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Regional groundwater prediction model using automatic parameter calibration SCE method for a coastal plain of Seto Inland Sea

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  • Bin He
  • Keiji Takase
  • Yi Wang

Abstract

Operational groundwater prediction models vary in complexity, but most of them have parameters for which values must be estimated. In the present study, the proposed regional groundwater prediction model was based on a nonlinear water balance model, which is very easy to be used once its parameters were determined. The traditional procedure of the model calibration was done manually using a trial and error process of parameter adjustments. In this case, the goodness-of-fit of the calibrated model is based on a visual judgment by comparing the simulated and the observed data. It requires considerable training or experience and is also typically laborious and time consuming. Thus, this paper proposed an approach, which considered the possibilities of using a nonlinear optimization technique -- the Shuffled Complex Evolution (SCE) method to calibrate the groundwater model. The applicability of this technique was demonstrated with a case study for a coastal plain in Japan. The performance of the groundwater model with SCE method was evaluated by comparing the measured and predicted data. Copyright Springer Science + Business Media B.V. 2007

Suggested Citation

  • Bin He & Keiji Takase & Yi Wang, 2007. "Regional groundwater prediction model using automatic parameter calibration SCE method for a coastal plain of Seto Inland Sea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(6), pages 947-959, June.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:6:p:947-959
    DOI: 10.1007/s11269-006-9066-7
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    References listed on IDEAS

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    1. Molden, D., 1997. "Accounting for water use and productivity," IWMI Books, Reports H021374, International Water Management Institute.
    2. Madan Jha & K. Chikamori & Y. Kamii & Y. Yamasaki, 1999. "Field Investigations for Sustainable Groundwater Utilization in the Konan Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(6), pages 443-470, December.
    3. Molden, David J., 1997. "Accounting for water use and productivity," IWMI Books, International Water Management Institute, number 113623.
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    Citations

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    Cited by:

    1. Jun Guo & Jianzhong Zhou & Qiang Zou & Yi Liu & Lixiang Song, 2013. "A Novel Multi-Objective Shuffled Complex Differential Evolution Algorithm with Application to Hydrological Model Parameter Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2923-2946, June.
    2. Chengcheng Huang & Guoqiang Wang & Xiaogu Zheng & Jingshan Yu & Xinyi Xu, 2015. "Simple Linear Modeling Approach for Linking Hydrological Model Parameters to the Physical Features of a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3265-3289, July.
    3. Jiaqi Zhang & Li He & Hongwei Lu & Jing Li, 2014. "Importance Analysis of Groundwater Remediation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 115-129, January.
    4. Hairong Zhang & Jianzhong Zhou & Lei Ye & Xiaofan Zeng & Yufan Chen, 2015. "Lower Upper Bound Estimation Method Considering Symmetry for Construction of Prediction Intervals in Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5505-5519, December.

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