Logistic Regression-based Geomorphological Mapping in the Arabian Platform: Implications for the Paleohydrology and the Paleoclimate of the Arabian Desert

  • Racha ElkadiriEmail author
  • Abotalib Z. Abotalib
  • Mohamed Sultan
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


Throughout the Quaternary, the Arabian Peninsula witnessed alternation between dry and wet periods. During the wet periods, annual precipitation significantly increased leading to recharging the fossil aquifers, elevation of the groundwater table and development of drainage systems and waterfalls along the Central Arabian Arch (CAA). Landforms that were left behind these periods provide valuable clues for deciphering the paleohydrology and paleoclimate of the Arabian Desert. Herein we used logistic regression modeling with topographic analysis to delineate theater-headed valleys (THV) along the CAA. These valleys have peculiar morphometry (e.g. theater-like heads, stubby-looking geometry, U-shaped profiles, occurrence along escarpments and propagation along fractures) and are largely attributed to groundwater sapping and/or megaflooding and water fall erosion. The model uses different topographic datasets including stream power index, plan and profile curvatures, stream density and slope gradient. The model results show that THV are abundant along the plateau escarpments and deep fluvially-incised valleys in the CAA. Additional geological, hydrological and field assessments are required to further characterize the origin of THV and examine the respective roles of groundwater processes and surface water activities in shaping the CAA landscape. This paper presents a novel mapping approach of landforms on a regional scale.


Machine learning Mapping Theater-headed valleys Central Arabian arch Groundwater sapping Paleohydrology 


  1. 1.
    Abotalib, A., Sultan, M., Elkadiri, R.: Groundwater processes in Saharan Africa: implications for landscape evolution in arid environments. Earth-Sci. Rev. 156, 108–136 (2016)CrossRefGoogle Scholar
  2. 2.
    Lamb, M.P., Dietrich, W.E., Aciego, S.M., DePaolo, D.J., Manga, M.: Formation of box canyon, idaho, by megaflood: implications for seepage erosion on earth and mars. Science 320, 1067–1070 (2008)CrossRefGoogle Scholar
  3. 3.
    Elkadiri, R., Sultan, M., Youssef, A.M., Elbayoumi, T., Chase, R., Bulkhi, A.B., Al-Katheeri, M.M.: A remote sensing-based approach for debris-flow susceptibility assessment using artificial neural networks and logistic regression modeling. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 7, 4818–4835 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Racha Elkadiri
    • 1
    Email author
  • Abotalib Z. Abotalib
    • 2
    • 3
  • Mohamed Sultan
    • 4
  1. 1.Middle Tennessee State UniversityMurfreesboroUSA
  2. 2.Viterbi School of EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  3. 3.Department of Geological ApplicationsNARSSCairoEgypt
  4. 4.Western Michigan UniversityKalamazooUSA

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