Rainfall-runoff modeling using HEC-HMS model for Meki river watershed, rift valley basin, Ethiopia

Watershed Hydrological Response in Developing Climate Change Resilience and Adaptation Strategies, case of Gilgal Gibe Watershed, Ethiopia

“…Of these models, Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) was preferred and employed for this study. This is due the fact that HEC-HMS model is simple to operate, needs minimum input parameters, ease to calibrate and validate and more reliable than the other conceptual models (Guduru et al 2023;. The most advantageous part of HEC-HMS models is that it contains basin model manager, meteorological model manager, control specification and input data (time series, paired data and gridded data) manager separately(US Army Corps of Engineers 2016).…”

“…It has a capability of computing all the watershed hydrological processes including surface runoff at different sub-basin and junctions within the watershed and at outlet, infiltration, evapotranspiration and reservoir routing. Also the model consists of several methods that help to compute excess rainfall (loss model), direct runoff (transform model), base flow and flood routing across and along river channel (Guduru et al 2023; US Army Corps of Engineers 2016). Considering the simplicity and accuracy, soil conservation service curve number (SCS-CN), SCS-Unit Hydrograph (SCS-UH), monthly constant, and Muskingum methods were selected for excess rainfall, direct runoff, base flow estimation and flood routing respectively.…”

“…Currently, there are tremendous watershed hydrological modeling tools across the globe. For instance, Soil and Water Assessment Tools (SWAT) (Ghadei1 et al 2018;Karakoyun and Kaya 2022;Koltsida et al 2021;Sisay et al 2017), Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) (Guduru et al 2023;Oleyiblo and Li 2010;El Yousfi et al 2023), Bayesian model (Han et al 2014;Thiemann et al 2001;Yang et al 2007), artificial neural network and machine learning (Yang et al 2020) are the most widely applicable hydrological modeling tools. Depending on the simplicity, data availability, number of input parameters need for the model, the calibrated and validated HEC-HMS model was used within this study.…”

“…HEC-HMS is a physically based semi-distributed model that require minimum type of data and easy to operate (Guduru et al 2023). The ability of HEC-HMS model to perform the most reliable watershed hydrological response to different elements of hydrologic cycles was assured via studies conducted by Guduru et al(2023) in Rift valley river basin, Ethiopia, Oleyiblo and Li (2010) in Misai and Wan'an catchment, China and Ramash(2017) in India. The main target of this study was evaluating the implication of modeling watershed hydrological response to climate change for climate change resilience and adaptation strategy.…”

Extreme Event-based Rainfall-runoff Simulation Utilizing GIS Techniques in Irawan Watershed, Palawan, Philippines

“…To develop a comprehensive coordination technique that connects rainfall-runoff modeling, Youssef et al [12] assessed the dangerous level of flash floods in arid places with limited or no hydrologic data using GIS methodologies and geomorphic characteristics. Guduru et al employed the HEC-HMS model to simulate streamflow, forecast flood frequency, and compare the results to statistical probability distribution functions to identify the most effective probability distribution functions to match observed streamflow data for the Meki River watershed [34].…”