| 2015年11月沈阳地区一次PM2.5重污染过程综合分析 |
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| 引用本文： | 杨磊,陈传雷,曹世腾,孙丽,崔曜鹏,蒋超,黄海亮,陈宇,杨雪. 2015年11月沈阳地区一次PM2.5重污染过程综合分析[J]. 气象与环境学报, 2019, 35(3): 37-44. DOI: 10.3969/j.issn.1673-503X.2019.03.005 |
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| 作者姓名： | 杨磊 陈传雷 曹世腾 孙丽 崔曜鹏 蒋超 黄海亮 陈宇 杨雪 |
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| 作者单位： | 辽宁省气象灾害监测预警中心,辽宁 沈阳,110166;辽宁省人工影响天气办公室,辽宁 沈阳,110166;本溪市气象局,辽宁 本溪,117000 |
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| 基金项目： | 国家自然科学基金青年基金（41705127）、辽宁省气象局气象科研项目（201611）、气象关键技术集成与应用项目（CMAGJ2015M15）、中国气象局预报员专项（CMAYBY2017-015）、国家重点研发计划重大专项（2018YFC1507301）和中国气象局云雾物理环境重点实验室开放课题（2018Z01613）共同资助。 |
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| 摘 要： | 利用多源观测资料综合分析了2015年11月沈阳地区一次PM2.5 重污染天气的气象条件、垂直风场演变、大气边界层特征以及污染物的来源。结果表明:本次重污染过程中,沈阳市区PM2.5浓度长达81h超过250μg · m^-3 ,其中峰值浓度达到1287μg · m^-3 ,重污染期间PM2.5 /PM10 的比例最高为90%。受地面倒槽和黄淮气旋影响,近地面层持续存在的逆温层、高相对湿度和弱偏北风为颗粒物吸湿增长和长时间聚集提供有利的天气条件。风廓线雷达风场资料显示在重污染期间,近地面层存在弱风速区、凌乱风场和弱下沉气流。利用风廓线雷达资料计算了边界层通风量(Ventilation Index,VI)和局地环流指数(Recirculation,R),边界层通风量VI和PM2.5 存在明显的负相关,非污染日VI是重污染日的2倍,局地环流指数R在重污染天气前大于0.9,而在污染期间部分空间R小于0.8。通过后向轨迹模式和火点监测资料分析发现,沈阳上空300m高度气团来自于生物质燃烧区域,而且沈阳地区NO2和CO浓度的变化与PM2.5一致,说明本次重污染过程也可能和生物质燃烧有关。
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| 关 键 词： | PM2.5 重污染 气象条件 风廓线雷达 气团轨迹 生物质燃烧 |
| 收稿时间： | 2018-01-25 |
Comprehensive analysis of a heavy PM2.5 pollution event over Shenyang in November of 2015 |
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| YANG Lei,CHEN Chuan-lei,CAO Shi-teng,SUN Li,CUI Yao-peng,JIANG Chao,HUANG Hai-liang,CHEN Yu,YANG Xue. Comprehensive analysis of a heavy PM2.5 pollution event over Shenyang in November of 2015[J]. Journal of Meteorology and Environment, 2019, 35(3): 37-44. DOI: 10.3969/j.issn.1673-503X.2019.03.005 |
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| Authors: | YANG Lei CHEN Chuan-lei CAO Shi-teng SUN Li CUI Yao-peng JIANG Chao HUANG Hai-liang CHEN Yu YANG Xue |
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| Affiliation: | 1. Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166, China;2. Liaoning Weather Modification Office, Shenyang 110166, China;3. Benxi Meteorological Service, Benxi 117000, China |
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| Abstract: | The variations of meteorological conditions,vertical wind field,features of planetary boundary layer and pollutant sources during a heavy PM2.5 pollution event in Shenyang in November of 2015 were comprehensively analyzed using an observational dataset.The results show that the period of PM2.5 concentrations higher than 250 μg·m-3 lasts for 81 hours during this event,with a maximum PM2.5 concentration reaching 1287 μg·m-3 and a maximum PM2.5/PM10 ratio reaching 90%.Affected by an inverted trough at the surface and the Huanghuai cyclone,the temperature inversion layer,high humidity conditions and weak northerly winds remain in the near-surface layer,which are favorable for the hygroscopic growth and long-term accumulation of particles.The observational data from a wind profile radar showed that during the heavy pollution period,low level winds,fickle wind directions and weak subsidence of airflows near the surface remained.Based on the radar data,the ventilation index (VI) and recirculation index (R) are calculated.The values of PM2.5 concentrations have a negative correlation with the values of VI,and the mean VI on clear days is twice of that on heavy pollution days.The values of R are larger than 0.9 before the heavy pollution period and became smaller than 0.8 during this pollution period.Through analyzing the backward trajectories and fire point monitoring data,the air masses at 300 m altitude over Shenyang originate from areas with the dense biomass burning.Moreover,the variation of NO2 and CO concentrations in Shenyang are consistent with that of PM2.5.This heavy pollution event may be also associated with the biomass burning. |
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| Keywords: | PM2.5 Heavy pollution Meteorological condition Wind profile radar Air mass trajectory Biomass burning |
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