Abstract
Groundwater in the Nabogo Basin is threatened by increasing domestic and irrigation demands during the dry season, owing to climate change and overexploitation. Managed aquifer recharge (MAR) has therefore been proposed as a water management technique to augment groundwater resources. However, the success of MAR schemes depends on the selection of sites with suitable surface and subsurface properties to enhance the recharge rates. Thus, this study created spatial maps of the slope, drainage density, land use/cover, soil texture, transmissivity, groundwater depth, and aquifer thickness in the basin to create a suitability map. Analytical hierarchy process (AHP) with and without Monte Carlo (MC) simulation was used to create weights for each criterion based on seven expert opinions to assess their performance in dealing with uncertainties. The spatial maps and weights were then integrated to create a MAR suitability map. The results showed similar mean weights for AHP- and MC-aided simulations. However, MC-aided simulations narrowed the confidence interval and reduced the standard deviation of the AHP weights by 50–89%, thereby reducing the uncertainty and sensitivity of the weights. Furthermore, the suitability map showed that 38.8% (1124 km2), 39.2% (1136 km2), and 22% (637 km2) of the basin was suitable, less suitable, and unsuitable, respectively, for MAR applications. A receiver operating curve (ROC) value of 77.8% from the validation process indicated good model performance. This proves the effectiveness of MC simulations in reducing errors and uncertainty in the AHP. Therefore, it is a useful tool for map** MAR suitability.
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References
Ahmadi H, Kaya OA, Babadagi E, Savas T, Pekkan E (2021) GIS-based groundwater potentiality map** using AHP and FR models in central Antalya. Turkey Environmental Sciences Proceedings 5(1):11. https://doi.org/10.3390/IECG2020-08741
Ajjur SB, Baalousha HM (2021) A review on implementing managed aquifer recharge in the Middle East and North Africa region: methods, progress and challenges. Water International 46(4):578–604. https://doi.org/10.1080/02508060.2021.1889192
Ajjur SB, Mogheir YK (2020) Identification of intrinsic suitable sites in Gaza Strip for the application of artificial groundwater recharge using a geographic information system multicriteria decision analysis. Journal of Multi-Criteria Decision Analysis 27(5–6):255–265. https://doi.org/10.1002/mcda.1701
Alraggad M, Jasem H (2010) Managed aquifer recharge (MAR) through surface infiltration in the Azraq basin, Jordan. J Water Resour Prot 02(12):1057–1070. https://doi.org/10.4236/jwarp.2010.212125
Andualem TG, Demeke GG (2019) Groundwater potential assessment using GIS and remote sensing: a case study of Guna tana landscape, upper blue Nile Basin, Ethiopia. J Hydrol: Regional Studies 24(100610). https://doi.org/10.1016/j.ejrh.2019.100610
Arshad M, Guillaume JHA, Ross A (2014) Assessing the feasibility of managed aquifer recharge for irrigation under uncertainty. Water (switzerland) 6(9):2748–2769. https://doi.org/10.3390/w6092748
Ataei M, Shahsavany H, Mikaeil R (2013) Monte Carlo Analytic Hierarchy Process (MAHP) approach to the selection of optimum mining method. Int J Min Sci Technol 23(4):573–578. https://doi.org/10.1016/j.ijmst.2013.07.017
Benke KK, Pelizaro C (2010) A spatial-statistical approach to the visualisation of uncertainty in land suitability analysis. J Spat Sci 55(2):257–272. https://doi.org/10.1080/14498596.2010.521975
Bonilla Valverde JP, Blank C, Roidt M, Schneider L, Stefan C (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). https://doi.org/10.3390/w8090391
Bouwer H (2002) Artificial recharge of groundwater: hydrogeology and engineering. Hydrogeol J 10(1):121–142. https://doi.org/10.1007/s10040-001-0182-4
