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doi: 10.18178/ijesd.2025.16.2.1515
Modelling Capabilities of Two Physically Based Hydrologic Models for Streamflow Simulations
2School of Engineering and Computing (SEC), University of Central Lancashire, Preston PR1 2HE, United Kingdom
3Faculty of Engineering and Design, Atlantic Technological University, Sligo F91 YW50, Ireland
4Hydrology and Aquatic Environment, Environment and Natural Resources, Norwegian Institute of Bioeconomy and Research, 1433 Ås, Norway
5Water, Energy, and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, P.O. Box 8000, 90014 Oulu, Finland
6Department of Civil Engineering, Faculty of Engineering, University of the West Indies, St. Augustine P.O. Box 331310, Trinidad and Tobago
Email: udarasen20@gmail.com (U.S.); ravindupanditharathne97@gmail.com (R.P.); RDHHerath-mudiyansel@uclan.ac.uk(R.D.H); dush95h@gmail.com (D.M.A); s00263500@atu.ie (R.K.M.); sajana.hema@gmail.com (S.H.); miyuru.gunathilake@nibio.no (M.B.G.); hazi.Azamathulla@sta.uwi.edu (H.M.A); kkantamaneni@uclan.ac.uk (K.K.); upaka.rathnayake@atu.ie (U.R.)
*Corresponding author
Abstract—Hydrologic processes in a watershed are typically
simulated through hydrologic models due to their availability in
the public domain and improved computational capacities.
However, choosing a suitable model among the many available
for a region of interest is challenging. In our work, we compared
streamflow generated by the Soil and Water Assessment Tool
(SWAT) and the Hydrological Engineering Centre-Hydrologic
Modeling System (HEC-HMS) in the Kalu River Basin (KRB),
Sri Lanka, frequently impacted by floods. Meteorological data
including rainfall and temperature from 1990 to 2000 were used
to force the hydrologic models. In addition, we used soil, land
use data and a digital elevation model (DEM) for model
development. During the calibration phase (1993-1996) of the
SWAT model we achieved a coefficient of determination (R²) of
0.93 and a Nash-Sutcliffe Efficiency (NSE) of 0.87. In the
validation phase (1997–2000), these indices yielded values of 0.87
and 0.66, respectively. In the HEC-HMS model, during the
calibration phase, R2 and NSE yielded values of 0.89 and 0.91
while in the validation phase, these indices yielded values of 0.77
and 0.56, respectively. The exceedance probabilities at 10%,
50%, and 90% derived from flow duration curves (FDCs) from
HEC-HMS and SWAT models were 395, 159, 54.5 and 400.5,
148, 29.11 (all in m3/s), respectively. Similarly, for observed flow,
these values were 344.40, 138.98, and 65.35 m3/s, respectively.
Thus, the FDCs suggest that the HEC-HMS model captures low
flows reasonably. Neither model accurately resembled high
flows. During the first inter-monsoon season (March-April) the
HEC-HMS and SWAT underpredicted 3%, and 4% while
during the northeast monsoon season (December-February) the
models underpredicted 9%, and 2%, respectively. Similarly,
during the second inter-monsoon season (October-November)
and the southwest monsoon season (May-September), HECHMS
and SWAT models overestimated observed flow by 11%,
5%, and 8%, 17%, respectively. Both models performed
reasonably well on a seasonal basis with slight over-predictions
and under-predictions. Overall, it is clear that both models can
generally capture the hydrology of the KRB.
Keywords—Hydrologic Engineering Center-Hydrologic
Modeling System (HEC-HMS), Soil & Water Assessment Tool
(SWAT), Kalu River Basin (KRB), streamflow
Cite: Udara Senatilleke, Ravindu Panditharathne, Ruchiru D. Herath, Dushyantha M. Aththanayake, Randika K. Makubura, Sajana Hemakumara, Miyuru B. Gunathilake, Hazi Md. Azamathulla, Komali Kantamaneni, and Upaka Rathnayake, "Modelling Capabilities of Two Physically Based Hydrologic Models for Streamflow Simulations," International Journal of Environmental Science and Development vol. 16, no. 2, pp. 103-110, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).