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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 is an important step in the process of groundwater moisture cycle. It is of great significance to estimate evapotranspiration reasonably and accurately to understand the water cycle and energy balance in a large-scale basin. Taking the upper reaches of the Hanjiang River as an example, the land cover of 2001 was classified using the UMD classification mechanism of the University of Maryland based on the MODIS remote sensing data. The SEBAL model based on the principle of surface energy balance was used to estimate and analyze the daily evapotranspiration. The results showed that the average daily evapotranspiration of forest land was the largest, followed by grassland and arable land.