Review of GIS Multi-Criteria Decision Analysis for Managed Aquifer Recharge in Semi-Arid Regions
- 134 Downloads
Managed aquifer recharge (MAR) embeds techniques for purposefully increasing the recharge to confined or unconfined aquifers. For aquifers subject to freshwater extraction, MAR constitutes a central component for sustainability—particularly in semi-arid regions, where climate change and population growth drive water scarcity toward a complex societal problem. Geographic information systems (GIS) coupled with multi-criteria decision analysis (MCDA) can be used for MAR suitability mapping to identify suitable areas for implementation of MAR. In other words, GIS-MCDA aids decision-makers to effectively choose the appropriate locations, with the flexibility of incorporating local contingencies if needed. Although numerous applications of GIS-MCDA are reported in the literature, the important linkage between MAR technique selection and suitability mapping with GIS-MCDA is largely left unfocused. This chapter provides an updated overview of GIS-MCDA for MAR suitability mapping in semi-arid regions and exemplifies key features that depend on the MAR technique considered with subsequent influence on the methodology. The potential of suitability mapping is discussed along with shortcomings of this methodology. Lastly, directions for future research are hypothesized.
KeywordsGIS-MCDA MAR Aquifer Groundwater
- Adem Esmail, B. and Geneletti, D. (2018) ‘Multi-criteria decision analysis for nature conservation: A review of 20 years of applications’, Methods in ecology and evolution. L. Dicks. British Ecological Society Cambridge, 9(1), pp. 42–53. doi: https://doi.org/10.1111/2041-210X.12899.CrossRefGoogle Scholar
- Agostinetto, L., Dalla Venezia, F., & Gusmaroli, G. (2013). Managed aquifer recharge (MAR) demonstrative techniques for the quantitative restoration of the groundwater balance in the Vicenza upper plain. Veneto Agricoltura. Veneto Agricoltura Regional Agency for the Agriculture, Forestry and Agrifood Sectors. Retrieved from www.lifeaquor.org.
- Ahani Amineh, Z. B., Hashemian, S. J. A. D., & Magholi, A. (2017). Integrating Spatial Multi Criteria Decision Making (SMCDM) with Geographic Information Systems (GIS) for delineation of the most suitable areas for aquifer storage and recovery (ASR). Journal of Hydrology, 551, 577–595. https://doi.org/10.1016/j.jhydrol.2017.05.031. Elsevier B.V.CrossRefGoogle Scholar
- Anane, M., et al. (2008). Ranking suitable sites for soil aquifer treatment in Jerba Island (Tunisia) using remote sensing, GIS and AHP-multicriteria decision analysis. International Journal of Water, 4(1–2), 121–135. https://doi.org/10.1504/IJW.2008.018151. Inderscience Publishers.CrossRefGoogle Scholar
- Bana e Costa, C. A., & Vansnick, J. C. (1997). Applications of the MACBETH approach in the framework of an additive aggregation model. Journal of Multi-Criteria Decision Analysis, 6(2), 107–114. https://doi.org/10.1002/(SICI)1099-1360(199703)6:2<107::AID-MCDA147>3.0.CO;2-1. John Wiley & Sons, Ltd.CrossRefGoogle Scholar
- Casanova, J., Devau, N., & Pettenati, M. (2016). Managed aquifer recharge: An overview of issues and options. In A. J. Jakeman et al. (Eds.), Integrated groundwater management: Concepts, approaches and challenges (pp. 413–434). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-23576-9_16.CrossRefGoogle Scholar
- Dillon, P., et al. (2009). Managed aquifer recharge : An introduction. Waterlines Report Series No. 13.Google Scholar
- Dillon, P., Escalante, E. F., & Tuinhof, A. (2012). Management of aquifer recharge and discharge processes and aquifer storage equilibrium groundwater governance - A global framework for action - GEF-FAO Groundwater Governance Thematic Paper 4, 16-22. The Hague, Netherlands: FAO, GEF, IAH, IHP, and World Bank. Google Scholar
- Dutta, P. J. (2015). Assessment of groundwater potential in a part of the Vedganga watershed of Kolhapur District, Maharashtra, by a GIS-based bivariate statistical method. International Journal of Advancement in Earth and Environmental Sciences, 3(1), 22–29.Google Scholar
- Eckert, P., Irmscher, R., & Rohns, H. P. (2005). Dynamic processes during bank filtration and their impact on raw water quality. 5th International Symposium on Managed Aquifer Recharge, ISMAR 5. Berlin, Germany: UNESCO.Google Scholar
- Escalante, E. F., et al. (2016). MARSOL, demonstrating managed aquifer recharge as a solution to water scarcity and drought. European Union’s Seventh Framework Programme for Research, Technological Development and Demonstration.Google Scholar
- Falkenmark, M., Lundqvist, J., & Widstrand, C. (1989). Macro-scale water scarcity requires micro-scale approaches: Aspects of vulnerability in semi-arid development. Natural Resources Forum, 13(4), 258–267. https://doi.org/10.1111/j.1477-8947.1989.tb00348.x. Wiley.CrossRefGoogle Scholar
- Fathi, S., Hagen, J. S., & Haidari, A. H. (2020). Synthesizing existing frameworks to identify the potential for managed aquifer recharge in a karstic and semi-arid region using GIS multi criteria decision analysis. Groundwater for Sustainable Development, 11, 100390. https://doi.org/10.1016/j.gsd.2020.100390. Elsevier BV.CrossRefGoogle Scholar
- Gale, I., & Dillon, P. (Eds.). (2005). Strategies for managed aquifer recharge (MAR) in semi-arid areas. Paris: United Nations Educational, Scientific and Cultural Organization (UNESCO).Google Scholar
- IGRAC. (2007). Artificial recharge of groundwater in the world report. Delft. Retrieved August 4, 2017, from https://www.un-igrac.org/sites/default/files/resources/files/2008_IGRAC_GlobalMARInventory Report.pdf.
