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论文类型：期刊论文

发表时间：2009-05-30

发表刊物：JOURNAL OF HYDROLOGY

收录刊物：SCIE、EI、Scopus

卷号：370

期号：1-4

页面范围：155-162

ISSN号：0022-1694

关键字：Evapotranspiration; MODIS; Leaf area index; Xinanjiang model; Runoff prediction; Ungauged catchments

摘要：Vegetation processes are seldom considered in lumped conceptual rainfall-runoff (RR) models although they have significant impacts on runoff via the control of evapotranspiration. This paper incorporates the remotely-sensed the moderate resolution imaging spectrometer mounted on the polar-orbiting terra satellite-leaf area index (MODIS-LAI) data into Xinanjiang rainfall-runoff model and assesses the model performance on 210 catchments in south-east Australia. The results show that the inclusion of LAI data improves both the model calibration results as well as the daily runoff prediction in ungauged catchments. It is likely that more significant improvements to the model structure to integrate the remotely-sensed vegetation and other data can further reduce the uncertainty in runoff prediction in ungauged catchments. Crown Copyright (c) 2009 Published by Elsevier B.V. All rights reserved.