2017—2021年哈长城市群臭氧时空分布特征

职业与健康 ›› 2023, Vol. 39 ›› Issue (15): 2108-2113.

2017—2021年哈长城市群臭氧时空分布特征

董小田, 侯庆泽, 鲁彦

佳木斯大学公共卫生学院,黑龙江佳木斯 154000

收稿日期:2023-01-09 修回日期:2023-02-20 发布日期:2026-03-24
通信作者: 鲁彦,教授,E-mail：jmsly@163.com
作者简介:董小田,女,在读硕士研究生,研究方向为劳动卫生与环境卫生学。
基金资助:
黑龙江省教育厅基本科研业务费基础研究项目（2019-kyywf-1367）; 大学生创新创业训练计划项目国家级一般项目（202210222058）

Temporal and spatial distribution characteristics of ozone in Harbin-Changchun urban agglomeration from 2017-2021

DONG Xiaotian, HOU Qingze, LU Yan

School of Public Health,Jiamusi University,Jiamusi Heilongjiang 154000,China

Received:2023-01-09 Revised:2023-02-20 Published:2026-03-24
Contact: LU Yan,Professor,E-mail：jmsly@163.com

摘要/Abstract

摘要： 目的分析哈长城市群臭氧（ozone,O₃）的时间、空间分布特征,并结合时间因素、空间因素、气象因素和大气污染物的影响,提出哈长城市群地区O₃污染防治策略及建议。方法收集2017—2021年哈长城市群大气污染物可吸入颗粒物（inhalable particles,PM₁₀）、细颗粒物（fine particulate matter,PM_2.5）、SO₂、CO、O₃、NO₂和气象条件（气温、气湿）数据,分析O₃时空分布特征及气象因素,大气污染物对O₃浓度的影响。结果 2017—2021年哈长城市群O₃日最大8 h平均浓度第90百分位数（O₃-8 h-P₉₀）从133.6 μg/m³下降到119.0 μg/m³,均未超过GB 3095—2012《环境空气质量标准》国家二级标准,2017年O₃超标天数最多。季节特征明显,在春季和夏季浓度高,秋季和冬季浓度低,除冬季外,其他季节均存在O₃超标;月度O₃平均浓度呈倒“V”型,O₃浓度在6—7月份达到峰值,在1、11和12月份O₃浓度最低。11个城市中O₃以四平-长春-吉林为高值中心,浓度向四周辐射降低。四平市超标天数最多为102 d;11个城市中四平市的O₃浓度最高,牡丹江市浓度最低。O₃浓度与PM_2.5、CO、NO₂及相对湿度呈负相关,与气温呈正相关,差异均有统计学意义（均P<0.05）。结论哈长城市群应该着重关注在四平、辽源和吉林市处于高温、低湿气象下的春夏季节、尤其是5—8月份O₃浓度高值时段的O₃防控。

关键词: 臭氧, 时空分布, 哈长城市群, 影响因素

Abstract: Objective To analyze the temporal and spatial distribution characteristics of ozone（O₃） in Harbin-Changchun urban agglomeration,propose strategies and suggestions for O₃ pollution prevention and control in Harbin-Changchun urban agglomeration on the combination of the influence of temporal factors,spatial factors,meteorological factors,and atmospheric pollutants. Methods The data of inhalable particles（PM₁₀）,fine particulate matter（PM_2.5）,SO₂,CO,O₃,NO₂,and meteorological conditions（temperature,air humidity） were collected from 2017 to 2021 in Harbin-Changchun urban agglomeration,to analyze the temporal and spatial distribution characteristics of O₃ and meteorological factors,and the influence of air pollutants on O₃ concentration. Results From 2017 to 2021,the 90th percentile of daily maximum 8 h average concentration of O₃（O₃-8 h-P₉₀） in Harbin-Changchun urban agglomeration decreased from 133.6 μg/m³ to 119.0 μg/m³,which did not exceed the national secondary standard of Ambient air quality standard（GB 3095-2012）. In 2017,the number of days of O₃ exceeding the standard was the highest. The seasonal characteristics were obvious,the concentrations in spring and summer were higher,while the concentrations in autumn and winter were lower. Except for winter,there were O₃ exceeding standards in other seasons. The monthly average O₃ concentration showed an inverted "V" shape,the O₃ concentration peaked from June to July,and the O₃ concentrations were the lowest in January,November and December. Among 11 cities,the O₃ concentration was high in Siping-Changchun-Jilin as center,and the concentration decreased radially towards the surrounding area. The number of days exceeding the standard in Siping City was the most,which was 102 days. Among the 11 cities,the O₃ concentration was the highest in Siping City and the lowest in Mudanjiang City. The O₃ concentration was negatively correlated with PM_2.5,CO,NO₂ and relative humidity,and extremely positively correlated with temperature,and the differences were statistically significant（all P<0.05）. Conclusion Harbin-Changchun urban agglomeration should focus on the O₃ prevention and control in spring and summer seasons under high temperature and low humidity in Siping,Liaoyuan and Jilin,especially during the period of high O₃ concentration from May to August.

