Rainfall-Runoff Modelling Using SCS-CN Under HEC-HMS and GIS Techniques in Matadi Catchment of Congo River, Democratic Republic of Congo
Rattachement africain : Tunisie. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Estimating runoff volumes using rainfall data has become critical in order to evaluate the required water storage capacity in reservoirs and assess the danger of flooding. The current research focuses on the creation of a hydrological model known as the Hydrologic Engineering Center (HEC-HMS), which is based on Digital Elevation Models (DEM). Through simulated rainfall-runoff processes, this hydrological model was used in conjunction with Geospatial Hydrologic Modelling Extension (HEC-GeoHMS) and Geographic Information Systems (GIS) to predict the discharge of the Congo Central River catchment (Democratic Republic of Congo). Meteorological models were built in HEC-HMS utilizing daily rainfall data from 2010 to 2020, with control criteria established for a given time period and one-day time step. The Soil Conservation Service-Curve number (SCS-CN) was used for loss estimations, the SCS Unit Hydrograph technique for transformation, and the Muskingum method for routing. The model was calibrated and validated by comparing observed and simulated daily rainfall amounts. The results showed a strong connection between observed and simulated hydrographs, with a coefficient of determination of 70% for both calibration and verification. The dam's discharge was somewhat overstated even though it was successfully replicated for the given duration. These findings indicate that the model is suitable for hydrological simulations in the Matadi River catchment region.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Rainfall-Runoff Modelling Using SCS-CN Under HEC-HMS and GIS Techniques in Matadi Catchment of Congo River, Democratic Republic of Congo
- Date Crossref
- 30/10/2025
- Éditeur
- International Journal of Science and Research
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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National Research Institute of Rural Engineering Tunisie (code pays fourni par la source)Organisme public
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University of Carthage Tunis, Tunisie (code pays fourni par la source)Université ou école supérieure
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Institut National Agronomique de Tunisie Tunisie (code pays fourni par la source)Université ou école supérieure
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National Institute of Building and Public Works (Kinshasa Kinshasa, République démocratique du Congo (ville ou établissement reconnu, pays non nommé)Structure de recherche
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Higher Institute of Statistics (Kinshasa Higher Institute of Statistics (Kinshasa, République démocratique du Congo (ville ou établissement reconnu, pays non nommé)Structure de recherche
National Research Institute of Rural Engineering (Tunisie), University of Carthage (Tunis, Tunisie) et Institut National Agronomique de Tunisie (Tunisie), avec 2 autres affiliations. Pays d’affiliation : Tunisie, République démocratique du Congo.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.