基于SEBAL模型的扎龙湿地蒸散量反演

Retrieval of Evapotranspiration in Zhalong Wetland Based on SEBAL Model

以扎龙湿地为研究对象,利用SEBAL模型结合ETM+遥感影像、DEM及研究区附近12个站点的气象数据,反演得到净辐射量、土壤热通量、感热通量等地表能量通量;然后通过能量平衡方程得到潜热通量,并推算得到日蒸散量值。结合2001年的土地利用图分析了不同土地利用类型的日蒸散量特征,发现水体、沼泽地具有较高的日蒸散量,水田、草地、林地次之,旱地、未利用地、居民点较低,符合蒸散规律,说明SEBAL模型在区域蒸散量估算方面具有较大的实用性。

Zhalong Wetland was selected as a case study region. The Surface Energy Balance Algorithm for Land （SEBAL） model combined with Landsat-7 ETM ＋ image, DEM and meteorological data of 12 stations near Zhalong wetland were used to inverse land surface fluxes, such as net radiation,soil heat flux and sensible heat flux. Then the latent heat flux was calculated through energy balance equation and the daily evapotranspiration was estimated. The spatial distribution characteristic of daily evapotranspiration was analyzed by referencing land-use map of 2001. It was found that the water body and marshland were at high evapotranspiration rate, while the paddy field, grassland and woodland took the second place, and the dry land, unused land and residential area were at lowest evapotranspiration rate, which were accorded with the evapotranspiration theory. The result showed that SEBAL model had considerable practicability in estimating regional evapotranspiration.