Modeling of rainfall-runoff process using HEC-HMS model for an urban ungauged watershed in Tunisia

Khelifa, Walid Ben; Mosbahi, Manel

doi:10.1007/s40808-021-01177-6

Cited by 23 publications

(6 citation statements)

References 18 publications

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“…This is of course expected as the extremes of daily data would relatively be dumped out when it is average over the monthly bases. Moreover, HEC-HMS has also been reported to perform better to anticipate both the total volume runoff and discharge peak rate across a wide range of literatures (Alsubeai & Burckhard, 2021;ben Khélifa & Mosbahi, 2021;Patil et al, 2019;Raj Kafle, 2019;Sahu et al, 2020;Shekar, 2021). This can infer the fact that the model output of monthly bases shall give a better information of seasonal variations which much is helpful to the water resource managers, particularly for reservoir operators to modify their reservoir release guide rules.…”

Section: Hec-hms Model Calibration and Validation Resultsmentioning

confidence: 98%

Rainfall-Runoff Modeling and Hydrological Responses to the Projected Climate Change for Upper Baro Basin, Ethiopia

Muleta,

Marcell

2023

AJCC

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This paper presents the results of Rainfall-Runoff modeling and simulation of hydrological responses under changing climate using HEC-HMS model. The basin spatial data was processed by HEC-GeoHMS and imported to HEC-HMS. The calibration and validation of the HEC-HMS model was done using the observed hydrometeorological data and HEC-GeoHMS output data. The goodness-of-fit of the model was measured using three performance indices: Nash and Sutcliffe coefficient (NSE) = 0.8, Coefficient of Determination (R 2 ) = 0.8, and Percent Difference (D) = 0.03, with values showing very good performance of the model. Finally, the optimized HEC-HMS model has been applied to simulate the hydrological responses of Upper Baro Basin to the projected climate change for mid-term (2040s) and long-term (2090s) A1B emission scenarios. The simulation results have shown a mean annual percent decrease of 3.6 and an increase of 8.1 for Baro River flow in the 2040s and 2090s scenarios, respectively, compared to the baseline period (2000s). A pronounced flow variation is rather observed on a seasonal basis, reaching a reduction of 50% in spring and an increase of 50% in autumn for both mid-term and long-term scenarios with respect to the base period. Generally, the rainfall-runoff model is developed to solve, in a complementary way, the two main problems in water resources management: the lack of gauged sites and future hydrological response to climate change data of the basin and the region in general. The study results imply that seasonal and time variation in the hydrologic cycle would most likely cause hydrologic extremes. And hence, the developed model and output data are of paramount importance for adaptive strategies and sustainable water resources development in the basin.

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Section: Hec-hms Model Calibration and Validation Resultsmentioning

confidence: 98%

Rainfall-Runoff Modeling and Hydrological Responses to the Projected Climate Change for Upper Baro Basin, Ethiopia

Muleta,

Marcell

2023

AJCC

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“…The UBW's HEC-HMS model has been implemented, taking into account and segmenting the watershed into five sub-watersheds ( Table 3 ). The Specified Hyetograph approach had been selected for this study [ 50 , [84] , [85] , [86] , [87] ]. There was a total of five climatic gauge stations used to represent the catchment.…”

Section: Methodsmentioning

confidence: 99%

Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

Genjebo,

Kemal,

Nannawo

2023

Heliyon

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“…This parameter represents the average rainfall rate associated with a duration equal to the time of concentration for a return period. Once a return period is set and the time of concentration is calculated, rainfall intensity (I) should be determined from intensityduration-frequency (IDF) curves of a nearby weather station if local data is available [45].…”

Section: Rainfall Intensitymentioning

confidence: 99%

ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments

Manchado

Roldán-Valcarce

Jato-Espino

et al. 2021

IJERPH

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Surface runoff determination in urban areas is crucial to facilitate ex ante water planning, especially in the context of climate and land cover changes, which are increasing the frequency of floods, due to a combination of violent storms and increased imperviousness. To this end, the spatial identification of urban areas prone to runoff accumulation is essential, to guarantee effective water management in the future. Under these premises, this work sought to produce a tool for automated determination of urban surface runoff using a geographic information systems (GIS). This tool, which was designed as an ArcGIS add-in called ArcDrain, consists of the discretization of urban areas into subcatchments and the subsequent application of the rational method for runoff depth estimation. The formulation of this method directly depends on land cover type and soil permeability, thereby enabling the identification of areas with a low infiltration capacity. ArcDrain was tested using the city of Santander (northern Spain) as a case study. The results achieved demonstrated the accuracy of the tool for detecting high runoff rates and how the inclusion of mitigation measures in the form of sustainable drainage systems (SuDS) and green infrastructure (GI) can help reduce flood hazards in critical zones.

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Modeling of rainfall-runoff process using HEC-HMS model for an urban ungauged watershed in Tunisia

Cited by 23 publications

References 18 publications

Rainfall-Runoff Modeling and Hydrological Responses to the Projected Climate Change for Upper Baro Basin, Ethiopia

Rainfall-Runoff Modeling and Hydrological Responses to the Projected Climate Change for Upper Baro Basin, Ethiopia

Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments

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