Abstract
ELECTRE I method was coupled with GIS to develop a model for determining the appropriate location of artificial aquifer recharge (AAR) through the floodwater spreading method (FSM). Khoy Plain, Iran, was selected as the case study. A total of 16 technical criteria (categorized as physical, climatic, hydrological, and hydrogeological criteria) was used to zonate the area into five sectors. Subsequently, six scenarios were proposed for the most appropriate locations. It was found that the marginal areas near the mountains, hillside plains, and plain entries, low-grade zones, areas encompassing high-quality underground water resources and with adequate unsaturated zone thickness, and quaternary alluvial sediment zones with high transmissibility, characterize the most appropriate zones for the AAR through the FSM. Combining the results obtained in the first step into a decision matrix, the scenarios were prioritized using a proposed model based on ELECTRE I; accordingly, Scenario 3 was introduced as the optimal approach. In selecting the optimal scenario, not only the weights of the criteria and the concordance and discordance of different scenarios toward one another, but also the numerical values of the concordance and discordance thresholds played essential roles. Further investigation of the scenarios following optimistic and pessimistic approaches showed that the order of preferences of different scenarios were the same following both normal and optimistic approaches. In contrast, the pessimistic approach led to a completely different set of orders of preference, except for Scenario 3, which was again identified as the most appropriate choice.
This is a preview of subscription content, log in via an institution to check access.
Access this article
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Similar content being viewed by others
Availability of Data and Materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res 45(10). https://doi.org/10.1029/2008WR007615
Aiello G, Enea M, Galante G (2006) A multi-objective approach to facility layout problem by genetic search algorithm and Electre method. Robot Comput Integr Manuf 22(5–6):447–455. https://doi.org/10.1016/j.rcim.2005.11.002
Augusto M, Figueira J, Lisboa J, Yasin M (2005) An application of a multi-criteria approach to assessing the performance of Portugal’s economic sectors. Eur Bus Rev. https://doi.org/10.1108/09555340510587995
Beccali M, Cellura M, Mistretta M (2003) Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology. Renew Energy 28(13):2063–2087. https://doi.org/10.1016/S0960-1481(03)00102-2
Buchanan JT, Sheppard PJ, Vanderpooten D (1999) Project ranking using ELECTRE III. University of Waikato, Department of Management Systems
Chenini I, Mammou AB (2010) Groundwater recharge study in arid region: an approach using GIS techniques and numerical modeling. Comput Geosci 36(6):801–817. https://doi.org/10.1016/j.cageo.2009.06.014
de Almeida AT (2007) Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Comput Oper Res 34(12):3569–3574. https://doi.org/10.1016/j.cor.2006.01.003
Duckstein L, Treichel W, Magnouni SE (1994) Ranking ground-water management alternatives by multicriterion analysis. J Water Resour Plan Manag 120(4):546–565. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:4(546)
Faramarzi M, Abbaspour KC, Schulin R, Yang H (2009) Modelling blue and green water resources availability in Iran. Hydrol Process Int J 23(3):486–501. https://doi.org/10.1002/hyp.7160
Figueira J, Greco S, Ehrgott M (Eds.) (2005) Multiple criteria decision analysis: state of the art surveys (Vol. 78). Springer Science & Business Media
Foltz RC (2002) Iran’s water crisis: cultural, political, and ethical dimensions. J Agric Environ Ethics 15(4):357–380. https://doi.org/10.1023/A:1021268621490
Gal T, Stewart T, Hanne T (Eds.) (2013) Multicriteria decision making: advances in MCDM models, algorithms, theory, and applications (Vol. 21). Springer Science & Business Media
Ghazavi R, Babaei S, Erfanian M (2018) Recharge wells site selection for artificial groundwater recharge in an urban area using fuzzy logic technique. Water Resour Manag 32(12):3821–3834. https://doi.org/10.1007/s11269-018-2020-7
Hosseinlou HH (2018) Assessing the decrease in the level of ground water table using geographic information system (GIS)(Case Study: Khoy Plain Aquifer). J Geogr Environ Hazards 7(2):74–53. (In Persian). https://doi.org/10.22067/geo.v7i2.67365
Hajkowicz S, Higgins A (2008) A comparison of multiple criteria analysis techniques for water resource management. Eur J Oper Res 184(1):255–265. https://doi.org/10.1016/j.ejor.2006.10.045