Key words: Ozone, Temporal and spatial distribution, Harbin-Changchun urban agglomeration, Influencing factors

中图分类号:

R122

董小田, 侯庆泽, 鲁彦. 2017—2021年哈长城市群臭氧时空分布特征. [J]职业与健康, 2023, 39(15): 2108-2113.

DONG Xiaotian, HOU Qingze, LU Yan. Temporal and spatial distribution characteristics of ozone in Harbin-Changchun urban agglomeration from 2017-2021. [J]OCCUPATION AND HEALTH, 2023, 39(15): 2108-2113.

参考文献

[1] 唐孝炎,张远航,邵敏.大气环境化学[M].北京:高等教育出版社,2010:102-106.
[2] 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.
[3] 陈浪,赵川,关茗洋,等.我国大气臭氧污染现状及人群健康影响[J].环境与职业医学,2017,34(11):1025-1030.
[4] 赵伯毅. 呼和浩特市空气污染与妊娠疾病及不良出生结局关系研究[D].呼和浩特:内蒙古大学,2020.
[5] 王玫,郑有飞,柳艳菊,等.京津冀臭氧变化特征及与气象要素的关系[J].中国环境科学,2019,39(7):2689-2698.
[6] 董赵鑫,邢佳,丁点,等.长江三角洲区域细颗粒物和臭氧对前体物减排的响应及政策启示[J].科学通报,2022,67(18):2079-2088.
[7] 尹稚祯,王兴磊.珠三角城市群臭氧浓度时空变化特征分析[J].复旦学报(自然科学版),2020,59(6):748-760.
[8] 张萌铎,陈卫卫,高超,等.东北地区大气污染物源排放时空特征:基于国内外清单的对比分析[J].地理科学,2020,40(11):1940-1948.
[9] 中华人民共和国环境保护部,国家质量监督检验检疫总局.环境空气质量标准:GB 3095—2012[S].北京:中国环境科学出版社,2012:2-3.
[10] 中华人民共和国环境保护部,环境保护部科技标准司.环境空气质量评价技术规范(试行):HJ 663—2013[S].北京:中国环境科学出版社,2013:2-3.
[11] 中华人民共和国统计局.中国统计年鉴[M].北京:中国统计出版社,2020:46.
[12] 中华人民共和国统计局.中国统计年鉴[M].北京:中国统计出版社,2019:49.
[13] 胡元洁,张佳音,陈静.2016—2020年西安市近地面臭氧污染变化趋势及分布特征[J].中国环境监测,2022,38(3):74-82.
[14] 卫佩茹,邵天杰,黄小刚,等.2015—2018年东北地区臭氧浓度时空变化特征及其驱动因素研究[J].生态与农村环境学报,2020,36(8):988-997.
[15] KALABOKAS P,HJORTH J,FORET G,et al.An investigation on the origin of regional springtime ozone episodes in the western Mediterranean[J].Atmos Chem Phys,2017,17(6):3905-3928.
[16] 吴锴,康平,王占山,等.成都市臭氧浓度污染特征及气象成因研究[J].环境科学学报,2017,37(11):4241-4252.
[17] 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.
[18] 高成康,许庆江,邢玉红,等.冬季低温地区道路移动源大气污染物排放清单[J].东北大学学报(自然科学版),2019,40(9):1343-1349.
[19] 唐斌雁. 京津冀地区近地层臭氧和颗粒物污染相互影响研究[D].成都:成都信息工程大学,2018.
[20] 陈志青,邵天杰,赵景波,等.东北地区臭氧浓度空间格局演变规律及影响因素[J].环境科学学报,2020,40(9):3071-3080.
[21] 马文静. 西安主城区近地面大气中臭氧浓度时空分布特征分析[D].西安:西安建筑科技大学,2014.
[22] 刘彪,邹雨菲,赵子程.吉林省四平市雾霾天气成因及影响[J].河南农业,2016(26):45.
[23] 杨成江,张萌铎,王晓红,等.吉林省2015—2017年臭氧污染特征及成因分析[J].环境保护科学,2022,48(4):95-102.