唐山市大气颗粒物和O<sub>3</sub>多尺度变化及影响因素

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (4412 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要采用KZ滤波法、多元逐步回归法和小波相干性分析法,从不同时间尺度探究了唐山市2015~2022年间PM_2.5、PM₁₀和O₃的演变特征,并有效区分和定量估算了污染源排放和气象因素对污染物浓度的贡献,揭示了气象因素对污染物不同尺度的影响,以及颗粒物和O₃之间的协同作用机制.结果表明:研究期间唐山市颗粒物PM_2.5和PM₁₀的浓度长期分量均呈现显著下降趋势,季节分量和短期分量均呈现不同程度的周期波动.O₃浓度长期分量变化幅度较小,其季节分量和短期分量均在每年5~7月之间有明显变化趋势.颗粒物PM_2.5和PM₁₀浓度的长期分量变化主要由源排放因素控制,且源排放贡献占90%以上,而O₃浓度的长期分量变化则由源排放和气象因素共同控制,且其贡献比例约为2:3.气象因素温度、相对湿度、地表垂直风速和降水量对PM_2.5主要表现为小时间尺度的正向作用和大时间尺度的负向作用.温度和短波辐射强度对O₃主要呈正向影响,而PM_2.5、PM₁₀和O₃之间存在小时间尺度的正向影响和大时间尺度的负向作用.

	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
	韩力慧
	兰童
	程水源
	王慎澳
	田健
	齐超楠
	肖茜
	王海燕
	韩登越
	王迎澳

关键词 ：颗粒物, O₃, KZ滤波, 小波相干性, 贡献, 影响因素

Abstract：The methods of Kolmogorov-Zurbenko filtering, stepwise multiple linear regression and wavelet coherence analysis were used to explore the evolution characteristics of PM_2.5, PM₁₀ and O₃ at different time scales from 2015 to 2022 in Tangshan City, and to effectively distinguish and quantitatively estimate the contributions of pollution source emissions and meteorological factors to pollutant concentrations. Meanwhile, the impacts of meteorological factors on pollutants at different time scales and the synergistic mechanism between PM_2.5, PM₁₀ and O₃ were revealed. The long-term component of PM_2.5 and PM₁₀ concentrations in Tangshan showed a significant downward trend during the study period, and the seasonal component and short-term component showed different periodic-fluctuations. The long-term component of O₃ concentration slightly changed, and its seasonal component and short-term component changed dramatically between May and July every year. The variations of long-term components of PM_2.5 and PM₁₀ were mainly controlled by source emission factors, which accounted for more than 90%, while the long-term component of O₃ was controlled by source emission and meteorological factors simultaneously, with the contribution ratio being about 2:3. Meteorological factors such as temperature, relative humidity, surface vertical wind speed and precipitation presented positive effects on PM_2.5 at small time scales and negative effects at large time scales. Temperature and shortwave radiation intensity had positive effects on O₃, however, coherence between PM_2.5, PM₁₀ and O₃ displayed positive effects at small time scales and negative effects at large time scales.

Key words： particulate matter O₃ KZ filter wavelet coherence contribution influencing factors

收稿日期: 2023-07-25

PACS:

X513

基金资助:国家重点研发计划(2018YFC0213203);大气重污染成因与治理攻关项目(DQGG0302-01)

作者简介: 韩力慧(1964-),女,山西忻州人,副教授,博士,山西太原人,主要从事大气污染与防治研究.发表论文60余篇.hlh@bjut.edu.cn.

