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我国小麦白粉病发生流行的长期气象预测研究
引用本文:钱拴,霍治国,叶彩玲. 我国小麦白粉病发生流行的长期气象预测研究[J]. 自然灾害学报, 2005, 14(4): 56-63
作者姓名:钱拴  霍治国  叶彩玲
作者单位:1. 国家气象中心,北京,100081
2. 中国气象科学研究院,北京,100081
摘    要:确定了影响我国小麦白粉病发病流行的9项关键环流特征因子指标,其中4项较好地表征了我国小麦白粉病发病面积轻、偏轻、偏重、重4个级别的气候特征.以关键环流特征因子距平为预测因子,建立的上年10月初、当年4月初制作预报的2个全国小麦白粉病发病面积距平预测模式历史拟合效果较好,对2004年的外延预报准确率分别达87.5%和98.2%.通过分析关键大气环流特征因子对我国小麦白粉病发生流行的可能影响机制,发现前期关键环流特征因子对我国小麦白粉病的发生流行具有很好的气候背景指示效应.

关 键 词:小麦白粉病  大气环流  关键特征因子  距平  长期气象预测
文章编号:1004-4574(2005)04-0056-08
收稿时间:2005-06-07
修稿时间:2005-06-072005-07-30

Long-term meteorological prediction research on epidemic of wheat powdery mildew in China
QIAN Shu-an,HUO Zhi-guo,YE Cai-ling. Long-term meteorological prediction research on epidemic of wheat powdery mildew in China[J]. Journal of Natural Disasters, 2005, 14(4): 56-63
Authors:QIAN Shu-an  HUO Zhi-guo  YE Cai-ling
Affiliation:1. National Meteorological Center, Beijing 100081, China; 2. Chinese Academy of Meteorological Sciences, Beijing 100081, China
Abstract:Nine key atmospheric circulation characteristic factors indices affecting epidemic of wheat powdery mildew in China are determined, and in which 4 key circulation characteristic factors indices can indicate obviously climate characteristics of various epidemic areas degrees in light, a little light, a little severe and severe. The 2 epidemic area prediction models which can be used at the beginning of last October and April are established. The historical simulated results from 1975 to 2003 are good, and the extrapolated prediction accuracies of the 2 prediction models for 2004 can achieve 87.5% and 98.2%. The key atmospheric circulation characteristic factors have very good climate background indications of epidemic of wheat powdery mildew in China, through analyzing their possible influence.
Keywords:wheat powdery mildew   atmospheric circulation    key characteristic factor   anomaly   long-term meteorological prediction
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