| 基于MODIS大气廓线产品分析晚霜冻对冬小麦产量的影响 |
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| 引用本文： | 杨敏,刘峻明,王鹏新,胡新,黄健熙,汪念.基于MODIS大气廓线产品分析晚霜冻对冬小麦产量的影响[J].中国农业科技导报,2016,18(2):78-85. |
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| 作者姓名： | 杨敏 刘峻明 王鹏新 胡新 黄健熙 汪念 |
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| 作者单位： | 1.中国农业大学信息与电气工程学院, 北京 100083,2.河南省商丘农林科学院, 河南 商丘 476000 |
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| 基金项目： | 国家自然科学基金项目（41471342）资助。 |
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| 摘 要： | 晚霜冻是一种突发性的低温农业气象灾害,在我国黄淮小麦区几乎每年都有不同程度的发生,对冬小麦的稳产影响巨大。针对商丘市2013年发生的冬小麦严重晚霜冻,利用MODIS大气廓线产品分析晚霜冻对冬小麦产量要素的影响,以探究晚霜冻对冬小麦产量要素的影响特征。在获取MYD07_L2产品中的表面温度ST和低空可降水量WVL的基础上,分析晚霜冻过程与温湿度时间序列的关系,结合受冻小麦的实测数据,构建温湿度特征空间,分析低温低湿对产量要素的影响特征。结果表明:ST和WVL可以很好地反映研究区冬小麦生长的气象环境条件,其极端低温日期与实际的晚霜冻发生日期匹配良好,能很好地反映晚霜冻发生时冬小麦的低温低湿状态;晚霜冻发生过程中温湿度对穗粒数有显著的影响,最低温对穗粒数的影响明显,0℃以下的低温也呈现显著的叠加效应,对穗粒数影响显著;低温和低湿的共同作用对穗粒数有明显影响,小于0℃低温叠加与极端最低温对穗粒数的显著影响相似,能反映晚霜冻对穗粒数的明显影响。研究结果可对冬小麦拔节后晚霜冻造成产量影响的早期预判提供依据。
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| 关 键 词： | 晚霜冻 产量 穗粒数 冬小麦 特征空间 |
Influence of Late Frost on Winter Wheat Yield Using MODIS Atmospheric Profile Retrieval Products |
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| YANG Min,LIU Jun-ming,WANG Peng-xin,HU Xin,HUANG Jian-xi,WANG Nian.Influence of Late Frost on Winter Wheat Yield Using MODIS Atmospheric Profile Retrieval Products[J].Journal of Agricultural Science and Technology,2016,18(2):78-85. |
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| Authors: | YANG Min LIU Jun-ming WANG Peng-xin HU Xin HUANG Jian-xi WANG Nian |
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| Institution: | 1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083| 2.Shangqiu Research Institute in Agricultural Science of Henan Province, He'nan Shangqiu 476000, China |
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| Abstract: | Late frost, a kind of sudden low temperature agricultural meteorological disasters, occurred with different degrees in nearly years in Huanghuai wheat area of China and had a significant impact on winter wheat yield. According to the severe late frost of winter wheat in Shangqiu in 2013, this paper analyzed the influence of late frost toward winter wheat yield components using MODIS atmospheric profile retrieval products. Firstly, surface temperature (ST) and water vapor of lower atmosphere layer (WVL) series data of the MYD07_L2 products were selected to analyze the process of late frost. Then, some indexes were chosen from temperature and humidity to make a correlation analysis combining with the measured data from frost-damaged wheat. Finally, feature space of temperature and humidity were built using the correlation analysis results to analyze the effect of low temperature and humidity on yield components. The results showed that ST and WVL could reflect the meteorological environment of winter wheat growth. The dates of extreme low temperature matched actual late frost dates well and late frost occurred with the lower temperature and humidity condition. Temperature minimum less than 0℃ had obvious correlation with the grains per spike. The combination of temperature less than 0℃ and humidity obvious overlapped effects on the grains per spike. The results provided a basis for early prediction of impact on winter wheat yields caused by frost after jointing stage. |
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| Keywords: | late frost yield grains per spike winter wheat feature space |
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