Geomatics and Environmental Engineering, vol. 18, no. 4

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Vol. 18 No. 4 (2024): Geomatics and Environmental Engineering

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Submitted
Oct 14, 2023
Accepted
Aug 12, 2024
Published
Sep 27, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Delineation of Groundwater Storage and Recharge Potential Zones Using Multi-Influencing Factors (MIF) Method: Application in Synclinal Coastal Basin of Essaouira (Western High Atlas of Morocco)

https://doi.org/10.7494/geom.2024.18.4.117
Saloua Agli
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0009-0008-3672-0081
Algouti Ahmed
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0000-0002-2344-0821
Algouti Abdellah
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0000-0001-7501-5221
Farah Abdelouahed
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0000-0001-6302-4622
Said Moujane
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0009-0001-9109-9610
Kabili Salma
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0009-0004-0979-2304
Errami Maryam
Cadi Ayyad University, Faculty of Sciences Semlalia, Marrakesh, Morocco
https://orcid.org/0000-0002-0452-6996

Corresponding Author(s) : Saloua Agli

saloua.agli@gmail.com

Geomatics and Environmental Engineering, Vol. 18 No. 4 (2024): Geomatics and Environmental Engineering

Abstract

Unpredictable rainfall caused by climate change and pollution directly impacts groundwater demand, making the exploitation of groundwater reserves necessary. To achieve this, a study in the synclinal basin of Essaouira (Western High Atlas) used GIS, remote sensing, and the Multi-Influencing Factors (MIF) method, to identify areas ideal for the installation of productive wells. An overlay analysis created a groundwater potential zone (GWPZ) map, showing 30% of the basin with high potential, 51% with moderate potential, and 19% with low to very low potential. The groundwater potential zone map was validated using geophysical surveys, piezometric data, and well water levels, showing a 69.3% prediction accuracy with the ROC curve.

