Research article Special Issues

Flood susceptibility evaluation of arid coastal basins along the Northwest Coast of Egypt

  • Published: 06 March 2026
  • Flash floods are among the most critical natural hazards in arid regions, where limited infiltration capacity and intense episodic rainfall generate rapid runoff and severe flooding. Egypt's Northwest Coast, particularly the Sallum-Alexandria corridor, faces growing flood risks under changing climatic conditions, posing challenges to sustainable water and land management. In this study, we present an integrated assessment of flood hazard severity and geomorphological susceptibility across seven major arid coastal basins (>500 km²) using an integrated framework of Geographic Information Systems (GIS), remote sensing (RS), and hydrological and hydraulic modeling. Basin morphometry was derived from SRTM-based DEMs and analyzed through WMS 11.0 to extract 45 parameters describing geometry, drainage, relief, and texture. Rainfall trend analysis (1979-2020) demonstrated a significant increase in precipitation intensity over the last decade, with HYFRAN-PLUS employed to estimate 100-year return periods. Hydrological simulations revealed Basin 2 (Wadi El-Harika) produced the highest peak discharge (800 m3/s), while Basins 6 and 7 generated minimal runoffs. Conversely, hydraulic modeling indicated that Basins 5, 6, and 7 experienced the greatest inundation depths (up to 30 m), highlighting a disconnect between runoff volume and flood severity due to local topographic and drainage conditions. The results emphasized the need for basin-specific analysis and demonstrated that flood hazard severity could not be inferred from runoff magnitude alone. The proposed integrated framework provided a robust physical basis for flood hazard and geomorphological susceptibility assessment in arid coastal basins and offers a foundation for future flood risk or vulnerability analyses through the incorporation of exposure and adaptive capacity indicators.

    Citation: Rasha Hosny, Mohamed M.S Mabrouk, Mohamed A.H Eizeldin. Flood susceptibility evaluation of arid coastal basins along the Northwest Coast of Egypt[J]. AIMS Environmental Science, 2026, 13(1): 179-216. doi: 10.3934/environsci.2026008

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  • Flash floods are among the most critical natural hazards in arid regions, where limited infiltration capacity and intense episodic rainfall generate rapid runoff and severe flooding. Egypt's Northwest Coast, particularly the Sallum-Alexandria corridor, faces growing flood risks under changing climatic conditions, posing challenges to sustainable water and land management. In this study, we present an integrated assessment of flood hazard severity and geomorphological susceptibility across seven major arid coastal basins (>500 km²) using an integrated framework of Geographic Information Systems (GIS), remote sensing (RS), and hydrological and hydraulic modeling. Basin morphometry was derived from SRTM-based DEMs and analyzed through WMS 11.0 to extract 45 parameters describing geometry, drainage, relief, and texture. Rainfall trend analysis (1979-2020) demonstrated a significant increase in precipitation intensity over the last decade, with HYFRAN-PLUS employed to estimate 100-year return periods. Hydrological simulations revealed Basin 2 (Wadi El-Harika) produced the highest peak discharge (800 m3/s), while Basins 6 and 7 generated minimal runoffs. Conversely, hydraulic modeling indicated that Basins 5, 6, and 7 experienced the greatest inundation depths (up to 30 m), highlighting a disconnect between runoff volume and flood severity due to local topographic and drainage conditions. The results emphasized the need for basin-specific analysis and demonstrated that flood hazard severity could not be inferred from runoff magnitude alone. The proposed integrated framework provided a robust physical basis for flood hazard and geomorphological susceptibility assessment in arid coastal basins and offers a foundation for future flood risk or vulnerability analyses through the incorporation of exposure and adaptive capacity indicators.



