气象2017，Vol.43Issue(3)：373-377,5.DOI:10.7519/j.issn.1000-0526.2017.03.014
基于春季阴雨过程的冬小麦涝渍指数模型构建与应用
Construction and Application of Waterlogging Index Model of Winter Wheat Based on Spring Rainy Weather
摘要
Abstract
Spring waterlogging disaster seriously affect the growth and yields of winter wheat in South Chi-na.In this paper,a waterlogging index model of winter wheat is constructed by using the Logistic curve e-quation 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 nega-tively 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 wa-terlogging disaster,achieving good result.关键词
冬小麦/涝渍灾害/动态监测/Logistic曲线Key words
winter wheat/waterlogging disaster/dynamic discriminant/logistic curve分类
农业科技引用本文复制引用
吴洪颜,高苹,谢志清,曹璐..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,2017,43(3):373-377,5.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 （CMAGJ2015M24）
