IDEAS home Printed from https://ideas.repec.org/a/caa/jnlswr/v9y2014i1id33-2012-swr.html
   My bibliography  Save this article

Regional analysis using the Geomorphologic Instantaneous Unit Hydrograph (GIUH) method

Author

Listed:
  • Mohammad Reza KHALEGHI

    (Department of Range and Watershed Management, Teheran Science and Research Branch, Islamic Azad University, Tehran, Iran)

  • Jamal GHODUSI

    (Department of Range and Watershed Management, Teheran Science and Research Branch, Islamic Azad University, Tehran, Iran)

  • Hassan AHMADI

    (Department of Range and Watershed Management, Teheran Science and Research Branch, Islamic Azad University, Tehran, Iran)

Abstract

The construction of design flood hydrographs for ungauged drainage areas has traditionally been approached by regionalization, i.e. the transfer of information from the gauged to the ungauged catchments in a region. Such approaches invariably depend upon the use of multiple linear regression analysis to relate unit hydrograph parameters to catchment characteristics and generalized rainfall statistics. In the present study, Geomorphologic Instaneous Unit Hydrograph (GIUH) was applied to simulate the rainfall-runoff process and also to determine the shape and dimensions of outlet runoff hydrographs in a 37.1 km2 area in the Ammameh catchment, located at northern Iran. The first twenty-one equivalent rainfall-runoff events were selected, and a hydrograph of outlet runoff was calculated for each event. An intercomparison was made for the three applied approaches in order to propose a suitable model approach that is the overall objective of this study. Hence, the time to peak and peak flow of outlet runoff in the models were then compared, and the model that most efficiently estimated hydrograph of outlet flow for similar regions was determined. Statistical analyses of the models demonstrated that the GIUH model had the smallest main relative and square error. The results obtained from the study confirmed the high efficiency of the GIUH and its ability to increase simulation accuracy for runoff and hydrographs. The modified GIUH approach as described is therefore recommended for further investigation and intercomparison with regression-based regionalization methods.

Suggested Citation

  • 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.
  • Handle: RePEc:caa:jnlswr:v:9:y:2014:i:1:id:33-2012-swr
    DOI: 10.17221/33/2012-SWR
    as

    Download full text from publisher

    File URL: http://swr.agriculturejournals.cz/doi/10.17221/33/2012-SWR.html
    Download Restriction: free of charge

    File URL: http://swr.agriculturejournals.cz/doi/10.17221/33/2012-SWR.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/33/2012-SWR?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. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    2. 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.
    3. S. Jain & R. Singh & S. Seth, 2000. "Design Flood Estimation Using GIS Supported GIUHApproach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 14(5), pages 369-376, 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. 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.

    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. 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.
    3. 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.
    4. Andre Zerger & Stephen Wealands, 2004. "Beyond Modelling: Linking Models with GIS for Flood Risk Management," 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. 33(2), pages 191-208, October.
    5. Liu, Yao & Chen, Weimin & Zhang, Xinshu & Dong, Guoxiang & Jiang, Jinhui, 2023. "Wave energy conversion using heaving oscillator inside ship: Conceptual design, mathematical model and parametric study," Renewable Energy, Elsevier, vol. 219(P2).
    6. 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.
    7. Makam, Vaishno Devi & Millossovich, Pietro & Tsanakas, Andreas, 2021. "Sensitivity analysis with χ2-divergences," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 372-383.
    8. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.
    9. A. N. Swart & F. van Leusden & M. J. Nauta, 2016. "A QMRA Model for Salmonella in Pork Products During Preparation and Consumption," Risk Analysis, John Wiley & Sons, vol. 36(3), pages 516-530, March.
    10. Fouladvand, Javanshir & Aranguren Rojas, Maria & Hoppe, Thomas & Ghorbani, Amineh, 2022. "Simulating thermal energy community formation: Institutional enablers outplaying technological choice," Applied Energy, Elsevier, vol. 306(PA).
    11. Wenlin Yuan & Meiqi Liu & Fang Wan, 2019. "Study on the impact of rainfall pattern in small watersheds on rainfall warning index of flash flood event," 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. 97(2), pages 665-682, June.
    12. Marco Aurélio de Oliveira & Antonio Schalata Pacheco & André Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch, 2023. "Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 61-87, January.
    13. Elaine O Nsoesie & Richard J Beckman & Madhav V Marathe, 2012. "Sensitivity Analysis of an Individual-Based Model for Simulation of Influenza Epidemics," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-16, October.
    14. Chang-Shian Chen & Frederick Chou & Boris Chen, 2010. "Spatial Information-Based Back-Propagation Neural Network Modeling for Outflow Estimation of Ungauged Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4175-4197, November.
    15. Agee, Philip & Nikdel, Leila & McCoy, Andrew & Kianpour rad, Simin & Gao, Xinghua, 2024. "Manufactured housing: Energy burden outcomes from measured and simulated building performance data," Energy Policy, Elsevier, vol. 186(C).
    16. Emanuele Borgonovo, 2006. "Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches," Risk Analysis, John Wiley & Sons, vol. 26(5), pages 1349-1361, October.
    17. C. L. Smith & E. Borgonovo, 2007. "Decision Making During Nuclear Power Plant Incidents—A New Approach to the Evaluation of Precursor Events," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 1027-1042, August.
    18. Jose Luiz F. Barbosa & Antonio P. Coimbra & Dan Simon & Wesley P. Calixto, 2022. "Optimization Process Applied in the Thermal and Luminous Design of High Power LED Luminaires," Energies, MDPI, vol. 15(20), pages 1-28, October.
    19. Jonas Hülsmann & Julia Barbosa & Florian Steinke, 2023. "Local Interpretable Explanations of Energy System Designs," Energies, MDPI, vol. 16(5), pages 1-17, February.
    20. Emanuele Borgonovo & Gordon B. Hazen & Elmar Plischke, 2016. "A Common Rationale for Global Sensitivity Measures and Their Estimation," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1871-1895, 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:caa:jnlswr:v:9:y:2014:i:1:id:33-2012-swr. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.