唐山市PM_(2.5)和O_(3)的演变特征及其对大气复合污染的协同影响  

Evolution Characteristics of PM_(2.5) and O_(3)and Their Synergistic Effects on Atmospheric Compound Pollution in Tangshan

作　　者：韩力慧[1,2] 兰童 程水源 王迎澳[1] 齐超楠 田健 王海燕 韩登越 王慎澳[1] HAN Li-hui;LAN Tong;CHENG Shui-yuan;WANG Ying-ao;QI Chao-nan;TIAN Jian;WANG Hai-yan;HAN Deng-yue;WANG Shen-ao(Faculty of Environment and Life,Beijing University of Technology,Beijing 100124,China;Key Laboratory of Beijing on Regional Air Pollution Control,Beijing 100124,China)

机构地区：[1]北京工业大学环境与生命学部,北京100124 [2]区域大气复合污染防治北京市重点实验室,北京100124

出　　处：《环境科学》2024年第8期4385-4397,共13页Environmental Science

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

摘　　要：通过采集唐山市2015~2021年7年间大气污染物PM_(2.5)、O_(3)、SO_(2)、NO_(2)CO浓度,以及气象要素温度(T)、相对湿度(RH)、风速等相关数据,结合相关性分析和后向轨迹聚类分析技术,分析研究了唐山市近7年间PM_(2.5)和O_(3)不同时段的变化特征,及其影响因素,探讨了气团传输对PM_(2.5)和O_(3)污染的贡献,揭示了PM_(2.5)和O_(3)对大气复合污染的协同影响机制.结果表明,唐山市2015~2021年间PM_(2.5)浓度呈逐年下降的趋势,而O_(3)浓度则呈现出单峰态变化趋势,峰值出现在2017年.PM_(2.5)和O_(3)浓度均呈现出明显的季节变化,其中PM_(2.5)表现为冬季最高夏季最低的特征,而O_(3)则表现为夏季最高而冬季最低的特征.此外,PM_(2.5)的日变化呈双峰态分布,峰值分别发生在工作日早高峰和晚高峰期间.O_(3)日变化则呈单峰态分布,峰值出现在下午紫外线照射较强时段.PM_(2.5)主要受SO_(2)、NO_(2)和CO的正向影响,而O_(3)则主要受太阳辐射强度和温度的正向影响.在不同污染背景下,PM_(2.5)和O_(3)会受到来自不同方向气团传输的影响.PM_(2.5)和O_(3)对大气复合污染的协同作用在诸多因素的共同影响下,呈现出冬季明显的负向影响,而春、夏和秋季则明显的正向影响.在不同污染背景下,当PM_(2.5)浓度超过150μg·m^(-3)时,PM_(2.5)和O_(3)的协同作用则表现为明显的负向作用.The concentrations of atmospheric pollutants PM_(2.5),O_(3),SO_(2),NO_(2),and CO together with the meteorological factors of temperature(T),relative humidity(RH),wind speed,and other relevant data in Tangshan from 2015 to 2021 were collected to study the variation characteristics of PM_(2.5) and O_(3)at different periods in Tangshan City in the past seven years and their influencing factors,to discuss the contributions of air mass transport to PM_(2.5) and O_(3)pollution,and to reveal the synergistic influence mechanism of PM_(2.5) and O_(3)on atmospheric compound pollution by using correlation analysis and backward trajectory cluster analysis techniques.The results showed that PM_(2.5) concentrations in Tangshan decreased year by year from 2015 to 2021,whereas O_(3)concentration showed a unimodal trend,with the peak appearing in 2017.Both PM_(2.5) and O_(3)concentrations showed obvious seasonal variation trends;PM_(2.5) was characterized by the highest concentration in winter and the lowest concentration in summer,whereas O_(3)was characterized by the highest concentration in summer and the lowest concentration in winter.In addition,the diurnal variation in PM_(2.5) showed a bimodal distribution,with the peak occurring during the morning and evening on weekdays,and O_(3)showed a unimodal distribution,with the peak value appearing during the period with strong ultraviolet radiation in the afternoon.PM_(2.5) had a significant positive correlation with SO_(2),NO_(2),and CO,whereas O_(3)had a significant positive correlation with radiation and temperature.Under the different pollution conditions,PM_(2.5) and O_(3)were affected by air mass transports from different directions.Being impacted by various factors,the synergistic effect of PM_(2.5) and O_(3)on atmospheric compound pollution showed an obvious negative effect in winter,whereas there was an obvious positive effect in spring,summer,and autumn.Under the backgrounds of different pollutions,when the concentration of PM_(2.5) exceeded 150µg·m^(-3),the synergist

关 键 词：PM_(2.5) O_(3) 协同作用 复合污染 气团传输 

分 类 号：X51[环境科学与工程—环境工程]