Log in

Groundwater management in arid and semi-arid regions

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

In recent decades, there has been an increasing demand for water, particularly in arid and semi-arid areas of Iran, resulting in excessive use of waters, more specifically groundwater resources. The present study aims at optimizing the use of groundwater and determining the optimal pum** rate (OPR) of wells in an appropriate manner. First, a hydrodynamic groundwater model, known as MODFLOW, was developed, calibrated, and verified. Subsequently, the model was linked to a multi-objective evolutionary algorithm (MOEA), and the objective functions were defined as the maximization of net benefit from agricultural products and minimization of the groundwater table drawdown, using the non-dominated sorting genetic algorithm version II (NSGA-II). Then, the optimal policies were derived considering three scenarios of water and power consumption management (NEXUS) in terms of base price, 50% reduction, and 50% increase in the base price. The replacement of a 50% reduction in costs scenario with the status quo showed an increase of up to 10% in the benefits gained from agricultural crops and, consequently, a 16% increase in groundwater table drawdown. On the other hand, the scenario of a 50% increase in costs resulted in a 10% reduction in benefits and a 51% increase in the groundwater level. There is a positive correlation between electricity prices and the sustainability of aquifers. Nevertheless, it led to economic instability caused by the loss of farmers’ income. To follow the Subsidy Reform Plan (SRP), subsidy to agricultural products was recommended to be provided as an optimal policy to ensure sustainable groundwater withdrawal and food security.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Alaviani F, Sedghi H, Moghaddam AA, Babazadeh H (2018) Adopting Gms-Pso model to reduce groundwater withdrawal by integrated water resources management. Int J Environ Res 12(5):619–629

    Article  Google Scholar 

  • Anderson MP, Woessner WW (1992) The role of the postaudit in model validation. Adv Water Resour 15(3):167–173

    Article  Google Scholar 

  • Ayvaz MT (2016) A hybrid simulation–optimization approach for solving the areal groundwater pollution source identification problems. J Hydrol 538:161–176

    Article  Google Scholar 

  • Ayvaz MT, Elçi A (2013) A groundwater management tool for solving the pum** cost minimization problem for the Tahtali watershed (Izmir-Turkey) using hybrid HS-Solver optimization algorithm. J Hydrol 478:63–76

    Article  Google Scholar 

  • Alnahhal S, Afifi S, Qahman KA, Dentoni M, Lecca G (2010) A simulation/optimization approach to manage groundwater resources in the Gaza aquifer (Palestine). In Proceedings of the XVIII Conference on Computational Methods in Water Resources (CMWR 2010)

  • Ayvaz MT, Karahan H (2008) A simulation/optimization model for the identification of unknown groundwater well locations and pum** rates. J Hydrol 357(1–2):76–92

    Article  Google Scholar 

  • Banihabib ME, Hosseinzadeh M, Peralta RC (2016) Optimization of inter-sectorial water reallocation for arid-zone megacity-dominated area. Urban Water Journal 13(8):852–860

    Article  Google Scholar 

  • Bizikova L, Roy D, Swanson D, Venema HD, McCandless M (2013) The water-energy-food security nexus: towards a practical planning and decision-support framework for landscape investment and risk management. International Institute for Sustainable Development, Winnipeg, pp 16–20

    Google Scholar 

  • Brauman KA, Siebert S, Foley JA (2013) Improvements in crop water productivity increase water sustainability and food security—a global analysis. Environ Res Lett 8(2):024030

    Article  Google Scholar 

  • Bordbar M, Neshat A, Javadi S (2019) A new hybrid framework for optimization and modification of groundwater vulnerability in coastal aquifer. Environ Sci Pollut Res 26(21):21808–21827

    Article  Google Scholar 

  • Chen X (2007) Hydrologic connections of a stream–aquifer-vegetation zone in south-central Platte River valley, Nebraska. J Hydrol 333(2–4):554–568

    Article  Google Scholar 

  • Cheng B, Halhal D, Ouazar D, Naji A, El Harrouni K (2016) Pum** optimization in saltwater-intruded aquifers. Coast Aquifer Manag Model Case Stud 36(8)233–256

  • De Fraiture C, Molden D, Wichelns D (2010) Investing in water for food, ecosystems, and livelihoods: an overview of the comprehensive assessment of water management in agriculture. Agric Water Manag 97(4):495–501

    Article  Google Scholar 

  • Dentoni M, Qahman K, Deidda R, Paniconi C, Lecca G (2013) A Simulation/Optimization approach to manage groundwater resources in the Gaza aquifer (Palestinian Territories) under climate change conditions

  • Endo A, Burnett K, Orencio PM, Kumazawa T, Wada C A, Ishii A, ... Taniguchi M (2015) Methods of the water-energy-food nexus. Water 7(10): 5806-5830

  • Garg NK, Dadhich SM (2014) Integrated non-linear model for optimal crop** pattern and irrigation scheduling under deficit irrigation. Agric Water Manag 140:1–13

    Article  Google Scholar 

  • Gaur S, Chahar BR, Graillot D (2011) Analytic elements method and particle swarm optimization-based simulation–optimization model for groundwater management. J Hydrol 402(3–4):217–227

    Article  Google Scholar 

  • Ghafoori-Kharanagh S, Banihabib ME, Javadi S, Randhir TO (2021) Participatory water-food-energy nexus approach for evaluation and design of groundwater governance. Water Resour Manage 35(11):3481–3495

    Article  Google Scholar 

  • Grogan DS, Zhang F, Prusevich A, Lammers RB, Wisser D, Glidden S, ... Frolking S (2015) Quantifying the link between crop production and mined groundwater irrigation in China. Sci Total Environ 511: 161-175

