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Estimation of Evapotranspiration in Beijing using Modified SEBAL

机译:利用改进的SEBAL估算北京的蒸散量

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摘要

Without direct consideration of the terrain factors (slope, aspect and elevation), the original SEBAL (Surface Energy Balance Algorithm for Land) is applicable mainly to plain area. Variables such as roughness length for momentum transport and soil heat flux are computed based on the relationship with surface temperature, NDVI (Normalized Difference Vegetation Index) and surface albedo. However, in the original SEBAL, a uniform empirical formula is utilized for the whole study area, which cannot fully reflect the variation of underlying surface. In this study SEBAL is improved by successfully coupling Digital Elevation Model (DEM) into the model for topography correction and formulated empirical formulas which vary with land use/cover types. Based on the landsat TM images, daily ET on June 23, 2005 in Beijing was estimated. The results indicate that retrieval ET by the modified SEBAL is more reasonable in the spatial distribution, being consistent with the complexity of land use/cover.
机译:无需直接考虑地形因素(坡度,纵横比和高程),原始的SEBAL(土地表面能量平衡算法)主要适用于平原地区。根据与地表温度,NDVI(归一化植被指数)和地表反照率之间的关系,计算出动量传输的粗糙度长度和土壤热通量等变量。但是,在原始的SEBAL中,整个研究区域使用了统一的经验公式,该公式无法完全反映基础表面的变化。在这项研究中,通过将数字高程模型(DEM)成功地耦合到用于地形校正的模型中,并制定了随土地利用/覆盖类型而变化的经验公式,SEBAL得到了改进。根据Landat TM影像,估计2005年6月23日北京的每日ET。结果表明,改进后的SEBAL在空间分布上更合理,与土地利用/覆盖的复杂性相吻合。

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