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Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran

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  • Abbas Afshar
  • Hamideh Kazemi
  • Motahareh Saadatpour

Abstract

An automatic calibration of water quality model is developed in this research. Automatic calibration as the process to determine the parameters appearing in the equations of a 2-dimensional, hydrodynamic, and water quality models (CE-QUAL-W2) is carried out with Particle Swarm technique as an optimization tool. In the calibration of the CE-QUAl-W2 model, evaporation as a significant parameter influences the thermal profile and water surface elevation in reservoir, simultaneously. Therefore to consider the simultaneous effects of the water temperature variations on water surface elevation in the reservoir, a multi objective technique is used to minimize the weighted sum of total deviations of temperature from field data at check points on monitoring days and those of water surface elevation on daily monitoring period. The proposed approach overcomes the high computational efforts required if a conventional calibration search technique was used, while retaining the quality of the final calibration results. The automatic calibration approach is applied in temperature and water budget calibration of Karkheh reservoir in Iran. Applying the proposed automatic calibration approach, shows the produced results by the CE-QUAL-W2 model with the calibrated coefficients agree closely with a set of field data. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Abbas Afshar & Hamideh Kazemi & Motahareh Saadatpour, 2011. "Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2613-2632, August.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:10:p:2613-2632
    DOI: 10.1007/s11269-011-9829-7
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    1. Sara Nazif & Mohammad Karamouz & Massoud Tabesh & Ali Moridi, 2010. "Pressure Management Model for Urban Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 437-458, February.
    2. M. Shourian & S. Mousavi & A. Tahershamsi, 2008. "Basin-wide Water Resources Planning by Integrating PSO Algorithm and MODSIM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1347-1366, October.
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    1. Čerepnalkoski, Darko & Taškova, Katerina & Todorovski, Ljupčo & Atanasova, Nataša & Džeroski, Sašo, 2012. "The influence of parameter fitting methods on model structure selection in automated modeling of aquatic ecosystems," Ecological Modelling, Elsevier, vol. 245(C), pages 136-165.
    2. Tashkova, Katerina & Šilc, Jurij & Atanasova, Nataša & Džeroski, Sašo, 2012. "Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization," Ecological Modelling, Elsevier, vol. 226(C), pages 36-61.
    3. Abbas Afshar & Nasim Shojaei & Mahdi Sagharjooghifarahani, 2013. "Multiobjective Calibration of Reservoir Water Quality Modeling Using Multiobjective Particle Swarm Optimization (MOPSO)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 1931-1947, May.
    4. Shokoufeh Pourshahabi & Nasser Talebbeydokhti & Gholamreza Rakhshandehroo & Mohammad Reza Nikoo, 2018. "Spatio-Temporal Multi-Criteria Optimization of Reservoir Water Quality Monitoring Network Using Value of Information and Transinformation Entropy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3489-3504, August.
    5. D. Mora-Melia & P. Iglesias-Rey & F. Martinez-Solano & P. Ballesteros-Pérez, 2015. "Efficiency of Evolutionary Algorithms in Water Network Pipe Sizing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4817-4831, October.
    6. Hadi Norouzi & Jalal Bazargan, 2022. "Calculation of Water Depth during Flood in Rivers using Linear Muskingum Method and Particle Swarm Optimization (PSO) Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4343-4361, September.
    7. Gokmen Tayfur, 2017. "Modern Optimization Methods in Water Resources Planning, Engineering and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3205-3233, August.

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