小时气象要素对PM_(2.5)浓度的影响
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  • 英文篇名:The impact of hourly meteorological elements on PM_(2.5)
  • 作者:徐迎春 ; 谌伟 ; 刘佳颖 ; 刘佩廷
  • 英文作者:Xu Yingchun;Shen Wei;Liu Jiaying;Liu Peiting;Wuhan Meteorological Bureau;China Civil Aviation University;
  • 关键词:PM2.5 ; 降水 ; ; 武汉
  • 英文关键词:PM2.5;;Precipitation;;Wind;;Wuhan
  • 中文刊名:NMHB
  • 英文刊名:Environment and Development
  • 机构:武汉市气象局;中国民航大学;
  • 出版日期:2019-04-28
  • 出版单位:环境与发展
  • 年:2019
  • 期:v.31;No.153
  • 语种:中文;
  • 页:NMHB201904109
  • 页数:2
  • CN:04
  • ISSN:15-1369/X
  • 分类号:183+231
摘要
本文基于武汉气象站点和空气质量监测点的小时数据,分析有无降水、风对PM_(2.5)浓度的影响。结果表明:武汉各区PM_(2.5)污染物浓度空间分布不均。中心城区PM_(2.5)污染最严重,新洲区空气质量最好,其余各区PM_(2.5)平均浓度值较接近;PM_(2.5)平均浓度值日变化趋势呈单峰型。降水对PM_(2.5)有清理作用。武汉重污染天气多为输入性污染,输入路径包括偏北路径和偏东路径。
        Based on the hourly data of Wuhan meteorological stations and air quality monitoring points, this paper analyzes the effects of precipitation and wind on PM_(2.5) concentration. The results show that the spatial distribution of PM_(2.5) pollutants in various districts of Wuhan is uneven. The PM_(2.5) pollution in the central city is the most serious. The air quality in Xinzhou District is the best. The average concentration of PM_(2.5) in the other districts is close to each other; the daily variation trend of the average concentration value of PM_(2.5) is unimodal. Precipitation has a cleansing effect on PM_(2.5). Most of the heavily polluted weather in Wuhan is imported pollution, and the input path includes the northerly route and the eastward path.
引文
[1]程海容,王祖武,冯家良等.武汉市城区大气PM2.5的碳组分与源解析[J].生态环境学报,2012,21(9):1574-1579.
    [2]李芳,董倩,任兆鹏等.鲁西南一次持续空气污染过程的气象条件分析[J].山东气象,2016,36(147):36-41.
    [3]段莹,吴战平,张东海等.贵阳市降水对PM2.5污染物湿清除作用[J].气象科技,2016,44(3):458-473.
    [4]崔宜少.威海PM2.5浓度与气象要素的相关分析[J].山东气象,2015,35(143):17-22.

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