引用本文:

韩力慧, 兰童, 程水源, 王慎澳, 田健, 齐超楠, 肖茜, 王海燕, 韩登越, 王迎澳. 唐山市大气颗粒物和O₃多尺度变化及影响因素[J]. 中国环境科学, 2024, 44(3): 1185-1194. HAN Li-hui, LAN Tong, CHENG Shui-yuan, WANG Shen-ao, TIAN Jian, QI Chao-nan, XIAO Qian, WANG Hai-yan, HAN Deng-yue, WANG Ying-ao. The variations and influencing factors of atmospheric particulate matter and O₃ at multiple scales in Tangshan. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(3): 1185-1194.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I3/1185

[1] Rao S T, Zurbenko I G. Detecting and tracking changes in ozone air[J]. Journal of Air & Waste Management Association, 1994,44(9):1089- 1092.
[2] Ahmadi M, John K. Statistical evaluation of the impact of shale gas activities on ozone pollution in North Texa.[J]. Science of the Total Environment, 2015,536:457-467.
[3] 黎煜满,李磊,谢洁岚,等.基于KZ滤波法的韶关市O₃不同时间尺度变化特征分析研究[J]. 环境科学学报, 2023,43(1):128-139. Li Y M, Li L, Xie J L, et al. Study on variation characteristics of O₃ at different time scales in Shaoguan city based on KZ filter method[J]. Journal of Environmental Science, 2023,43(1):128-139.
[4] Sá E, Tchepel O, Carvalho A, et al. Meteorological driven changes on air quality over Portugal:a KZ filter application[J]. Atmospheric Pollution Research, 2015,6(6):979-989.
[5] Lee J, Kong B, Han J, et al. Long term analysis of PM₁₀ concentration in Seoul using KZ filter[J]. Journal of Korean Society for Atmospheric Environment, 2008,24(1):63-71.
[6] 冯凝,唐梦雪,李孟林,等.深圳市城区VOCs对PM_2.5和O₃耦合生成影响研究[J]. 中国环境科学, 2021,41(1):11-17. Feng N, Tang M X, Li M L, et al. Research on the influence of VOCs on the coupling generation of PM_2.5 and O_x in Shenzhen[J]. China Environmental Science, 2021,41(1):11-17.
[7] Dai W, Gao J Q, Wang B, et al. Statistical Analysis of Weather Effects on PM_2.5[J]. Advanced Materials Research, 2012:610-613.
[8] 张宇静,赵天良,殷翀之,等.徐州市大气PM_2.5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 D L, Yin C Z, et al. Seasonal variation of the relationship between surface PM_2.5 and O₃ concentrations in Xuzhou[J]. China Environmental Science, 2019,39(6):2267-2272.
[9] 郑冬,李丹,纪德钰,等.大连市区近地面臭氧污染规律研究及与PM_2.5等污染物的相关性分析[J]. 环境与可持续发展, 2014,39(6):177-180. Zheng D, Li D, Ji D Y, et al. Study on ozone in Dalian urban and correlation between ozone and PM_2.5 other pollutants[J]. Environment and Sustainable Development, 2014,39(6):177-180.
[10] Xu T, Zhang C, Liu C, et al. Variability of PM_2.5 and O₃ concentrations and their driving forces over Chinese megacities during 2018~2020[J]. Journal of Environmental Sciences, 2023,124(2):1-10.
[11] 黄小刚,邵天杰,赵景波,等.基于GAM模型的西安市O₃浓度影响因素解析[J]. 环境科学, 2020,41(4):1535-1543. Huang X G, Shao T J, Zhao J B, et al. Influencing Factors of Ozone Concentration in Xi'an Based on Generalized Additive Models[J]. Environmental Sciences, 2020,41(4):1535-1543.
[12] 张子睿,胡敏,尚冬杰,等.2013~2020年北京大气PM_2.5和O₃污染演变态势与典型过程特征[J]. 科学通报, 2022,67(18):1995-2007. Zhang Z R, Hu M, Shang D J, et al. The evolution trend and typical process characteristics of atmospheric PM_2.5 and O₃ pollution in Beijing from 2013 to 2020[J]. Chinese Science Bulletin, 2022,67(18):1995-2007.
