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宝鸡市一次污染过程黑碳气溶胶的变化特征及潜在源解析
引用本文:周变红,曹夏,冯瞧,王锦,张容端,刘雅雯,杨震龙,刘文霞,王勇,李建军.宝鸡市一次污染过程黑碳气溶胶的变化特征及潜在源解析[J].大气与环境光学学报,2021,16(4):331-338.
作者姓名:周变红  曹夏  冯瞧  王锦  张容端  刘雅雯  杨震龙  刘文霞  王勇  李建军
作者单位:1.宝鸡文理学院地理与环境学院, 陕西省灾害监测与机理模拟重点实验室, 陕西 宝鸡 721013;2.中国科学院地球环境研究所, 中国科学院气溶胶化学物理重点实验室, 陕西 西安 710061;3.西安市环境监测站, 陕西 西安 710114;4.宝鸡市环境监测中心站, 陕西 宝鸡 721006;5.宝鸡海蓝工程咨询有限公司, 陕西 宝鸡 721000
基金项目:Supported by National Foundation Project (国家基金委面上项目, 41977332), Research Project of Shanxi Provincial Natural Science (陕西省 自然科学基础研究项目, 2019JQ4041), Project of Key Laboratory of Aerosol Chemistry and Physics of Chinese Academy of Sciences (中国科学院气溶胶化 学物理重点实验室项目, KLACP2004), Key Projects of Baoji College of Arts and Sciences (宝鸡文理学院重点项目, ZK2018049), Baoji University of Arts and Sciences Postgraduate Innovation Research Project (宝鸡文理学院研究生创新研究项目, YJSCX20YB30)
摘    要:利用 AE-31 型黑碳仪于 2019年 2 月 4–26 日对宝鸡市的黑碳 (BC) 气溶胶进行了在线连续监测, 并结合 PM2:5 质量浓度、风速风向等数据, 采用聚类分析研究了该地区污染期间 BC 质量浓度的变化及来源。结果表明, 观测期间 BC 平均质量浓度为 2.8 µg·m−3, 范围为 0.4∼8.0 µg·m−3; PM2:5 平均质量浓度为 119.9 µg·m−3, 范围为 17.3∼221.9 µg·m−3; 重度污染期间 BC 和 PM2:5 平均质量浓度分别为 3.4 µg·m−3 和 176.4 µg·m−3。空气质量为“良”, BC 质量浓度日变化有 明显峰值; 空气质量为“ 轻度污染”时, BC 质量浓度日变化呈“双峰双谷”型; 当空气质量为“中度和重度污染”时, BC 质 量浓度呈现白天低夜间高的变化趋势。研究结果还发现东南和东北风向对 BC 影响较大。在静风和非静风条件下, 当 空气质量为“良、轻度、中度和重度污染”时, BC 质量浓度分别为 1.9 µg·m−3 和 1.5 µg·m−3、 2.4 µg·m−3 和 2.2 µg·m−3、 3.5 µg·m−3 和 3.0 µg·m−3、 3.7 µg·m−3 和 3.3 µg·m−3, 表明污染越重 BC 浓度越大, 静风条件下, 污染物易累积。进一步 的后向轨迹聚类分析表明, 来自宝鸡东部的气团以及秦岭的阻挡效应对宝鸡 BC 的浓度影响较大。

关 键 词:黑碳气溶胶  宝鸡  重污染  聚类分析  
收稿时间:2021-01-29
修稿时间:2021-03-31

Variation Characteristics and Potential Source Apportionment of Black Carbon Aerosol During Primary Pollution Process in Baoji
ZHOU Bianhong,CAO Xia,FENG Qiao,WANG Jin,ZHANG Rongduan,LIU Yawen,YANG Zhenlong,LIU Wenxia,WANG Yong,LI Jianjun.Variation Characteristics and Potential Source Apportionment of Black Carbon Aerosol During Primary Pollution Process in Baoji[J].Journal of Atmospheric and Environmental Optics,2021,16(4):331-338.
Authors:ZHOU Bianhong  CAO Xia  FENG Qiao  WANG Jin  ZHANG Rongduan  LIU Yawen  YANG Zhenlong  LIU Wenxia  WANG Yong  LI Jianjun
Abstract:The black carbon (BC) aerosol data of Baoji City, China were continuously monitored online from February 4 to 26, 2019 using AE-31 Aethalometer in this work, and then combined with the data of PM2:5 mass concentration, wind speed and direction, the variation of BC mass concentration and its sources during the pollution in this region were investigated by cluster analysis. The results shows that the average mass concentration of BC during the observation period is 2.8 µg·m−3, ranging from 0.4 to 8.0 µg·m−3, the average mass concentration of PM2:5 is 119.9 µg·m−3, ranging from 17.3 to 221.9 µg·m−3, and the average mass concentrations of BC and PM2:5 during heavy pollution are 3.4 µg·m−3 and 176.4 µg·m−3, respectively. When the air quality is ”good”, the daily variation of BC mass concentration has obvious peak; when the air quality is ”light pollution”, the daily variation of BC mass concentration is ”double peak and double valley” type; when the air quality is ”moderate and heavy pollution”, the daily variation of BC mass concentration shows a trend of low during the day and high at night. It is also shown that southeast and northeast wind directions have a strong influence on BC. Under gusty and non-gusty conditions, when the air quality is good, light, moderate and heavy pollution, the BC mass concentrations are 1.9 and 1.5 µg·m−3, 2.4 and 2.2 µg·m−3, 3.5 and 3.0 µg·m−3, 3.7 and 3.3 µg·m−3, respectively. It shows that the heavier the pollution, the greater the BC concentration, and the pollutants tend to accumulate under static wind conditions. Furthermore, backward trajectory clustering analysis shows that the air mass from the east of Baoji and the blocking effect of Qinling Mountains have a greater influence on the concentration of BC in Baoji.
Keywords:black carbon aerosol  Baoji  heavy pollution  cluster analysis  
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