IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v22y2008i4p525-533.html
   My bibliography  Save this article

Genetic Algorithm Based Parameter Estimation of Nash Model

Author

Listed:
  • Si-Hui Dong

Abstract

Unit hydrograph method is usually used to resolve surface runoff concentration process. Empirical unit hydrograph is sometimes jagged and not smooth because of estimation errors. Owing to the randomicity of correction method, there is some localization in its application. The application of instantaneous unit hydrograph is relatively wider. Generally, moment method is used to estimate the parameters of instantaneous unit hydrograph. However, the error is obvious between the observed flood process and the predicted flood process with moment method, especially near the flood peak. The genetic algorithm toolbox of matlab software is used to optimize the parameters of instantaneous unit hydrograph. The statistical function gamcdf(x, α, β) in matlab toolbox is used to calculate S(t) curve, which can avoid the errors caused by approximate formula method. The case study indicates that the weighted sum of absolute error applying the method in this paper is 25, the result applying moment method is 63, and the result of approximate formula method is 49. The results show that the method in this paper is more effectual than the other two methods. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Si-Hui Dong, 2008. "Genetic Algorithm Based Parameter Estimation of Nash Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(4), pages 525-533, April.
    • Handle: RePEc:spr:waterr:v:22:y:2008:i:4:p:525-533
    DOI: 10.1007/s11269-007-9208-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-007-9208-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-007-9208-6?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.

    References listed on IDEAS

    as
    1. Vikrant Jain & R. Sinha, 2003. "Derivation of Unit Hydrograph from GIUH Analysis for a Himalayan River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(5), pages 355-376, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chengcheng Huang & Guoqiang Wang & Xiaogu Zheng & Jingshan Yu & Xinyi Xu, 2015. "Simple Linear Modeling Approach for Linking Hydrological Model Parameters to the Physical Features of a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3265-3289, July.
    2. Samuel Beskow & Lloyd Norton & Carlos Mello, 2013. "Hydrological Prediction in a Tropical Watershed Dominated by Oxisols Using a Distributed Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 341-363, January.
    3. Yousef Hassanzadeh & Amin Abdi & Siamak Talatahari & Vijay Singh, 2011. "Meta-Heuristic Algorithms for Hydrologic Frequency Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(7), pages 1855-1879, May.
    4. Wei Li & Jianzhong Zhou & Huaiwei Sun & Kuaile Feng & Hairong Zhang & Muhammad Tayyab, 2017. "Impact of Distribution Type in Bayes Probability Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 961-977, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samuel Beskow & Lloyd Norton & Carlos Mello, 2013. "Hydrological Prediction in a Tropical Watershed Dominated by Oxisols Using a Distributed Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 341-363, January.
    2. Anzhi Wang & Changjie Jin & Jianmei Liu & Tiefan Pei, 2006. "A Modified Hortonian Overland Flow Model Based on Laboratory Experiments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(2), pages 181-192, April.
    3. Mohammad Reza KHALEGHI & Jamal GHODUSI & Hassan AHMADI, 2014. "Regional analysis using the Geomorphologic Instantaneous Unit Hydrograph (GIUH) method," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 9(1), pages 25-30.
    4. A. Sarangi & C. Madramootoo & P. Enright & S. Prasher, 2007. "Evaluation of three unit hydrograph models to predict the surface runoff from a Canadian watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(7), pages 1127-1143, July.
    5. Mohammad Reza KHALEGHI, 2017. "The influence of deforestation and anthropogenic activities on runoff generation," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(6), pages 245-253.
    6. Emna Ellouze-Gargouri & Zoubeida Bargaoui, 2012. "Runoff Estimation for an Ungauged Catchment Using Geomorphological Instantaneous Unit Hydrograph (GIUH) and Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1615-1638, April.
    7. Esmaeili Hoseen GHOLZOM & Vahid GHOLAMI, 2012. "A comparison between natural forests and reforested lands in terms of runoff generation potential and hydrologic response (case study: Kasilian Watershed)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 7(4), pages 166-173.

    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:22:y:2008:i:4:p:525-533. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.