Geomatics and Environmental Engineering, vol. 17, no. 3

Issue

Vol. 17 No. 3 (2023): Geomatics and Environmental Engineering

Date Log

Submitted
Oct 29, 2022
Accepted
Jan 13, 2023
Published
Feb 11, 2023
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)

https://doi.org/10.7494/geom.2023.17.3.83
Morad Taher
Abdelmalek Essaadi University, FSTH, Applied Geosciences and Geological Engineering Research Team, Tétouan, Morocco
https://orcid.org/0000-0002-9273-2764
Taoufik Mourabit
Abdelmalek Essaadi University, Morocco
https://orcid.org/0000-0002-5542-7074
Issam Etebaai
Abdelmalek Essaadi University, Morocco
https://orcid.org/0000-0001-5941-656X
Hinde Cherkaoui Dekkaki
Abdelmalek Essaadi University, Morocco
https://orcid.org/0000-0002-7501-0604
Najat Amarjouf
Abdelmalek Essaadi University, Morocco
https://orcid.org/0000-0002-5147-3188
Afaf Amine
Mohammed V University in Rabat, Morocco
https://orcid.org/0000-0002-9304-3987
Bourjila Abdelhak
Abdelmalek Essaadi University, Morocco
https://orcid.org/0000-0003-2592-6179
Ali Errahmouni
Abdelmalek Essaadi University, Morocco
https://orcid.org/0000-0003-0303-8971
Sadik Azzouzi
Mohammed first University, Morocco
https://orcid.org/0000-0002-3110-4262

Corresponding Author(s) : Morad Taher

m.taher@uae.ac.ma

Geomatics and Environmental Engineering, Vol. 17 No. 3 (2023): Geomatics and Environmental Engineering

Abstract

The present study aims to delineate the groundwater potential zones (GWPZ) in the Boudinar Basin using geospatial techniques and through an analytical hierarchal process (AHP) method. For multi criteria decision analysis, fifteen thematic layers were integrated into a geographic information system (GIS) environment. In this analysis, each thematic layer is calculated for normalized weights. Furthermore, the consistency index and consistency ratio were calculated to ensure that the result was significant and reliable. The GWPZ map has been categorized into three classes: poor (50.82%), moderate (49.06%), and good (<1.00%). To compare the result, we used four other scenarios of the GWPZ. Two of them are the most similar to our result. Finally, predictive groundwater production and management strategies that ensure long-term sustainability are highly needed.

