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Field Application of the Multilinear Muskingum Discharge Routing Method

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  • Bhabagrahi Sahoo

Abstract

To implicitly model the nonlinear dynamics of flood wave propagation in rivers with floodplains, a multilinear discharge-hydrograph routing method based on time distribution scheme is proposed. The framework of this method is based on the variable parameter Muskingum-type routing method, which is used as the linear sub-model. The applicability limit and suitability of this flood routing method is verified using numerical experiments and field data, respectively. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Bhabagrahi Sahoo, 2013. "Field Application of the Multilinear Muskingum Discharge Routing Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1193-1205, March.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:5:p:1193-1205
    DOI: 10.1007/s11269-012-0228-5
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    References listed on IDEAS

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    1. D. Nagesh Kumar & K. Srinivasa Raju & T. Sathish, 2004. "River Flow Forecasting using Recurrent Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(2), pages 143-161, April.
    2. Avinash Agarwal & R. Singh, 2004. "Runoff Modelling Through Back Propagation Artificial Neural Network With Variable Rainfall-Runoff Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(3), pages 285-300, June.
    3. Dooge, James C. I., 1973. "Linear Theory of Hydrologic Systems," Technical Bulletins 160041, United States Department of Agriculture, Economic Research Service.
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    Cited by:

    1. G. Zucco & G. Tayfur & T. Moramarco, 2015. "Reverse Flood Routing in Natural Channels using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4241-4267, September.
    2. Bhabagrahi Sahoo & Muthiah Perumal & Tommaso Moramarco & Silvia Barbetta, 2014. "Rating Curve Development at Ungauged River Sites using Variable Parameter Muskingum Discharge Routing Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3783-3800, September.
    3. Wang Zhang & Pan Liu & Xizhen Chen & Li Wang & Xueshan Ai & Maoyuan Feng & Dedi Liu & Yuanyuan Liu, 2016. "Optimal Operation of Multi-reservoir Systems Considering Time-lags of Flood Routing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 523-540, January.
    4. Wang Zhang & Pan Liu & Xizhen Chen & Li Wang & Xueshan Ai & Maoyuan Feng & Dedi Liu & Yuanyuan Liu, 2016. "Optimal Operation of Multi-reservoir Systems Considering Time-lags of Flood Routing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 523-540, January.

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