中国沙漠 ›› 2006, Vol. 26 ›› Issue (2): 278-282.

• 研究简报 • 上一篇    下一篇


杨 青, 杨莲梅, 张广兴, 李 霞, 李红军, 霍 文   

  1. 中国气象局 乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002
  • 收稿日期:2004-10-11 修回日期:2005-01-24 出版日期:2006-03-20 发布日期:2006-03-20

Research on Classification of Sandstorm Intensity Based on Probability Distribution of PM10 Concentration

YANG Qing, YANG Lian-mei, ZHANG Guang-xin, LI Xia, LI Hong-jun, HUO Wen   

  1. Institute of Desert Meteorology, China Meteorology Administration, Urumqi 830002, China
  • Received:2004-10-11 Revised:2005-01-24 Online:2006-03-20 Published:2006-03-20

摘要: 利用2004年1月~5月塔克拉玛干沙漠腹地塔中气象站的PM10和能见度仪自动监测资料,分析了PM10的浓度与能见度的关系,得出它们之间符合幂函数规律,并研究了沙尘暴发生时PM10的浓度分布特征,对不同能见度条件下的PM10的频率分别用正态、Weibull、Pearson Ⅲ型分布进行拟合,经比较发现Pearson Ⅲ型分布能够比较好的拟合PM10的实测频率分布。从方差分布的角度,定义置信区间并反推其出现的概率,得出弱、中、强沙尘暴的出现频率分别为60%、25%和15%,从而给出强、中、弱沙尘暴等级的PM10浓度界限标准。

关键词: 沙尘暴等级, 划分标准, 可吸入颗粒物

Abstract: In this article, the relation between concentration of PM10 and visibility accorded with power function based on data of PM10 concentration and visibility observed by visibility meter at Tazhong weather station in the middle of Taklimakan desert from January to May in 2004. At the same time, the distribution characteristic of PM10 concentration was also analyzed when sandstorm occurred. By contrast with the other two distributions, the Pearson Ⅲ distribution was able to simulate probability distribution of real concentration of PM10 after analyzing three probability distribution including normal distribution, Weibull distribution and Pearson Ⅲ distribution under different visibilities. According to the variance and defined confidence interval, the occurrence probability of light sandstorm, moderate sandstorm and heavy sandstorm were 60%, 25% and 15%, respectively. As a result, the concentration limits of PM10 corresponding to light sandstorm, moderate sandstorm and heavy sandstorm were shown.

Key words: classification of sandstorm intensity, classification criteria, inspiratory particles