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Toward Improved Calibration of SWAT Using Season-Based Multi-Objective Optimization: a Case Study in the Jinjiang Basin in Southeastern China

Author

Listed:
  • Ying Chen

    (Fujian Normal University
    Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology)

  • Xingwei Chen

    (Fujian Normal University
    Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology)

  • Chong-Yu Xu

    (Wuhan University
    University of Oslo)

  • Mingfeng Zhang

    (Fujian Normal University
    Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology)

  • Meibing Liu

    (Fujian Normal University
    Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology)

  • Lu Gao

    (Fujian Normal University
    Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology)

Abstract

Calibration is an important step in most hydrological modeling processes because it helps produce reasonable results. This study aims to investigate the seasonal sensitivity of streamflow parameters and to evaluate the ability of a season-based multi-objective approach to calibrate the Soil and Water Assessment Tool (SWAT) model. The primary goal was achieved through an integrated approach. A variance-based global sensitivity technique, Sobol’ method, was used to evaluate the seasonal sensitivity of streamflow parameters. For the multi-objective approach, three objective functions were considered: the Nash–Sutcliffe efficiency, Nash–Sutcliffe efficiency of logarithmic transformed discharge, and relative bias. The model performances of the season-based multi-objective approach MOO(II), based on these functions and flow duration curves during wet and dry seasons, were compared to three other methods: SOO(I), a conventional single-objective approach to the entire series; SOO(II), a season-based single-objective approach; and MOO(I), a multi-objective approach for the entire series. The four methods were assessed using the SWAT model to predict daily discharge in the Jinjiang basin in southeastern China. The results showed that sensitivity of model parameters varied between the wet and dry seasons. The seasonal calibration approaches, MOO(II) and SOO(II), showed significantly better simulation performances during the dry season while the multi-objective approaches produced more accurate simulations of different aspects of the hydrograph, including peak and low flows and overall water balance, compared to the single-objective methods. MOO(II) captured the seasonal variation of hydrological processes best, compared to the other methods, and the parameter values it identified demonstrated significant seasonal variations.

Suggested Citation

  • Ying Chen & Xingwei Chen & Chong-Yu Xu & Mingfeng Zhang & Meibing Liu & Lu Gao, 2018. "Toward Improved Calibration of SWAT Using Season-Based Multi-Objective Optimization: a Case Study in the Jinjiang Basin in Southeastern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1193-1207, March.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:4:d:10.1007_s11269-017-1862-8
    DOI: 10.1007/s11269-017-1862-8
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    References listed on IDEAS

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    1. Huan-Feng Duan & Fei Li & Hexiang Yan, 2016. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4635-4648, October.
    2. H. S. Kim, 2016. "Potential Improvement of the Parameter Identifiability in Ungauged Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3207-3228, July.
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    Cited by:

    1. Alberto Martínez-Salvador & Carmelo Conesa-García, 2020. "Suitability of the SWAT Model for Simulating Water Discharge and Sediment Load in a Karst Watershed of the Semiarid Mediterranean Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 785-802, January.
    2. Akshay Kadu & Basudev Biswal, 2022. "A Model Combination Approach for Improving Streamflow Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5945-5959, December.

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