农业工程学报2012，Vol.28Issue(3)：123-128,6.DOI:10.3969/j.issn.1002-6819.2012.03.022
不同时间尺度太阳辐射数据对作物生长模型的影响
Sensitivity analysis of crop growth models to multi-temporal scale solar radiation
摘要
Abstract
The records of daily solar radiation(Rs,MJ·m-2·d-1)are the important inputs for crop simulation models.However,for some model users,Rs at longer temporal intervals are more available than that at daily scale.The objective of this study was to analyze the sensitivity of simulated crop growth and production using CERES-Maize and GROPGRO-Soybean,two widely used crop growth models,to uncertainty in Rs at different time scales(5-day,10-day,and monthly).Daily radiation data(1961-1990)from Vegetation/Ecosystem Modeling and Analysis Project(VEMAP)for the state of Georgia,USA were used to create 5-day,10-day,and monthly mean daily Rs data sets.Datasets related to daily Rs were used as background baselines.The overall performance of the models was not significantly affected by Rs under the studied time scales.Within locations,the simulated days to anthesis and grain yields from 5-day,10-day,and monthly Rs were close to that from daily Rs for maize and soybean under rainfed and irrigated conditions,respectively.Mean values of relative mean bias error(RMBE),mean bias error(MBE)and root mean square error(RMSE)of the simulated days to anthesis were 0,0 and 3.5 d for the two crops under the studied scenarios,respectively.The simulated yields were underestimated for maize and overestimated for soybean using 5-day,10-day,and monthly Rs for both rainfed and irrigated conditions,respectively.Under rainfed and irrigated conditions,the average RMBE and RMSE were-0.59%,120 kg/hm2 and-0.52%,129 kg/hm2 for maize yield,and 5%,152 kg/hm2 and 4.7%,165 kg/hm2 for soybean,respectively.Short-term bias in the difference between evaluated time scales and daily scale could affect the outputs of the crop models.Under the scenarios evaluated,CGOPGRO-Soybean model showed higher sensitivity to changes in multi-temporal Rs and water regimes than CERES-Maize model.Based on the results of this study,it can be concluded that 5-day,10-day,and monthly mean daily Rs could be used as an input for crop growth simulation models when daily Rs are not available.关键词
作物/模型/太阳辐射/决策支持/CERES-Maize/CROPGRO-SoybeanKey words
crops/ models/ solar radiation/ decision support systems/ CERES-Maize/ CROPGRO-Soybean分类
农业科技引用本文复制引用
武伟,范莉,李茂芬,刘洪斌,李尧琴..不同时间尺度太阳辐射数据对作物生长模型的影响[J].农业工程学报,2012,28(3):123-128,6.基金项目
China Postdoctoral Science Foundation(20090450794)and China National Tobacco Co.Chongqing companies(NY20110601070002). （20090450794）
