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Research Article

A physical-based semi-distributed continuous hydrological modelling for Brahmani River Basin, Eastern India

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Received 21 Sep 2022, Accepted 06 Jun 2024, Published online: 18 Jun 2024
 

ABSTRACT

This paper describes a case study of continuous hydrologic modeling in the Brahmani River basin in India using the Hydrologic Engineering Center—Hydrologic Modeling System (HEC–HMS). The soil moisture algorithm (SMA) was employed as loss method for continuous simulations in the thirteen sub-basins. The sensitivity analysis showed that soil storage, tension storage and soil percolation are most sensitive parameters. The model performance was assessed for calibration period of 15 years (1990–2004) and validation period of 12 years (2005–2016), using statistical and visual evaluation techniques. During the calibration period, the observed and simulated values showed a good fit, with R2 ranging from 0.67 to 0.74, NSE from 0.66 to 0.72, and PBIAS from −8.5 to −9.5%. Similar performances are obtained during the validation period, with R2 ranging from 0.62 to 0.70, NSE from 0.60 to 0.68, and PBIAS from −2.5 to 21.4%. The results of the SMA procedure employed in the HEC-HMS model give valuable information for flood control and water supply management in the Brahmani Basin and similar other regions in Eastern India.

Acknowledgements

The U.S. Army Corps of Engineers, the Hydrologic Engineering Centre (HEC), is greatly acknowledged for providing the HEC-HMS software and documentation. The anonymous reviewers of the study are also very much appreciated. The authors acknowledge the Central Water Commission (CWC) and India Meteorological Department (IMD) for providing the required datasets for this study. The fellowship to the first author provided by the Ministry of Human Resources Department (MHRD), Government of India, is highly acknowledged.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability

The time series of daily discharge stream flow records are available in an archived database of the India-Water Resources Information System (India-WRIS: http://indiawris.gov.in/wris/#/), Government of India.

Additional information

Notes on contributors

Roshan Suryakant Mohanty

Roshan Suryakant Mohanty received his Masters of Technology degree in Water Resources Engineering from National Institute of Technology, Jamshedpur, Jharkhand. He is currently a research scholar in School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal. His research area includes flood forecasting, watershed management, hydrological modelling and hydraulic modelling.

Sangeeta Kumari

Dr. Sangeeta Kumari is an Assistant Professor in Department of Civil Engineering, National Institute of Technology, Jamshedpur, Jharkhand, India. She holds Ph.D. degree in Water Resources Engineering from Indian Institute of Science Bangalore, Karnataka, India. She holds M.S. (by research) in Water Resources Engineering from Indian Institute of Technology Madras and B.Sc. Engineering in Civil Engineering from Muzaffarpur Institute of Technology, Bihar, India. Her research area includes Water Resources Engineering, Water Resources Systems, Hydrology, Reservoir Operation, Fuzzy Set Theory and Stochastic Hydrology.

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