2016—2019年唐山市臭氧污染及其与气象条件的关系

doi:10.3969/j.issn.1673-503X.2022.02.008

Abstract

Abstract:

Based on the hourly data of O₃ concentration and meteorological data in Tangshan from 2016 to 2019, the characteristics of O₃ pollution and its relationship with meteorological conditions were analyzed.The results show that the number of days when the concentration of O₃ exceeds the threshold value in Tangshan is 53 days in 2016 and that in 2017 to 2019 is more than 70 days per year, so the pollution degree is high.The monthly average concentration of O₃ shows a bimodal distribution.The concentration of O₃ is the highest (with 112.26 μ g ·m^-3) in June, followed by September.The days with the concentration of O₃ exceeding the standard occur from March to October, and mostly happen in summer, followed by spring and autumn.The concentration of O₃ reaches its maximum at 15:00, and shows a unimodal distribution during the day.O₃ concentration is positively correlated with temperature and wind speed, and negatively correlated with relative humidity.High temperature is an important factor leading to excessive concentration of O₃.When the daily maximum temperature exceeds 25℃, it should be considered that the concentration of O₃ exceeds the standard.When the relative humidity is about 50% and ranges from 60% to 80%, the overstandard rate of O₃ concentration is more than 30%.When the relative humidity is 60% to 70%, the average concentration of O₃-8h reaches the maximum.The over standard rate of O₃ concentration in summer and autumn is related to the surface breeze and lower mixing layer height during the daytime.When the average wind speed during the day is greater than 1 m · s^-1 and less than or equal to 4 m ·s^-1, the overstandard rate of O₃ concentration is higher.The weather situation prone to moderate or above O₃ pollution is influenced by northwest airflow or high-pressure ridge at 500 hPa, and southwest or south airflow passes through at 850 hPa.The ground is mostly in the rear of high pressure, front of the low pressures, or convergence area of low pressure.

Key words: Ozone concentration exceeded the standard value, Ozone pollution, Meteorological conditions

CLC Number:

X515

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.

