Ten Year Prediction of Groundwater Level for the Purpose of of Determining Reasonable Policies for Exploitation from Aquifer

Document Type : Research Article

Authors

1 Master of science Student, Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran.

2 Associate professor, Faculty of Environment, University of Tehran, Iran

Abstract

In recent decades, using water resources is increased for the sake of industrial, domestic and agricultural water consumptions by increase in urbanization and industrial development in Karaj region that fraction of groundwater resources is too much according to the recent drought years and reduced precipitation in Middle-East. These outcomes has caused groundwater level drop, reduced in aquifer storage and many springs and qanats were deserted and dried up. Therefore, studying groundwater status accurately, groundwater level drop reasons, the consequences and presenting solutions to conservation and balancing groundwater are essential matter in this study area that all of them depends on determining reasonable policies for exploiting from the aquifer. Therefore, three scenarios entitled optimistic status, pessimistic status and continuing current exploitation status were defined to predict groundwater level of Karaj study area from water year 2014-15 until water year 2023-24 utilizing MATLAB interface. According to the results, 12.834 m, 17.019 m and 4.906 m water level drops were computed for continuing current exploitation status, pessimistic status and optimistic status, respectively.
 
 

Keywords

Main Subjects

References

 

 
[1]      Daliakopoulos, I.N., Coulibaly, P. and Tsanis, I.K., 2005, Groundwater level forecasting using artificial neural networks, Journal of Hydrology, vol. 309, pp. 229-240.
[2]      Kollet, S. J., Maxwell, R. M., 2006, Integrated surface–groundwater flow modeling: A free-surface overland flow boundary condition in a parallel groundwater flow model, Journal of Advances in Water Resources, vol. 29, pp. 945-958.
[3]      Bear, J., Verruit, A., 1998, Modeling Groundwater Flow and Pollution, D.Reidel publishing company, P.O. Box17, 3300 AA Dordrecht, Holland.
[4]      Fowe1, T., Nouiri, I., Ibrahim, B., Karambiri H., and Paturel, J. E., 2015, OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems, Water Resources Management, vol. 29, pp. 3841-3861.
[5]      Van-Camp, M., Radfar, M. and Walraevens, K., 2010, Assessment of groundwater storage depletion by overexploitation using simple indicators in an irrigated closed aquifer basin in Iran , Agricultural Water Management, vol. 97, pp. 1876-1886.
[6]      Kharmah, R.A.S., 2007, Optimal Management of Groundwater Pumping, The Case of the Eocene Aquifer, Palestine, M.S. thesis, Dept. Env. Eng., An-Najah National Univ., Nablus, Palestine.
[7]      El-Yaouti, F., El-Mandor, A., Khattach, D. and Kaufmann, O., 2008, Modelling groundwater flow and advective contaminant transport in the Bou-Areg unconfined aquifer (NE Morocco), Journal of Hydro-environment Research, vol. 2,pp. 192-209.
[8]      Wen, X. H., Wu, Y. Q., Lee, L. J. E., Su, J. P. and Wu, J., 2007, Groundwater flow modeling in the Zhangye Basin, Northwestern China, Journal of Environmental Geology, vol. 53, pp. 77-84.
[9]      Carrera-Hernandez, J. J., Gaskin, S. J., 2006, The groundwater modeling tool for GRASS (GMTG): Open source groundwater flow modeling, Journal of Computers & Geosciences, vol. 32, pp. 339-351.
[10]  Chiang, W.H and Kinzelbach, W., 2001, 3D groundwater modeling with PMWIN, Springer Science & Business Media.
[11]  Harbaugh, A.W., 2005, MODFLOW-2005, the US Geological Survey modular ground-water model: The ground-water flow process. Reston, VA, USA: US Department of the Interior, US Geological Survey.
[12]  Hassan, A. E., 2004, A Methodology for Validating Numerical Ground Water Models, Journal of Groundwater, vol. 42, pp. 347-362.
Iranian journal of Ecohydrology
Volume 3, Issue 3
September 2017
Pages 405-414

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History

  • Receive Date: 27 August 2016
  • Revise Date: 11 November 2016
  • Accept Date: 09 November 2016

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