Hatami-Marbini A, Tavana M (2011) An extension of the Electre I method for group decision-making under a fuzzy environment. Omega 39(4):373–386. https://doi.org/10.1016/j.omega.2010.09.001
Hounslow AW (2018) Water quality data: analysis and interpretation. CRC Press
Iran Ministry of Power (2011) Environmental bases of design for artificial feeding plans. (In Persian)
Kamyabi S, Farahani S (2017) Effective climatic factors in mountainous regions of Iran for urban planinig: A case study in Rudbar Qasran in the central Alborz. e-Bangi 8(1):17–28
Krishnamurthy J, Srinivas G (1995) Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data. Int J Remote Sens 16(14):2595–2618. https://doi.org/10.1080/01431169508954579
Leyva-Lopez JC, Fernandez-Gonzalez E (2003) A new method for group decision support based on ELECTRE III methodology. Eur J Oper Res 148(1):14–27. https://doi.org/10.1016/S0377-2217(02)00273-4
Machiwal D, Jha MK, Mal BC (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manag 25(5):1359–1386. https://doi.org/10.1007/s11269-010-9749-y
Mahmoud SH, Alazba AA, Amin MT (2014) Identification of potential sites for groundwater recharge using a GIS-based decision support system in Jazan region-Saudi Arabia. Water Resour Manag 28(10):3319–3340. https://doi.org/10.1007/s11269-014-0681-4
Marinoni O (2004) Implementation of the analytical hierarchy process with VBA in ArcGIS. Comput Geosci 30(6):637–646. https://doi.org/10.1016/j.cageo.2004.03.010
Matomela N, Li T, Ikhumhen HO (2020) Siting of rainwater harvesting potential sites in arid or semi-arid watersheds using GIS-based techniques. Environ Process 7(2):631–652. https://doi.org/10.1007/s40710-020-00434-7
Medina-Salas D, Castillo-González E, Giraldi-Díaz MR, Guzmán-González V (2017) Analysis of economical and environmental costs for the selection of municipal solid waste treatment and disposal scenarios through multicriteria analysis (ELECTRE method). Sustainability 9(11):1758. https://doi.org/10.3390/su9111758
Ministry of Water Resources (2007) Manual on artificial recharge of groundwater. Government of India, 185p
Motiee H, Monouchehri GH, Tabatabai MRM (2001) Water crisis in Iran, codification and strategies in urban water. In Proceedings of the Workshops held at the UNESCO Symposium, Technical Documents in Hydrology 45:55–62
Norese MF (2006) ELECTRE III as a support for participatory decision-making on the localisation of waste-treatment plants. Land Use Policy 23(1):76–85. https://doi.org/10.1016/j.landusepol.2004.08.009
Pang J, Zhang G, Chen G (2011) ELECTRE I Decision Model of Reliability Design Scheme for Computer Numerical Control Machine. J. SoftW. 6(5):894–900. https://doi.org/10.4304/jsw.6.5.894-900
Regional Water Organization of West Azerbaijan, Iran (1978-2011). Result of the Census Period 1978-2011. (In Persian)
Roy B (1990) The outranking approach and the foundations of ELECTRE methods. In Readings in multiple criteria decision aid (pp. 155-183). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75935-2_8
Saaty TL (1990) Decision making for leaders: the analytic hierarchy process for decisions in a complex world. RWS publications
Shanian A, Milani AS, Carson C, Abeyaratne RC (2008) A new application of ELECTRE III and revised Simos’ procedure for group material selection under weighting uncertainty. Knowl Based Syst 21(7):709–720. https://doi.org/10.1016/j.knosys.2008.03.028
Triantaphyllou E (2000) Multi-criteria decision making methods. In Multi-criteria decision making methods: A comparative study (pp. 5-21). Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3157-6_2
Wang X, Triantaphyllou E (2008) Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega 36(1):45–63. https://doi.org/10.1016/j.omega.2005.12.003
Yoo C, Kim JM (2007) Tunneling performance prediction using an integrated GIS and neural network. Comput Geotech 34(1):19–30. https://doi.org/10.1016/j.compgeo.2006.08.007
Author information
Authors and Affiliations
Contributions
H.R. Jahangirzadeh: Data Collection, Analyzing, Software Running; M. Ghanbarzadeh Lak: Literature Search and Review, Manuscript Writing, Results Interpretation.
Corresponding author
Ethics declarations
Ethics Approval and Consent to Participate
Not applicable.
Consent for Publication
Not applicable.
Competing Interests
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Jahangirzadeh, H., Ghanbarzadeh Lak, M. Developing a Decision-making Model to Enhance Artificial Aquifer Recharge Site Selection Through Floodwater Spreading Based on GIS and ELECTRE I. Water Resour Manage 35, 5169–5186 (2021). https://doi.org/10.1007/s11269-021-02993-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11269-021-02993-2