Figures/Tables 11

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Table 2

Table 3

Table 4

Fig.5

Fig.6

Table 5

References 36

1	陶双成, 邓顺熙, 高硕晗, 等. 北京采暖期典型区域环境空气污染特征分析[J]. 生态环境学报, 2016, 25 (11): 1741- 1747.
2	孟晓艳, 余予, 张志富, 等. 2013年1月京津冀地区强雾霾频发成因初探[J]. 环境科学与技术, 2014, 37 (1): 190- 194.
3	王冠岚, 薛建军, 张建忠. 2014年京津冀空气污染时空分布特征及主要成因分析[J]. 气象与环境科学, 2016, 39 (1): 34- 42.
4	温维, 韩力慧, 代进, 等. 唐山夏季PM_2.5污染特征及来源解析[J]. 北京工业大学学报, 2014, 40 (5): 751- 758.
5	温维, 韩力慧, 陈旭峰, 等. 唐山市PM_2.5理化特征及来源解析[J]. 安全与环境学报, 2015, 15 (2): 313- 318.
6	赵娜, 马翠平, 李洋, 等. 河北重度污染天气分型及其气象条件特征[J]. 干旱气象, 2017, 35 (5): 839- 846.
7	王秀玲, 花嘉家, 李轩, 等. 2015-2017年唐山市PM_2.5重污染生消气象条件分析[J]. 气象与环境学报, 2020, 36 (4): 45- 51. doi: 10.3969/j.issn.1673-503X.2020.04.006
8	张浩杰, 高健, 孙孝敏, 等. 唐山市2017年采暖期不同污染等级PM_2.5化学组分特征对比与来源分析[J]. 环境科学研究, 2019, 32 (5): 776- 786.
9	齐梦溪, 赵文慧, 孙爽, 等. 2014-2016年北京市PM_2.5污染时空分布特征[J]. 生态环境学报, 2019, 28 (1): 97- 105.
10	尹晓梅, 孙兆彬, 郭淳薇, 等. 2016年12月京津冀一次重污染天气过程分析[J]. 生态环境学报, 2017, 26 (12): 2071- 2083.
11	杨娜, 王春迎, 刘孟雄, 等. 洛阳市臭氧污染特征及其与气象因子的关系[J]. 气象与环境科学, 2019, 42 (4): 90- 95.
12	余益军, 孟晓燕, 王振, 等. 京津冀地区城市臭氧污染趋势及原因探讨[J]. 环境科学, 2020, 41 (1): 106- 114.
13	陈仁杰, 陈炳衡, 阚海东, 等. 上海市近地面臭氧污染的健康影响评价[J]. 中国环境科学, 2010, 30 (5): 603- 608.
14	Tang H Y , Liu G , Zhu J G , et al. Seasonal variations in surface ozone as influenced by Asian summer monsoon and biomass burning in agricultural fields of the northern Yangtze River Delta[J]. Atmospheric Research, 2013, 122 (3): 67- 76.
15	王红丽. 上海市大气挥发性有机物化学消耗与臭氧生成的关系[J]. 环境科学, 2015, 36 (9): 3159- 3167.
16	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. doi: 10.3969/j.issn.1673-503X.2006.06.007
17	王雪松, 李金龙. 人为源排放VOC对北京地区臭氧生成的贡献[J]. 中国环境科学, 2002, 22 (6): 501- 505. doi: 10.3321/j.issn:1000-6923.2002.06.005
18	杨俊梅, 李培仁, 李义宇, 等. 南京北郊O₃、NO₂和SO₂变化特征分析[J]. 气象与环境学报, 2014, 30 (3): 66- 70. doi: 10.3969/j.issn.1673-503X.2014.03.010
19	解鑫, 邵敏, 刘莹, 等. 大气挥发性有机物的日变化特征及在臭氧生成中的作用——以广州夏季为例[J]. 环境科学学报, 2009, 29 (1): 54- 62.
20	沈劲, 陈多宏, 汪宇, 等. 基于情景分析的珠三角臭氧与前体物排放关系研究[J]. 生态环境学报, 2018, 27 (10): 1925- 1932.
21	聂滕, 李璇, 王雪松, 等. 北京市夏季臭氧前体物控制区的分布特征[J]. 北京大学学报: 自然科学版, 2014, 50 (3): 557- 564.
22	夏思佳, 赵秋月, 刘倩. 江苏省臭氧时空分布及其前体物影响特征研究[J]. 环境科学与技术, 2018, 41 (9): 96- 100.96-100, 133
23	程念亮, 李云婷, 张大伟, 等. 2014年北京市城区臭氧超标日浓度特征及与气象条件的关系[J]. 环境科学, 2016, 37 (6): 2041- 2051.
24	沈劲, 何灵, 程鹏, 等. 珠三角北部背景站臭氧浓度变化特征[J]. 生态环境学报, 2019, 28 (10): 2006- 2011.
25	杜勤博, 吴晓燕, 郑素帆, 等. 气象因素对汕头市大气O₃污染的影响[J]. 气象与环境科学, 2019, 42 (4): 83- 89.
26	严仁嫦, 叶辉, 林旭, 等. 杭州市臭氧污染特征及影响因素分析[J]. 环境科学学报, 2018, 38 (3): 1128- 1136.
27	陈超, 林旭, 叶辉, 等. 杭州市臭氧污染特征及过程分析[J]. 中国环境监测, 2019, 35 (3): 73- 81.
28	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.
29	郑丽英, 许婷婷, 陈志安, 等. 成都市夏季臭氧污染特征及影响因素[J]. 气象与环境学报, 2019, 35 (5): 78- 84.
30	陆倩, 王国辉, 付娇, 等. 承德市臭氧污染气象条件预报方法研究[J]. 气象与环境学报, 2019, 35 (6): 67- 76.
31	曾佩生, 朱蓉, 范广洲, 等. 京津冀地区低层局地大气环流的气候特征研究[J]. 气象, 2019, 45 (3): 381- 394.
32	任阵海, 万本太, 虞统, 等. 不同尺度大气系统对污染边界层的影响及其水平流场输送[J]. 环境科学研究, 2004, 17 (1): 7- 13.
33	梁碧玲, 张丽, 赖鑫, 等. 深圳市臭氧污染特征及其与气象条件的关系[J]. 气象与环境学报, 2017, 33 (1): 66- 71.
34	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.
35	Zhang J , Rao S T . The role of vertical mixing in the temporal evolution of ground-level ozone concentrations[J]. Journal of Applied Meteorology and Climatology, 1999, 38 (12): 1674- 1691.
36	程水源, 张宝宁, 白天雄, 等. 北京地区大气混合层高度的研究及气象特征[J]. 环境科学丛刊, 1992, 13 (4): 46- 52.

气象因子	春季	夏季	秋季	冬季	年
温度	0.691	0.654	0.692	0.331	0.642
相对湿度	-0.528	-0.646	-0.485	-0.739	-0.402
风速	0.520	0.459	0.449	0.557	0.492

日最高气温/℃	O₃-8h均值/(μg·m^-3)	秩相关系数	超标率/(%)
T＞35	218.3	0.383^*	93.8
30＜T≤35	164.9	0.376^**	51.4
25＜T≤30	133.3	0.258^**	32.8
20＜T≤25	101.4	0.272^**	5.7
15＜T≤20	76.0	0.319^**	0.0
10＜T≤15	60.8	0.135	0.0
T≤10	47.4	0.025	0.0

日相对湿度/(%)	O₃-8h均值/(μg·m^-3)	秩相关系数	超标率/(%)
RH＞90	60.9	-0.166	0.0
80＜RH≤90	109.4	-0.217^**	15.6
70＜RH≤80	128.6	-0.008	37.5
60＜RH≤70	129.8	0.022	33.2
50＜RH≤60	120.5	0.010	24.7
40＜RH≤50	128.1	0.035	30.6
RH≤40	107.4	0.071	10.1