[13] Nalley D, Adamowski J, Biswas A, et al. A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO, NAO and PDO[J]. Journal of Hydrology, 2019,574:288-307.
[14] 姚衡,周靖承,杨俊,等.基于小波变换的武汉市PM_2.5、PM₁₀与臭氧污染特征[J]. 中国环境科学, 2023,43(1):107-114. Yao H, Zhou J C, Yang J, et al. Studies on characteristics of PM_2.5, PM₁₀ and ozone pollution in Wuhan based on wavelet transform[J]. China Environmental Science, 2023,43(1):107-114.
[15] Wang J J, Lu X M, Yan Y T, et al. Spatiotemporal characteristics of PM_2.5 concentration in the Yangtze River Delta urban agglomeration, China on the application of big data and wavelet analysis[J]. Science of the Total Environment, 2020,724,138134.
[16] Kumari S, Jayaraman G, Ghosh C. Analysis of long-term ozone trend over Delhi and its meteorological adjustment[J]. International Journal of Environmental Science and Technology, 2013,10(6):1325-1336.
[17] Wise E K, Comrie A C. Extending the Kolmogorov-Zurbenko filter:Application to ozone, particulate matter, and meteorological trend[J]. Journal of the Air &Waste Management Association, 2005,55:1208- 1216.
[18] 秦人洁,张洁琼,王雅倩,等.基于KZ滤波法的河北省PM_2.5和O₃浓度不同时间尺度分析研究[J]. 环境科学学报, 2019,39(3):821-831. Qin R J, Zhang J Q, Wang Y Q, et al. Study on different time scales of PM_2.5 and O₃ concentrations in Hebei province based on KZ filter[J]. Journal of Environmental Science, 2019,39(3):821-831.
[19] Li S, Liu N J, Tang L F, et al. Mutation test and multiple-wavelet coherence of PM_2.5 concentration in Guiyang, China[J]. Air Quality, Atmosphere & Health, 2021,14:955-966.
[20] 唐山市生态环境局.2021年唐山市生态环境状况公报[R]. 唐山:唐山市生态环境局, 2022. Tangshan Ecological Environment Bureau. 2021 Tangshan ecological environment status bulletin[R]. Tangshan:Tangshan Ecological Environment Bureau, 2022.
[21] 唐山市生态环境局.2022年唐山市生态环境状况公报[R]. 唐山:唐山市生态环境局, 2023. Tangshan Ecological Environment Bureau. 2022 Tangshan Ecological Environment Status Bulletin[R]. Tangshan:Tangshan Ecological Environment Bureau, 2023.
[22] 孟晓艳,张霞,侯玉婧,等.2013~2017年京津冀区域PM_2.5浓度变化特征[J]. 中国环境监测, 2018,34(5):511. Meng X Y, Zhang X, Hou Y J, et al. Characteristics of PM_2.5 concentration in Beijing-Tianjin-Hebei Region from 2013 to 2017[J]. Environmental Monitoring in China, 2018,34(5):511.
[23] 彭猛,崔璐璐,王磊,等.唐山市大气PM_2.5季节污染特征及来源分析[J]. 生态环境学报, 2020,29(9):1855-1861. Peng M, Cui L L, Wang L, et al. Seasonal characteristics and sources of PM_2.5 in Tangshan[J]. Journal of Ecology and Environmental Sciences, 2020,29(9):1855-1861.
[24] 中国气象局.2022年大气环境气象公报[R]. 北京:中国气象局, 2023. China Meteorological Administration. Bulletin of Atmospheric Environment and Meteorology 2022[R]. Beijing:China Meteorological Administration, 2023.
[25] 王秀玲,肖杨,张成影,等.2021年唐山市一次臭氧重污染过程研究[J]. 环境科学与管理, 2022,47(5):47-51,70. Wang X L, Xiao Y, Zhang C Y, et al. A case study of Ozone heavy pollution in Tangshan[J]. Environmental Science and Management, 2022,47(5):47-51,70.
[26] 孔祥如,陈敏,陈恒蕤,等.2018~2019年兰州市近地面臭氧浓度变化特征及其影响因素分析[J]. 环境工程, 2022,40(7):69-75,152. Kong X R, Chen M, Chen H R, et al. Variation characteristics and influencing factors of surface O₃ concentration in Lanzhou in 2018~2019[J]. Environmental Engineering, 2022,40(7):69-75,152.