Keywords

GIS remote sensing Rif belt sustainable development water scarcity
Taher, M., Mourabit, T., Etebaai, I., Cherkaoui Dekkaki, H., Amarjouf, N., Amine, A., Abdelhak, B., Errahmouni, A., & Azzouzi, S. (2023). Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco). Geomatics and Environmental Engineering, 17(3), 83–105. https://doi.org/10.7494/geom.2023.17.3.83
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. Díaz-Alcaide S., Martínez-Santos P.: Review: Advances in groundwater potential mapping. Hydrogeology Journal, vol. 27(7), 2019, pp. 2307–2324. https://doi.org/10.1007/s10040-019-02001-3.
  2. Hasanuzzaman M., Mandal M.H., Hasnine M., Shit P.K.: Groundwater potential mapping using multi – criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India. Applied Water Science, vol. 12(4), 2022, pp. 1–16. https://doi.org/10.1007/s13201-022-01584-9.
  3. Jaafarzadeh M.S., Tahmasebipour N., Haghizadeh A., Pourghasemi H.R., Rouhani H.: Groundwater recharge potential zonation using an ensemble of machine learning and bivariate statistical models. Scientific Reports, vol. 11, 2021, 5587. https://doi.org/10.1038/s41598-021-85205-6.
  4. Endalamaw N.T., Moges M.A., Kebede Y.S., Alehegn B.M., Sinshaw B.G.: Potential soil loss estimation for conservation planning, upper Blue Nile Basin, Ethiopia. Environmental Challenges, vol. 5, 2021, 100224. https://doi.org/10.1016/j.envc.2021.100224.
  5. Gómez-Escalonilla V., Martínez-Santos P., Martín-Loeches M.: Preprocessing approaches in machine-learning-based groundwater potential mapping: an application to the Koulikoro and Bamako regions, Mali. Hydrology and Earth System Sciences, vol. 26(2), 2022, pp. 221–243. https://doi.org/10.5194/hess-26-221-2022.
  6. Khan M.Y.A., Elkashouty M., Tian F.: Mapping groundwater potential zones using analytical hierarchical process and multicriteria evaluation in the Central Eastern Desert, Egypt. Water (Switzerland), vol. 14(7), 2022, 1041. https://doi.org/10.3390/w14071041.
  7. Saadi O., Nouayti N., Nouayti A., Dimane F., Elhairechi K.: Application of remote sensing data and geographic information system for identifying potential areas of groundwater storage in middle Moulouya Basin of Morocco. Groundwater for Sustainable Development, vol. 14, 2021, 100639. https://doi.org/10.1016/j.gsd.2021.100639.
  8. Nouayti A., Khattach D., Hilali M., Nouayti N.: Mapping potential areas for groundwater storage in the high Guir Basin (Morocco): Contribution of remote sensing and geographic information system. Journal of Groundwater Science and Engineering, vol. 7(4), 2019, pp. 309–322. https://doi.org/10.19637/j.cnki.2305-7068.2019.04.002.
  9. Ifediegwu S.I.: Assessment of groundwater potential zones using GIS and AHP techniques: A case study of the Lafia district, Nasarawa State, Nigeria. Applied Water Science, vol. 12(1), 2022, 10. https://doi.org/10.1007/s13201-021-01556-5.
  10. Echogdali F.Z., Boutaleb S., Kpan R.B., Ouchchen M., Bendarma A., El Ayady H., Abdelrahman K. et al.: Application of fuzzy logic and fractal modeling approach for groundwater potential mapping in Semi-Arid Akka Basin, Southeast Morocco. Sustainability, vol. 14(16), 2022, 10205. https://doi.org/10.3390/su141610205.
  11. Mall R.K., Gupta A., Singh R., Singh R.S., Rathore L.S.: Water resources and climate change: An Indian perspective. Current Science, vol. 90(12), 2006, pp. 1610–1626.
  12. Aouragh M.H., Essahlaoui A., El Ouali A., El Hmaidi A., Kamel S.: Groundwater potential of Middle Atlas plateaus, Morocco, using fuzzy logic approach, GIS and remote sensing. Geomatics, Natural Hazards and Risk, vol. 8(2), 2017, pp. 194–206. https://doi.org/10.1080/19475705.2016.1181676.
  13. Taher M., Mourabit T., Bourjila A., Saadi O., Errahmouni A., El Marzkioui F., El Mousaoui M.: An estimation of soil erosion rate hot spots by integrated USLE and GIS methods: A case study of the Ghiss Dam and Basin in Northeastern Morocco. Geomatics and Environmental Engineering, vol. 16(2), pp. 95–110, 2022. https://doi.org/10.7494/geom.2022.16.2.95.
  14. Bourjila A., Dimane F., El Ouarghi H., Nouayti N., Taher M.: Groundwater potential zones mapping by applying GIS, remote sensing and multi-criteria decision analysis in the Ghiss basin, northern Morocco. Groundwater for Sustainable Development, vol. 15, 2021, 100693. https://doi.org/10.1016/j.gsd.2021.100693.