  • Hatamkhani A, Moridi A (2021) Optimal development of agricultural sectors in the basin based on economic efficiency and social equality. Water Resour Manage 35(3):917–932

    Article  Google Scholar 

  • Hatamkhani A, Moridi A (2019) Multi-objective optimization of hydropower and agricultural development at river basin scale. Water Resour Manage 33(13):4431–4450

    Article  Google Scholar 

  • Hatamkhani A, Moridi A, Yazdi J (2020) A simulation–optimization models for multi-reservoir hydropower systems design at watershed scale. Renewable Energy 149:253–263

    Article  Google Scholar 

  • Hekmat A (2002) Overexploitation of groundwater in Iran: need for an integrated water policy. Paper for the IWMI-ICAR-Colombo Plan sponsored Policy Dialogue on ‘Forward-Thinking Policies for Groundwater Management: Energy. Water Resources, and Economic Approaches organized at India International Centre, New Delhi during, p 2–6

  • Hoff H (2011) Understanding the nexus. Background Paper for the Bonn2011 Conference: The Water, Energy, and Food Security Nexus. Stockholm Environment Institute, Stockholm

  • Hülsmann S, Rinke K, Paul L, Santos CD (2021) Storage reservoir operation and management. Handbook of Water Resources Management: Discourses, Concepts and Examples, 777–799

  • IGRAC, “https://www.un-igrac.org/.,” 2017

  • Karamouz M, Ahmadi A, Akhbari, M (2020) Groundwater hydrology: engineering, planning, and management, 2nd ed. CRC Press. https://doi.org/10.1201/9780429265693

  • Margat J, Van der Gun J (2013) Groundwater around the world: a geographic synopsis. Crc Press

  • McDonald MG, Harbaugh AW, original authors of MODFLOW (2003) The history of MODFLOW. Groundwater 41(2): 280-283

  • McDonald MG, Harbaugh AW (1988) A modular-three dimensional finite-difference ground    water flow model. Techniques of Water Resources. Investigations of the United States Geological Survey, Book 6. Chapter A.

  • Milan SG, Roozbahani A, Azar NA, Javadi S (2021) Development of adaptive neuro fuzzy inference system–evolutionary algorithms hybrid models (ANFIS-EA) for prediction of optimal groundwater exploitation. J Hydrol 598:126258

    Article  Google Scholar 

  • Molle F, Mollinga P (2003) Water poverty indicators: conceptual problems and policy issues. Water Policy 5(5–6):529–544

    Article  Google Scholar 

  • Park CH, Aral MM (2004) Multi-objective optimization of pum** rates and well placement in coastal aquifers. J Hydrol 290(1–2):80–99

    Article  Google Scholar 

  • Raju KS, Kumar DN (2004) Irrigation planning using genetic algorithms. Water Resour Manag 18(1989):163–176

    Article  Google Scholar 

  • Sarker R, Ray T (2009) An improved evolutionary algorithm for solving multi-objective crop planning models. Comput Electron Agric 68(2):191–199

    Article  Google Scholar 

  • Sawyer CS, Ahlfeld DP, King AJ (1995) Groundwater remediation design using a three-dimensional simulation model and mixed-integer programming. Water Resour Res 31(5):1373–1385

    Article  Google Scholar 

  • Shah T, Giordano M, Wang J (2004) Irrigation institutions in a dynamic economy: what is China doing differently from India?. Econo Polit Wkly: 3452–3461

  • Singh RM, Datta B (2006) Identification of groundwater pollution sources using GA-based linked simulation optimization model. J Hydrol Eng 11(2):101–109

    Article  Google Scholar 

  • Sun CZ, Yan X (2018) Security evaluation and spatial correlation analysis of water resources, energy and grain coupling systems in China [J]. Water Resour Prot 34(5):1–8

    Google Scholar 

  • Shahdany SMH, Firoozfar A, Maestre JM, Mallakpour I, Taghvaeian S, Karimi P (2018) Operational performance improvements in irrigation canals to overcome groundwater overexploitation. Agric Water Manag 204:234–246

    Article  Google Scholar 

  • Sreekanth J, Datta B (2010) Multi-objective management of saltwater intrusion in coastal aquifers using genetic programming and modular neural network-based surrogate models. J Hydrol 393(3-4):245–256

  • Sušnik J (2018) Data-driven quantification of the global water-energy-food system. Resour Conserv Recycl 133:179–190

    Article  Google Scholar 

  • Treichel W, Haładus A, Zdechlik R (2015) Simulation and optimization of groundwater exploitation for the water supply of Tarnów agglomeration (southern Poland). Bull Geogr Phys Geogr Ser 9: 21-29

  • Wang Z, Wang J, Zhang G, Wang Z (2021) Evaluation of agricultural extension service for sustainable agricultural development using a hybrid entropy and TOPSIS method. Sustainability 13(1):347

  • Wilhite DA (2000) Drought as a natural hazard: concepts and definitions

  • Yang Y, Guan H, Batelaan O, McVicar TR, Long D, Piao S, Simmons CT (2016) Contrasting responses of water use efficiency to drought across global terrestrial ecosystems. Sci Rep 6(1):1–8

  • Zhang X, Vesselinov VV (2017) Integrated modeling approach for optimal management of water, energy and food security nexus. Adv Water Resour 101:1–10. https://doi.org/10.1016/j.advwatres.2016.12.017

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to express their very great appreciation to the respectful editor and reviewers, who accept the article reviewing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ali Moridi.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Broder J. Merkel

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zamani, M.G., Moridi, A. & Yazdi, J. Groundwater management in arid and semi-arid regions. Arab J Geosci 15, 362 (2022). https://doi.org/10.1007/s12517-022-09546-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-022-09546-w

Keywords

Navigation