主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2016, Vol. 32 ›› Issue (5): 114-121.doi: 10.3969/j.issn.1673-503X.2016.05.016

• 论文 • 上一篇    下一篇

1960-2014年南昌市霾天气气象要素及主要大气污染物变化特征

陈翔翔1, 胡磊2,3, 彭王敏子4, 刘波1   

  1. 1. 江西省气象台, 江西 南昌 330096;
    2. 江西省气象局, 江西 南昌 330046;
    3. 江西省农业气象试验站, 江西 南昌 330200;
    4. 江西省气象科学研究所, 江西 南昌 330096
  • 收稿日期:2015-08-06 修回日期:2015-11-23 出版日期:2016-10-31 发布日期:2016-10-31
  • 通讯作者: 胡磊 E-mail:alei8030@sina.com
  • 作者简介:陈翔翔,女,1986年生,工程师,主要从事中短期天气预报研究,E-mail:chenxiangxiang666@163.com。
  • 基金资助:

    江西省气象局重点项目“南昌市灰霾天气与肺癌发病率关系及预报服务研究”(201409)资助。

Characteristics of meteorological parameters and main atmospheric pollutants of haze events in Nanchang from 1960 to 2014

CHEN Xiang-xiang1, HU Lei2,3, PENG Wang-minzi4, LIU Bo1   

  1. 1. Jiangxi Meteorological Observatory, Nanchang 330096, China;
    2. Jiangxi Meteorological Service, Nanchang 330046, China;
    3. Jiangxi Agro-meteorological Experiment Station, Nanchang 330000, China;
    4. Jiangxi Institute of Meteorological Science, Nanchang 330096, China
  • Received:2015-08-06 Revised:2015-11-23 Online:2016-10-31 Published:2016-10-31

摘要:

利用1960-2014年南昌市国家气象站常规观测资料和2001-2014年南昌市环境保护部门大气污染物监测资料,采用合成分析法及Eta相关系数法等方法,对南昌市霾天气的气象要素和主要大气污染物变化特征及霾天气与大气污染物的关系进行了分析。结果表明:1960-2014年南昌市年平均霾日数呈增加的趋势,且秋冬季霾日多,春夏季霾日少。近55 a南昌市霾天气08时地面平均风速为1.6 m·s-1,以东北风为主,较小的地面风速有利于霾天气的产生与发展;08时地面气压主要集中在1010-1025 hPa,平均值为1015.3 hPa;925 hPa温度露点差呈北高南低的分布,南昌市位于低层干舌底部,风由干区吹向南昌地区;925 hPa主导风向为偏东北风,风速主要集中在3.0-8.0 m·s-1,850 hPa风速分布与925 hPa基本一致。南昌地区低层(925 hPa)处于气流辐散区和中层(500 hPa)处于弱槽后部是霾天气形成的有利天气形势;有59.1%、45.3%的霾日于08时和20时在地面至850 hPa之间存在逆温,逆温使大气处于稳定状态,有利于霾天气的发展。南昌市主要大气污染物中,PM10、NO2、SO2、PM2.5月平均浓度最大值均出现在12月和1月,最小值均出现在7月和8月,与霾天气的季节分布一致,有霾时各污染物浓度明显比无霾时偏高。由Eta相关分析可知,4种污染物的日平均浓度与霾天气的相关关系由强至弱分别为PM10、PM2.5、NO2和SO2,其中PM10浓度与霾天气的相关系数为0.694,二者为强相关。

关键词: 霾, 气象要素, 逆温, PM10, PM2.5, 相关分析

Abstract:

Based on the conventional meteorological data from national meteorological stations in Nanchang from 1960 to 2014 and atmospheric pollutant observations from environment protection department from 2001 to 2014,an Eta correlation coefficient method and a regression analysis method were used to study the characteristics of meteorological parameters and main atmospheric pollutants of haze as well as the relationship between haze and atmospheric pollutants in Nanchang.The results show that annual haze days in Nanchang gradually increase from 1960 to 2014,and they occur mostly in autumn and winter but less in spring and summer.The averaged surface wind speed is 1.6 m·s-1 at 08:00 of haze days in recent 55 years in Nanchang,and the northeasterly winds prevail.Such small wind speed favors the formation and development of haze weather.The averaged surface air pressure at 08:00 of haze days mostly ranges in 1010-1025 hPa,with a mean value of 1015.3 hPa.The values of temperature-dew point depression at 925 hPa are larger in the northern region and smaller in the southern region.Winds blow from the dry area to the Nanchang region that is located at the bottom of a dry tongue at lower altitudes.The northeasterly flow prevails at 925 hPa,with wind speed concentrating in 3.0-8.0 m·s-1.The distribution of wind speed at 850 hPa is consistent with that at 925 hPa.Air flows divergence at lower altitudes (at 925 hPa) and a weak through at the middle altitudes (at 500 hPa) located before the Nanchang region form a favorable weather situation for haze occurrence.There are 59.1% and 45.3% of haze days with thermal inversion layer between surface and 850 hPa at 08:00 and 20:00,respectively.Inversion layer makes astable atmospheric condition that favors haze development.Concerned for main air pollutants in Nanchang,the monthly mean concentrations of PM10,NO2,SO2,and PM2.5 show the maximum value in December and January and the minimum value in July and August,which is consistent with the seasonal variation of haze.Pollutant concentrations of haze days are obviously larger than those of non-haze days.According to the Eta correlation analysis,the correlations between daily mean concentrations of four pollutants and haze decrease in order of PM10,PM2.5,NO2,and SO2.The correlation coefficient between PM10 concentration and haze is 0.694,which means a strong correlation.

Key words: Haze, Meteorological parameter, Temperature inversion, PM10, PM2.5, Correlation analysis

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