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投稿时间：2016-07-27 修订日期：2017-01-03
投稿时间：2016-07-27 修订日期：2017-01-03
中文摘要: 春季涝渍灾害对南方小麦生长发育和产量形成严重影响，本文在对阴湿系数做降尺度修订的基础上，利用Logistic曲线方程构建了冬小麦涝渍指数模型，根据涝渍指数临界值、持续天数以及冬小麦的可能减产率将春季涝渍灾害划分为三个等级，并使用江苏省59个气象站1961—2010年逐日气象资料对模型进行历史反演。结果发现，春季涝渍指数与冬小麦相对气象产量呈显著负相关，随着涝渍指数增加，小麦气象产量线性下降；灾年发生的涝渍过程以1~3次为最多，超过80%，5次以上最少，占1.9%。最后，将涝渍指数模型应用于2014年冬小麦春季涝渍灾害的判别及评估，效果很好。
中文关键词: 冬小麦， 涝渍灾害， 动态监测， Logistic曲线
Abstract:Spring waterlogging disaster seriously affect the growth and yields of winter wheat in South China. In this paper, a waterlogging index model of winter wheat is constructed by using the Logistic curve equation based on downscaling amended cloud moist coefficient. According to the critical index value, the sustained days of rainy weather and the potential yield reduction rate of winter wheat, spring waterlogging disasters are divided into three levels. Then, the model is retrieved by using daily meteorological data from 59 stations in Jiangsu Province from 1961 to 2010. The results show that the waterlogging index are negatively correlated to the relative meteorological yields of wheat. With the increase of waterlogging index, the yields decrease. In wet years the disaster of waterlogging would occur one to three times (87.1%), and the least was 5 times (1.9%). Finally, the waterlogging index model is applied to the 2014 spring waterlogging disaster, achieving good result.
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基金项目:中国气象局气象关键技术集成与应用项目(CMAGJ2015M24)、公益性行业(气象)科研专项(GYHY201406028)和国家自然科学基金项目(41371412)共同资助
引用文本：
吴洪颜,高苹,谢志清,曹璐,2017.基于春季阴雨过程的冬小麦涝渍指数模型构建与应用[J].气象,43(3):373-377.
WU Hongyan,GAO Ping,XIE Zhiqing,CAO Lu,2017.Construction and Application of Waterlogging Index Model of Winter Wheat Based on Spring Rainy Weather[J].Meteor Mon,43(3):373-377.
吴洪颜,高苹,谢志清,曹璐,2017.基于春季阴雨过程的冬小麦涝渍指数模型构建与应用[J].气象,43(3):373-377.
WU Hongyan,GAO Ping,XIE Zhiqing,CAO Lu,2017.Construction and Application of Waterlogging Index Model of Winter Wheat Based on Spring Rainy Weather[J].Meteor Mon,43(3):373-377.