| Titre : |
Remote sensing-based reservoirs characterizing : bathymetry, capacity curves and sedimentation of Ouled-Mellouk dam reservoir |
| Type de document : |
document électronique |
| Auteurs : |
Nour El houda Hasnaoui, Auteur ; Boukhemacha, Mohamed Amine, Directeur de thèse ; Nadjia Rezkallah, Directeur de thèse |
| Editeur : |
[S.l.] : [s.n.] |
| Année de publication : |
2024 |
| Importance : |
1 fichier PDF (3.6 Mo) |
| Note générale : |
Mode d'accès : accès au texte intégral par intranet.
Mémoire de Projet de Fin d’Études : Hydraulique : Alger, École Nationale Polytechnique : 2024
Bibliogr. p. 59-60. - Annexes
Mémoire confidentiel 3 ans jusqu'à Juillet 2027 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Bathymetry
Remote sensing
Dam reservoirs
Capacity curves
Sedimentation |
| Index. décimale : |
PH00124 |
| Résumé : |
Algeria faces several challenges in managing water resources, especially surface water, similar to many other countries with the same climate. This has led it to rely primarily on dams to ensure water security, which contributes to social stability. Therefore, monitoring and ensuring the optimal performance of dams becomes an imperative necessity. For this, remote sensing technology, which has proven effective in providing accurate data, can be used. In this context, this study aims to integrate remote sensing products such as radar images to determine the distinctive characteristics of dams’ reservoirs, such as storage capacity, bottom form, and the volume of sediment deposited. An approach was developed and successfully tested on the Ouled Mellouk dam located in the Aïn Defla Wilaya in northern Algeria. |
Remote sensing-based reservoirs characterizing : bathymetry, capacity curves and sedimentation of Ouled-Mellouk dam reservoir [document électronique] / Nour El houda Hasnaoui, Auteur ; Boukhemacha, Mohamed Amine, Directeur de thèse ; Nadjia Rezkallah, Directeur de thèse . - [S.l.] : [s.n.], 2024 . - 1 fichier PDF (3.6 Mo).
Mode d'accès : accès au texte intégral par intranet.
Mémoire de Projet de Fin d’Études : Hydraulique : Alger, École Nationale Polytechnique : 2024
Bibliogr. p. 59-60. - Annexes
Mémoire confidentiel 3 ans jusqu'à Juillet 2027 Langues : Anglais ( eng)
| Mots-clés : |
Bathymetry
Remote sensing
Dam reservoirs
Capacity curves
Sedimentation |
| Index. décimale : |
PH00124 |
| Résumé : |
Algeria faces several challenges in managing water resources, especially surface water, similar to many other countries with the same climate. This has led it to rely primarily on dams to ensure water security, which contributes to social stability. Therefore, monitoring and ensuring the optimal performance of dams becomes an imperative necessity. For this, remote sensing technology, which has proven effective in providing accurate data, can be used. In this context, this study aims to integrate remote sensing products such as radar images to determine the distinctive characteristics of dams’ reservoirs, such as storage capacity, bottom form, and the volume of sediment deposited. An approach was developed and successfully tested on the Ouled Mellouk dam located in the Aïn Defla Wilaya in northern Algeria. |
|
PH00100 
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