基于MODIS的SEBAL模型在流域蒸散发反演中的应用  

Application of SEBAL Model for Inversing Catchment Evapotranspiration Based on MODIS Data

作　　者：邓志民[1] 张翔[1] 罗蔚[1,2] 

机构地区：[1]武汉大学水资源与水电工程科学国家重点实验室,湖北武汉430072 [2]江西省水利规划设计院,江西南昌330029

出　　处：《水电能源科学》2012年第12期6-9,共4页Water Resources and Power

基　　金：国家自然科学基金资助项目(71073115);国家自然科学基金资助重点项目(40730632)

摘　　要：地表蒸散发是地气水分循环过程中的重要环节,合理准确地估算蒸散发对了解大尺度流域内水分循环和能量平衡具有重要意义。以汉江上游为例,利用MODIS遥感数据,选用马里兰大学UMD分类机制对2001年土地覆盖进行分类,并采用基于地表能量平衡原理的SEBAL模型对日蒸散发进行估算和分析。结果表明,林地的平均日蒸散发量最大,草地、耕地次之。Surface evapotranspiration, as an important part of the land-atmospheric water cycle process, its reasona- ble and accurate estimation plays a significant role in understanding of water cycle and energy balance at the large scale catchment. First of all, the land cover in the upper reaches of the Hanjiang River Basin in 2001 is classified by adopting University of Maryland （UMD） classification mechanism and incorporating MODIS remote sensing data. And then the daily evapotranspiration is estimated by applying the SEBAL model-based surface energy balance algorithm. The results show that the average daily evapotranspiration of forest land has the largest value, and the grassland and the arable land follow.

关 键 词：汉江上游 MODIS 土地覆盖 SEBAL 蒸散发 

分 类 号：TV125[水利工程—水文学及水资源] P426.2[天文地球—大气科学及气象学]