[ Application du modèle de Muskingum pour la prévision des crues de la Medjerda en Tunisie ]
Volume 10, Issue 4, March 2015, Pages 1277–1285
Sahar ABIDI1, Olfa HAJJI2, and Hamadi HABAIEB3
1 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
2 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
3 Institut National de Recherches en Génie Rural, Eaux et Forêts, 1004 Tunis, Tunisia
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study aims to flood forecasting at the three main stations of the Medjerda River, located in the upstream of Sidi Salem dam, Ghardimaou, Jendouba and Bou Salem. 22 floods were selected for flood forecasting by Muskingum model. Time calculation was varied from 2 to 8 hours with a pitch of 2 hours. Two scenarios were tested; forecasting with and without consideration the tributaries. To judge the quality of the forecasting model, three optimization criteria were chosen. This study showed that the results of flood forecasting by Muskingum model were satisfactory and by considering tributaries it were more satisfactory.
Author Keywords: Flood forecasting, Medjerda River, Muskingum, Tributaries.
Volume 10, Issue 4, March 2015, Pages 1277–1285
Sahar ABIDI1, Olfa HAJJI2, and Hamadi HABAIEB3
1 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
2 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
3 Institut National de Recherches en Génie Rural, Eaux et Forêts, 1004 Tunis, Tunisia
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study aims to flood forecasting at the three main stations of the Medjerda River, located in the upstream of Sidi Salem dam, Ghardimaou, Jendouba and Bou Salem. 22 floods were selected for flood forecasting by Muskingum model. Time calculation was varied from 2 to 8 hours with a pitch of 2 hours. Two scenarios were tested; forecasting with and without consideration the tributaries. To judge the quality of the forecasting model, three optimization criteria were chosen. This study showed that the results of flood forecasting by Muskingum model were satisfactory and by considering tributaries it were more satisfactory.
Author Keywords: Flood forecasting, Medjerda River, Muskingum, Tributaries.
Abstract: (french)
Cette étude a pour objectif la prévision des crues aux trois stations principales du cours d'eau de la Medjerda, à l'amont du barrage Sidi Salem: de l'amont à l'aval Ghardimaou, Jendouba et Bou Salem. 22 crues ont été sélectionnées pour faire de la prévision avec le modèle de Muskingum. Le délai de prévision a été varié de 2 heures à 8 heures avec un pas de 2. Deux scénarios ont été testés : avec et sans prise en compte des affluents. Pour juger de la qualité des modèles de prévision, trois critères de comparaison ont été choisis. Cette étude a montré que le modèle de Muskingum a donné des résultats satisfaisants pour la prévision des crues de la Medjerda. Cette satisfaction est d'autant plus fiable que le délai de prévision est faible. De plus, cette étude a dégagée que la prise en compte des affluents améliore les résultats des modèles de prévision en temps réel.
Author Keywords: Inondation, gestion de crise, Rivière de Medjerda, Muskingum, Affluents.
How to Cite this Article
Sahar ABIDI, Olfa HAJJI, and Hamadi HABAIEB, “Flow forecasting by Muskingum model of Medjerda River in Tunisia,” International Journal of Innovation and Applied Studies, vol. 10, no. 4, pp. 1277–1285, March 2015.
