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| Titre : |
Assessing Climate Change Adaptation in Culvert Design : A Case Study of AlUla Oasis Preservation and Flood Mitigation in Saudi Arabia
|
| Auteur(s) : |
Zineb El Alaoui El Mdaghri, Auteur (et co-auteur)
David Dorchies, Tuteur Abdelkarim El Archi, Responsable de stage Agroparistech (Montpellier; FRA), Etablissement de soutenance Université de Montpellier (Montpellier; FRA), Etablissement de cotutelle Institut Agro Montpellier (Montpellier; FRA), Etablissement de cotutelle |
| Type de document : | Mémoire |
| Filière : | M. : EA -- Eau et agriculture |
| Sujets : | Changements climatiques ; Transports ferroviaires ; Inondations Arabie Saoudite |
| Résumé : |
Amid global concerns over climate change, this study focuses on enhancing infrastructure resilience to the intensifying precipitation and flash flood risks. It assesses the susceptibility of AlUla in Saudi Arabia, explicitly emphasizing the AlUla railway project while accentuating its natural and cultural Oasis conservation. By analyzing shifting precipitation patterns, this research utilizes the Copernicus Climate Data Store (CDS) and Coupled Model Intercomparison Project Phase 5 (CMIP5) dataset for the timeframes 2035-2064 and 2070-2099 under Representative Concentration Pathway 4.5 (RCP4.5) and RCP8.5 scenarios. The climate data computations were executed using the R programming language, followed by applying the Rational and Soil Conservation Service (SCS) methods, with the SCS [...] Amid global concerns over climate change, this study focuses on enhancing infrastructure resilience to the intensifying precipitation and flash flood risks. It assesses the susceptibility of AlUla in Saudi Arabia, explicitly emphasizing the AlUla railway project while accentuating its natural and cultural Oasis conservation. By analyzing shifting precipitation patterns, this research utilizes the Copernicus Climate Data Store (CDS) and Coupled Model Intercomparison Project Phase 5 (CMIP5) dataset for the timeframes 2035-2064 and 2070-2099 under Representative Concentration Pathway 4.5 (RCP4.5) and RCP8.5 scenarios. The climate data computations were executed using the R programming language, followed by applying the Rational and Soil Conservation Service (SCS) methods, with the SCS method being utilized within Hydrologic Engineering Center's-Hydrologic Modeling System (HEC-HMS) software to yield the peak flow response. The analysis incorporates diverse Global Climate Models (GCMs) and adopts a cautious approach, assuming a 20% change in precipitation. This accounts for a 20% to 28% increase in peak flow. The insights gained from the study provide valuable information to guide the design of climate-resilient infrastructure, highlighting the importance of adapting culvert systems and advocating comprehensive economic evaluations. |
| Date de publication : | 2023 |
| Format : | 1 pdf (81 p.) |
| Note(s) : |
Stage de fin d'étude du master "Sciences de l'eau" parcours Eau et Agriculture
|
| Langue(s) : | Anglais ; Français |
| Organisme d'accueil : | Systra |
| Lien vers la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=223241 |
Exemplaires (1)
| Localisation | Emplacement | Pôle | Section | Cote | Support | Disponibilité |
|---|---|---|---|---|---|---|
| Montpellier | Serveur | Eau et Agriculture | MEM-M2-2023-ELAL-E | Numérique | Confidentiel Exclu du prêt |