Burgan HI, Vaheddoost B, Aksoy H (2017) Frequency analysis of monthly runoff in intermittent rivers. In: World Environmental and Water Resources Congress 2017. https://doi.org/10.1061/9780784480625.030
Carrier M, Lefebvre R, Racicot J, Asare EB (2008) Access to sanitation and safe water : Northern Ghana hydrogeological assessment project, Access to Sanitation and Safe Water: Global Partnerships and Local Actions, 33rd WEDC International Conference, Accra. Ghana 2008:361
Chang Z, Lu W, Wang Z (2022) Study on source identification and source-sink relationship of LNAPLs pollution in groundwater by the adaptive cyclic improved iterative process and Monte Carlo stochastic simulation. J Hydrol 612:28109. https://doi.org/10.1016/j.jhydrol.2022.128109
Chen W, Zhao Y, Liu L, Wang X (2020) A new evaluation method for slope stability based on TOPSIS and MCS. Advances in Civil Engineering. 2020. https://doi.org/10.1155/2020/1209470
Chowdhury A, Jha MK, Chowdary VM (2010) Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environmental Earth Sciences 59(6):1209–1222. https://doi.org/10.1007/s12665-009-0110-9
Dahri N, Abida H (2017) Monte Carlo simulation-aided analytical hierarchy process (AHP) for flood susceptibility map** in Gabes Basin (southeastern Tunisia). Environmental Earth Sciences 76(7):1–14. https://doi.org/10.1007/s12665-017-6619-4
Dapaah-Siakwan S, Gyau-Boakye P (2000) Hydrogeologic framework and borehole yields in Ghana. Hydrogeol J 8(4):405–416. https://doi.org/10.1007/PL00010976
Dillon P, Escalante FE, Megdal SB, Massmann G (2020) Managed aquifer recharge for water resilience. Water 12(7):1846. https://doi.org/10.3390/w12071846
Dupont F (2018) Managed aquifer recharge (MAR) suitability maps and standardized suitability index, the case study of the Occitanie region (South France). https://www.un-igrac.org/resource/managed-aquifer-recharge-mar-suitability-maps-and-standardized-suitability-index-case. Accessed 19 Jul 2019
Ebrahim GY, Lautze JF, Villholth KG (2020) Managed aquifer recharge in Africa: taking stock and looking forward. Water (Switzerland), 12(7). https://doi.org/10.3390/W12071844
ERDAS (2015) ERDAS Imagine 2015. Hexagon Geospatial, Peachtree Corners Circle Norcross
Erkut E, Tarimcilar M (1991) On sensitivity analysis in the analytic hierarchy process. IMA J Manag Math 3:61–83. https://doi.org/10.1093/imaman/3.1.61
ESRI (2011) ArcGIS desktop: release 10. Redlands, CA: Environmental Systems Research Institute
Essig ET, Corradini C, Morbidelli R, Govindaraju RS (2009) Infiltration and deep flow over slo** surfaces : comparison of numerical and experimental results. J Hydrol 374(1–2):30–42. https://doi.org/10.1016/j.jhydrol.2009.05.017
FAO IIASA (International Institute for Applied Systems Analysis), ISS-CAS (Institute of Soil Science, Chinese Academy of Sciences), JRC (Joint Research Centre EC) (2012) Harmonized world soil database (version 1.2) Rome, Italy: Food and Agriculture Organization of the United Nations (FAO); Laxenburg, Austria
Feizizadeh B, Blaschke T (2013) Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS. J Environ Planning Manag 56(1):1–23. https://doi.org/10.1080/09640568.2011.646964
Feizizadeh B, Jankowski P, Blaschke T (2014) A GIS-based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis. Comput Geosci 64:81–95. https://doi.org/10.1016/j.cageo.2013.11.009
Forkuor G, Pavelic P, Asare E, Obuobie E (2013) Modelling potential areas of groundwater development in northern Ghana using GIS/RS. Hydrol Sci J 58(2):437–451. https://doi.org/10.1080/02626667.2012.754101
Fuentes I, Vervoort RW (2019) (2020) Site suitability and water availability for a managed aquifer recharge project in the Namoi basin. Australia Journal of Hydrology: Regional Studies 27:100657. https://doi.org/10.1016/j.ejrh.2019.100657
