Abstract:
Water resource management has become vital
with the increase of demand for fresh water and modelling
of ungauged basins under the conditions of data scarcity has
always been a challenge. The two-parameter (2-P) and fourparameter
(4-P) models have been used in this study to
simulate the response of two river basins Maha Oya and
Kelani River in Sri Lanka in an attempt to investigate the
potential of these lumped parameter models. Both daily and
monthly rainfall and streamflow data sets have been used to
evaluate the model performance. Two key performance
indices, Pearson Correlation Coefficient (PC) and Mean
Relative Error (MRE) have been used as objective functions
to compare goodness of fit of the observed and simulated
streamflow. The two models were calibrated and validated
for 2011~2014 and 2008~2010 periods, respectively. Based
on the comparison of the results, it was found that the 4-P
model provides a greater accuracy for the evaluation of the
streamflow of the two selected river basins with a PC > 0.75
in both basins with both daily and monthly data. Even the
2-P model provided results with PC > 0.70 when used with
monthly and daily data and within the acceptable range.
Citation:
G. M. C. A. Perera and R. L. H. L. Rajapakse, "Daily and Monthly Lumped Parameter Hydrologic Models for Analysis of Small Watersheds in Sri Lanka," 2018 Moratuwa Engineering Research Conference (MERCon), 2018, pp. 372-377, doi: 10.1109/MERCon.2018.8421989.
