水文模型植被参数获取方法及应用研究

Obtaining method of vegetation parameter for hydrological model and its application

引入Spot/Vegetation(简称SPOT-VGT)归一化植被指数NDVI遥感资料,建立了叶面积指数LAI-NDVI模型,进行大尺度陆面水文模型VIC植被参数获取方法研究,将结果应用于黑河莺落峡流域水文模拟,并分析了植被参数对陆面水文循环要素的影响.结果表明:采用SPOT-VGT遥感资料建立的LAI-NDVI模型计算的叶面积指数较好地反映了实际叶面积指数的空间分布和时间变化,用此方法获取的植被参数结果优于模型推荐的查表法.

Spot/Vegetation NDVI （Normalized Difference Vegetation Index） data are used to estimate Leaf Area Index （LAI） in this paper. The obtained spatial and temporal vegetation data are used in macro-scale land surface hydrological model to simulate the period of 1998 - 2001 hydrologic processes of the Yingluoxia Basin, Heihe River. The results show that the LAI derived from LAI-NDVI model using remote sensing data well reflects the spatial and temporal distribution of real LAI. Moreover, the hydrological simulation using vegetation data from satellite images is significantly improved compared with the hydrology using VIC advised.