Gdoura K, Anane M, Jellali S (2015) Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water. Resour Conserv Recycl 104:19–30. https://doi.org/10.1016/j.resconrec.2015.09.003
Ghayoumian J, Saravi MM, Feiznia S, Nouri B, Malekian A (2007) Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. J Asian Earth Sci 30(2):364–374. https://doi.org/10.1016/j.jseaes.2006.11.002
Ghodeif K, Grischek T, Bartak R, Wahaab R, Herlitzius J (2016) Potential of river bank filtration (RBF) in Egypt. Environmental Earth Sciences 75(8):1–13. https://doi.org/10.1007/s12665-016-5454-3
Ghana Meteorological Agency (2018) Tamale climate data, 1987–2016. Unpublished, Accra
Hosmer DW, Lemeshow S, Sturdivant RX (2013) Applied logistic regression, vol 398. John Wiley & Sons
Hussaini MS, Farahmand A, Shrestha S, Neupane S, Abrunhosa M (2022) Site selection for managed aquifer recharge in the city of Kabul, Afghanistan, using a multi-criteria decision analysis and geographic information system. Hydrogeol J 30(1):59–78. https://doi.org/10.1007/s10040-021-02408-x
**g L, Chen B, Zhang B, Li P, Zheng J (2013) Monte Carlo simulation–aided analytic hierarchy process approach: case study of assessing preferred non-point-source pollution control best management practices. J Environ Eng 139(5):618–626. https://doi.org/10.1061/(asce)ee.1943-7870.0000673
Johnston K, Ver Hoef JM, Krivoruchko K, Lucas N (2001) Using ArcGIS geostatistical analyst, Volume 380. Redlands, CA: Environmental Systems Research Institute. http://downloads2.esri.com/support/documentation/ao_/Using_ArcGIS_Geostatistical_Analyst.pdf. Accessed 24 Jan 2021
Kazakis N (2018) Delineation of suitable zones for the application of managed aquifer recharge (MAR) in coastal aquifers using quantitative parameters and the analytical hierarchy process. Water (switzerland) 10:804. https://doi.org/10.3390/w10060804
Koulinas GK, Demesouka OE, Sidas KA, Koulouriotis DE (2021) A TOPSIS—risk matrix and Monte Carlo expert system for risk assessment in engineering projects. Sustainability 13(20):11277. https://doi.org/10.3390/su132011277
Krâsny J (1992) Classification of transmissivity and magnitude and variation. Ground Water 31(2):7
Krautstrunk ML (2012) An estimate of groundwater recharge in the Nabogo River Basin, Ghana using water table fluctuation method and chloride mass balance. Dissertation, Texas State University
Krishnamurthy J, Kumar VN, Jayaraman V, Manivel M (1996) An approach to demarcate groundwater potential zones through remote sensing and a geographical information system. Int J Remote Sens 17(10):1867–1884. https://doi.org/10.1080/01431169608948744
Kruć R, Dragon K, Górski J (2019) Migration of pharmaceuticals from the Warta River to the aquifer at a riverbank filtration site in Krajkowo (Poland). Water (switzerland) 11(11):1–11. https://doi.org/10.3390/w11112238
Munier N, Hontoria E (2021) Shortcomings of the AHP method. In: uses and limitations of the AHP method. management for professionals. Springer, Cham. https://doi.org/10.1007/978-3-030-60392-2_5
Mushtaha AM, Van Camp M, Walraevens K (2019) Quantification of recharge and runoff from rainfall using new GIS tool: example of the Gaza Strip aquifer. Water (Switzerland), 11(1). https://doi.org/10.3390/w11010084
Nsiah E, Appiah-Adjei EK, Adjei KA (2018) Hydrogeological delineation of groundwater potential zones in the Nabogo basin, Ghana. J Afr Earth Sc 143:1–9. https://doi.org/10.1016/j.jafrearsci.2018.03.016
Palisade Corporation (2020) @RISK, version 8.1, Monte Carlo add-in module for MS Excel
Rahman MA, Rusteberg B, Gogu RC, Ferreira JP, Sauter M (2012) A new spatial multi-criteria decision support tool for site selection for implementation of managed aquifer recharge. J Environ Manag 99:61–75. https://doi.org/10.1016/j.jenvman.2012.01.003
