Abstract:
For water resource management in ungauged
basins, rainfall runoff hydrological modelling is applied to
predict or estimate the response of watershed or drainage
basin to rainfall by simulating the rainfall runoff generation.
As climate data, mainly rainfall or precipitation is the given
input to the model, and thus even a minor variability in the
rainfall dataset would cause negative effects in the model
causing the predictions and estimations in the hydrological
system to infer less accurate results. Therefore, in the present
study, the spatial variability of rainfall is taken into account
via different spatial interpolation and computational methods
and their effect is reviewed. The basin is selected as to study
the variation of accuracy of simulation with different spatial
interpolation methods through a model which takes
precipitation as input and produces streamflow as output. The
model is calibrated for a four-year period. Further, the
validation is assessed for consecutive four-year period using
the calibrated parameter values. Subsequently, the calibrated
and validated model with the selected most suitable spatial
interpolation method can be used in watersheds with similar
catchment characteristics, and in our study, IDW method
considerably outperforms other methods for rainfall runoff
simulation at daily time-steps.
