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随着大气污染防治措施的严苛实施,PM2.5-O3双高污染逐渐转变为京津冀地区主要污染类型。掌握PM2.5-O3双高污染的时空分布特征及其影响因素是有效防治PM2.5-O3双高污染的关键前提。本文基于2017-2021年国家环境空气自动监测站点所获取的PM2.5和O3浓度监测数据,利用重心转移和结构方程模型等手段分析了PM2.5-O3双高污染的时空分布特征及其驱动因素。结果表明:总体来说,京津冀地区PM2.5-O3双高污染天数呈减少趋势。而PM2.5-O3双高污染中,两者浓度呈阶段性变化:ρ(PM2.5)小于95μg/m3时,ρ(PM2.5)和ρ(O3-8h-90%)同增同长;而当ρ(PM2.5)大于95μg/m3时,反之,2017-2021年双高污染期间,PM2.5和O3污染主要集中在中南部,且浓度重心都呈现南移趋势,最终重心在石家庄市南部。基于结构方程模型分析结果可知,地形通过影响植被覆盖和人类活动间接调控PM2.5和O3污染,平坦区域更易形成双高污染;同时气象因素通过改变污染物扩散条件间接影响污染浓度,而植被则通过调节局部气候(如降温增湿)促进污染物扩散,改善空气质量。
Abstract:The implementation of stringent air pollution control measures has resulted in a gradual transformation of PM2.5 (particulate matter with a diameter of 2.5μm or less)-O3 (ozone)double high pollution into the primary type of pollution in the Beijing-Tianjin-Hebei(BTH) region.In order to effectively prevent and control PM2.5-O3 double-high pollution,it is first necessary to understand the spatial and temporal distribution characteristics of such pollution,as well as the factors that influence it.This study analyzes the spatial and temporal characteristics of the double high pollution and its drivers,based on the PM2.5 and O3 monitoring data obtained from state-controlled automatic monitoring stations from 2017 to2021.The main results of the study show that the number of double high pollution days in the BTH region has shown a decreasing trend from 2017 to 2021.Furthermore,the relationship between O3 concentration and PM2.5 concentration exhibited an inverse trend at various levels of PM2.5 concentrations.When the PM2.5 concentration was below 95μg/m3,PM2.5 and O3 demonstrated a synergistic growth relationship.Conversely,at higher PM2.5 concentrations,PM2.5 and O3 exhibited an inverse relationship.Additionally,the center of gravity for both PM2.5 and O3 pollution concentration has shifted notably southward during the study period,ultimately settling in the southern part of Shijiazhuang.The findings of the structural equation modelling analysis demonstrate that topography exerts an indirect regulatory influence on PM2.5and O3 pollution,primarily through its impact on vegetation cover and human activities.The formation of double-high pollution is more probable in flat areas.Concurrently,meteorological factors modulate the concentration of pollutants indirectly by altering the conditions for diffusion.Vegetation,in turn,facilitates the diffusion of pollutants by regulating the local climate and enhancing air quality.
[1]SONG J,LU M,LU J,et al.Acute effect of ambient air pollution on hospitalization in patients with hypertension:A time-series study in Shijiazhuang,China[J].Ecotoxicology and Environmental Safety,2019,170:286-292.
[2]XIE Y,DAI H,ZhANG Y,et al.Comparison of health and economic impacts of PM2.5 and ozone pollution in China[J].Environment International,2019,130:104881.
[3]HE Y,LI L,WANG H,et al.A cold front induced co-occurrence of O3 and PM2.5 pollution in a Pearl River Delta city:Temporal variation,vertical structure,and mechanism[J].Environmental Pollution,2022,306:119464.
[4]ZHAO X,XIANG Y,PAN Y,et al.Seasonal patterns,vertical profiles,and sensitivity analysis of long-term O3 pollution observations in Hefei City,China[J].Atmospheric Pollution Research,2024,15(7):102145.
[5]牛笑笑,钟艳梅,杨璐,等.2015~2020年中国城市PM2.5-O3复合污染时空演变特征[J].环境科学,2023,44(4):1830-1840.
[6]HE C,LIU J,ZHOU Y,et al.Synergistic PM2.5 and O3 control to address the emerging global PM2.5-O3 compound pollution challenges[J].Eco-Environment&Health,2024,3(3):325-337.
