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Modelling of favourable zones for the establishment of water points by geographical information system (GIS) and multicriteria analysis (MCA) in the Aboisso area (South-east of Côte d’Ivoire)

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Abstract

Aboisso is faced with drinking water supply problems despite its abundant rainfall (2,000 mm/year) and large river assets. These difficulties are exacerbated by the existence of large pollution sources caused by agro-industrial plantations. This paper mainly deals with the combined approach of geographic information systems and multicriteria analysis to delineate potential groundwater zones in the Aboisso area. The multicriteria analysis method includes both Boolean method and the linear combination of weights based on the comparison per pair. Two types of indicator were used: the evaluation indicators, which combine accessibility, exploitability and availability of the groundwater, and the monitoring indicator, which is represented by groundwater vulnerability to pollution. It appears that the favourable zones for water point establishment represent 54 % of the Aboisso area. This class is distributed throughout the area, with an exception in the East. The uncertainty and sensitivity analyses indicate that parameters causing high sensitivity on the potentiality map are made up of the slope, the total depth and the induced permeability while the topography and depth are the most sensitive parameters for the vulnerability map. This study appears to be a substantial contribution to overcoming the problem of drinkable water, which the rural populations were facing.

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References

  • Aller L, Bennett T, Lehr JH, Petty RJ, Hackett G (1987) DRASTIC: a standardised system for evaluating groundwater pollution potential using hydrogeology settings. EPA, Ada

    Google Scholar 

  • Anbazhagan S, Ramasamy SM, Das Gupta S (2005) Remote sensing and GIS for artificial recharge study, runoff estimation and planning in Ayyar basin, Tamil Nadu, India. Environ Geol 48:158–170. doi:10.1007/s00254-005-1284-4

    Article  Google Scholar 

  • Antonakos AK, Lambrakis NJ (2007) Development and testing of three hybrid methods for the assessment of aquifer vulnerability to nitrates, based on the drastic model, an example from NE Korinthia, Greece. J Hydrol 333:288–304

    Article  Google Scholar 

  • Assaf H, Saadeh M (2008) Geostatistical assessment of groundwater nitrate contamination with reflection on DRASTIC vulnerability assessment: the case of the Upper Litani Basin Lebanon. Water Resour Manag 23(4):775–796. doi:10.1007/s11269-008-9299-8

    Article  Google Scholar 

  • Bailey RG (1988) Problems with using overlay mapping for planning and their implications for Geographic Information Systems. Environ Manage 12(1):11–17

    Google Scholar 

  • Babiker IS, Mohammed MAA, Hiyama T, Kato K (2005) A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Sci Total Environ 345:127–140

    Article  Google Scholar 

  • Baka D, Lasm T, Oga MS, Youan MT, De O, Kouakou OS, Ettien BF (2011) Characterization of transmissivity in the fractured reservoirs in the Oume area (Centre of Côte d’Ivoire). Am J Sci Ind Res 2(2):310–322

    Google Scholar 

  • Banks D, Solbjorg ML, Rohr-Torp E (1992) Permeability of fracture zones in a Precambrian granite. Q J Eng Geol 25:377–388

    Article  Google Scholar 

  • Bilgehan N, Tayfun C, Fatih I, Ali B (2010) Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environ Monit Assess 160:491–500. doi:10.1007/s10661-008-0713-8

    Article  Google Scholar 

  • Boutt DF, David WH, Bryan CP, David TL (2001) Identifying potential land use-derived solute sources to stream baseflow using ground water models and GIS. Ground Water 39:24–34

    Article  Google Scholar 

  • De Araujo CC, Macedo AB (2002) Multicriteria geologic data analysis for mineral favourability mapping: application to a metal sulphide mineralized area, Ribeira Valley Metallogenic Province, Brazil. Nat Resour Res 11(1):29–43

    Article  Google Scholar 

  • Debernardi L, Domenico ADL, Lasagna M (2007) Correlation between nitrate concentration in groundwater and parameters affecting aquifer intrinsic vulnerability. Environ Geol. doi:10.1007/s00254-007-1006-1

