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Developing an Efficient Auto-Calibration Algorithm for HEC-HMS Program

Author

Listed:
  • Alireza B. Dariane

    (K.N. Toosi University of Technology)

  • M. M. Javadianzadeh

    (K.N. Toosi University of Technology)

  • L. Douglas James

    (Utah State University)

Abstract

Two auto-calibration methods, namely Nelder-Mead (NM) and Univariate-Gradient (UG) and a manual approach are available for calibrating the HEC-HMS program. However, their being either inefficient or time consuming makes it difficult to work with HEC-HMS especially when using a snowmelt module in a continuous mode. The main objective of this paper is to develop an efficient Genetic Algorithm (GA) based auto-calibration method for HEC-HMS model (HMS-GA) for continuous snowmelt simulation. A general novel procedure is presented in the absence of the HMS source code to link a heuristic algorithm with the HEC program through Jython programming language. The models are developed and evaluated using daily data from basins in Ajichai, northwestern Iran. A comparison of results for a verification period indicates a substantial improvement by applying the HMS-GA over the other available methods. Moreover, it is shown that neither NM nor UG is able to improve the results obtained by either the manual or HMS-GA. Furthermore, the proposed method significantly improves the calibrations of the HMS model found by the three other methods.

Suggested Citation

  • Alireza B. Dariane & M. M. Javadianzadeh & L. Douglas James, 2016. "Developing an Efficient Auto-Calibration Algorithm for HEC-HMS Program," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1923-1937, April.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:6:d:10.1007_s11269-016-1260-7
    DOI: 10.1007/s11269-016-1260-7
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    References listed on IDEAS

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    Cited by:

    1. Minglong Dai & Jianzhong Zhou & Xiang Liao, 2016. "Research on Combination Forecast Mode of Conceptual Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4483-4499, October.
    2. Salwa Ramly & Wardah Tahir & Jazuri Abdullah & Janmaizatulriah Jani & Suzana Ramli & Arnis Asmat, 2020. "Flood Estimation for SMART Control Operation Using Integrated Radar Rainfall Input with the HEC-HMS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3113-3127, August.
    3. Juliana Mendes & Rodrigo Maia, 2016. "Hydrologic Modelling Calibration for Operational Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5671-5685, December.
    4. Muhammad Adnan Shahid & Piero Boccardo & Muhammad Usman & Adriana Albanese & Muhammad Uzair Qamar, 2017. "Predicting Peak Flows in Real Time through Event Based Hydrologic Modeling for a Trans-Boundary River Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 793-810, February.

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