Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch

被引:11
作者
Zhran, Mohamed [1 ]
Ghanem, Karim [1 ]
Tariq, Aqil [2 ]
Alshehri, Fahad [3 ]
Jin, Shuanggen [4 ,5 ]
Das, Jayanta [6 ]
Pande, Chaitanya Baliram [7 ,8 ]
Pramanik, Malay [9 ]
Hasher, Fahdah Falah Ben [10 ]
Mousa, Ashraf [11 ]
机构
[1] Mansoura Univ, Fac Engn, Publ Works Engn Dept, Mansoura 35516, Egypt
[2] Mississippi State Univ, Coll Forest Resources, Dept Wildlife Fisheries & Aquaculture, Mississippi State, MS 39762 USA
[3] King Saud Univ, Coll Sci, Abdullah Alrushaid Chair Earth Sci Remote Sensing, Geol & Geophys Dept, Riyadh 11451, Saudi Arabia
[4] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China
[5] Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
[6] Rampurhat Coll, Dept Geog, Birbhum 731224, Rampurhat, India
[7] Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, ,Nasiriyah, Thi Qar 64001, Nasiriyah, Iraq
[8] Univ Tenaga Nas, Inst Energy Infrastruct, Kajang 43000, Malaysia
[9] Asian Inst Technol AIT, Dept Dev & Sustainabil, Urban Innovat & Sustainabil, Pathum Thani 12120, Thailand
[10] Princess Nourah Bint Abdulrahman Univ, Coll Humanities & Social Sci, Dept Geog & Environm Sustainabil, POB 84428, Riyadh 11671, Saudi Arabia
[11] Natl Res Inst Astron & Geophys, Geodynam Dept, Helwan 11421, Egypt
关键词
Flood risk assessment; AHP; Sensitivity analysis; Multiple criteria decision analysis (MCDA); Remote sensing and GIS; ROC; AUC; MULTICRITERIA DECISION-MAKING; SUSCEPTIBILITY; DISTRICT; MODELS;
D O I
10.1186/s12302-024-01001-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:25
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