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呼和浩特地区40a沙尘天气时空分布规律及演变趋势
引用本文:杨彩云,王文.呼和浩特地区40a沙尘天气时空分布规律及演变趋势[J].内蒙古气象,2012(1):19-23.
作者姓名:杨彩云  王文
作者单位:1. 南京信息工程大学,江苏南京210000/呼和浩特市气象局,内蒙古呼和浩特010051
2. 南京信息工程大学,江苏南京,210000
摘    要:文章利用呼和浩特地区1971—2010年扬沙、沙尘暴资料,采用线性倾向估计、多项式拟合、经验正交函数分解、小波分析、Mann-Kendall检验、滑动t检验、Yamamoto法等分析了1971—2010年呼和浩特地区扬沙、沙尘暴日数的时空分布特征及演变规律。结果表明:⑴呼和浩特各地区扬沙、沙尘暴日数空间分布具有高度的一致性,由西到东呈现出高—低分布特点。⑵春季(3—5月)是扬沙、沙尘暴天气现象最频发季节,不频发时段是秋季(9—10月),沙尘暴的季节分布基本上是春多秋少。⑶从年际分布特征来讲,扬沙、沙尘暴日数总体呈现显著地下降趋势,但在总体下降的同时到21世纪初期又有所上升。⑷扬沙日数序列研究时段内显著存在着5~8a周期振荡;沙尘暴日数序列的周期特征不明显。⑸通过突变检测得知:沙尘天气在20世纪70年代末、80年代初开始突变减少,之后整体呈现波动减少的趋势。⑹20世纪70年代呼和浩特地区扬沙、沙尘暴发生最多,80年代沙尘天气在逐步减少,90年代达最少,到了21世纪前10年扬沙、沙尘暴发生日数均较20世纪90年代有所增多。

关 键 词:沙尘暴  空间分布  时间分布

Spatial And Temporal Distribution And Evolution Tendency of Sand-dust Storm in Hohhot in Recent 40 Years
Authors:Yang Caiyun  WangWen
Institution:1.Nanjing University of Information Science & Technology,Jiangsu Nanjing 210044; 2.Hohhot Meteorological Bureau,Inner Mongolia Hohhot 010020)
Abstract:Based on duststorm observations during 1971—2010 years from 6 meteorological stations,this paper analyzed temporal and special distribution characteristics and evolution law using linear trend estimate value、polynomial fitting、EOF、wavelet analysis、Mann-Kendall test、moving t-test、yamamoto method.The results showed that:(1) The sand-dust storm days in space distribution with a high degree of consistency,from west to East exhibits a high-low distribution characteristics in Hohhot.(2)The sand-dust storm is most frequently accrued in the spring and lest frequently in the autumn.(3) Annual variation analysis showed that the sand-dust storm has significantly decreased in general,at the same time has risen to the early twenty-first Century.(4) The elevating sand days has 5~8a periodic oscillation;Cycle characteristic is not obvious of sand-dust storm days.(5) The mutation detection showed that the sand-dust storm days were reduced in the late 1970s and the beginning of 1980's.The sand-dust storm days were most happened in 1970s,and gradually reduced in 1980s.To the 1990s,sand-dust storm days were the lest,but increased in 2000s.
Keywords:sand-dust storm  temporal distribution  spatial distribution
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