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Flood susceptibility assessment through statistical models and HEC-RAS analysis for sustainable management in Essaouira Province, Morocco

2023Journal article Open access
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dc.contributor.authorKhouz, Abdellah
dc.contributor.authorTrindade, Jorge
dc.contributor.authorSantos, Pedro Pinto
dc.contributor.authorOliveira, Sérgio
dc.contributor.authorEl Bchari, Fatima
dc.contributor.authorBougadir, Blaid
dc.contributor.authorGarcia, Ricardo
dc.contributor.authorReis, Eusébio
dc.contributor.authorJadoud, Mourad
dc.contributor.authorSaouabe, Tarik
dc.contributor.authorRachidi, Said
dc.date.accessioned2024-01-05T12:56:38Z
dc.date.available2024-01-05T12:56:38Z
dc.date.issued2023
dc.description.abstractFloods are natural disasters that often impact communities living in low-lying areas in the northern and central parts of Morocco. In this study, our aim was to create a flood susceptibility map using three methods; the hierarchy process (AHP) frequency ratio model (FR) and the weights of evidence (WoE) model. We extensively examined the area identified by these approaches using a hydraulic analysis software called HEC-RAS (version 6.3.1). Our analysis focused on the Essaouira watersheds in Morocco, where we identified around 197 flood locations. Out of these, we randomly selected 70% for modeling purposes while the remaining 30% were used for validation. Ten factors that influence floods were considered, such as slope, elevation, proximity to rivers, drainage density, stream order, land use patterns, rainfall data, lithology (permeability level) index (TWI), and curvature. We obtained these factors from data sources. Finally, we generated a flood susceptibility map and evaluated its accuracy by calculating the area under the curve (AUC). The validation results confirmed that all three models were robust and effective with an AUC of 90. Moreover, the research uncovered a trend of vulnerability with the most susceptible area being in close proximity to the city of Essaouira along the Oued Ksob. A detailed analysis using HEC-RAS was conducted at this identified location, pinpointing the village of Diabat as highly exposed. These findings hold significance for flood management, empowering decision makers, scholars, and urban planners to make informed choices and implement strategies that can minimize the impact of floods in susceptible regions while minimizing potential damages.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKhouz, A., Trindade, J., Santos, P. P., Oliveira, S. C., El Bchari, F., Bougadir, B., Garcia, R. A. C., Reis, E., Jadoud, M., Saouabe, T., & Rachidi, S. (2023). Flood susceptibility assessment through statistical models and HEC-RAS analysis for sustainable management in Essaouira Province, Morocco. Geosciences 13(12), 382. https://doi.org/10.3390/geosciences13120382pt_PT
dc.identifier.doi10.3390/geosciences13120382pt_PT
dc.identifier.eissn2076-3263
dc.identifier.urihttp://hdl.handle.net/10451/61604
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2076-3263/13/12/382pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFlood susceptibilitypt_PT
dc.subjectAnalytic hierarchy processpt_PT
dc.subjectFrequency ratiopt_PT
dc.subjectWeights of evidencept_PT
dc.subjectHEC-RASpt_PT
dc.subjectEssaouira (Morocco)pt_PT
dc.titleFlood susceptibility assessment through statistical models and HEC-RAS analysis for sustainable management in Essaouira Province, Moroccopt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue12pt_PT
oaire.citation.startPage382pt_PT
oaire.citation.titleGeosciencespt_PT
oaire.citation.volume13pt_PT
person.familyNameTrindade
person.familyNameSantos
person.familyNameOliveira
person.familyNameGarcia
person.familyNameReis
person.givenNameJorge
person.givenNamePedro Pinto
person.givenNameSérgio
person.givenNameR.A.C.
person.givenNameEusébio
person.identifier.ciencia-id1411-A43D-9266
person.identifier.ciencia-id1B10-8CE2-1F13
person.identifier.ciencia-idBC12-77B6-7801
person.identifier.ciencia-id8F1E-24ED-D262
person.identifier.orcid0000-0001-5610-5942
person.identifier.orcid0000-0001-9785-0180
person.identifier.orcid0000-0003-0883-8564
person.identifier.orcid0000-0002-1036-6271
person.identifier.orcid0000-0001-8367-1835
person.identifier.ridM-9060-2013
person.identifier.ridD-7076-2014
person.identifier.ridM-8412-2016
person.identifier.ridJ-8719-2013
person.identifier.ridM-8740-2016
person.identifier.scopus-author-id7003458343
person.identifier.scopus-author-id56499523100
person.identifier.scopus-author-id24779631800
person.identifier.scopus-author-id55454646500
person.identifier.scopus-author-id7103146725
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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