干旱气象 ›› 2019, Vol. 37 ›› Issue (4): 622-638.

• 论文 • 上一篇    下一篇

济南地区逆温层特征及其对颗粒物质量浓度的影响

尹承美1,焦洋1,何建军2,冯俊杰1   

  1. (1.山东省济南市气象局,山东济南250102;2.中国气象科学研究院,
    灾害天气国家重点实验室,中国气象局大气化学重点开放实验室,北京100081)
  • 出版日期:2019-08-30 发布日期:2019-09-04
  • 通讯作者: 何建军(1983— ),男,江苏如东人,博士,副研究员,主要从事大气环境研究. E-mail:hejianjun@cma.gov.cn。
  • 作者简介:尹承美(1977— ),女,山东济南人,副研级高工,主要从事天气预报和大气环境研究. E-mail:ycm_sdjn@sina.com。
  • 基金资助:
    济南市科技局社会民生重大专项(201704137)、山东省气象局重点课题(2016sdqxz05)和国家自然科学基金(41705080)共同资助

Characteristics of Temperature Inversion in Jinan and Its Effect on Particulate Matter Mass Concentration#br#

YIN Chengmei1, JIAO Yang1, HE Jianjun2, FENG Junjie1   

  1. (1. Jinan Meteorological Bureau of Shandong Province, Jinan 250102, China;
    2. Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe
     Weather & Key Laboratory of Atmospheric Chemistry of CMA, Beijing 100081)
  • Online:2019-08-30 Published:2019-09-04

摘要: 利用L波段探空雷达数据、温度廓线仪数据、微脉冲激光雷达边界层数据、PM2.5质量浓度数据,结合常规地面气象观测资料,分析济南2008—2017年逆温层参数特征以及逆温对PM2.5质量浓度的影响。结果表明,2008—2017年济南逆温发生频率为47.2%,且呈逐年下降趋势,气候倾向率为0.44%·a-1。逆温频率、逆温强度和逆温层厚度在冬季较高,夏季较低,但不同类型逆温季节变化不同。济南地区贴地逆温平均厚度为134 m,逆温强度为2.46 ℃·(100 m)-1;脱地逆温平均厚度为212 m,逆温强度为1.34 ℃·(100 m)-1。逆温是影响空气质量的重要因子之一,逆温的存在导致济南近地面PM2.5质量浓度升高24.8%。PM2.5质量浓度与逆温层厚度呈显著正相关,而与逆温强度的相关性未通过显著性检验。

关键词: 逆温层, L波段雷达, 逆温强度, 温度廓线仪, 颗粒物

Abstract: The paper analyzed the characteristics of temperature inversion and the impact of temperature inversion on PM2.5 mass concentration in Jinan from 2008 to 2017 based on L-band radar data, temperature profiler data, micro-pulse laser radar data, PM2.5 mass concentration data and conventional meteorological observation data. The frequency of temperature inversion was 47.2%, and it showed a decreasing trend year by year, with an annual decline rate of 0.44%. In general, the frequency of temperature inversion, temperature inversion intensity and thickness were higher in winter and lower in summer, but seasonal variations of different inversion types were different. The mean thickness of ground inversion was 134 m, and the intensity of ground inversion was 2.46°C·(100 m)-1. The thickness of suspension inversion was 212 m, and the intensity of that was 1.34°C·(100 m)-1. Temperature inversion was one of the important factor affecting air quality. The occurrence of temperature inversion led to a 24.8% increase in PM2.5 mass concentration in Jinan. PM2.5 mass concentration was significantly and positively correlated with the thickness of temperature inversion, while the correlation between PM2.5 mass concentration and the intensity of temperature inversion did not pass the significance test.

Key words: inversion layer, L-band radar, micro-pulse radar, temperature profiler, particulate matter

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