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Integration of remotely sensed and seismicity data for geo-natural hazard assessment along the Red Sea Coast, Egypt

  • S. I. Geology of Africa
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Abstract

The flooding and seismic activity analysis clearly shows the urgent need for an evaluation planning program to mitigate hazard for the vital areas. The Red Sea coastal area is always exposed to the risk of flash floods and earthquakes; therefore, the management and determination of geo-hazard in these areas are critically important. A risk map was produced for the study area by integrated flash flooding and seismicity data. Several valuable data have been applied to accomplish this work which include ALOS-PALSAR, satellite images, and earthquake data. Seismic hazard assessment was performed using probabilistic earthquake hazard assessment; Results of the iso-acceleration maps and hazard curves for a return period of 475 years showed that the seismic hazard values increase from southern to northern parts. The morphometric parameter interpretations illustrate that 6 sub-basins (40% of total sub-basins) are of high-flooding hazardous, 5 sub-basins of moderate hazard (33.33%), and 4 of low hazard (26.66%). Finally, geo-hazard map results markedly increase from south to north in the study area. So, we recommend that some dams and channels should be constructed in vital sites along and at the end of the channel Wadi to protect it against flood hazards along the Red Sea Coast for long-term sustainable development without problems. These findings can be a potential guide for decision-makers in disaster geo-hazard reduction in this interest coastal area.

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References

  • Abd El Aal A, Kamel M, Al-Homidy A (2019) Using remote sensing and GIS techniques in monitoring and mitigation of geohazards in Najran Region, Saudi Arabia. Geotech Geol Eng 37:3673–3700. https://doi.org/10.1007/s10706-019-00861-w

    Article  Google Scholar 

  • Abdalla F, El Shamy I, Bamousa AO, Mansour A, Mohamed A, Tahoon M (2014) Flash floods and groundwater recharge potentials in arid land alluvial basins, southern Red Sea coast, Egypt. Int J Geosci 5(09):971–982

    Google Scholar 

  • Abdelkareem M (2017) Targeting flash flood potential areas using remotely sensed data and GIS techniques. Nat Hazards J 85(1):19–37

    Google Scholar 

  • Arnous MO, El-Rayes AE, Helmy AM (2017) Land-use/land-cover change: a key to understanding land degradation and relating environmental impacts in northwestern Sinai, Egypt. Environ Earth Sci 76:263. https://doi.org/10.1007/s12665-017-6571-3

    Article  Google Scholar 

  • Arnous MO, Green DR (2015) Monitoring and assessing water-logged and salt-affected areas in the eastern Nile Delta region, Egypt, using remotely sensed multi-temporal data and GIS. J Coast Conserv 19(3):369–391. https://doi.org/10.1007/s11852-015-0397-5

    Article  Google Scholar 

  • Asode AN, Sreenivasa A, Lakkundi TK (2016) Quantitative morphometric analysis in the hard rock Hirehalla sub-basin, Bellary and Davanagere Districts, Karnataka, India using RS and GIS. Arab J Geosci 9(5):381

    Google Scholar 

  • Azab, M.A., 2009. Flood hazard between Marsa Alam - Ras Banas, Red Sea, Egypt. Fourth Environmental Conference, Faculty of Science, Zigzag University, pp.17-35.

  • Azmeri A, Isa AH (2018) An analysis of physical vulnerability to flash floods in the small mountainous watershed of Aceh Besar Regency, Aceh province, Indonesia, Jàmbá. J Disaster Risk Stud 10(1):a550. https://doi.org/10.4102/jamba.v10i1.550

    Article  Google Scholar 

  • Bajabaa S, Masoud M, Al-Amri N (2014) Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia). Arab J Geosci 7:2469–2481

    Google Scholar 

  • Barredo JI (2007) Major flood disasters in Europe: 1950–2005. Nat Hazards 42:125–148

    Google Scholar 

  • Cao C, Xu P, Wang Y, Chen J, Zheng L, Niu C (2016) Flash flood hazard susceptibility mapping using frequency ratio and statistical index methods in coalmine subsidence areas. Sustainability 8:948

    Google Scholar 

  • Chorley RJ, Donald Malm EG, Pogorzelski HA (1957) A new standard for estimating drainage basin shape. Am J Sci 255:138–141

    Google Scholar 

  • Conoco, 1987. Geologic map of Egypt. Egyptian General Authority for Petroleum. Scale (1:500,000), NH 36 SWB.S. sheet.