Rahman MA, Rusteberg B, Uddin MS, Lutz A, Saada MA, Sauter M (2013) An integrated study of spatial multicriteria analysis and mathematical modelling for managed aquifer recharge site suitability map** and site ranking at Northern Gaza coastal aquifer. J Environ Manag 124:25–39. https://doi.org/10.1016/j.jenvman.2013.03.023
Rosenbloom ES (1997) A probabilistic interpretation of the final rankings in AHP. Eur J Oper Res 96(2):371–378
Russo TA, Fisher AT, Lockwood BS (2015) Assessment of managed aquifer recharge site suitability using a GIS and modeling. Groundwater 53(3):389–400. https://doi.org/10.1111/gwat.12213
Saaty RW (1987) The analytic hierarchy process—what it is and how it is used. Mathematical Modelling 9(3–5):161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Sallwey J, Bonilla Valverde JP, Vasquez López F, Junghanns R, Stefan C (2019) Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies. Environ Rev 27(2):138–150. https://doi.org/10.1139/er-2018-0069
Sawatzky DL, Raines GL, Bonham-Carter, GF, Looney, CG (2004) ArcSDM2: ArcMAP extension for spatial data modelling using weights of evidence, logistic regression, fuzzy logic and neural network analysis. http://ntserv.gis.nrcan.gc.ca/sdm/. Accessed 13 Nov 2023
Shankar RMN, Mohan G (2005) A GIS-based hydrogeomorphic approach for identification of site-specific artificial-recharge techniques in the Deccan Volcanic Province. J Earth Syst Sci 114(5):505–514. https://doi.org/10.1007/BF02702026
Steinel A, Schelkes K, Subah A, Himmelsbach T (2016) Spatial multi-criteria analysis for selecting potential sites for aquifer recharge via harvesting and infiltration of surface runoff in north Jordan. Hydrogeol J 24(7):1753–1774. https://doi.org/10.1007/s10040-016-1427-6
US Geological Survey (2020) Earth resources observation and science (EROS) Centre landsat 8 OLI level 1. https://earthexplorer.usgs.gov/. Accessed 20 Sept 2021
Van Kirk RW, Contor BA, Morrisett CN, Null SE, Loibman AS (2020) Potential for managed aquifer recharge to enhance fish habitat in a regulated river. Water (switzerland) 12(3):1–21. https://doi.org/10.3390/w12030673
Verma P, Singh P, Srivastava SK (2020) Development of spatial decision-making for groundwater recharge suitability assessment by considering geoinformatics and field data. Arab J Geosci 13(8):1–18. https://doi.org/10.1007/s12517-020-05290-1
Vishwakarma A, Goswami A, Pradhan B (2021) Prioritization of sites for managed aquifer recharge in a semi-arid environment in western India using GIS-based multicriteria evaluation strategy. Groundw Sustain Dev 12:100501. https://doi.org/10.1016/j.gsd.2020.100501
Wang P (2017) Application of GIS multi-criteria decision analysis for managed aquifer suitability map** in China. Dissertation, UNESCO-IHE Institute for Water Education, Delft, Netherlands
Yaraghi N, Tabesh P, Guan P, Zhuang J (2015) Comparison of AHP and Monte Carlo AHP under different levels of uncertainty. IEEE Trans Eng Manag 62(1):122–132. https://doi.org/10.1109/TEM.2014.2360082
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The authors also thank World Vision International and Water Resources Commission, Ghana, for providing some of the data for the research.
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This work was supported by the Regional Water and Environmental Sanitation Centre Kumasi (RWESCK) at the Kwame Nkrumah University of Science and Technology, Kumasi through their ACE World Bank Project under Grant Number IDA 54320-GH.
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Adam, A.B., Appiah-Adjei, E.K., Adjei, K.A. et al. Managed aquifer recharge site suitability analysis in the Nabogo Basin of Ghana using GIS and Monte Carlo simulation-aided analytic hierarchy process. Arab J Geosci 17, 76 (2024). https://doi.org/10.1007/s12517-024-11865-z
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DOI: https://doi.org/10.1007/s12517-024-11865-z