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Hossein

Hossein Hashemi

Senior lecturer

Hossein

Natural vs. artificial groundwater recharge, quantification through inverse modeling

Author

  • Hossein Hashemi
  • Ronny Berndtsson
  • Mazda Kompani-Zare
  • Magnus Persson

Summary, in English

Estimating the change in groundwater recharge from an introduced artificial recharge system is important in order to evaluate future water availability. This paper presents an inverse modeling approach to quantify the recharge contribution from both an ephemeral river channel and an introduced artificial recharge system based on floodwater spreading in arid Iran. The study used the MODFLOW-2000 to estimate recharge for both steady and unsteady-state conditions. The model was calibrated and verified based on the observed hydraulic head in observation wells and model precision, uncertainty, and model sensitivity were analyzed in all modeling steps. The results showed that in a normal year without extreme events the floodwater spreading system is the main contributor to recharge with 80% and the ephemeral river channel with 20% of total recharge in the studied area. Uncertainty analysis revealed that the river channel recharge estimation represents relatively more uncertainty in comparison to the artificial recharge zones. The model is also less sensitive to the river channel. The results show that by expanding the artificial recharge system the recharge volume can be increased even for small flood events while the recharge through the river channel increases only for major flood events.

Department/s

  • Division of Water Resources Engineering
  • Centre for Advanced Middle Eastern Studies
  • MECW: The Middle East in the Contemporary World

Publishing year

2013

Language

English

Pages

637-650

Publication/Series

Hydrology and Earth System Sciences

Volume

17

Issue

2

Document type

Journal article

Publisher

European Geophysical Society, Copernicus Gesellschaft mbH

Topic

  • Water Engineering
  • Other Social Sciences

Status

Published

ISBN/ISSN/Other

  • ISSN: 1607-7938