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    [1] WMO, 2019. Flash Flood Guidance System (FFGS) World Meteorological Organization (WMO).https://community.wmo.int/en/hydrology-and-water-resources/flash-flood-guidance-system-ffgs-global-coverage
    [2] UNDRR (2025) United Nation Office for Disaster Risk Reduction. Retrieved from: https://www.undrr.org/quick/78571
    [3] .IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland. (P. Arias, M. Bustamante, I. Elgizouli, G. Flato, M. Howden, C. Méndez-Vallejo, J. J. Pereira, R. Pichs-Madruga, S. K. Rose, Y. Saheb, R. Sánchez Rodríguez, D. Ürge-Vorsatz, C. Xiao, N. Yassaa, J. Romero, J. Kim, E. F. Haites, Y. Jung, R. Stavins, … C. Péan, Eds.)https://doi.org/10.59327/IPCC/AR6-9789291691647
    [4] Al Azzam, N., & Al Kuisi, M. (2021) Determination of Flash Floods Hazards and Risks for Irbid Governorates Using Hydrological and Hydraulic Modelling. Jordan J Earth Environ Sci
    [5] Negm AM (2020) Flash Floods in Egypt. Springer International Publishing.https://doi.org/10.1007/978-3-030-29635-3
    [6] Arnous M O, El-Rayes A E, El-Nady H, et al. (2022) Flash flooding hazard assessment, modeling, and management in the coastal zone of Ras Ghareb City, Gulf of Suez, Egypt. J Coast Conserv 26: 77.https://doi.org/10.1007/s11852-022-00916-w doi: 10.1007/s11852-022-00916-w
    [7] Creutin J D, Borga M (2003) Radar hydrology modifies the monitoring of flash-flood hazard. Hydrol Process 17: 1453-1456.https://doi.org/10.1002/hyp.5122 doi: 10.1002/hyp.5122
    [8] Kundzewicz ZW, Jania JA (2007) GEOGRAPHIA POLONICA EXTREME METEOROLOGICAL AND HYDROLOGICAL EVENTS IN POLAND EDITORS 80. www.arspolona.com.pl
    [9] Mazzorana B, Hübl J, Fuchs S (2009) Natural Hazards and Earth System Sciences Improving risk assessment by defining consistent and reliable system scenarios. Hazards Earth Syst Sci 9: 145-159. www.nat-hazards-earth-syst-sci.net/9/145/2009/
    [10] Khan M Y A, ElKashouty M, Subyani A M, et al. (2022) Flash Flood Assessment and Management for Sustainable Development Using Geospatial Technology and WMS Models in Abha City, Aseer Region, Saudi Arabia. Sustainability 14: 10430.https://doi.org/10.3390/su141610430 doi: 10.3390/su141610430
    [11] Mahmood S, Rahman A (2019) Flash flood susceptibility modeling using geo-morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush, Pakistan. Environ Earth Sci 78: 43. https://doi.org/10.1007/s12665-018-8041-y doi: 10.1007/s12665-018-8041-y
    [12] Mahmood S, Rani R (2018) Extent of 2014 Flood Damages in Chenab Basin Upper Indus Plain. Nat Hazards Risk Assess Vulnerability Reduct 2018: 75.https://doi.org/10.5772/intechopen.79687 doi: 10.5772/intechopen.79687
    [13] Hashmi H N, Siddiqui Q T M, Ghumman A R, et al. (2012) A critical analysis of 2010 floods in Pakistan. Afr J Agric Res 7: 1054-1067. https://doi.org/10.5897/ajarx11.036 doi: 10.5897/ajarx11.036
    [14] Santangelo N, Santo A, Di Crescenzo G, et al. (2011) Flood susceptibility assessment in a highly urbanized alluvial fan: The case study of Sala Consilina (southern Italy). Nat Hazards Earth Syst Sci 11: 2765-2780.https://doi.org/10.5194/nhess-11-2765-2011 doi: 10.5194/nhess-11-2765-2011
    [15] Horton RE (1945) Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Bull Geol Soc Am 56: 275-370.
    [16] Strahler A N (1964) Quantitative geomorphology of drainage basins and channel networks. Handbook of Appl Hydrol 1964.
    [17] Strahler A N (1957) Quantitative analysis of basin geomorphology. Trans Am Geophys Union 38: 913-920.
