International Journal of Environmental Science and Development

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Volume 16 Number 2 (2025)

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IJESD 2025 Vol.16(2): 103-110
doi: 10.18178/ijesd.2025.16.2.1515

Modelling Capabilities of Two Physically Based Hydrologic Models for Streamflow Simulations

Udara Senatilleke2, Ravindu Panditharathne1, Ruchiru D. Herath2, Dushyantha M. Aththanayake1, Randika K. Makubura3, Sajana Hemakumara1, Miyuru B. Gunathilake4,5, Hazi Md. Azamathulla6, Komali Kantamaneni2, and Upaka Rathnayake3,*
1Water Resources Management and Soft Computing Research Laboratory, Millennium City, Athurugiriya 10150, Sri Lanka
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
Manuscript received October 17, 2024; revised November 27, 2024; accepted December 6, 2024; published March 20, 2025

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

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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).

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