  15. Bourjila A., Dimane F., Nouayti N., Taher M., El Ouarghi H.: Use of GIS, remote sensing and AHP techniques to delineate groundwater potential zones in the Nekor Basin, Central Rif of Morocco. [in:] GEOIT4W-2020: Proceedings of the 4th Edition of International Conference on Geo-IT and Water Resources 2020, Geo-IT and Water Resources 2020, Association for Computing Machinery, New York, pp. 1–7. https://doi.org/10.1145/3399205.3399219.
  16. Errahmouni A., Stitou El Messari J.E., Taher M.: Estimation of groundwater recharge using APLIS method – case study of Bokoya Massif (Central Rif, Morocco). Ecological Engineering & Environmental Technology, vol. 23(4), 2022, pp. 57–66. https://doi.org/10.12912/27197050/149956.
  17. Al-Gburi M.R.G., Al-Khatony S.E., Znad R.Kh., Al-Sumaidaie M.A.H.: Mapping of groundwater potential zone using GIS and remote sensing of Shwan Sub-Basin, Kirkuk, NE Iraq. Iraqi Geological Journal, vol. 55(2B), 2022, pp. 62–72. https://doi.org/10.46717/igj.55.2B.6Ms-2022-08-22.
  18. Kumar M., Singh P., Singh P.: Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India. Geocarto International, vol. 37(22), 2022, pp. 6671–6694. https://doi.org/10.1080/10106049.2021.1946170.
  19. Masoud A.M., Pham Q.B., Alezabawy A.K., Abu El-Magd S.A.: Efficiency of geospatial technology and multi-criteria decision analysis for groundwater potential mapping in a Semi-Arid Region. Water (Switzerland), vol. 14(6), 2022, 882. https://doi.org/10.3390/w14060882.
  20. Zhu Q., Abdelkareem M.: Mapping groundwater potential zones using a knowledge-driven approach and GIS analysis. Water(Switzerland), vol. 13(5), 2021, 579. https://doi.org/10.3390/w13050579.
  21. Khan M.Y.A., ElKashouty M., Subyani A.M., Tian F., Gusti W.: GIS and RS intelligence in delineating the groundwater potential zones in Arid Regions: A case study of southern Aseer, southwestern Saudi Arabia. Applied Water Science, vol. 12(1), 2022, 3. https://doi.org/10.1007/s13201-021-01535-w.
  22. Elvis B.W.W., Arsène M., Théophile N.M., Bruno K.M.E., Olivier O.A.: Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyo river basin, Méiganga area, Adamawa Cameroon. Journal of Hydrology: Regional Studies, vol. 39, 2022, 100997. https://doi.org/10.1016/j.ejrh.2022.100997.
  23. Moodley T., Seyam M., Abunama T., Bux F.: Delineation of groundwater potential zones in KwaZulu-Natal, South Africa using remote sensing, GIS and AHP. Journal of African Earth Sciences, vol. 193, 2022, 104571. https://doi.org/10.1016/j.jafrearsci.2022.104571.
  24. Ahmadi H., Kaya O.A., Babadagi E., Savas T., Pekkan E.: GIS-based groundwater potentiality mapping using AHP and FR models in Central Antalya, Turkey. Environmental Sciences Proceedings, vol. 5(1), 2021, 11. https://doi.org/10.3390/IECG2020-08741.
  25. Melese T., Belay T.: Groundwater potential zone mapping using analytical hierarchy process and GIS in Muga Watershed, Abay Basin, Ethiopia. Global Challenges, vol. 6(1), 2022, 2100068. https://doi.org/10.1002/gch2.202100068.
  26. Pathmanandakumar V., Thasarathan N., Ranagalage M.: An approach to delineate potential groundwater zones in Kilinochchi district, Sri Lanka, using GIS techniques. ISPRS International Journal of Geo-Information, vol. 10(11), 2021, 730. https://doi.org/10.3390/ijgi10110730.
  27. 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.
  28. Nithya C.N., Srinivas Y., Magesh N.S., Kaliraj S.: Assessment of groundwater potential zones in Chittar basin, Southern India using GIS based AHP technique. Remote Sensing Applications: Society and Environment, vol. 15, 2019, 100248. https://doi.org/10.1016/j.rsase.2019.100248.
  29. Rajasekhar M., Sudarsana Raju G., Sreenivasulu Y., Siddi Raju R.: Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches. HydroResearch, vol. 2, 2019, pp. 97–108. https://doi.org/10.1016/j.hydres.2019.11.006.
  30. El Ouahabi F.Z., Saint Martin S., Saint Martin J.-P., Ben Moussa A., Conesa G.: Les assemblages de diatomées du bassin messinien de Boudinar (Maroc nord-oriental). Messinian diatom assemblages from Boudinar basin (northeastern Rif, Morocco). Revue de Micropaléontologie, vol. 50(2), 2007, pp. 149–167. https://doi.org/10.1016/j.revmic.2007.02.004.
  31. Achalhi M., Münch Ph., Cornée J.-J., Azdimousa A., Melinte-Dobrinescu M., Quillévéré F., Drinia H. et al.: The late Miocene Mediterranean-Atlantic connections through the North Rifian Corridor: New insights from the Boudinar and Arbaa Taourirt basins (northeastern Rif, Morocco). Palaeogeography, Palaeoclimatology, Palaeoecology, vol. 459, 2016, pp. 131–152. https://doi.org/10.1016/j.palaeo.2016.06.040.
