Z H, Wang T Q, et al. Effects of South Asian High Pressure on regional persistent ozone pollution in Sichuan Basin during summer [J]. China Environmental Science, 2022,42(12): 5484-5496.
[18] Wang G, Zhu Z Y, Zhao N, et al. Variations in characteristics and transport pathways of PM_2.5 during heavy pollution episodes in 2013~2019 in Jinan, a central city in the north China Plain [J]. Environmental Pollution, 2021,284:117450.
[19] Zhang H Y, Cheng S Y, Wang X Q, et al. Continuous monitoring, compositions analysis and the implication of regional transport for submicron and fine aerosols in Beijing, China [J]. Atmospheric Environment, 2018,195:30-45.
[20] Liu Y H, Wang H L, Jing S G, et al. Characteristics and sources of volatile organic compounds (VOCs) in Shanghai during summer: Implications of regional transport [J]. Atmospheric Environment, 2019,215:116902.
[21] Jiang Y C, Zhao T L, Tan C H, et al. Haze pollution in the unstable atmospheric boundary layer over the west bank of Taiwan strait induced by regional transport of PM_2.5 [J]. Earth and Space Science, 2022,9(10):e2022EA002505.
[22] Liu Y H, Wang H L, Jing S G, et al. Characteristics and sources of volatile organic compounds (VOCs) in Shanghai during summer: Implications of regional transport [J]. Atmospheric Environment, 2019,215:116902.
[23] Zhang Y Y, Lang J L, Cheng S Y, et al. Chemical composition and sources of PM₁ and PM_2.5 in Beijing in autumn [J]. Science of the Total Environment, 2018,630:72-82.
[24] Ren B, Xie P H, Xu J, et al. Use of the PSCF method to analyze the variations of potential sources and transports of NO₂, SO₂, and HCHO observed by MAX-DOAS in Nanjing, China during 2019[J]. Science of the Total Environment, 2021,782:146865.
[25] Wang G, Zhu Z Y, Liu Z L, et al. Ozone pollution in the plate and logistics capital of China: Insight into the formation, source apportionment, and regional transport [J]. Environmental Pollution (Barking, Essex: 1987), 2022,313:120144.
[26] Zhang Z N, Man H Y, Duan F K, et al. Evaluation of the VOC pollution pattern and emission characteristics during the Beijing resurgence of COVID-19 in summer 2020 based on the measurement of PTR-TOF-MS [J]. Environmental Research Letters, 2022,17(2): 024002.
[27] Guan Y N, Shen Y, Liu X Y, et al. Correction to: Important revelations of different degrees of COVID‑19 lockdown on improving regional air quality: a case study of Shijiazhuang, China [J]. Environmental Science and Pollution Research, 2023,30(8):21326-21326.
[28] Fu D L, Shi X F, Zuo J X, et al. Why did air quality experience little improvement during the COVID-19lockdown in megacities, northeast China? [J]. Environmental Research, 2023,221:115282.
[29] 亓浩雲,王晓琦,程水源.人为排放及气象因素对空气质量影响的定量分析——以疫情期间邢台市为例[J]. 中国环境科学, 2022,42(8): 3512-3521. Qi H Y, Wang X Q, Chen S Y. Quantitative analysis of the impact of anthropogenic emissions and meteorological factors on air quality: Cases during the epidemic in Xingtai City [J]. China Environmental Science, 2022,42(8):3512-3521.
[30] Wang P F, Chen K Y, Zhu S Q, et al. Severe air pollution events not avoided by reduced anthropogenic activities during COVID- 19outbreak [J]. Resources, Conservation & Recycling, 2020,158: 104814.
[31] 张家熙,韩晶晶,尹立,等.中国主要城市疫情管控期间大气环境改善效应研究[J]. 中国环境监测, 2022,38(5):123-133. Zhang J X, Han J J, Ying L, et al. Study on the improvement effect of atmospheric environment during epidemic control in major cities in China [J]. Environmental Monitoring in China, 2022,38(5):123-133.
[32] Wang G, Zhu Z Y, Zhao N, et al. Variations in characteristics and transport pathways of PM_2.5 during heavy pollution episodes in 2013~2019 in Jinan, a central city in the north China plain [J]. Environmental Pollution, 2021,284:117450.
[33] 夏佳琦,陈强,刘晓,等.乌海市臭氧传输特征与潜在源区[J]. 环境科学学报, 2021,41(8):3012-3020. Xia J Q, Chen Q, Liu X, et al. Transport characteristics and potential source of ozone in Wuhai [J]. Acta Scientiae Circumstantiae, 2021, 41(8):3012-3020.
[34] Shen L J, Liu J, Zhao T L, et al. Atmospheric transport drives regional interactions of ozone pollution in China [J]. Science of The Total Environment, 2022,830:154634.
[35] Su T N, Li Z Q, Zheng Y T, et al. Abnormally shallow boundary layer associated with severe air pollution during the COVID‐19lockdown in China [J]. Geophysical Research Letters, 2020,47(20): e2020GL090041.