    Google Scholar 

  • Cornell CA (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 18:1,583–1,606

    Google Scholar 

  • Davis J (1975) Statics and data analysis in geology. Wiley, New York

    Google Scholar 

  • Dewidar KM (2013) Analysis of morphometric parameters using remote-sensing data and GIS techniques in the Wadi El Gemal basin, Red Sea coast, Egypt. Int J Remote SensGIS 2(3):122–129

    Google Scholar 

  • Ebeling, R. M., 1992. Introduction to the computation of response spectrum for earthquake loading. Department of the Army, USA, Technical Report ITL-92-4.

  • El Shamy I (1992) Recent recharge and flash flooding opportunities in the Eastern Desert, Egypt. Ann. Geol Surv Egypt 18:323–334

    Google Scholar 

  • Elnazer AA, Salman SA, Asmoay AS (2017) Flash flood hazard affected Ras Gharib city, Red Sea, Egypt: a proposed flash flood channel. Nat Hazards 89(3):1389–1400. https://doi.org/10.1007/s11069-017-3030-0

    Article  Google Scholar 

  • Elsadek WM, Ibrahim MG, Mahmod WE (2018) Flash flood risk estimation of wadi Qena watershed, Egypt using GIS based morphometric analysis. Appl Environ Res 40(1):41–50

    Google Scholar 

  • Elsadek WM, Ibrahim MG, Elham MW, Kanae S (2019) Developing an overall assessment map 14- for flood hazard on large area watershed using multi-method approach: case study of Wadi Qena watershed, Egypt. Nat Hazards 95:739–767. https://doi.org/10.1007/s11069-018-3517-3

    Article  Google Scholar 

  • Faniran A, (1968) The index of drainage intensity—a provisional new drainage factor.

    Google Scholar 

  • Farahat MS, El moustafa A, Hasan A (2017) Developing flash floods inundation maps using remote sensing data, a case study: Wadi AL-Arish, Sinai, Egypt. Am J Eng Res (AJER) 6:172–181

    Google Scholar 

  • Gardiner V (1990) Drainage basin morphometry. In: Goudie AS (ed) Geomorphological techniques. Unwin Hyman, London, pp 71–81

    Google Scholar 

  • Ghoneim E, Arnell N, Foody G (2002) Characterizing the flash flood hazards potential along the Red Sea coast of Egypt. In: The extremes of the extremes: extraordinary floods, vol 271. IAHS Publ, United Kingdom, pp 211–216

    Google Scholar 

  • Guzzetti F, Stark CP, Salvati P (2005) Evaluation of flood and landslide risk to the population of Italy. Environ Manag 36(1):15–36

    Google Scholar 

  • Hammond R, McCullagh P (1978) Quantitative techniques in geography: an introduction. John Wiley, London

    Google Scholar 

  • Haq M, Akhtar M, Muhammad S, Paras S, Rahmatullah J (2012) Techniques of remote sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan. Egypt J Remote Sens Space Sci 15:135–141. https://doi.org/10.1016/j.ejrs.2012.07.002

    Article  Google Scholar 

  • Horton RE (1932) Drainage basin characteristics. Trans Am Geophys Union 13:350–361

    Google Scholar 

  • Horton RE (1945) Erosional development of streams and their drainage basins, hydrological approach to quantitative morphology. Bull Geophys Soc Am 56:275–370

    Google Scholar 

  • Hussein S, Abdelkareem M, Hussein R, Askalany M (2019) Using remote sensing data for predicting potential areas to flash flood hazards and water resources. Remote Sens Appl Soc Environ 16:100254. https://doi.org/10.1016/j.rsase.2019.100254

