Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index |
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| Authors: | Hongxia Li Yongqiang Zhang Francis HS Chiew Shiguo Xu |
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| Institution: | aDepartment of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China;bCSIRO Land and Water, P.O. Box 1666, Canberra ACT 2601, Australia |
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| Abstract: | 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. |
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| Keywords: | Evapotranspiration MODIS Leaf area index Xinanjiang model Runoff prediction Ungauged catchments |
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