Network representation in hydrological modelling on urban catchments in data-scarce contexts: A case study on the Oued Fez catchment (Morocco)

Bouizrou, Ismail; Chahinian, Nanée; Perrin, Jean-Louis; Muller, R.; Raïs, Naoual

doi:10.1016/j.ejrh.2021.100800

Cited by 11 publications

(16 citation statements)

References 95 publications

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“…The transfer of water from the unsaturated to the saturated store (st) is controlled by the saturated hydraulic conductivity and calculated below. 𝑠𝑡 = 𝐾 𝑠𝑎𝑡 𝑢 𝑠 𝑠 𝑑 (6) where: Ksat = hydraulic conductivity in saturated condition (m 2 /day) Us = unsaturation storage Sd = saturation deficit When the value of st is negative, the water will flow from the saturated zone to the unsaturated zone. However, the horizontal water exchange also takes place between the hydrological units.…”

Section: Methodsmentioning

confidence: 99%

“…The various hydrological models have been designed with different hydrological processes represented by mathematical equations [20,5,18,8]. Hydrological models were developed at least 50 years ago to study hydrological behavior or to manage them [30,23,4,24,7,6]. Some examples of hydrological models have been widely used for rainfallrunoff simulation, including: SWMM, MIKE-SHE, HSPF, PSRM, HEC-1, TOPMODEL, SWAT, etc [6,12].…”

Section: Introductionmentioning

confidence: 99%

“…Hydrological models were developed at least 50 years ago to study hydrological behavior or to manage them [30,23,4,24,7,6]. Some examples of hydrological models have been widely used for rainfallrunoff simulation, including: SWMM, MIKE-SHE, HSPF, PSRM, HEC-1, TOPMODEL, SWAT, etc [6,12]. There is even a kind of model built specifically for a small nonurban watershed, namely SWMHMS which was developed in 1972.…”

Section: Introductionmentioning

confidence: 99%

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Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

Seizarwati¹,

Syahidah²

2021

IOP Conf. Ser.: Earth Environ. Sci.

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Hydrological data in Indonesia, especially in the small islands, is minimal, including spatial distribution and temporal completeness. It will affect the accuracy of water availability estimation for water resources management interest. One of the solutions that can be undertaken is applying rainfall-runoff modeling to obtain the discharge value at a specific location. This study aims to determine surface water availability in each sub-catchment of the small island by implementing the hydrological model. The wflow model is applying to perform the model. This model uses input data including Digital Elevation Model (DEM), landuse, soil, Leaf Area Index (LAI), rainfall, evapotranspiration, and observation of river discharge for the calibration process. As a result, this island consists of 30 catchments with some potential catchments, namely Cao, Sakita, and Tatamo, that have a 90% dependable flow of 4213.3 L/s, 3803.6 L/s 8117 L/s, respectively. The result of water availability in Morotai Island is highly expected to be the reference for water resources management, especially for tourism and urban development.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

Seizarwati¹,

Syahidah²

2021

IOP Conf. Ser.: Earth Environ. Sci.

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“…HEC-HMS provides transformation tools, a number of different processing methods are provided by HEC-HMS. The Clark Unit Hydrograph and Snyder Unit Hydrograph methods, which have been successfully applied to simulate flooding in the Moroccan watershed [11,25,26,27,28]. In this study, direct runoff was transformed into Clark unit hydrograph.…”

Section: Clark Unit Hydrographmentioning

confidence: 99%

“…The performance criteria values during the calibration period were as follows: R² = 0.71, Pbias = 85.9 and Rmse = 4.00, R² shows that the applied statistical error tests were found to be in an acceptable range. A number of researchers in Morocco [11,25,26,27,34,35] have find a good fit, certain of them with an R² value greater than 0.70. The Percent Bias coefficient (Pbias) for the calibration reached 85.9 % whish demonstrates a large overestimation in this period.…”

Section: Model Performance Assessmentmentioning

confidence: 99%

GIS preprocessing for rainfall-runoff modeling using HEC-HMS in Nekkor watershed (Al-Hoceima, Northern Morocco)

et al. 2023

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All Discharge data are among the most critical factors that must be considered when evaluating the management of water resources in a watershed. Simulation of rainfall-runoff is therefore an important element in assessing the impacts of serious flooding. In the present study, rainfall-runoff in the Nekkor watershed in Al Hoceima province was simulated using GIS, remote sensing and the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) model. The applicability, capacity and suitability of this model for rainfall runoff in the watershed were examined. The watershed parameters were generated using (HEC-GeoHMS) and ArcGIS. The model was calibrated using a daily data set that occurred in the watershed between 2003 and 2007, the validation period was from 2009 to 2012. Model performance was evaluated using a variety of different statistical indices to study the response and impact of rainfall-runoff. Model parameters were changed and calibration was performed using the Soil Conservation Service Curve Number loss method. Consistent and satisfactory performance in terms of peak discharge, total flood volume, timing of peak discharge and overall hydrograph adjustment effect was found. The determination coefficient (R2) for the validation period reached 0.73 versus 0.71 for the calibration period. The root mean square error (RMSE) is within the acceptable range. The relative bias (RE) demonstrates an overestimation in the calibration period and an underestimation in the validation period in the peak flows. These results will help decision makers to better manage water resources in this watershed and mitigate flood risks.

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Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model

Liu,

Hu,

Zhao

et al. 2024

Water Resour Manage

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Network representation in hydrological modelling on urban catchments in data-scarce contexts: A case study on the Oued Fez catchment (Morocco)

Cited by 11 publications

References 95 publications

Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

GIS preprocessing for rainfall-runoff modeling using HEC-HMS in Nekkor watershed (Al-Hoceima, Northern Morocco)

Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model

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