Cited by 74Flood Risk Assessment and ManagementHydrology and Watershed Management StudiesPrecipitation Measurement and Analysis

Flash floods in the Sahara: a case study for the 28 January 2013 flood in Qena, Egypt

Open access
Moawad, Moawad Badawy, Abdel Aziz, Ahmed Omar, Mamtimin, Buhalqem·2016·Geomatics, Natural Hazards and Risk

Abstract

Understanding the torrential rainfall and its consequent surface runoff in the Sahara is a crucial issue for better flood protection and water management plans. This is often hampered by the lack of appropriate in situ measurements. Even now the satellite-derived rainfall suffers from great uncertainty. Thus, we adjusted the data obtained from real-time satellite rainfall coverage (HYDIS) using the in situ observed rainfall (Robs). Hydro-morphological parameters were then integrated with the empirical curve number (CN) approach to estimate the surface runoff in Qena, Egypt during the 28 January 2013 flash flood event. We deduced that the study area received a total precipitation (∑Rcum) of ∼35.6 × 106 [mm] and a total rain volume (∑Rvol) of ∼88.9 × 109 [m3] mainly from wadi Qena (89.8%). The majority of the rainfalls fell at light intensity (<2.5 [mm hr−1]). The estimated total surface runoff (∑Qsur) was 26.5 × 106 mm and the total runoff volume (∑Qvol) was 66.2 × 106 [m3]. The total surface transmission losses (∑Tlos) were calculated as 9.1 × 106 [mm], which represents about 25.6% of the total precipitation (∑Rcum) and creates substantial opportunities for alluvial aquifer recharge. The total surface runoff (∑Qsur) and flood magnitude were generally low, therefore, flood influences were restricted to the destruction of some roads in Qena but no fatalities were involved, nevertheless. Most of the running water was contained by El Sail Canal and poured into the Nile River. It is expected that the applied method in this study will be helpful for our understanding and quantification of flood hydrology and contribute to better risk management plan in the arid and hyper-arid regions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/19475705.2014.885467

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Rare rainfall events in the Thebes region are not derived from the Mediterranean Sea (Thera), but are occasionally generated by the atmospheric Red Sea Trough, extending from the African Monsoon over equatorial Africa northward over the Red Sea region.

    “Rare rainfall events in the Thebes region are not derived from the Mediterranean Sea (Thera), but are occasionally generated by the atmospheric Red Sea Trough, extending from the African Monsoon over equatorial Africa northward over the Red Sea region [195,196].”

    From The Minoan Thera eruption predates Pharaoh Ahmose: Radiocarbon dating of Egyptian 17th to early 18th Dynasty museum objects (2025) · cites this paper as [195]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 17

  1. Chang KT. 2006. Introduction to geographic information systems. 3rd ed. Singapore: McGraw Hill; p. 343.
  2. Chow VT, Maidment DK, Mays LW. 2002. Applied hydrology. New York: McGraw-Hill Book Company; p. 572.
  3. Davie T. 2008. Fundamentals of hydrology. London: Routledge; p. 200.
  4. Gheith HM, Sultan MI. 2001. Assessment of the renewable groundwater resources of Wadi El- Arish, Sinai, Egypt: modelling, remote sensing and GIS applications. Proceedings of a symposium held at Santa Fe; April 2000; New Mexico: IAHS Publ. no. 267.
  5. Hsu L, Sorooshian S. 2009. Satellite-based precipitation measurement using PERSIANN sys- tem. In: Sorooshian S, Hsu L, Coppola E, Tomassetti B, Verdecchia M, Visconti G, editors. Hydrological modelling and the water cycle. New York: Springer; p. 27-48.
  6. Jensen J. 2005. Introductory digital image processing. 3rd ed. Upper Saddle River: Prentice Hall; p. 526.
  7. Khidr MM. 1997. The main geomorphological hazards in Egypt (in Arabic). MSc thesis. Cairo: Department of Geography, Faculty of Arts, Ain Shams University; p. 513.
  8. Laity JE. 2008. Deserts and desert environments. Oxford, UK: Wiley-Blackwell; p. 360.
  9. Moawad BM. 2013. Analysis of the flash flood occurred on 18 January 2010 in wadi El Arish, Egypt (a case study). Geomatics, Nat Hazards Risk. 4(3):254-274.
  10. Nfrag. 2008. Flood risk management in Australia. Aust J Emerg Manag. 23(4):21-27.
  11. Reid I, Frostick LE. 1997. Channel form, flows and sediments in deserts. In: Thomas DSG, editor. Arid zone geomorphology: process, form and change in drylands. New York: John Wiley; p. 205-229.
  12. Sene K. 2013. Flash floods: forecasting and warning. Dordrecht, Germany: Springer; p. 395.
  13. Sorooshian SK, Hsu L, Imam B, Hong Y. 2008. Global precipitation estimation from satellite image using artificial neural networks. In: Wheater H, Sorooshian S, Sharma KD, edi- tors. Hydrological Modelling in Arid and Semi-Arid Areas. Cambridge: Cambridge University Press; p. 21-27.
  14. Strahler AN. 1957. Quantitative analysis of watershed geomorphology. Am Geophys Union Trans. 38:913-920.
  15. Takeuchi K. 2006. ICHARM calls for an alliance for localism to manage the risk of water- related disasters. In: Tchiguirinskaia I, Thein KNN, Hubert P, editors. Frontiers in flood research. the Netherlands: IAHS Press; p. 197-208.
  16. Warner TT. 2004. Desert meteorology. Edinburgh: Cambridge university press; p. 612.
  17. Zahran MA, Willis AJ. 2009. The Vegetation of Egypt. 2nd ed. New York: Springer; p. 237.

Cited by

Sorted by citations

Authors
Moawad, M. B., Abdel Aziz, A. O., & Mamtimin, B.
Affiliations
  • Ain Shams University (EG)
  • Max Planck Institute for Chemistry (DE)
Corresponding author
Moawad, Moawad Badawy
Venue
Geomatics, Natural Hazards and Risk
Published
2014-02-24
Volume
7
Issue
1
Pages
215-236
ISSN
  • 1947-5705 (ISSN-L)
  • 1947-5713
OpenAlex
W2009965878
Cited by
74
References
0
Citations by year
2026: 3 · 2025: 10 · 2024: 4 · 2023: 6 · 2022: 14 · 2021: 10 · 2020: 12 · 2019: 7 · 2018: 3 · 2017: 4 · 2016: 1
FWCI
1.38
Type
journal article
Language
en
Open access
Locations
  • Geomatics Natural Hazards and Risk (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
University of California, Irvine
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
  • Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
Keywords
flash floods, Sahara, Qena, torrential rainfall, surface runoff, flood risk management, arid regions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review