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Evaluation of Irrigation Efficiency Effect on Groundwater Level Variation by Modflow and Weap Models: A Case Study from Tuyserkan Plain, Hamedan, Iran

  • Abdollah Taheri TizroEmail author
  • Konstantinos Voudouris
  • Christos Mattas
  • Morteza Kamali
  • Meysam Rabanifar
Chapter
Part of the Cooperative Management book series (COMA)

Abstract

Concerning the increasing demand for water in arid and semiarid regions, especially in the field of agriculture, an analysis of irrigation efficiency plays a vital role. One of the most important approaches for increasing efficiency in agriculture is to develop modern systems and use them to replace traditional irrigation methods. Tuyserkan Plain is located in Hamadan province, Iran, that is faced with a severe decline of groundwater level. Irregular use of groundwater for agricultural needs and low-efficiency irrigation systems are believed to be the main reasons. In this study, the efficiency of traditional and modern irrigation systems is first analyzed. An irrigation efficiency scenario is presented in order to simulate irrigation efficiency increase effects on the level of groundwater in the aquifer. The irrigation efficiency scenario is simulated using the MODFLOW and WEAP models and is compared to the reference scenario (Current irrigation efficiency is maintained). Although groundwater level declines in both scenarios, the simulation showed that in the reference scenario, groundwater level decrease becomes significantly slower and, as a result, the aquifer will recover.

Keywords

Irrigation efficiency Tuyserkan plain Groundwater MODFLOW WEAP Simulation 

References

  1. Ahadi, R., Samani, Z., & Skaggs, R. (2013). Evaluating on-farm irrigation efficiency across the watershed: A case study of New Mexico’s Lower Rio Grande Basin. Agricultural Water Management, 124, 52–57.CrossRefGoogle Scholar
  2. Alizadeh, H. A., Liaghat, A., & Sohrabi, T. (2014). Assessing pressurized irrigation systems development scenarios on groundwater resources using system dynamics modeling. Journal of water and soil resources conservation, 3(4), 1–15.Google Scholar
  3. Bournaris, T., Papathanasiou, J., Manos, B., Kazakis, N., & Voudouris, K. (2015). Support of irrigation water use and ecofriendly decision process in agricultural production planning. Operational Research: An International Journal, 15, 289–306.CrossRefGoogle Scholar
  4. Burt, M., Clemmens, A. J., Strelkoff, T. S., Solomon, K. H., Bliesner, R. D., Hardy, L. A., et al. (1997). Irrigation performance measures: Efficiency and uniformity. Journal of Irrigation and Drainage Engineering, 123(6), 423–442.CrossRefGoogle Scholar
  5. Cooley, H., Christian-Smith, J., & Gleick, P. (2009). Sustaining California agriculture in an uncertain future. Pacific Institute: Technical Report.Google Scholar
  6. Gleeson, T., Wada, Y., Bierkens, M. F., & van Beek, L. P. (2012). Water balance of global aquifers revealed by groundwater footprint. Nature, 488(7410), 197–200.CrossRefGoogle Scholar
  7. IMPO Water Affairs Bureau (Management and Planning Organisation I. R. Iran). (2003). Report of water sectors ‘operation and problems’ analysis (in Persian).Google Scholar
  8. Jafary, F. (2016). Participatory modelling platform for groundwater irrigation management with local farmers in Iran (Kashan). Thesis for the degree of Doctor of Philosophy, School of Geography, Earth and Environmental Sciences, University of Birmingham, 359 p.Google Scholar
  9. Mahdavi, M., Farrokhzade, B., Salajeghe, A., Malakian, A., & Souri, M. (2012). Simulation of Hamedan-Bahar aquifer and investigation of management scenarios by using PMWIN. Watershed Management Research (Pajouhesh & Sazandegi), 98, 108–116.Google Scholar
  10. Manos, B., Bournaris, Th, Papathansiou, J., & Voudouris, K. (2009). A Decision Support System (DSS) for sustainable development and environmental protection of agricultural regions. Environmental Monitoring and Assessment, 164(1), 43–52.Google Scholar
  11. Mehta, V. K., Haden, V. R., Joyce, B. A., Purkey, D. R., & Jackson, L. E. (2013). Irrigation demand and supply, given projections of climate and land-use change in Yolo County, California. Agricultural Water Management, 117, 70–82.CrossRefGoogle Scholar
  12. Pfeiffer, L., & Lin, C. Y. C. (2014). Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence. Journal of Environmental Economics and Management, 67, 189–208.CrossRefGoogle Scholar
  13. Regional Water Organization of Hamadan. (2008). Water resources in Hamadan area. Ministry of Energy, Iran Water Resources ManagementGoogle Scholar
  14. Seiber, J., Swartz, C., & Huber-Lee, A. (2005). User guide for WEAP21, Stockholm Environment Institute Tellus Institute, 176 p.p.Google Scholar
  15. Shiklomanov, I. A., & Rodda J. C. (2003). World water resources at the beginning of the twenty-first century. Cambridge, UK, Cambridge University Press.Google Scholar
  16. Singh, A. (2014). Conjunctive use of water resources for sustainable irrigated agriculture. Journal of Hydrology, 519, 1688–1697.CrossRefGoogle Scholar
  17. Sulis, A., & Sechi, G. M. (2013). Comparison of generic simulation models for water resource systems. Environmental Modelling and Software, 40, 214–225.CrossRefGoogle Scholar
  18. Taheri Tizro, A., Voudouris, K. S., & Akbari, K. (2011). Simulation of a groundwater artificial recharge in a semi-arid region of Iran. Irrigation and Drainage, 60, 393–403.CrossRefGoogle Scholar
  19. Yazdanpanah, T., Khodashenas, S. R., Davari, K., & Ghahraman, B. (2008). Water resources management in a Watershed with WEAP model (A case study of Azghad watershed). Journal of Agriculture Science and Technology, 22(1), 213–221.Google Scholar
  20. Zadevakili, N. (2011). Surface and groundwater resource allocation policies using the integrated operation model (A case study of Zayanderood basin). Thesis submitted for Master of Science, Isfahan University of Technology, Department of Civil Engineering.Google Scholar
  21. Zhou, Y., & Li, W. (2011). A review of regional groundwater flow modeling. Geosciences Frontiers, 2(2), 205–214.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Abdollah Taheri Tizro
    • 1
    Email author
  • Konstantinos Voudouris
    • 2
  • Christos Mattas
    • 2
  • Morteza Kamali
    • 3
  • Meysam Rabanifar
    • 3
  1. 1.Department of Water EngineeringCollege of Agriculture Bu-Ali Sina UniversityHamedanIran
  2. 2.Engineering Geology and Hydrogeology Lab, Department of GeologyAristotle UniversityThessalonikiGreece
  3. 3.College of Agriculture, Bu-Ali Sina UniversityHamedanIran

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