    [18] Sadek M, Li X, Mostafa E, et al. (2020) Low-Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel-1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El-Natrun Region, Egypt. Adv Civil Eng 2020: 1039309.https://doi.org/10.1155/2020/1039309 doi: 10.1155/2020/1039309
    [19] El Osta M M, El Sabri M S, Masoud M H (2016) Estimation of flash flood using surface water model and GIS technique in Wadi El Azariq, East Sinai, Egypt. Nat Hazards Earth Syst Sci Discuss 2016: 1-51.https://doi.org/10.5194/nhess-2016-311 doi: 10.5194/nhess-2016-311
    [20] Shuka K A M, Wang K, Abubakar G A, et al. (2024) Impact of Structural and Non-Structural Measures on the Risk of Flash Floods in Arid and Semi-Arid Regions: A Case Study of the Gash River, Kassala, Eastern Sudan. Sustainability 16: 1752.https://doi.org/10.3390/su16051752 doi: 10.3390/su16051752
    [21] Abdel-Fattah M, Saber M, Kantoush S A, et al. (2017) A hydrological and geomorphometric approach to understanding the generation of wadi flash floods. Water 9: 553.https://doi.org/10.3390/w9070553 doi: 10.3390/w9070553
    [22] Abdelgawad A G, Helal E, Sobeih M F, et al. (2024) Flood hazard mapping using a GIS-based morphometric analysis approach in arid regions, a case study in the Red Sea Region, Egypt. Appl Water Sci 14: 81.https://doi.org/10.1007/s13201-024-02130-5 doi: 10.1007/s13201-024-02130-5
    [23] Ahmed A, Hewa G, Alrajhi A (2021) Flood susceptibility mapping using a geomorphometric approach in South Australian basins. Nat Hazards 106: 629-653.https://doi.org/10.1007/s11069-020-04481-z doi: 10.1007/s11069-020-04481-z
    [24] Alqahtani F, Qaddah A A (2019) GIS digital mapping of flood hazard in Jeddah-Makkah region from morphometric analysis. Arab J Geosci 12: 199.https://doi.org/10.1007/s12517-019-4338-8 doi: 10.1007/s12517-019-4338-8
    [25] Bhat M S, Alam A, Ahmad S, et al. (2019) Flood hazard assessment of upper Jhelum basin using morphometric parameters. Environ Earth Sci 78: 54.https://doi.org/10.1007/s12665-019-8046-1 doi: 10.1007/s12665-019-8046-1
    [26] Gabriel A T, Yusuf M B, Bwadi B E, et al. (2020) Morphometric Analysis and Flash Floods Assessment of River Taraba Basin in Taraba State, Nigeria. Eur Sci J 16: 158-175.https://doi.org/10.19044/esj.2020.v16n20p158 doi: 10.19044/esj.2020.v16n20p158
    [27] Hagos Y G, Andualem T G, Yibeltal M, et al. (2022) Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia. Appl Water Sci 12: 148.https://doi.org/10.1007/s13201-022-01674-8 doi: 10.1007/s13201-022-01674-8
    [28] Adnan M S G, Dewan A, Zannat K E, et al. (2019) The use of basin geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh. Nat Hazards 99: 425-448.https://doi.org/10.1007/s11069-019-03749-3 doi: 10.1007/s11069-019-03749-3
    [29] Sarkar D, Mondal P (2020) Flood vulnerability mapping using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region. Appl Water Sci 10: 17.https://doi.org/10.1007/s13201-019-1102-x doi: 10.1007/s13201-019-1102-x
    [30] Hamedo N, Mohamed Aly M, Khaled Mostafa M, et al. (2021) Flash Flood Management in Arid Region: A Case Study Urban Bani Wasil Village, Sohag Governorate. Eng Res J 169: 130-146.
    [31] Diwate P, Lavhale P, Pande C B, et al. (2025) Evaluating flood dynamics and effects in Nagpur city using remote sensing and Shannon's entropy analysis. Sci Rep 15: 4900.https://doi.org/10.1038/s41598-025-86801-6 doi: 10.1038/s41598-025-86801-6
    [32] Khan M Y A, ElKashouty M, Subyani A M, et al. (2022) Flash Flood Assessment and Management for Sustainable Development Using Geospatial Technology and WMS Models in Abha City, Aseer Region, Saudi Arabia. Sustainability 14: 10430.https://doi.org/10.3390/su141610430 doi: 10.3390/su141610430
    [33] Dong Z, Liu H, Hu H, et al. (2022) Future projection of seasonal drought characteristics using CMIP6 in the Lancang-Mekong River Basin. J Hydrol 610: 127815.https://doi.org/10.1016/j.jhydrol.2022.127815 doi: 10.1016/j.jhydrol.2022.127815
    [34] Harris I, Osborn T J, Jones P, et al. (2020) Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7: 109.https://doi.org/10.1038/s41597-020-0453-3 doi: 10.1038/s41597-020-0453-3
    [35] Mashaly J, Ghoneim E (2018) Flash flood hazard using optical, radar, and stereo-pair derived DEM: Eastern desert, Egypt. Remote Sens 10: 1204.https://doi.org/10.3390/rs10081204 doi: 10.3390/rs10081204