  32. Saaty T.L.: How to make a decision: The analytic hierarchy process. European Journal of Operational Research, vol. 48(1), 1990, pp. 9–26. https://doi.org/10.1016/0377-2217(90)90057-I.
  33. Senapati U., Kumar Das T.: GIS-based comparative assessment of groundwater potential zone using MIF and AHP techniques in Cooch Behar district, West Bengal. Applied Water Science, vol. 12(3), 2022, 43. https://doi.org/10.1007/s13201-021-01509-y.
  34. Abdelouhed F., Ahmed A., Abdellah A., Yassine B., Mohammed I.: Using GIS and remote sensing for the mapping of potential groundwater zones in fractured environments in the CHAOUIA-Morocco area. Remote Sensing Applications: Society and Environment, vol. 23, 2021, 100571. https://doi.org/10.1016/j.rsase.2021.100571.
  35. Mengistu T.D., Chang S.W., Kim I.-H., Kim M.-G., Chung I.-M.: Determination of potential aquifer recharge zones using geospatial techniques for proxy data of Gilgel Gibe Catchment, Ethiopia. Water, vol. 14(9), 2022, 1362. https://doi.org/10.3390/w14091362.
  36. Mhaske S.N., Pathak K., Dash S.S., Nayak D.B.: Assessment and management of soil erosion in the hilltop mining dominated catchment using GIS integrated RUSLE model. Journal of Environmental Management, vol. 294, 2021, 112987. https://doi.org/10.1016/j.jenvman.2021.112987.
  37. 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.
  38. Argaz A., Ouahman B., Darkaoui A., Bikhtar H., Yabsa K., Laghzal A.: Application of remote sensing techniques and GIS-multicriteria decision analysis for groundwater potential mapping in Souss Watershed, Morocco. Journal of Materials and Environmental Sciences, vol. 10(5), 2019, pp. 411–421.
  39. Rajesh J., Pande Ch.B., Kadam S.A., Gorantiwar S.D., Shinde M.G.: Exploration of groundwater potential zones using analytical hierarchical process (AHP) approach in the Godavari river basin of Maharashtra in India. Applied Water Science, vol. 11(12), 2021, 182. https://doi.org/10.1007/s13201-021-01518-x.
  40. Sarwar A., Ahmad S.R., Rehmani M.I.A., Asif Javid M., Gulzar S., Shehzad M.A., Shabbir Dar J. et al.: Mapping groundwater potential for irrigation, by geographical information system and remote sensing techniques: A case study of district Lower Dir, Pakistan. Atmosphere, vol. 12(6), 2021, 669. https://doi.org/10.3390/atmos12060669.
  41. Ghute B.B., Babar S.: An approach to mapping groundwater recharge potential zones using geospatial techniques in Kayadhu River Basin, Maharashtra. Indian Journal of Agricultural Research, vol. 55(1), 2021, pp. 23–32. https://doi.org/10.18805/IJARe.A-5477.
  42. Pande Ch.B., Moharir K.N., Panneerselvam B., Singh S.K., Elbeltagi A., Pham Q.B., Varade A.M., Rajesh J.: Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques. Applied Water Science, vol. 11(12), 2021, 186. https://doi.org/10.1007/s13201-021-01522-1.
  43. Cole D.G. [review of the book Map Use: Reading, Analysis, Interpretation, 8th Edition, by A. Jon Kimerling, Aileen R. Buckley, Phillip C. Muehrcke, and Juliana O. Muehrcke; foreword by Jack Dangermond, ESRI Press 2016]. Cartographic Perspectives, no. 88, 2017, pp. 39–42.
  44. Habib M.: Evaluation of DEM interpolation techniques for characterizing terrain roughness. Catena, vol. 198, 2021, 105072. https://doi.org/10.1016/j.catena.2020.105072.
  45. Echogdali F.Z., Boutaleb S., Bendarma A., Saidi M.E., Aadraoui M., Abioui M., Ouchchen M. et al.: Application of analytical hierarchy process and geophysical method for groundwater potential mapping in the Tata Basin, Morocco. Water, vol. 14(15), 2022, 2393. https://doi.org/10.3390/w14152393.
  46. Ahmed A., Ranasinghe-Arachchilage Ch., Alrajhi A., Hewa G.: Comparison of multicriteria decision-making techniques for groundwater recharge potential zonation: Case study of the Willochra Basin, South Australia. Water (Switzerland), vol. 13(4), 2021, 525. https://doi.org/10.3390/w13040525.
  47. Akkari D.: L’apport du système d’information géographique(SIG) dans la définition des zones de potentiel hydrique dans le bassin versant Abou Ali (Liban Nord). Journal of Alpine Research – Revue de géographie alpine, n. 110-4, 2022, pp. 1–27. https://doi.org/10.4000/rga.10015.
Read More
Author biographies is not available.
Download this PDF file
PDF
Statistic
Read Counter : 505 Download : 357

Downloads

Download data is not yet available.