Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
Floods are the most common and costly disasters worldwide, while spatial flood risk assessment is still challenging due to fewer observations and method limitations. In this study, the flood risk zonation in the Nile districts of the Damietta branch, Egypt, is delineated and assessed by integrating...
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2025
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| author | Zhran M. Ghanem K. Tariq A. Alshehri F. Jin S. Das J. Pande C.B. Pramanik M. Hasher F.F.B. Mousa A. |
| author2 | 57553459500 |
| author_facet | 57553459500 Zhran M. Ghanem K. Tariq A. Alshehri F. Jin S. Das J. Pande C.B. Pramanik M. Hasher F.F.B. Mousa A. |
| author_sort | Zhran M. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Floods are the most common and costly disasters worldwide, while spatial flood risk assessment is still challenging due to fewer observations and method limitations. In this study, the flood risk zonation in the Nile districts of the Damietta branch, Egypt, is delineated and assessed by integrating remote sensing with a geographic information system, and an analytical hierarchy process (AHP). Twelve thematic layers (elevation, slope, normalized difference vegetation index, topographic wetness index, modified normalized difference water index, topographic positioning index, stream power index, modified Fournier index, drainage density, distance to the river, sediment transport index, and lithology) are used for producing flood susceptibility zonation (FSZ) and six parameters (total population, distance to hospital, land use/land cover, population density, road density, and distance to road) are utilized for producing flood vulnerability zonation. Multicollinearity analysis is applied to identify highly correlated independent variables. Sensitivity studies have been used to assess the effectiveness of the AHP model. The results indicate that the high and very high flood risk classes cover 21.40% and 8.26% of the area, respectively. In 14.07%, 27.01%, and 29.26% of the research area, respectively, flood risk zones classified as very low, low, and moderate are found. Finally, FSZ is validated using the receiver operating characteristics curve and area under curve (AUC) analysis. A higher AUC value (0.741) in the validation findings demonstrated the validity of this AHP approach. The results of this study will help planners, hydrologists, and managers of water resources manage areas that are susceptible to flooding and reduce potential harm. ? The Author(s) 2024. |
| format | Article |
| id | my.uniten.dspace-36149 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Springer |
| record_format | dspace |
| spelling | my.uniten.dspace-361492025-03-03T15:41:27Z Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch Zhran M. Ghanem K. Tariq A. Alshehri F. Jin S. Das J. Pande C.B. Pramanik M. Hasher F.F.B. Mousa A. 57553459500 59368803100 57212555041 57224683617 7401822381 57216782359 57193547008 56835325700 59252382600 7102595132 Damietta Egypt Nile [Uganda] Uganda Flood damage Hierarchical systems Highway administration Population statistics Risk analysis Risk assessment Vegetation mapping Analytic hierarchy Analytical Hierarchy Process Area under curve Flood risk assessments Flood risks Multiple criteria decision analysis Multiple criteria decision analyze Remote sensing and GIS ROC Sensitivity analyzes analytical hierarchy process decision analysis flood damage GIS remote sensing risk assessment sediment transport sensitivity analysis vulnerability Sensitivity analysis Floods are the most common and costly disasters worldwide, while spatial flood risk assessment is still challenging due to fewer observations and method limitations. In this study, the flood risk zonation in the Nile districts of the Damietta branch, Egypt, is delineated and assessed by integrating remote sensing with a geographic information system, and an analytical hierarchy process (AHP). Twelve thematic layers (elevation, slope, normalized difference vegetation index, topographic wetness index, modified normalized difference water index, topographic positioning index, stream power index, modified Fournier index, drainage density, distance to the river, sediment transport index, and lithology) are used for producing flood susceptibility zonation (FSZ) and six parameters (total population, distance to hospital, land use/land cover, population density, road density, and distance to road) are utilized for producing flood vulnerability zonation. Multicollinearity analysis is applied to identify highly correlated independent variables. Sensitivity studies have been used to assess the effectiveness of the AHP model. The results indicate that the high and very high flood risk classes cover 21.40% and 8.26% of the area, respectively. In 14.07%, 27.01%, and 29.26% of the research area, respectively, flood risk zones classified as very low, low, and moderate are found. Finally, FSZ is validated using the receiver operating characteristics curve and area under curve (AUC) analysis. A higher AUC value (0.741) in the validation findings demonstrated the validity of this AHP approach. The results of this study will help planners, hydrologists, and managers of water resources manage areas that are susceptible to flooding and reduce potential harm. ? The Author(s) 2024. Final 2025-03-03T07:41:27Z 2025-03-03T07:41:27Z 2024 Article 10.1186/s12302-024-01001-9 2-s2.0-85206497449 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206497449&doi=10.1186%2fs12302-024-01001-9&partnerID=40&md5=faa4dc80c3b94d596caaa4514880c8f3 https://irepository.uniten.edu.my/handle/123456789/36149 36 1 184 All Open Access; Gold Open Access Springer Scopus |
| spellingShingle | Damietta Egypt Nile [Uganda] Uganda Flood damage Hierarchical systems Highway administration Population statistics Risk analysis Risk assessment Vegetation mapping Analytic hierarchy Analytical Hierarchy Process Area under curve Flood risk assessments Flood risks Multiple criteria decision analysis Multiple criteria decision analyze Remote sensing and GIS ROC Sensitivity analyzes analytical hierarchy process decision analysis flood damage GIS remote sensing risk assessment sediment transport sensitivity analysis vulnerability Sensitivity analysis Zhran M. Ghanem K. Tariq A. Alshehri F. Jin S. Das J. Pande C.B. Pramanik M. Hasher F.F.B. Mousa A. Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch |
| title | Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch |
| title_full | Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch |
| title_fullStr | Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch |
| title_full_unstemmed | Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch |
| title_short | Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch |
| title_sort | exploring a gis-based analytic hierarchy process for spatial flood risk assessment in egypt: a case study of the damietta branch |
| topic | Damietta Egypt Nile [Uganda] Uganda Flood damage Hierarchical systems Highway administration Population statistics Risk analysis Risk assessment Vegetation mapping Analytic hierarchy Analytical Hierarchy Process Area under curve Flood risk assessments Flood risks Multiple criteria decision analysis Multiple criteria decision analyze Remote sensing and GIS ROC Sensitivity analyzes analytical hierarchy process decision analysis flood damage GIS remote sensing risk assessment sediment transport sensitivity analysis vulnerability Sensitivity analysis |
| url_provider | http://dspace.uniten.edu.my/ |