    [36] Abd-Elhamid H F, Fathy I, Zeleňáková M (2018) Flood prediction and mitigation in coastal tourism areas, a case study: Hurghada, Egypt. Nat Hazards 93: 559-576.https://doi.org/10.1007/s11069-018-3316-x doi: 10.1007/s11069-018-3316-x
    [37] Fathy I, Zeleňáková M, Abd-Elhamid H F (2020) Highways protection from flood hazards, a case study: New Tama road, KSA. Nat Hazards 103: 479-496.https://doi.org/10.1007/s11069-020-03996-9 doi: 10.1007/s11069-020-03996-9
    [38] Fathy I, Adel H, Ramadan E M, et al. (2025) Management Of Soil Erosion and Sediment Yield In Semi-Arid Regions, A Case Study Of Wadi Sudr Basin, South Sinai, Egypt. Carpath J Earth Environ Sci 20: 307-322.https://doi.org/10.26471/cjees/2025/020/335 doi: 10.26471/cjees/2025/020/335
    [39] Fathy I, Ahmed A, Abd‐Elhamid H F (2021) Integrated management of surface water and groundwater to mitigate flood risks and water scarcity in arid and semi‐arid regions. J Flood Risk Manag 14: e12720.https://doi.org/10.1111/jfr3.12720 doi: 10.1111/jfr3.12720
    [40] Global Weather Data for SWAT. The National Centers for Environmental Prediction. Retrieved June 12, 2020, from https://globalweather.tamu.edu/
    [41] GIOVANNI-NASA (2025)https://giovanni.gsfc.nasa.gov/giovanni/
    [42] National Oceanic and Atmospheric Administration. (2023, April 14) JetStream Max: Addition Köppen-Geiger Climate Subdivisions.https://www.noaa.gov/jetstream/global/climate-zones/jetstream-max-addition-k-ppen-geiger-climate-subdivisions
    [43] Esri (2020) A new land cover map of the world. Esri 2020 Land Cover Downloader. Retrieved June 27, 2021, from https://livingatlas.arcgis.com/landcover/
    [44] FAO (2017) Digital Soil Map of the World. Food and Agriculture Organization of the United Nations. Retrieved 2020 from http://www.fao.org/soils-portal/
    [45] FAO (2021) AQUASTAT Climate Information Tool (2009-2020). Food and Agriculture Organization of the United Nations. Retrieved from http://www.fao.org/aquastat/
    [46] CGIAR-CSI (2020) SRTM data. CGIAR Consortium for Spatial Information. Retrieved November 18, 2020, from https://srtm.csi.cgiar.org/srtmdata/
    [47] Horton R E (1932) Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Bulletin of the Geological Society of America 63: 275-370.
    [48] Schumm S A (1956) Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. Bulletin of the Geological Society of America 67: 597-646.
    [49] Hack J T (1957) Studies of longitudinal stream profiles in Virginia and Maryland. US Government Printing Office, 1957.
    [50] Chorley R J (1957) A new standard for estimating drainage basin shape. Amer Jour Sci 255: 138-141.
    [51] Strahler A N (1964) Quantitative geomorphology of drainage basin and channel networks. Handbook of applied hydrology, 1964.
    [52] Dinagara Pandi P, Thena T, Nirmal B, et al. (2017) Morphometric analyses of Neyyar River Basin, southern Kerala, India. Geology Ecol Landsc 1: 249-256.
    [53] SMITH K G (1950) STANDARDS FOR GRADING TEXTURE OF EROSIONAL TOPOGRAPHY. Amer J Sci
    [54] Gupta B (1995) Runoff. In: Engineering Hydrology.
    [55] Strahler A N (1952) Hypsometric (Area-Altitude) Analysis Of Erosional Topography. America: Bulletin Of The Geological Society Of America. Geol Soc Am Bull 63: 1117-1142.
    [56] Melton M A (1957) An analysis of the relations among elements of climate, surface properties, and geomorphology. New York: Department of Geology, Columbia University.
    [57] Pareta K, Pareta U (2011) Quantitative morphometric analysis of a watershed of Yamuna basin, India using ASTER (DEM) data and GIS. International journal of Geomatics and Geosciences 2: 248-269.
    [58] Wilford D J, Sakals M E, Innes J L, et al. (2004) Recognition of debris flow, debris flood and flood hazard through basin morphometrics. Springer-Verlag.
    [59] Faniran A (1962) The Index of Drainage Intensity - A Provisional New Drainage Factor. Australia: Aust J Sci
    [60] Lee Rodgers J, Nicewander W A. (1988) Thirteen ways to look at the correlation coefficient. The American Statistician 42: 59-66. https://doi.org/10.1080/00031305.1988.10475524 doi: 10.1080/00031305.1988.10475524
    [61] Davis J C, Sampson R J (1975) Statistics and data analysis in geology. New York: John Wiley & Sons, The University of Kansas.
    [62] Ezz Hesham (2025) UNEXPECTED FLOODING IN MERSA MATRUH, EGYPT INVESTIGATING CAUSES, HYDROLOGICAL ANALYSIS, AND FLOOD RISK ASSESSMENT. 61: 371-399.
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