[7]LI Y,WANG T J,WANG Q Q,et al.Exploring the role of aerosol-ozone interactions on O3 surge and PM2.5 decline during the clean air action period in Eastern China 2014-2020[J].Atmospheric Research,2024,303:107294.
[8]花丛,江琪,迟茜元,等.我国中东部地区2015-2020年夏半年PM2.5和臭氧复合污染气象特征分析[J].环境科学研究,2022,35(3):650-658.
[9]候杰,李柯,张丹瑜婷.2015-2022年我国华北地区冬季PM2.5-O3复合污染及特征分析[J].环境科学研究,2023,36(6):1061-1071.
[10]SIDDIKA N,RANTALA A K,ANTIKAINEN H,et al.Synergistic effects of prenatal exposure to fine particulate matter (PM2.5) and ozone (O3) on the risk of preterm birth:A population-based cohort study[J].Environmental Research,2019,176:108549.
[11]CHEN X,WEI F.Impact of territorial spatial landscape pattern on PM2.5 and O3 concentrations in the Yangtze River delta urban agglomeration:Exploration and planning strategies[J].Journal of Cleaner Production,2024,452:142172.
[12]蔡斌,程昊淼,亓浩雲,等.京津冀植被类型对典型城市夏季O3和PM2.5贡献[J].中国环境科学,2023(6):2734-2743.
[13]LEE H,JAFFE D A.Wildfire Impacts on O3 in the Continental United States Using PM2.5 and a Generalized Additive Model (2018-2023)[J].Environmental Science&Technology,2024,58(33):14764-14774.
[14]GUAN S,ZHANG X,ZHAO W,et al.A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China[J].Atmospheric Environment,2023,313:120043.
[15]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[16]DU J,WANG X,ZHAO S.Dominant mechanism underlying the explosive growth of summer surface O3 concentrations in the BeijingTianjin-Hebei Region,China[J].Atmospheric Environment,2024,333:120658.
[17]WANG Z,HUANG X,HUANG Q,et al.Environmental impacts of aerosol radiative effect and urbanization and their interactions over the Beijing-Tianjin-Hebei City cluster[J].Urban Climate,2024,56:102020.
[18]CHU Y,CHI X,DU J,et al.Significantly alleviated PM2.5 pollution in cold seasons in the Beijing-Tianjin-Hebei and surrounding area:Insights from regional observation[J].Atmospheric Research,2024,298:107136.
[19]SHAO T,WANG P,YU W,et al.Drivers of alleviated PM2.5 and O3 concentrations in China from 2013 to 2020[J].Resources,Conservation and Recycling,2023,197:107110.
[20]SICARD P,De MARCO A,AGATHOKLEOUS E,et al.Amplified ozone pollution in cities during the COVID-19 lockdown[J].Science of The Total Environment,2020,735:139542.
[21]Kaihui Z,Zibing Y,Yonghua W,et al.Identification of synergistic control for ozone and PM2.5 pollution during a large-scale emission reduction in China[J].Atmospheric Research,2023,295:107025.
[22]Yawei Q,Tijian W,Cheng Y,et al.The underlying mechanisms of PM2.5 and O3 synergistic pollution in East China:Photochemical and heterogeneous interactions[J].The Science of the total environment,2023,873:162434.
[23]ZHENG X,WANG R,HE Q.A city-scale decomposition and decoupling analysis of carbon dioxide emissions:A case study of China[J].Journal of Cleaner Production,2019,238:117824.
[24]MA S,LI L,KE H,et al.Environmental Protection,Industrial Structure and Urbanization:Spatiotemporal Evidence from BeijingTianjin-Hebei,China[J].Sustainability,2022,14(2):795.
基本信息:
DOI:
中图分类号:X51
引用信息:
[1]张欢,焦琳琳,刘笑凡等.京津冀地区PM_(2.5)-O_3双高污染时空变化特征及驱动因素研究[J].华北理工大学学报(自然科学版),2025,47(03):1-9.
基金信息:
中央引导地方科技发展资金项目(246Z5901G):基于深度学习和树种类型的塞罕坝区域人工林地上碳储量时空变化及未来趋势研究