IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v29y2015i9p3419-3440.html
   My bibliography  Save this article

A Re-Parameterized and Improved Nonlinear Muskingum Model for Flood Routing

Author

Listed:
  • Omid Bozorg Haddad
  • Farzan Hamedi
  • Hosein Orouji
  • Maryam Pazoki
  • Hugo Loáiciga

Abstract

The nonlinear form of the Muskingum model has been widely applied to river flood routing. There are four variants of the nonlinear Muskingum model based on alternative formulations of the nonlinear storage equation. This paper proposes a new Muskingum model with an improved, seven-parameter, nonlinear storage equation. The proposed model provides more degrees of freedom in fitting observed hydraulic data than other nonlinear Muskingum models. The proper estimation of the proposed Muskingum nonlinear model’s parameters is essential to achieve accurate flood-routing predictions. This paper introduces a hybrid method for the estimation of Muskingum parameters. The parameter-estimation method combines the shuffled frog leaping algorithm (SFLA) and the Nelder-Mead simplex (NMS). The proposed Muskingum model and parameter estimation method were applied to the routing of several hydrographs. Our results indicate improved performance of the methodology described in this work when compared with those of other Muskingum models. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Omid Bozorg Haddad & Farzan Hamedi & Hosein Orouji & Maryam Pazoki & Hugo Loáiciga, 2015. "A Re-Parameterized and Improved Nonlinear Muskingum Model for Flood Routing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3419-3440, July.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:9:p:3419-3440
    DOI: 10.1007/s11269-015-1008-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-015-1008-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-015-1008-9?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. E. Fallah-Mehdipour & O. Bozorg Haddad & M. Mariño, 2012. "Real-Time Operation of Reservoir System by Genetic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4091-4103, November.
    2. Moradi-Jalal, Mahdi & Bozorg Haddad, Omid & Karney, Bryan W. & Marino, Miguel A., 2007. "Reservoir operation in assigning optimal multi-crop irrigation areas," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 149-159, May.
    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. Xiaohui Yuan & Xiaotao Wu & Hao Tian & Yanbin Yuan & Rana Muhammad Adnan, 2016. "Parameter Identification of Nonlinear Muskingum Model with Backtracking Search Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2767-2783, June.
    2. Wen-chuan Wang & Wei-can Tian & Dong-mei Xu & Kwok-wing Chau & Qiang Ma & Chang-jun Liu, 2023. "Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3129-3150, June.
    3. Iman Ahmadianfar & Bijay Halder & Salim Heddam & Leonardo Goliatt & Mou Leong Tan & Zulfaqar Sa’adi & Zainab Al-Khafaji & Raad Z. Homod & Tarik A. Rashid & Zaher Mundher Yaseen, 2023. "An Enhanced Multioperator Runge–Kutta Algorithm for Optimizing Complex Water Engineering Problems," Sustainability, MDPI, vol. 15(3), pages 1-28, January.
    4. Jalal Bazargan & Hadi Norouzi, 2018. "Investigation the Effect of Using Variable Values for the Parameters of the Linear Muskingum Method Using the Particle Swarm Algorithm (PSO)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4763-4777, November.

    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. Ramtin Moeini & Kamran Nasiri & Seyed Hossein Hosseini, 2024. "Predicting the Water Inflow Into the Dam Reservoir Using the Hybrid Intelligent GP-ANN- NSGA-II Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(11), pages 4137-4159, September.
    2. Issam Nouiri & Muluneh Yitayew & Jobst Maßmann & Jamila Tarhouni, 2015. "Multi-objective Optimization Tool for Integrated Groundwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5353-5375, November.
    3. T. Fowe & I. Nouiri & B. Ibrahim & H. Karambiri & J. Paturel, 2015. "OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3841-3861, August.
    4. Mohammad Ehteram & Hojat Karami & Saeed Farzin, 2018. "Reducing Irrigation Deficiencies Based Optimizing Model for Multi-Reservoir Systems Utilizing Spider Monkey Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2315-2334, May.
    5. Chih-Chiang Wei & Nien-Sheng Hsu & Chien-Lin Huang, 2014. "Two-Stage Pumping Control Model for Flood Mitigation in Inundated Urban Drainage Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 425-444, January.
    6. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Hugo A. Loáiciga, 2017. "Optimized cropping patterns under climate-change conditions," Climatic Change, Springer, vol. 143(3), pages 429-443, August.
    7. Ali Danandeh Mehr & Vahid Nourani, 2018. "Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2665-2679, June.
    8. Juárez-Torres, Miriam & Sánchez-Aragón, Leonardo & Vedenov, Dmitry, 2017. "Weather Derivatives and Water Management in Developing Countries: An Application for an Irrigation District in Central Mexico," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
    9. M. Ahmadi & Omid Bozorg Haddad & M. Mariño, 2014. "Extraction of Flexible Multi-Objective Real-Time Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 131-147, January.
    10. Wenhua Wan & Jianshi Zhao & Jiabiao Wang, 2019. "Revisiting Water Supply Rule Curves with Hedging Theory for Climate Change Adaptation," Sustainability, MDPI, vol. 11(7), pages 1-21, March.
    11. Mahsa Jahandideh-Tehrani & Omid Bozorg Haddad & Hugo Loáiciga, 2015. "Hydropower Reservoir Management Under Climate Change: The Karoon Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 749-770, February.
    12. Singh, Ajay & Panda, Sudhindra Nath, 2012. "Development and application of an optimization model for the maximization of net agricultural return," Agricultural Water Management, Elsevier, vol. 115(C), pages 267-275.
    13. Li Chuangang & Ji Changming & Wang Boquan & Liu Minghao & Li Rongbo, 2017. "The Hydropower Station Output Function and its Application in Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 159-172, January.
    14. E. Fallah-Mehdipour & O. Bozorg Haddad & H. Orouji & M. Mariño, 2013. "Application of Genetic Programming in Stage Hydrograph Routing of Open Channels," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3261-3272, July.
    15. Pinhati, Filipe Sampaio Casulari & Rodrigues, Lineu Neiva & Aires de Souza, Saulo, 2020. "Modelling the impact of on-farm reservoirs on dry season water availability in an agricultural catchment area of the Brazilian savannah," Agricultural Water Management, Elsevier, vol. 241(C).
    16. Mohammad Solgi & Omid Bozorg-Haddad & Hugo A. Loáiciga, 2017. "The Enhanced Honey-Bee Mating Optimization Algorithm for Water Resources Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 885-901, February.
    17. Ali Zarei & Sayed-Farhad Mousavi & Madjid Eshaghi Gordji & Hojat Karami, 2019. "Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3071-3093, July.
    18. Rapeepat Techarungruengsakul & Anongrit Kangrang, 2022. "Application of Harris Hawks Optimization with Reservoir Simulation Model Considering Hedging Rule for Network Reservoir System," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    19. Nam, Won-Ho & Choi, Jin-Yong, 2014. "Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis," Agricultural Water Management, Elsevier, vol. 142(C), pages 115-126.
    20. Ashkan Shokri & Omid Bozorg Haddad & Miguel Mariño, 2013. "Algorithm for Increasing the Speed of Evolutionary Optimization and its Accuracy in Multi-objective Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2231-2249, May.

    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:29:y:2015:i:9:p:3419-3440. 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.