    Article  Google Scholar 

  • ICC-IBC- International Building Code (2009) International Code Council, USA. ISC- International Seismological Centre (2011). On-line Bulletin. International Seismological Centre, Thatcham, United Kingdom http://www.isc.ac.uk

    Google Scholar 

  • Kamel M, Youssef M, Hassan M, Bagash F (2016) Utilization of ETM+ Landsat data in geologic mapping of wadi Ghadir-Gabal Zabara area, Central Eastern Desert, Egypt. Egypt J Remote Sens Space Sci 19(2):343–360

    Google Scholar 

  • Kant S, Meshram S, Dohare R, Singh S (2015) Morphometric analysis of Sonar sub-basin using SRTM data and geographical information system (GIS). Afr J Agric Res 10:1401–1406

    Google Scholar 

  • Khalil KI (2007) Chromite mineralization in ultramafic rocks of the Wadi Ghadir area, Eastern Desert, Egypt: mineralogical, microchemical and genetic studies. Neues Jahrbuch für Mineralogie-Abhandlungen. J Mineral Geochem 183(3):283–296

    Google Scholar 

  • Kumar R, Kumar S, Lohani AK, Nema RK, Singh RD (2000) Evaluation of geomorphological characteristics of a catchment using GIS. GIS India 9(3):13–17

    Google Scholar 

  • Marchi L, Borga M, Preciso E, Gaume E (2010) Characterization of selected extreme flash floods in Europe and implications for flood risk management. J Hydrol 394(1–2):118–133. https://doi.org/10.1016/j.jhydrol.2010.07.017

    Article  Google Scholar 

  • Meraj G, Shakil A, Romshoo SA, Yousuf AR, Altaf S, Altaf F (2015) Assessing the influence of watershed characteristics on the flood vulnerability of Jhelum basin in Kashmir Himalaya. Nat Hazards 77:153175. https://doi.org/10.1007/s11069-015-1605-1

    Article  Google Scholar 

  • Merz B, Hall J, Disse M, Schumann A (2010) Fluvial flood risk management in a changing world. Nat Hazards Earth Syst Sci 10:509–527. https://doi.org/10.5194/nhess-10-509-2010

    Article  Google Scholar 

  • Miller VC, (1953) A quantitative geomorphic study of drainage basin characteristics in the Clinch Mountain area, Varginia and Tennessee, Project NR 389042. Tech. Rept. 3. Columbia University, Department of Geology, ONR, Geography Branch, New York

  • Morisawa ME (1958) Measurement of drainage basin outline form. J Geol 66:587–591

    Google Scholar 

  • Ordaz M, Faccioli E, Martinelli F, Aguilar M, Arboleda J, Meletti C, D’Amico V (2014) CRISIS 2014: Program for computing seismic hazard. Institute of Engineering, UNAM, Mexico

    Google Scholar 

  • Ouma, Y.O., Tateishi, R., 2014. Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS. Water, vol. 6, 1515–1545. 10.3390/w6061515. Methodological Overview and Case Study Assessment.

  • Patton PC, Baker VR (1976) Morphometry and floods to small drainage basins subject to diverse hydrographic controls. Water Resour Res 12(5):941–952

    Google Scholar 

  • Patton PC (1988) Drainage basin morphometry and floods. In: Baker VR et al (eds) Flood geomorphology. Wiley, New York, pp 51–65

    Google Scholar 

  • Pradhan B (2010) Flood susceptible mapping and risk area delineation using logistic regression GIS and remote sensing. J Spat Hydrol 9(2)

  • Raslan MF, El-Feky MG (2012) Radioactivity and mineralogy of the altered granites of the Wadi Ghadir shear zone, South Eastern Desert, Egypt. Chin J Geochem 31(1):30–40

    Google Scholar 

  • Rimba AB, Setiawati MD, Sambah AB, Miura F (2017) Physical flood vulnerability mapping applying geospatial techniques in Okazaki City, Aichi Prefecture, Japan. Urban Sci 1:7. https://doi.org/10.3390/urbansci1010007

