HBV-light model together with remote sensing and geographic information system were used to achieve these objectives. In addition, hydro-meteorological data and census data were analysed and interviews were carried out to understand the current situation.
Results and Discussion:
The model is able to produce Nash--Sutcliffe efficiency of 0.809 for the calibration period and 0.618 for validation period. The scatter plot observation found efficiency of 0.8181. The model simulated river flow consistently for the study period except few underestimations of low flows. The analysis of Landsat images of the Pokhara of shows the significant increase of settlement from 6.33% to 51.71% between 1975 and 2013 which is also verified by census data and field interviews.
In overall, the HBV-light model can be applied to Nepalese catchment to simulate flows where data deficiency is one of the major problems. Having history of previous mega flood events, there is urgency to prepare disaster preparedness plans and policies to reduce significant losses from the future flood events and other disasters.