Abstract:
This study focus on design Remote-sensing based hydrological modeling in megech river
catchment, Lake Tana basin, north western Ethiopia. In Megech river catchment many people
resides and different development activities underway. Megech river flooded the catchment
sometimes by changing its course. In the catchment there is no early warning system. Therefore
to establish water resource management and flood early warning system in Megech river
catchment knowing the correct amount of water is crucial. Hydrological model helps to generate
historical current or natural stream flow records as well as future yield or scenario modeling.
Models can be developed using hydrological and remote sensing based data but the difficulty is
the availability of long year hydrological data in Megech river basin. Hence to alleviate the
availability of long year hydrological data this study focus on developing remote sensing based
hydrological model on Megech river basin. In this study quantitative methods applied. The data
obtained from metrological station is in-situ rain fall adjusted data taken as suitable for the
model. When the model runs the data the parameter result obtained as is ME=−2.48938,
MAE=2.48938, RMSE STDres R (Correlation) R (Nash Sutcliffe). This shows that the result
obtain has smaller error when compared with the standard. Hence MIKE SHE model is
preferred than other models to simulate river basin. Because in MIKE SHE model to simulate the
river basin or catchment the data taken is grid based. In general to develop hydrological model
which can help to establish flood controlling and water resource management system using
remote sensing data by MIKE SHE model building software is one option. Hence the result
obtained by simulates the river basin or catchment similar to the result obtained using
metrological data the reason is the data taken is grid based as well as there is no missed value in
remote sensed data. In this study it is recommended that when availability of meteorological
data is difficult design remote sensing based hydrological model will be a solution to estimate
the correct amount of water for establishment of flood controlling and water resource
management system.
