Analysis of the Uncertainty of the Simulation-Optimization Model using the Monte Carlo Markov Chain Algorithm

Document Type : Research Article

Authors

1 Ph. D Student, School of Environment, College of Engineering, University of Tehran, Iran

2 Associate Professor, School of Environment, College of Engineering, University of Tehran, Iran

3 Assistant Professor, School of Environment, College of Engineering, University of Tehran, Iran

Abstract

Uncertainty analysis is an inseparable step in the process of hydrological modeling. Quantitative assessment of the uncertainty in the simulation model outputs and its parameters lead to an increase of confidence in the results of modeling and understanding of the sources of uncertainty.  Due to the increasing use of groundwater management model and predicting the behavior of the aquifer, this research is seeking to analyze the uncertainty in quantitative-qualitative aquifer simulation and its effect on optimization results. Using SWAT hydrologic model, the amount of recharge is specified and inserted into MODFLOW groundwater flow model and MT3DMS transmission model. In this research, the DREAM (zs) algorithm (based on Monte Carlo Markov chain algorithms) was used to examine the uncertainty of MODFLOW model parameters. Then by linking the model with MOPSO, the optimum head and salinity are obtained in the aquifer. The results show that the accuracy of the inputs of the model leads to the desirability of the results in relation to the intended purpose of reducing the water table.

Keywords

Main Subjects

References

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Iranian journal of Ecohydrology
Volume 6, Issue 1
April 2019
Pages 137-151

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History

  • Receive Date: 22 September 2018
  • Revise Date: 01 December 2018
  • Accept Date: 01 December 2018
  • First Publish Date: 21 March 2019
  • Publish Date: 21 March 2019

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