Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco
The mapping and assessment of flood susceptibility is an integral component of flood mitigation and prevention programs, by determining the most vulnerable regions and the associated characteristics that influence the flood susceptibility. Hence, the aim of the present study is to identify flood-pro...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/01/e3sconf_joe32023_02005.pdf |
| _version_ | 1797938466318712832 |
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| author | Khaldi Loubna Elabed Alae El Khanchoufi Abdessalam |
| author_facet | Khaldi Loubna Elabed Alae El Khanchoufi Abdessalam |
| author_sort | Khaldi Loubna |
| collection | DOAJ |
| description | The mapping and assessment of flood susceptibility is an integral component of flood mitigation and prevention programs, by determining the most vulnerable regions and the associated characteristics that influence the flood susceptibility. Hence, the aim of the present study is to identify flood-prone areas in the Fez-Meknes region (Morocco) for the first time using a multicriteria approach, in particular the Analytical Hierarchy Process (AHP) technique and Geographic Information Systems (GIS). A total of fifteen conditioning factors for flooding were selected: distance to rivers, river network density, precipitation, flow accumulation, elevation, slope, plane curvature, TWI, aspect, NDVI, LULC, TRI, geology, soil type, and SPI. All factors were defined as raster data sets with a resolution of 30 x 30 m. The results showed that, the efficiency tests of the flood susceptibility map show a good accuracy using an area under the curve (AUC) by remarkably good number (0.90).in addition, LULC was recognized as the most significant factor, which is followed by the stream power index that affect the flood map. |
| first_indexed | 2024-04-10T19:01:11Z |
| format | Article |
| id | doaj.art-615707af2b894a30bb662bc422308289 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-10T19:01:11Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-615707af2b894a30bb662bc4223082892023-01-31T09:53:21ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013640200510.1051/e3sconf/202336402005e3sconf_joe32023_02005Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in MoroccoKhaldi Loubna0Elabed Alae1El Khanchoufi Abdessalam2Ressources Naturelles, Environnement et Developpement Durable (RNE2D), Faculty of Sciences Dhar ElMahraz, Sidi Mohamed Ben Abdellah UniversityRessources Naturelles, Environnement et Developpement Durable (RNE2D), Faculty of Sciences Dhar ElMahraz, Sidi Mohamed Ben Abdellah UniversityRessources Naturelles, Environnement et Developpement Durable (RNE2D), Faculty of Sciences Dhar ElMahraz, Sidi Mohamed Ben Abdellah UniversityThe mapping and assessment of flood susceptibility is an integral component of flood mitigation and prevention programs, by determining the most vulnerable regions and the associated characteristics that influence the flood susceptibility. Hence, the aim of the present study is to identify flood-prone areas in the Fez-Meknes region (Morocco) for the first time using a multicriteria approach, in particular the Analytical Hierarchy Process (AHP) technique and Geographic Information Systems (GIS). A total of fifteen conditioning factors for flooding were selected: distance to rivers, river network density, precipitation, flow accumulation, elevation, slope, plane curvature, TWI, aspect, NDVI, LULC, TRI, geology, soil type, and SPI. All factors were defined as raster data sets with a resolution of 30 x 30 m. The results showed that, the efficiency tests of the flood susceptibility map show a good accuracy using an area under the curve (AUC) by remarkably good number (0.90).in addition, LULC was recognized as the most significant factor, which is followed by the stream power index that affect the flood map.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/01/e3sconf_joe32023_02005.pdf |
| spellingShingle | Khaldi Loubna Elabed Alae El Khanchoufi Abdessalam Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco E3S Web of Conferences |
| title | Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco |
| title_full | Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco |
| title_fullStr | Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco |
| title_full_unstemmed | Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco |
| title_short | Quantitative assessment of the relative impacts of different factors on flood susceptibility modelling: case study of Fez-Meknes region in Morocco |
| title_sort | quantitative assessment of the relative impacts of different factors on flood susceptibility modelling case study of fez meknes region in morocco |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/01/e3sconf_joe32023_02005.pdf |
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