IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v20y2006i5p723-747.html
   My bibliography  Save this article

Assessment of Regional Floods Using L-Moments Approach: The Case of The River Nile

Author

Listed:
  • Isameldin Atiem
  • Nilgün Harmancio˘lu

Abstract

In this study, a regional flood frequency analysis has been carried out, using the index flood L-moments approach. Annual maximum stream flood data observed at 14 gauged sites on the Nile River tributaries (Blue Nile, White Nile, and Atbara River) are investigated. The aim of the study is to investigate and derive hydrologically homogeneous region or regions and to identify and establish the regional statistical distribution. To this end, five distribution functions are used, namely: generalized pareto, generalized extreme-value, generalized logistic, generalized normal, and Pearson type-3 distributions. Analyses have shown that 8 sites form a hydrologically homogeneous region, and this region follows a generalized logistic (GLO) distribution. Furthermore, the other remaining two regions (possibly heterogeneous and definitely heterogeneous) are also defined. Regional dimensionless growth curves for the identified three regions are derived. Results are assessed on the basis of relative RMSE% and relative BIAS% through the use of Monte Carlo simulation. Copyright Springer Science+Business Media, Inc. 2006

Suggested Citation

  • Isameldin Atiem & Nilgün Harmancio˘lu, 2006. "Assessment of Regional Floods Using L-Moments Approach: The Case of The River Nile," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 723-747, October.
    • Handle: RePEc:spr:waterr:v:20:y:2006:i:5:p:723-747
    DOI: 10.1007/s11269-005-9004-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-005-9004-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-005-9004-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Reza Zamani & Hossein Tabari & Patrick Willems, 2015. "Extreme streamflow drought in the Karkheh river basin (Iran): probabilistic and regional analyses," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 327-346, March.
    2. A. Agarwal & R. Maheswaran & J Kurths & R. Khosa, 2016. "Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization -a Case Study in the Western United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4399-4413, September.
    3. Neslihan Seckin & Murat Cobaner & Recep Yurtal & Tefaruk Haktanir, 2013. "Comparison of Artificial Neural Network Methods with L-moments for Estimating Flood Flow at Ungauged Sites: the Case of East Mediterranean River Basin, Turkey," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2103-2124, May.
    4. Abhijit Bhuyan & Munindra Borah & Rakesh Kumar, 2010. "Regional Flood Frequency Analysis of North-Bank of the River Brahmaputra by Using LH-Moments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(9), pages 1779-1790, July.
    5. Zamir Hussain & G. Pasha, 2009. "Regional Flood Frequency Analysis of the Seven Sites of Punjab, Pakistan, Using L-Moments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 1917-1933, August.
    6. Saralees Nadarajah & M. Ali, 2008. "Pareto Random Variables for Hydrological Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1381-1393, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:20:y:2006:i:5:p:723-747. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.