Inverse solution of groundwater models - Indirect approach

Document Type : Original Article

Authors

1 Shahid Beheshti University - Faculty of Civil, Water and Environment

2 Assistant professor, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University

Abstract

The main purpose of this study is developing a framework for the calibration of groundwater models. The automatic calibration with indirect approach has been considered. Inverse problem in groundwater flow modeling is defined as an optimization problem. For solving the nonlinear optimization problem, genetic algorithm has been used. Minimization the root of mean square deviation between observed and the corresponding computed heads in MODFLOW is considered as a calibration and evaluation criterion. Also, the hydraulic conductivity and specific yield (with known zonation) have been considered as the model parameters. Changing some part of MODFLOW-2005 source codes and embedding the genetic algorithm, an optimization program (MF2005GA_P) has been developed in FORTRAN 90. Internal exchange of main variables (e.g. RMSE) in this program obviously decreases execution time comparing to the approach of linking optimization and simulation codes. The program has been developed and primarily is evaluated based on a hypothetical model. Next, Abhar aquifer is selected as a case study and the program performance in a real scale has been investigated. This method results have shown about 40 percent decrease in RMSE compared with trial and error calibration results.

Keywords

Main Subjects

References

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Iran-Water Resources Research
Volume 13, Issue 2
September 2017
Pages 82-98

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History

  • Receive Date: 31 March 2016
  • Revise Date: 01 January 2017
  • Accept Date: 01 January 2017

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