中国农业气象 ›› 2013, Vol. 34 ›› Issue (05): 576-581.doi: 10.3969/j.issn.1000-6362.2013.05.012

• 论文 • 上一篇    下一篇

基于气候适宜度的河南夏玉米发育期预报模型

李树岩,彭记永,刘荣花   

  1. 中国气象局/河南省农业气象保障与应用技术重点实验室/河南省气象科学研究所,郑州450003
  • 收稿日期:2013-02-20 出版日期:2013-10-20 发布日期:2014-01-03
  • 作者简介:李树岩(1979-),女,河北唐山人,硕士,高级工程师,从事农业气象灾害、作物模型应用等研究。Email:lsy_126com@126.com
  • 基金资助:
    公益性行业(气象)科研专项(GYHY200906021;GYHY201206047)

Prediction Model of Summer Maize Developmental Stages Based on Climatic Suitability in Henan Province

LI Shu yan,PENG Ji yong,LIU Rong hua   

  1. China Meteorological Administration/Key Laboratory of Agrometeorological Safeguard and Applied Technique in Henan Province /Henan Institute of Meteorological Sciences, Zhengzhou450003, China
  • Received:2013-02-20 Online:2013-10-20 Published:2014-01-03

摘要: 准确预报作物发育期是开展农业气象条件分析评估和灾害监测预警等工作的基础,利用河南省19个农气站1981-2006年夏玉米发育期观测资料和地面气象观测资料,建立综合温度、降水、日照三要素的气候适宜度评价模型,构建基于气候适宜度的夏玉米发育期预报生理指标及预报模型。利用2007-2010年观测数据对模型的预报结果进行验证,结果表明,各发育阶段持续日数模型的预报值与观测值吻合度较高,二者相关系数除抽雄-乳熟期稍低呈显著相关外,其它发育阶段均为极显著相关。各发育阶段持续日数预报值与观测值之间绝对误差(ABSE)在1.8~2.9d,标准误差(RMSE)在2.8~3.9d,七叶-拔节期预报精度最高,标准误差(RMSE)为2.8d,乳熟-成熟期稍差,RMSE为3.9d。模型的预报精度基本能满足业务服务的需求,具有推广应用价值。

关键词: 气候适宜度, 发育期, 预报模型, 夏玉米

Abstract: The accurate prediction of crop developmental stage is the basis of the agrometeorological condition assessment and disaster monitoring and early warning. The observed data including summer maize development stage and weather data from 1981 to 2006 of 19 agrometeorological stations in Henan province were used to establish the comprehensive climate suitability model of summer maize. And further, the physiological index and prediction model for developmental stage of summer maize were constructed based on the comprehensive climate suitability model. The prediction model was validated using the observed data of 4 years from 2007 to 2010. The results showed that there was good agreement between observations and predictions for the duration of each developmental stage. The correlation coefficients between observations and predictions of different stages were statistically significant at level P<0.01,except for the stage of tasseling to milk ripeness, which was statistically significant at level P<0.05. The absolute error (ABSE) ranged between 1.8 and 2.9 days, and the standard error (RMSE) ranged between 2.8 and 3.9 days. The accuracy was highest for the stage of 7 leaf-jointing and lowest for the stage of milk ripeness to maturity. The accuracy of the prediction model can basically meet the needs of agrometeorological operation and services

Key words: Climatic suitability, Developmental stages, Prediction model, Summer maize