引用本文:李路遥,保鸿燕,李婷苑,范雨鑫,张靖彬,涂鑫.广东省清远市PM2.5污染天气分型及污染潜在源区分析[J].环境监控与预警,2024,(2):39-45
LI Luyao,BAO Hongyan,LI Tingyuan,FAN Yuxin,ZHANG Jingbin,TU Xin.Weather Classification and Potential Source Areas Analysis of PM2.5 Pollution in Qingyuan City[J].Environmental Monitoring and Forewarning,2024,(2):39-45
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广东省清远市PM2.5污染天气分型及污染潜在源区分析
李路遥1,2,保鸿燕1,2*,李婷苑3,范雨鑫1,张靖彬1,涂鑫1
1.广东省清远市气象局,广东 清远 511500; 2. 广东省环珠江口气候环境与空气质量变化野外科学观测研究站,广东 广州 510275;3. 广东省生态气象中心,广东 广州 510145
摘要:
利用2016—2021年清远市逐时空气质量监测数据和相关气象资料,基于统计分析、主观天气分型方法和后向轨迹模式(HYSPLIT),归纳总结粤北代表城市清远市在不同细颗粒物(PM2.5 )污染天气分型下的气象要素特征及污染潜在源区特征,为大气污染精细化防控提供有效参考。结果表明:在日均风速<2m/s、日均相对湿度为75%~90%、日均气温为18~22℃时的无降水或微量降水天气下,清远市易出现PM2.5 污染。变性高压脊型、脊后槽前型、冷锋前型、弱冷高压脊型、高压底后部型、台风外围型是造成清远市PM2.5 污染的典型天气型,其中PM2.5 重度污染均出现在秋、冬季弱冷高压脊型控制下;变性高压脊型下出现PM2.5 轻度和中度污染的频率最高;脊后槽前型是清远市春季PM2.5 污染的主要天气型;冷锋前型、高压底后部型和台风外围型下的PM2.5 污染程度较轻。加剧清远市PM2.5 污染的主要气流轨迹为弱偏南气流和南北气流辐合,当弱偏南气流控制时,污染潜在源区主要位于清远市辖区及广州、佛山、东莞、江门等珠三角城市;当南北气流辐合时,潜在源区主要位于清远市南部、韶关及珠三角,南岭山脉阻挡作用削弱了偏北方向长距离输送的PM2.5 污染。
关键词:  细颗粒物  清远市  主观天气分型  后向轨迹模式  潜在源区
DOI:DOI:10.3969/j.issn.1674-6732.2024.02.006
分类号:X823
基金项目:广东省重点研发计划项目(2020B1111360003);广东省科技计划项目(科技创新平台类)(2019B121201002);广东省气象局科技创新团队项目(GRMCTD202003);清远市气象局科研立项项目(201803)
Weather Classification and Potential Source Areas Analysis of PM2.5 Pollution in Qingyuan City
LI Luyao1,2, BAO Hongyan1,2*,LI Tingyuan3, FAN Yuxin1, ZHANG Jingbin1, TU Xin1
1. Guangdong Provincial Qingyuan Meteorological Bureau, Qingyuan, Guangdong 511500, China; 2.Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangzhou, Guangdong 510275, China; 3.Guangdong Ecological Meteorology Center, Guangzhou, Guangdong 510145, China
Abstract:
Based on the air quality monitoring data and correlative meteorological data in Qingyuan City from 2016 to 2021, the characteristics of meteorological elements and potential pollution source areas under different PM2.5 pollution weather patterns in Qingyuan were analyzed using statistical analysis, subjective weather classification and HYSPLIT model, which provides effective reference for fine management on air pollution prevention and control. The results indicated that: The PM2.5 pollution in Qingyuan mainly occurs in non precipitation or micro precipitation weather when the daily average wind speed is less than 2 m/s, the average relative humidity is between 75% and 90% and the average temperature is between 18~22 ℃.The typical weather types causing PM2.5 pollution in Qingyuan are transformed cold high ridge, frontal low trough and behind ridge, front of cold front, weak cold high ridge, south west to high and peripheral subsidence of typhoon. The heavy PM2.5 pollution only occurred under the control of the weak cold high ridge weather pattern in autumn and winter; the frequency of the slight and moderate PM2.5 pollution is the highest under transformed cold high ridge weather conditions; frontal low trough and behind ridge is the main weather type that causes PM2.5 pollution of Qingyuan City in spring; and the pollution is relatively low under front of cold front, south west to high and peripheral subsidence of typhoon. HYPLIT trajectory clustering analysis shows that the main airflow trajectories aggravating PM2.5 pollution in Qingyuan are southerly airflow and north south airflow convergence. The potential source areas of PM2.5 pollution are mainly located in Qingyuan urban area and Pearl River Delta cities such as Guangzhou, Foshan, Dongguan, Jiangmen, etc under the control of southerly airflow, and south of Qingyuan, Shaoguan and the Pearl River Delta, where under the control of south north airflow convergence, are the potential areas of PM2.5 pollution, long distance transportation in the north direction will be weaken by the blocking effect of the Nanling Mountain.
Key words:  PM2.5  Qingyuan City  Subjective weather classification  HYSPLIT model  Potential source area