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机构地区:[1]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101
出 处:《地球信息科学》2003年第3期91-96,共6页Geo-information Science
基 金:国家重点基础研究资助项目 ( G19990 43 5 0 8) ;中科院地理所创新项目 ( AD70 95 )
摘 要:蒸散是水资源管理的一个重要参数。与传统的蒸散计算方法相比 ,利用遥感进行蒸散研究具有快速、准确、大区域尺度及地图可视化显示等特点。 SEBAL模型是一个应用遥感影像收集到的可见光波段、近红外和热红外波段信息对大区域范围进行蒸散计算的模型 ,它是基于地表能量平衡方程 ,通过计算地表净辐射通量 ,土壤热通量和显热通量 ,最后计算出用于蒸散的潜热通量 ,进而计算出遥感影像拍摄时的瞬时蒸散及当天的总蒸散量。本文利用 SEBAL模型采用 ETM+影像对黄河三角洲进行了遥感蒸散研究 ,并对黄河三角洲的蒸散特点进行了分析。Evapotranspiration is an important parameter for water resource management Compared to the traditional ET computation methods, the ET computation method based on Remote Sensing has the characteristics of quickness, precision, large scale and visualization mapping SEBAL (Surface Energy Balance Algorithms for Land) is a model which is used to compute evapotranspiration in large scale region based on Remote Sensing images which have the visible, near infrared and infrared bands SEBAL model is based on surface energy balance equation which includes net radiance flux, soil heat flux and sensible heat flux and latent heat flux All these three heat fluxes are computed in sequence, then the latent heat flux which provides energy for evapotranspiration can be computed, finally instantaneous ET and daily ET can be obtained In this paper SEBAL model was used to compute the evapotranspiration for the Yellow River Delta where water resource is facing an urgent situation, in the end the evapotranspiration characteristics of Yellow River Delta are analyzed This study is helpful for better management of water resource of Yellow River Delta
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