日平均风速/(m·s^-1)	O₃-8h均值/(μg·m^-3)	秩相关系数	超标率/(%)
V＞5.0	86.7	0.061	10.5
4.0＜V≤5.0	117.8	-0.133	18.5
3.0＜V≤4.0	128.3	-0.046	27.3
2.0＜V≤3.0	129.1	0.070	29.6
1.0＜V≤2.0	110.4	0.062	22.9
V≤1.0	89.0	0.097	16.1

天气类型	高后低前	低压(槽)	副热带高压外围	鞍型场	北低南高	北高南低	变性高压
发生次数/次	27	15	10	9	8	3	3
O₃-8h浓度均值/(μg·m^-3)	258	243	227	237	237	240	229
温度均值/℃	32.8	34.3	33.3	33.8	32.7	32.3	31.2
气压均值/hPa	1006.3	1003.1	1007.7	1003.4	1007	1004.4	1014.1
湿度均值/(%)	56.3	52.3	72.2	65.6	51.8	68	69
风速平均值/(m·s^-1)	3.1	3.0	1.7	2.4	2.7	3.0	1.8

Characteristics of ozone pollution and its relationship with meteorological conditions from 2016 to 2019 in Tangshan

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 36

Related Articles 15

Metrics

Comments

Recommended 10

[1]	Hui ZHANG,Chu WU,Jing-wei ZHANG,Xiao-ping LIN,Jia-quan LIANG,Su LIU,Yan-fang GUO,Cheng-liu LI. Characteristics of primary pollutants of air quality and their relationships with meteorological conditions in Heyuan [J]. Journal of Meteorology and Environment, 2022, 38(1): 40-47.
[2]	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.
[3]	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.
[4]	Feng-juan GUO,Chun-hua LI,Chun-ling DOU. Distribution of PM_2.5 mass concentration over Karamay and its influencing factors [J]. Journal of Meteorology and Environment, 2020, 36(4): 52-58.
[5]	Yu HAN,Guo-bing ZHOU,Dao-jin CHEN,Chun YANG,Fan-hua MIN. Characteristics of ozone pollution and forecasting technique based on meteorological factors in Chongqing [J]. Journal of Meteorology and Environment, 2020, 36(4): 59-66.
[6]	Xiu-ling WANG,Jia-jia HUA,Xuan LI,Qian-jin MA,Guan WANG,Heng LI,Xiao-xia CAO. Meteorological conditions for formation and dissipation of PM_2.5 heavy pollution in Tangshan from 2015 to 2017 [J]. Journal of Meteorology and Environment, 2020, 36(4): 45-51.
[7]	YU Zhong-qi, MA Jing-hui, MAO Zhuo-cheng, CAO Yu, QU Yuan-hao, XU Jian-ming. Study on the meteorological conditions and synoptic classifications of O₃ pollution in Shanghai in 2017 [J]. Journal of Meteorology and Environment, 2019, 35(6): 46-54.
[8]	LU Qian, WANG Guo-hui, FU Jiao, ZHOU Shi-ru. Study on the prediction method of meteorological conditions for ozone pollution in Chengde [J]. Journal of Meteorology and Environment, 2019, 35(6): 67-76.
[9]	DU Qin-bo, WU Xiao-yan, ZHENG Su-fan, LI Yue-ying, CHEN Huan-huan, ZHANG Yu-feng. Effects of meteorological conditions on PM_2.5 pollution in Shantou and the PM_2.5 prediction [J]. Journal of Meteorology and Environment, 2019, 35(5): 70-77.
[10]	LIN Yi, LI Qian, ZHANG Kai, LI Lan, QI Xin, LIN Zhong-guan, LIN Song, ZHANG Yun-fu. Effects of meteorological conditions on highway traffic safety in Liaoning province [J]. Journal of Meteorology and Environment, 2018, 34(3): 106-111.
[11]	LIANG Bi-ling, ZHANG Li, LAI Xin, WEI Xiao-lin. Analysis of the characteristics of ozone pollution and its relationship with meteorological conditions in Shenzhen [J]. Journal of Meteorology and Environment, 2017, 33(1): 66-71.
[12]	GU Ting-ting,LUO Yue-zhen,LIANG Zhuo-ran,PAN Ya-ying. Spatial and temporal chacracteristics of ice-freezing disasters and its relationship with meorological conditions from 1961 to 2010 in Zhejiang province [J]. Journal of Meteorology and Environment, 2014, 30(5): 120-124.
[13]	WU Shan-shan, ZHANG Yi-zhi,HU Ju-fang. Climatic characteristics of haze days and its relationship with meteorological conditions over Jiangxi province [J]. Journal of Meteorology and Environment, 2014, 30(3): 71-77.
[14]	YANG Hong-bin;ZOU Xu-dong;ZHANG Yun-hai;WANG Hong-yu;LIU Yu-che. Background value problems in SO2 urban air pollution numerical prediction [J]. Journal of Meteorology and Environment, 2010, 26(5): 69-72.
[15]	WANG Qing-chuan;GUO Li-ping;ZHANG Shao-hui. Urban heat island effect under different meteorological conditions over Langfang, Hebei province [J]. Journal of Meteorology and Environment, 2009, 25(6): 44-48.