An Inverse Modeling Approach to Calibrate Parameters for a Drainage Model with Two Optimization Algorithms on Homogeneous/Heterogeneous Soil

  • Amir Sedaghatdoost
  • Hamed EbrahimianEmail author
  • Abdolmajid Liaghat


Due to the time and spatial limitations of subsurface drainage pilots, simulation models have been extensively applied for evaluating these systems. Since the accuracy of simulation models depends enormously on the accuracy of model parameters, this study aims to develop an inverse modeling approach for estimating most influential soil hydraulic and solute transport parameters in a subsurface drainage system in an arid and semi-arid region. The SWAP model in conjunction with a genetic algorithm and PEST optimization tool was used to find optimum parameters by minimizing the differences between observed and simulated values of drainage discharge, watertable depth, and drainage salinity. Results revealed that the best simulation of drainage outputs was obtained by parameters which were estimated minimizing an objective function that included all three datasets via a genetic algorithm. Although assuming the soil as a homogeneous and heterogeneous medium had quite similar results from objective functions with one or two datasets, homogeneous assumption worked better in the objective function with three datasets. The inverse modelling approach with GA resulted in a better performance as compared to the PEST optimization tool, particularly in objective functions with two or three datasets.


Indirect methods Soil properties Simulation Drainage Khuzestan 


Compliance with Ethical Standards

Conflict of Interest Statement



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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Amir Sedaghatdoost
    • 1
  • Hamed Ebrahimian
    • 2
    Email author
  • Abdolmajid Liaghat
    • 3
  1. 1.Department of Biological and Agricultural EngineeringTexas A&M UniversityCollege StationUSA
  2. 2.Department of Irrigation and Reclamation Engineering, College of Agriculture and Natural ResourcesUniversity of TehranKarajIran
  3. 3.Department of Irrigation and Reclamation Engineering, College of Agriculture and Natural ResourcesUniversity of TehranTehranIran

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