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Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
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| Published in: | Proceedings of the International Association of Hydrological Sciences |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868552917383905282 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Proceedings of the International Association of Hydrological Sciences |
| description | |
| discipline_display | Hydrology |
| discipline_facet | Hydrology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:68182 |
| institution | FRELIP |
| journal_source_facet | Proceedings of the International Association of Hydrological Sciences |
| last_indexed | 2026-06-20T21:28:40.759Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) Hydrology General Hydrology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Hydrology General Hydrology |
| subject_facet | Hydrology General Hydrology |
| title | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) |
| title_alt | Modelado híbrido basado en residuos que combina GR4J y aprendizaje automático para la predicción de caudales en cuencas con escasez de datos: caso de la cuenca del Ouémé en Bonou (Benín, África Occidental) Modélisation hybride basée sur les résidus combinant GR4J et apprentissage automatique pour la prévision des débits dans un bassin versant à données limitées : cas du bassin de l'Ouémé à Bonou (Bénin, Afrique de l'Ouest) Modelagem híbrida baseada em resíduos combinando GR4J e aprendizado de máquina para previsão de vazão em bacia com dados escassos: caso da bacia do Ouémé em Bonou (Benim, África Ocidental) |
| title_auth | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) |
| title_es_txt | Modelado híbrido basado en residuos que combina GR4J y aprendizaje automático para la predicción de caudales en cuencas con escasez de datos: caso de la cuenca del Ouémé en Bonou (Benín, África Occidental) |
| title_fr_txt | Modélisation hybride basée sur les résidus combinant GR4J et apprentissage automatique pour la prévision des débits dans un bassin versant à données limitées : cas du bassin de l'Ouémé à Bonou (Bénin, Afrique de l'Ouest) |
| title_full | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) |
| title_fullStr | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) |
| title_full_unstemmed | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) |
| title_pt_txt | Modelagem híbrida baseada em resíduos combinando GR4J e aprendizado de máquina para previsão de vazão em bacia com dados escassos: caso da bacia do Ouémé em Bonou (Benim, África Ocidental) |
| title_short | Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) |
| title_sort | residual-based hybrid modeling combining gr4j and machine learning for streamflow prediction in data-scarce catchment: case of the ouémé catchment at bonou (benin, west africa) |
| topic | Hydrology General Hydrology |
| url | https://doi.org/10.5194/piahs-389-9-2026 |