Keywords

groundwater potential zone Essaouira remote sensing GIS multi-influencing factors (MIF) ROC
Agli, S., Ahmed, A., Abdellah, A., Abdelouahed, F., Moujane, S., Salma, K., & Maryam, E. (2024). Delineation of Groundwater Storage and Recharge Potential Zones Using Multi-Influencing Factors (MIF) Method: Application in Synclinal Coastal Basin of Essaouira (Western High Atlas of Morocco). Geomatics and Environmental Engineering, 18(4), 117–145. https://doi.org/10.7494/geom.2024.18.4.117
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References
  1. Arabameri A., Rezaei K., Cerda A., Lombardo L., Rodrigo-Comino J.: GISbased groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches. Science of the Total Environment, vol. 658, 2019, pp. 160–177. https://doi.org/10.1016/j.scitotenv.2018.12.115.
  2. Andualem T.G., Demeke G.G.: Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia. Journal of Hydrology: Regional Studies, vol. 24, 2019, 100610. https://doi.org/10.1016/j.ejrh.2019.100610.
  3. Mandal P., Saha J., Bhattacharya S., Paul S.: Delineation of groundwater potential zones using the integration of geospatial and MIF techniques: A case study on Rarh region of West Bengal, India. Environmental Challenges, vol. 5, 2021, 100396. https://doi.org/10.1016/j.envc.2021.100396.
  4. Bahir M., Mennani A., Jalal M., Youbi N.: Ressources hydriques du bassin synclinal d’Essaouira (Maroc). Estudios Geológicos, vol. 56(3–4), 2000, pp. 185–195. https://doi.org/10.3989/egeol.00563-4150.
  5. Bahir M.M., Yeo D.C.J.: The gecarcinucid freshwater crabs of southern India (Crustacea: Decapoda: Brachyura). Raffles Bulletin of Zoology, vol. 16, 2007, pp. 309–354.
  6. Mangoua M.J., Dibi B., Koblan E.W., Douagui G.A., Kouassi K.A., Savané I., Biémi J.: Map of potential areas of groundwater by the multi-criteria analysis for the needs for water of the Baya’s catchment basin (East of Côte d’Ivoire). African Journal of Agricultural Research, vol. 9(45), 2014, pp. 3319–3329.
  7. Dar T., Rai N., Bhat A.: Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP). Geology, Ecology, and Landscapes, vol. 5(4), 2021, pp. 292–307. https://doi.org/10.1080/24749508.2020.1726562.
  8. Abijith D., Saravanan S., Singh L., Jennifer J.J., Saranya T., Parthasarathy K.S.S.: GIS-based multi-criteria analysis for identification of potential groundwater recharge zones-a case study from Ponnaniyaru watershed, Tamil Nadu, India. HydroResearch, vol. 3, 2020, pp. 1–14. https://doi.org/10.1016/j.hydres.2020.02.002.
  9. Kaewdum N., Chotpantarat S.: Mapping potential zones for groundwater recharge using a GIS technique in the lower Khwae Hanuman Sub-Basin Area, Prachin Buri Province, Thailand. Frontiers in Earth Science, vol. 9, 2021, 717313. https://doi.org/10.3389/feart.2021.717313.
  10. Gonçalves J.A.C., Pereira P.H.R., Vieira E.M.: Evaluation of the groundwater recharge potential using GIS multi-criteria data analysis: a case study from district of Itabira, Minas Gerais, southeastern Brazil. Ciência e Natura, vol. 42, 2020, e84. https://doi.org/10.5902/2179460X40433.
  11. Shekhar S., Pandey A.C.: Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques. Geocarto International, vol. 30(4), 2014, pp. 402–421. https://doi.org/10.1080/10106049.2014.894584.
  12. Islam M.R., Islam M.R., Imran H.M.: Assessing wind farm site suitability in Bangladesh: A GIS-AHP approach. Sustainability, vol. 14(22), 2022, 14819. https://doi.org/10.3390/su142214819.
  13. Al-Kindi K.M., Janizadeh S.: Machine learning and hyperparameters algorithms for identifying groundwater aflaj potential mapping in semi-arid ecosystems using LiDAR, Sentinel-2, GIS data, and analysis. Remote Sensing, vol. 14(21), 2022, 5425. https://doi.org/10.3390/rs14215425.
  14. Sutradhar S., Mondal P., Das N.: Delineation of groundwater potential zones using MIF and AHP models: A micro-level study on Suri Sadar Sub-Division, Birbhum District, West Bengal, India. Groundwater for Sustainable Development, vol. 12, 2021, 100547. https://doi.org/10.1016/j.gsd.2021.100547.
  15. Kom K.P., Gurugnanam B., Sunitha V.: Delineation of groundwater potential zones using GIS and AHP techniques in Coimbatore district, South India. International Journal of Energy and Water Resources, vol. 8, 2024, pp. 85–109. https://doi.org/10.1007/s42108-022-00188-y.
  16. Rajasekhar M., Upendra B., Raju G.S., Anand: Identification of groundwater potential zones in southern India using geospatial and decision-making approaches. Applied Water Science, vol. 12(4), 2022, 68. https://doi.org/10.1007/s13201-022-01603-9.
  17. Jena S., Panda R.K., Ramadas M., Mohanty B.P., Pattanaik S.K.: Delineation of groundwater storage and recharge potential zones using RS-GIS-AHP: Application in arable land expansion. Remote Sensing Applications: Society and Environment, vol. 19, 2020, 100354. https://doi.org/10.1016/j.rsase.2020.100354.
  18. Raju R.S., Raju G.S., Rajasekhar M.: Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques. HydroResearch, vol. 2, 2019, pp. 1–11. https://doi.org/10.1016/j.hydres.2019.09.001.
  19. Cochet A., Combe M.: Bassin d’Essaouira-Chichaoua et zone côtière d’Essaouira. Notes et Mémoires du Service Géologique, vol. 231, 1975, pp. 433–446.
