Abstract:
Rainfall-runoff modeling is indispensable tools for hydrological research. Runoff estimation isquite influential
for watershed development as its value has vital importance for most of the hydrological analysis.The major
artifact for the hydrologist is Runoff estimation in the developing countries where the most of the watersheds
are ungauged. There are different models for estimating runoff such as SWAT, HEC-HMS, HEC-RAS, MIKE
SHE, MIKE NAM 11 etc.The proposed research work focused on the use of Rainfall Runoff Library (RRL)
which incorporates five models such as Australian Water Balance Model (AWBM), Tank model, Soil Moisture
and Accounting Model (SMAR), Sacramento model and Simhyd model. It has 8 calibration optimizer and 10
objective functions.This study comparedthe AWBM model and Tank model for its relevance in terms of
performance and efficiency in Tandula catchment of Chhattisgarh, India.This paper undertakes 20 years daily
rainfall, evapotranspiration and runoff data for simulation from 1995 to 2014. Runoff is estimated for 20 year
period. The calibration has been carried out from 1995 to 2004 and validation from 2005 to 2014. The training
and testing values for AWBM model based on Nash Sutcliffe efficiency and genetic algorithm optimizer were
found 0.784 and 0.769 respectively and for Tank model, the values were found 0.837 and 0.791
respectivelyduring calibration and validation. Through the analysis it is revealed that Tank model performed
better than AWBM Model in term of Nash Sutcliffe efficiency. This analysis shows a good relation between
simulated and observed runoff. This can be used for predicting the runoff for extended period.