[27] 张南,熊黑钢,葛秀秀,等.北京市冬季雾霾天人体呼吸高度PM_2.5变化特征对气象因素的响应[J]. 环境科学, 2016,37(7):2419-2427. Zhang N, Xiong H G, Ge X X, et al. Response of human respiratory height PM_2.5 variation characteristics to meteorological factors during winter haze days in Beijing[J]. Environmental Science, 2016,37(7):2419-2427.
[28] 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 ozone and influencing factors in Shandong province[J]. Environmental Science, 2021,42(12):5723-5735.
[29] 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. Wang M, Zheng Y F, Liu Y J, et al. Characteristics of ozone and its relationship with meteorological factors in Beijing-Tianjin-Hebei Region[J]. China Environmental Science, 2019,39(7):2689-2698.
[30] Gao S, Bai Z P, Liang S, et al. Simulation of surface ozone over Hebei province, China using Kolmogorov-Zurbenko and artificial neural network (KZ-ANN) combined model[J]. Atmospheric Environment, 2021,261,118599.
[31] 贾梦唯,赵天良,张祥志,等.南京主要大气污染物季节变化及相关气象分析[J]. 中国环境科学, 2016,36(9):2567-2577. Jia M W, Zhao T L, Zhang X Z, et al. Seasonal variations in major air pollutants in Nanjing and their meteorological correlation analyses[J]. China Environmental Science, 2016,36(9):2567-2577.
[32] 赵淑婷,王丽涛,齐孟姚,等.邯郸市PM_2.5-O₃复合污染特征及相互影响研究[J]. 环境科学学报, 2021,41(6):2250-2261. Zhao S T, Wang L T, Qi M Y, et al. Study on the characteristics and mutual influence of PM_2.5-O₃ complex pollution in Handan[J]. Journal of Environmental Science, 2021,41(6):2250-2261.
[33] Zong L, Yang Y J, Gao M, et al. Large-scale synoptic drivers of co-occurring summertime ozone and PM_2.5 pollution in eastern China[J]. Atmospheric Chemistry and Physics, 2021,21:9105-9124.
[34] Cheng N L, Li R Y, Xu C X, et al. Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017:Trend, meteorological influences and formation regimes[J]. Journal of cleaner production, 2019,235:11-20.
[35] 郭伟,王雁.山西省不同城市PM_2.5浓度与气象因子的关系分析[C]//中国环境科学学会.2020中国环境科学学会科学技术年会论文集(第一卷). Guo W, Wang Y. Analysis of the relationship between PM_2.5 concentration and meteorological factors in different cities in Shanxi Province[C]//Chinese Society of Environmental Sciences. Proceedings of the Science and Technology Annual Conference of Chinese Society of Environmental Sciences 2020(Vol. 1).
[36] 韩力慧,张海亮,张鹏,等.北京市春夏季大气降水及其对大气环境的影响研究[J]. 中国环境科学, 2017,37(6):2047-2054. Han L H, Zhang H L, Zhang P, et al. Studies on precipitation and its effects on atmospheric environment in Beijing in spring and summer[J]. China Environmental Science, 2017,37(6):2047-2054.
[37] 韩力慧,张海亮,向欣,等.北京市典型区域夏季降水及其对大气污染物的影响研究[J]. 环境科学, 2017,38(6):2211-2217. Han L H, Zhang H L, Xiang X, et al. Precipitation and its effects on atmospheric pollutants in a representative Region of Beijing in summer[J]. Environmental Science, 2017,38(6):2211-2217.
[38] 何琰,林惠娟,曹舒娅,等.城市臭氧污染特征与高影响气象因子:以苏州为例[J]. 环境科学, 2023,44(1):85-93. He Y, Lin H J, Cao S Y, et al. Characteristics of ozone pollution and high-impact meteorological factors in urban cities:A case of Suzhou[J]. Environmental Science, 2023,44(1):85-93.
[39] Anger A, Dessens O, Xi F M, et al. China's air pollution reduction efforts may result in an increase in surface ozone levels in highly polluted areas[J]. Ambio., 2016,45(2):254-265