  20. Ouzerbane Z., Boughalem M., El Hmaidi A., Essahlaoui A., Najine A., Aifa T., Redouani F., El Oualiet A.: Évaluation des facteurs physiographiques et leurs impacts sur les ressources en eau dans les bassins versants d’Essaouira (Essaouira, Maroc). Journal International Sciences et Technique de l’Eau et de l’Environnement, vol. 3(1), 2018, pp. 29–37.
  21. Ouzerbane Z., Aïfa T., El Hmaidi A., Essahlaoui A., Najine A.: A geoelectric study of aquifers in the Essaouira coastal region, Morocco. Journal of African Earth Sciences, vol. 183, 2021, 104309. https://doi.org/10.1016/j.jafrearsci.2021.104309.
  22. Dahaoui M., AIT Brahim L., El Adraoui A., Abdelouafi A., Dakki M., El Imrani A.: Superficial structures cartography of the Essaouira basin underground (Morocco), by small refraction seismic: contribution of the static corrections in the reinterpretation of the speed’s variations. MATEC Web of Conferences, vol. 149, 2018, 02080. https://doi.org/10.1051/matecconf/201814902080.
  23. Oularé S., Kouamé F.K., Saley M.B., Aké G.É., Adja G.M., Kouamé A.K., Therrien R.: Estimation et validation de la profondeur des nappes du bassin du N’zo, en Côte d’Ivoire, par le modèle WTR. Physio-Géo: Géographie Physique et Environnement, vol. 8, 2014, pp. 1–25. https://doi.org/10.4000/physio-geo.3752.
  24. Lebaut S., Manceau L.: Potentialités des images Landsat pour l’identification et la délimitation de zones humides à l’échelle régionale: l’exemple de l’Est de la France. Physio-Géo: Géographie Physique et Environnement, vol. 9, 2015, pp. 125–140. https://doi.org/10.4000/physio-geo.4563.
  25. Zoraa N., Raji M., El Hadi H., Maimouni S., Si Mhamdi H., Reddad A., Zahour G., Ait-Yazza A.: Mapping and assessment of geological lineaments with the contribution of earth observation data: A case study of the Zaer Granite Massif, Western Moroccan Meseta. Geomatics and Environmental Engineering, vol. 17(5), 2023, pp. 107–144. https://doi.org/10.7494/geom.2023.17.5.107.
  26. Krishnamurthy J., Mani A., Jayaraman V., Manivel M.: Groundwater resources development in hard rock terrain-an approach using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, vol. 2(3–4), 2000, pp. 204–215. https://doi.org/10.1016/S0303-2434(00)85015-1.
  27. Shaban A., Khawlie M., Abdallah C.: Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeology Journal, vol. 14, 2006, pp. 433–443. https://doi.org/10.1007/s10040-005-0437-6.
  28. Koudou A., Adiaffi B., Soro T., Konan B.R., Coulibaly K.A.: Analyse multicritère couplée au radiocarbone en contexte de variabilité climatique pour l’identification des zones potentielles de recharge des aquifères fracturés du Sud-Est de la région de la Nawa (Côte d’Ivoire). Estudios Geológicos, vol. 78(2), 2022, e146. https://doi.org/10.3989/egeol.44671.616.
  29. Jasrotia A.S., Bhagat B.D., Kumar A., Kumar R.: Remote sensing and GIS approach for delineation of groundwater potential and groundwater quality zones of Western Doon Valley, Uttarakhand, India. Journal of the Indian Society of Remote Sensing, vol. 41, 2013, pp. 365–377. https://doi.org/10.1007/s12524-012-0220-9.
  30. Saraf A.K., Choudhury P.R.: Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of Remote Sensing, vol. 19(10), 1998, pp. 1825–1841. https://doi.org/10.1080/014311698215018.
  31. Abdelouhed F., Ahmed A., Abdellah A., Yassine B., Mohammed I.: GIS and remote sensing coupled with analytical hierarchy process (AHP) for the selection of appropriate sites for landfills: A case study in the province of Ouarzazate, Morocco. Journal of Engineering and Applied Science, vol. 69(1), 2022, 19. https://doi.org/10.1186/s44147-021-00063-3.
  32. Abdelouhed F., Ahmed A., Abdellah A., Mohammed I.: Lineament mapping in the Ikniouen area (eastern anti-atlas, Morocco) using Landsat-8 Oli and SRTM data. Remote Sensing Applications: Society and Environment, vol. 23, 2021, 100606. https://doi.org/10.1016/j.rsase.2021.100606.
  33. Magesh N.S., Chandrasekar N., Soundranayagam J.P.: Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience frontiers, vol. 3(2), 2012, pp. 189–196. https://doi.org/10.1016/j.gsf.2011.10.007.
  34. Ta M.Y., Lasm T., Adja G.M., Kouamé K.J., Biémi J.: Cartographie des eaux souterraines en milieu fissuré par analyse multicritère. Cas de Bondoukou (Côted’Ivoire). Revue Internationale de Géomatique, vol. 21(1), 2011, pp. 43–71. https://doi.org/10.3166/rig.21.43-71.
  35. Koudou A., Assoma T.V., Adiaffi B., Ta M.Y., Kouame K.F., Lasm T.: Analyses statistique et géostatistique de la fracturation extraite de l’imagerie ASAR ENVISAT du Sud-Est de la Côte d’Ivoire. LARHYSS Journal, vol. 11(4), 2014, pp. 147–166.
  36. Ambroggi R.: Étude géologique du versant méridional du Haut Atlas occidental et de la plaine du Souss. Notes et Mémoires du Service Géologique, no 157, Éditions de la Division de la géologie, Rabat 1963.
  37. Baumgartner M.F., Schultz G.A., Johnson A.I. (eds.): Remote Sensing and Geographic Information Systems for Design and Operation of Water Resources Systems. IAHS Publication, no. 242, IAHS, Wallingford 1997.
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