基于光能利用效率的区域蒸散量反演模型——以玉米种植区为例  

A new method for retrieving estimation of regional evapotranspiration based on radiation use efficiency:A case study of maize

作　　者：苏涛[1] 冯绍元[1] 徐英[1] 

机构地区：[1]扬州大学水利科学与工程学院,扬州225009

出　　处：《国土资源遥感》2013年第3期14-19,共6页Remote Sensing for Land & Resources

基　　金：国家"十二五"科技支撑计划课题(编号:2011BAD25B05);江苏省水利动力工程重点实验室开放课题(编号:K100020;K11022)共同资助

摘　　要：以内蒙古河套地区解放闸灌域为研究区域,以实测生物量与土壤含水量及其关系方程为研究基础,建立了基于光能利用效率(radiation use efficiency,RUE)的区域蒸散量反演模型;以陆面能量平衡(surface energy balance al-gorithm for land,SEBAL)模型为参考,对反演的同一时期的区域蒸散量进行对比分析。结果表明:RUE与SEBAL模型反演的区域蒸散量在空间分布和纹理特征方面具有相似性且相关性较高,决定系数高于农业技术推广支持系统(decision support system for agrotechnology transfer,DSSAT)与SEBAL的;基于RUE建立的区域蒸散量反演模型能够较好地反映区域蒸散量,在监测区植被(或作物)单一的前提下,是一种有效方法。With Jiefang gate irrigation area of Hetao region in Inner Mongolia as the research district,and the biomass,the soil water and the relation equation between them in the measured values as the research foundation,the authors set up a regional evapotranspiration retrieving model based on the Radiation Use Efficiency（RUE）.The SEBAL（surface energy balance algorithm for land） model was taken as the referenced model to make a comparative analysis between the regional evapotranspirations in the same period.The results showed that the spatial distributions of evapotranspiration estimated by using the RUE method and the SEBAL model were similar in spatial distribution and texture features,and there only existed insigficant differences between the calculated results of the two models.The correlation coefficient between the RUE method and the SEBAL model was remarkably improved in comparison with that of the DSSAT（decision support system for agrotechnology transfer） method and the SEBAL model.It is also proved that the regional evapotranspiration can be better retrieved by the RUE method,with the retrieving accuracy obviously higher than that of the DSSAT method,and hence this method is a new and effective method for monitoring regional evapotranspiration.

关 键 词：区域蒸散量 光能利用效率(RUE) DSSAT 遥感 生物量 

分 类 号：S152.7[农业科学—土壤学]