Numerical simulation of Taybad plain aquifer using MODFLOW and prediction of management scenarios

Document Type : Research Paper

Authors

1 Department of Water Engineering, Faculty of Agricultural Technology, University of Tehran, Iran.

2 Water Research Institute, Ministry of Energy, Tehran, Iran.

10.22059/jwim.2024.369806.1129

Abstract

The aim of the research is quantitative modeling of the underground water flow of the plain aquifer and the investigation of management solutions to deal with the drop in the underground water level. This research was investigated using hydrogeological information, hydrology, meteorology and basic studies of underground water sources. Quantitative underground water modeling was done using GMS software and Modflow code and the underground water level was simulated for the years 2011-2015 with 60 monthly time steps. Manual calibration of the model was done for 2011-2014 and its validation was done for 2014-2015. Future management solutions, in the form of combined scenarios:One- 10% reduction in withdrawal from wells with a 5% reduction in feeding from return of agricultural water. Two- 20% reduction in withdrawal from wells with a 10% reduction in feeding from return of agricultural water. Three- Their comparison with the continuation of the existing trend was predicted for the years 2015-2019. The result of the aquifer modeling for the above time periods showed the deficit of the reservoir 33.09 MCM. But by applying a 10% reduction in withdrawal and a 5% reduction in feeding, 21.38 MCM/year and by applying a 20% reduction in recharging from the return flows of agricultural consumption and 10% reduction in feeding, 25.94 MCM/year were added to the volume of the water balance. But with the continuation of the current trend, the deficit volume of the aquifer was estimated to be more than 54 MCM.

Keywords

Main Subjects

References

  1. Casanova, J., Devau, N., & Pettenati, M. (2016). Managed aquifer recharge: An overview of issues and options. Springer, New York. 413-434.
  2. Eskandari Damaneh, H., Zehtabian, G., Khosravi, H., Azarnivand, H., & Barati, A. (2022). The Future of Temporal and Spatial Variations in the Quantitative and Qualitative Parameters of Groundwater in Arid Regions: A Case Study of Minab Plain. Environmental Erosion Research, 12(3), 78-99. (In Persian).
  3. Goodarzi, M., & Mortazavizadeh, F. S. (2020). Assessing climate change impacts on groundwater fluctuations using RCP scenarios: A case study of Hashtgerd plain. Iranian Journal of Eco Hydrology, 7(3), 801-814. (In Persian).
  4. Hamze, S., Bagherpour, Z., Delghandi, M., & Kardan Moghaddam, H. (2018). Risk assessment of climate change impacts on groundwater level (Case study: Gotvand Aghili aquifer). Iranian Journal of Eco Hydrology, 5(1), 111-122. (In Persian).
  5. Kardan Moghaddam, H., Banihabib, M. E., & Javadi, S. (2017). Assessment of artificial recharge on aquifer restoring using sustainability index. Iranian Journal of Eco Hydrology, 4(4), 1241-1253. (In Persian).
  6. Ketabchi, H., & Ataie-Ashtiani, B. (2015a). Assessment of a parallel evolutionary optimization approach for efficient management of coastal aquifers. Environmental Modelling & Software, 74, 21-38.
  7. Ministry of Energy. (2014). Groundwater Reclamation and Balancing Plan, 5th Directive: Blockage of unauthorized wells, prevention of over-harvesting of water resources (In Persian).
  8. Nozarpour, L., Chit Sazan, M., & Farhadi Manesh, A. (2014). Evaluation of the hydraulic connection of the Lor Andimeshk plain aquifer and the Dez river using the MODFLOW model. Advanced Applied Geology. (In Persian).
  9. Parsasadr, H., Mohammadzadeh, H., & Naseri, H. R. (2016). Numerical simulating of Sabzevar Roudab aquifer and checking of influences of constructing Sabzevar Roudab dam on it. Journal of Water and Soil Conservation Research, 23(1), 119-135. (In Persian).
  10. Taheri Tizro, A., & Kamali, M. (2017). Groundwater modeling by MODFLOW model In Toyserkan aquifer and evaluation of hydrogeological state under present and future conditions. Water resources engineering, 9(31), 45-60. (In Persian).
  11. Wang, Y., & Yang, P. P. (2015). The application of GMS. Advanced Materials Research, 1092, 1209-1212.
Water and Irrigation Management
Volume 14, Issue 2
October 2024
Pages 343-355

Files

Share

How to cite

Statistics