- IPCC. (2014). In R. K. Pachauri & L. A. Meyer (Eds.), IPCC, 2014: Climate change 2014: Synthesis report, contribution of working groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland: IPCC. https://doi.org/10.1017/CBO9781139177245.003.CrossRefGoogle Scholar
- Jeude, E. V. L. De (2016) Managed aquifer recharge : Opportunities and barriers. Universiteit Utrecht, Deltares Company.Google Scholar
- Kamangar, M. et al. (2019). A novel hybrid MCDM model to select a suitable location for implement groundwater recharge. Plant Archives 19(2):87–98.Google Scholar
- Lootsma, F. A. (1992). The REMBRANDT system for multi-criteria decision analysis via pairwise comparisons or direct rating: Technical Report 92-05, Faculty of Technical Mathematics and Informatics, Delft University of Technology, Delft, Netherlands.Google Scholar
- Lopez Mendez, B., et al. (2016). Aquifer Recharge. Retrieved August 10, 2017, from https://www.ruvival.de/wp-content/uploads/2017/06/Literature-Review-Aquifer-Recharge.pdf.
- Malczewski, J. (1999). GIS and multicriteria decision analysis. Wiley. Retrieved November 16, 2018, from https://www.wiley.com/en-nl/GIS+and+Multicriteria+Decision+Analysis-p-9780471329442.
- Malczewski, J., & Rinner, C. (2016). Multicriteria decision analysis in geographic information science - Google Books. Retrieved August 27, 2017, from https://books.google.nl/books?id=1yl3BgAAQBAJ&pg=PA300&lpg=PA300&dq=Malczewski+and+Rinner+MCDA+sensitivity&source=bl&ots=p2nHzuXhBI&sig=0UDdBJffIqYhVfGPxkOIsU4Y18w&hl=en&sa=X&ved=0ahUKEwj76aK1sfjVAhWDaFAKHZ4rDscQ6AEIPTAC#v=onepage&q=MalczewskiandRin.
- Moharir, K., Pande, C., Singh, S., Choudhari, P., Rawat, K., & Jeyakumar, L. (2019). Spatial interpolation approach-based appraisal of groundwater quality of arid regions. Aqua Journal, 68(6), 431–447.Google Scholar
- Pande, C. B., Moharir, K. N., Khadri, S. F. R., & Patil, S. (2018). Study of land use classification in the arid region using multispectral satellite images. Applied Water Science, 8(5), 1–11. ISSN 2190–5487.Google Scholar
- Pande, C. B., Moharir, K. N., Singh, S. K., & Varade, A. M. (2019). An integrated approach to delineate the groundwater potential zones in Devdari watershed area of Akola district, Maharashtra, Central India. Environment, Development, and Sustainability, 22, 4867. https://doi.org/10.1007/s10668-019-00409-1.CrossRefGoogle Scholar
- Saatsaz, M., Sulaiman, W. N. A., & Shaharin Ebrahim, L. K. (2005). Development of an aquifer, storage and recovery (ASR) site selection suitability index in support of the Comprehensive Everglades restoration project. Journal of Environmental Hydrology, 13, 1–13.Google Scholar
- Schenkerman, & Stan. (1994). Avoiding rank reversal in AHP decision-support models. European Journal of Operational Research, 74(3), 407–419. Retrieved July 31, 2020, from https://ideas.repec.org/a/eee/ejores/v74y1994i3p407-419.html. Elsevier.CrossRefGoogle Scholar
- Steinel, A. (2012). Guideline for assessment and implementation of Managed Aquifer Recharge (MAR) in (semi-)arid regions Pre-feasibility study for infiltration of floodwater in the Amman-Zarqa and Azraq basins, Jordan, Bundesamt für Geowissenschaften und Rohstoffe. Jordan. Retrieved from http://www.bgr.bund.de/EN/Themen/Zusammenarbeit/TechnZusammenarb/Downloads/jordanien_MAR.pdf?__blob=publicationFile&v=1%5Cn; http://www.bgr.bund.de/EN/Themen/Zusammenarbeit/TechnZusammenarb/Projekte/Abgeschlossen/Asien/1076_2002-3510-1-52_Jordanien_GWAnreic.
- Tuinhof, A. et al. (2012) Profit from storage the costs and benefits of water buffering. BGR (Federal Institute for Geosciences and Natural Resources), IGRAC, ACACIA, META, RAIN, BMZ, IFAD.Google Scholar
- UNESCO. (2005). Recharge systems for protecting and enhancing groundwater resources. In F. Luck, M. Jekel, & I. Johnson (Eds.), 5th International Symposium on Management of Aquifer Recharge (ISMAR5). Berlin, Germany: UNESCO. Retrieved May 9, 2017, from http://unesdoc.unesco.org/images/0014/001492/149210e.pdf.Google Scholar
- Valverde, J. P. B., et al. (2016). Application of a GIS multi-criteria decision analysis for the identification of intrinsic suitable sites in Costa Rica for the application of managed aquifer recharge (MAR) through spreading methods. Water (Switzerland), 8(9), 391. https://doi.org/10.3390/w8090391.CrossRefGoogle Scholar
- Van Berkum, S. W. (2010) Assessing suitability for managed aquifer recharge by means of a GIS-application - case study for Kenya. Utrecht. Retrieved from http://www.hwm.wur.nl/NR/rdonlyres/94013C92-71C5-4350-942F-6C26BA40E5DA/152154/berkum.pdf.