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 (1): 40-45.doi: 10.11927/j.issn.1673-503X.2016.01.006

• 论文 • 上一篇    下一篇

基于序列重建的湖北省大范围持续性霾过程特征分析

王凯, 方思达, 李兰   

  1. 武汉区域气候中心, 湖北武汉 430074
  • 收稿日期:2014-11-12 修回日期:2015-04-08 出版日期:2016-02-28 发布日期:2016-02-28
  • 作者简介:王凯,男,1980年生,工程师,主要从事气候变化和应用气象研究,E-mail:68461180@qq.com。
  • 基金资助:
    2013年湖北省科技支持计划项目(2013BCB020)资助。

Characteristics of persistent haze periods using large range sequence reconstruction in Hubei province

WANG Kai, FANG Si-da, LI Lan   

  1. Wuhan Regional Climate Center, Wuhan 430074, China
  • Received:2014-11-12 Revised:2015-04-08 Online:2016-02-28 Published:2016-02-28

摘要: 利用1961-2013年湖北省76个气象站逐日天气现象、相对湿度和能见度等观测资料,重建了湖北省霾日序列,建立大范围持续性霾过程的强度等级评价模型及指数,并分析了湖北省霾日和大范围持续性霾过程的时空变化特征。结果表明:1961-2013年湖北省霾日序列重建前和重建后时空分布的年代际变化差异较小,但变化趋势相反。基于霾日的重建序列,近50 a湖北省霾日具有明显的年代际变化特征,2000年后霾日增加趋势尤其明显,冬季为霾易发季节。湖北省大范围持续性霾过程主要出现在20世纪70年代及21世纪初,2013年尤为突出;三峡河谷至鄂西北东部和鄂东中北部地区为持续性霾过程高发地区。经验证,大范围持续性霾过程指数(LSCHI)的评估效果较好。

关键词: 序列重建, 大范围霾过程, LSCHI指数

Abstract: Based on daily weather phenomenon, relative humidity and visibility data at 76 weather stations from 1961 to 2013, daily haze sequence was rebuilt in Hubei province, and a grade evaluation model for a large scale persistent haze event and corresponding indexes were built.Temporal and spatial characteristics of haze day and large scale consecutive haze events in Hubei province were also analyzed.The results show that there are a few differences between raw and corrected data for interdecadal variation of temporal and spatial distribution, while both trends are contrary.Interdecadal characteristics of haze day are significant in the recent 50 years in Hubei province according to sequence reconstruction of haze day.It is in a significant increasing trend after 2000, and haze day often occurs in winter.The large scale consecutive haze events mainly appear in 1970s and the early 21st century, especially in 2013.Higher frequency haze day is in the eastern region of northwestern Hubei province, and the north-central region of eastern Hubei province.According the results, the use of the LSCHI index to evaluate the large scale persistent haze period produces a better result.

Key words: Sequence reconstruction, Large scale persistent haze period, LSCHI index

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