    Article  Google Scholar 

  • Saad, K.F., El Shamy, I.Z., Sweidan, A.S., 1980. Quantitative analysis of geomorphology and hydrology of Sinai Peninsula, 5th Africa Conference, A.R.E

    Google Scholar 

  • Sawires R, Ibrahim HA, Peláez JA, Fat-Helbary RE, Henares J, Hamdache M (2015b) A new proposed seismic source model for the seismic hazard assessment of Egypt. In: Eighth International Conference on the Geology of Africa, 24-26 November 2015. Egypt, Assiut

    Google Scholar 

  • Sawires, R., Peláez, J.A., Fat-Helbary, R.E., Ibrahim, H.A., García, Hernández, M.T., 2015c. An updated seismic source model for Egypt, Chapter 1, “Earthquake engineering - from engineering seismology to optimal seismic design of engineering structures”, book edited by Abbas Moustafa, ISBN 978-953-51-2039-1, 123

  • Schumm SA (1965) The contribution to hydrology. Transactions, American Geophysical Union 46. https://doi.org/10.1029/TR046i004p00649

  • Strahler AN (1952) Hypsometric analysis of erosional topography. Bull Geol Soc Am 63:1117–1142

    Google Scholar 

  • Strahler AN (1964) Quantitative geomorphology of drainage basins and channel networks. In: Chow VT (ed) Handbook of applied hydrology. McGraw Hill Book Company, New York Section 4II

    Google Scholar 

  • Schumn SA (1956) Evaluation of drainage systems and slopes in badlands at perth Amboy, new jersy. Bull Geol Soc Am 67:597–646

    Google Scholar 

  • Taylor AB, Schwarz ZE (1952) Unit-hydro graph log and peak flow related to basin characteristics. Trans Amer Geophs Union 2:235–246

    Google Scholar 

  • United Nations International Strategy for Disaster Reduction (UNISDR), 2002.

  • Youssef AM, Pradhan B, Gaber AFD, Buchroithner MF (2009) Geomorphological hazard analysis along the Egyptian Red Sea coast between Safaga and Quseir. Nat Hazards Earth Syst Sci 9:751–766

    Google Scholar 

  • Verstappen HT (1983) Applied geomorphology, 1st edn. ITC, Enschede

    Google Scholar 

  • Wen YK (2004) Probabilistic aspects of earthquake engineering in earthquake 125 engineering. In: Bozorgnia Y, Bertero VV (eds) From engineering seismology to performance-based engineering. CRC Press, Boca Raton, Florida

    Google Scholar 

  • Wisler CO, Brater EF (1949) Hydrology, vol 419. John Wiley and Sons Co, New York

    Google Scholar 

  • Zavoiance I (1985) Morphometry of drainage basins (developments in water science), vol 20. Elsevier, New York, pp 1–251

    Google Scholar 

  • Zhao JX, Zhang J, Asano A, Ohno Y, Oouchi T, Takahashi T, Ogawa H, Irikura K, Thio HK, Somerville OG, Fukushima Y, Fukushima Y (2006) Attenuation relations of strong ground motion in Japan using site classification based on predominant period. Bull Seismol Soc Am 96:898–913

    Google Scholar 

  • Zuchiewicz W, (1989) Morphotectonic phenomena in the Polish Flysch Carpathians: a case study of the eastern Beskid Niski Mountains. Quaestiones Geographicae, Spec. Issue 2. Adam Mickiewicz Univ. Press, Poznan, pp 155–167

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  1. GeologyDepartment. Faculty of Science, Al-Azhar University (Assiut), Assiut, Egypt

    Mostafa Kamel & Mohamed Arfa

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  1. Mostafa Kamel
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  2. Mohamed Arfa
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Correspondence to Mohamed Arfa.

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This article is part of the Topical Collection on New Advances and Research Results on the Geology of Africa

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Kamel, M., Arfa, M. Integration of remotely sensed and seismicity data for geo-natural hazard assessment along the Red Sea Coast, Egypt. Arab J Geosci 13, 1195 (2020). https://doi.org/10.1007/s12517-020-06173-1

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