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Ronny Berndtsson

Professor, Dep Director, MECW Dep Scientific Coordinator

Profile photo of Ronny Berndtsson

Steady-State Unconfined Aquifer Simulation of the Gareh-Bygone Plain, Iran : Steady-State Unconfined Aquifer Simulation

Author

  • Hossein Hashemi
  • Ronny Berndtsson
  • Mazda Kompani-Zare

Summary, in English

The first step of aquifer parameter and dependent variable estimation based on hydraulic modeling is generally to choose the best steady-state condition for the set time period. In order to define the best estimated hydraulic conductivity and boundary condition for Gareh-Bygone Plain in arid southern Iran, ten different steady-state conditions were simulated and calibrated with limited field observations. The investigated area covers about 6000 ha with a floodwater spreading system that was established on about 2000 ha to artificially recharge the groundwater. The results showed a consistency over the 14-year simulation period with estimated hydraulic conductivity in a quite narrow range. This makes us believe that even if the modeling problem is to some extent over-parameterized the results appear quite robust. This is further strengthened by verification of the model results. Furthermore, the results showed that in the steady-state groundwater flow with no recharge from surface water, the system is mainly recharged by the fault which conducts water into the area from an upper sub-basin.

Department/s

  • Division of Water Resources Engineering
  • LTH Profile Area: Water
  • MECW: The Middle East in the Contemporary World
  • Centre for Advanced Middle Eastern Studies (CMES)

Publishing year

2012

Language

English

Pages

58-67

Publication/Series

Open Hydrology Journal

Volume

6

Issue

Suppl 1-M4

Document type

Journal article

Publisher

Bentham Open

Topic

  • Water Engineering
  • Other Social Sciences

Keywords

  • GBP
  • Steady-state
  • Hydraulic Conductivity
  • MODFLOW
  • Groundwater Modeling

Status

Published

Research group

  • Vattenresursplanering, Teknisk vattenresurslära, LTH.

ISBN/ISSN/Other

  • ISSN: 1874-3781