  • Denny SC, Allen DM, Journeay JM (2007) DRASTIC-Fm: a modified vulnerability mapping method for structurally controlled aquifers in the southern Gulf Islands, British Columbia, Canada. Hydrogeol J 15:483–493. doi:10.1007/s10040-006-0102-8

    Article  Google Scholar 

  • DHH (2001) (Direction de l’Hydraulique Humaine) Bilan diagnostic et redynamisation du dispositif de maintenance des pompes manuelles. Séminaire de réflexion sur la maintenance des pompes d’hydraulique villageoise

  • Dibi B, Doumouya I, Konan-Waidhet AB, Kouame KI, Angui KT, Issiaka S (2010) Assessment of groundwater potential zone in hard rock through the application of GIS: the case of Aboisso area (South-east of Cote d’Ivoire). J Appl Sci 10(18):2058–2067

    Article  Google Scholar 

  • Eastman JR (1997) Idrisi for Windows, User’s Guide, version 2.0: Clark Labs for Cartographic Technology and Geographic Analysis. Clark University, Worcester

  • El-Naqa A, Hammouri N, Kuisi M (2006) GIS-based evaluation of groundwater vulnerability in the Russeifa area, Jordan. Rev Mex de Cienc Geol 23(3):277–287

    Google Scholar 

  • Ettazarini S, El Mahmouhi N (2004) Vulnerability mapping of the Turonian limestone aquifer in the Phosphates Plateau (Morocco). Environ Geol 46:113–117. doi:10.1007/s00254-004-1022-3

    Google Scholar 

  • Franciss O (1970) Contribution à l’étude du mouvement de l’eau à travers les milieux fissurés. Géomorphologie et géologie du Brésil. Thèse de Doctorat d’Ingénieur, Faculté des Sciences, Université de Grenoble

  • Gemitzi A, Petalas C, Tsihrintzis VA, Pisinaras V (2006) Assessment of groundwater vulnerability to pollution: a combination of GIS, fuzzy logic and decision-making techniques. Environ Geol 49:653–673. doi:10.1007/s00254-005-0104-1

    Article  Google Scholar 

  • Gombert P (1997) Variabilité spatiale de la productivité aquifère du socle sahélien en hydraulique rurale. Hard Rock hydrosystems. IAHS 241:113–122

    Google Scholar 

  • Gomezdelcampo E, Dickerson JR (2007) A modified DRASTIC model for Siting confined animal feeding operations in Williams County, Ohio, USA. Environ Geol. doi:10.1007/s00254-007-1133-8

  • Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resource planning and management. Water Resour Manage 21:1553–1566. doi:10.1007/s11269-006-9112-5

    Article  Google Scholar 

  • Heuvelink GBM, Burrough PA, Stein A (1989) Propagation of errors in spatial modelling with GIS. Int J Geogr Inform Syst 3(4):303–322

    Article  Google Scholar 

  • Hirdes W, Konan KG, N’da D, Okou A, Sea P, Zamble ZB (2004) Carte géologique de la Côte d’Ivoire au 1/100000. Partie Nord de la zone d’Aboisso. Feuille Grand Bassam, Coupures 4a, b, b bis

  • Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development—an approach. Int J Remote Sens 24:993–1008

    Article  Google Scholar 

  • Jamrah A, Al-Futaisi A, Rajmohan N, Al-Yaroubi S (2007) Assessment of groundwater vulnerability in the coastal region of Oman using the DRASTIC index method in a GIS environment. Environ Monit Assess. doi:10.1007/s10661-007-0104-6

  • Jourda JPR, Saley MB, Djagoua EM, Kouamé KJ, Biémi J, Razack M (2006) Utilisation des données ETM+ de Landsat et d’un SIG pour l’évaluation du potentiel en eau souterraine dans le milieu fissuré précambrien de la région de Korhogo (Nord de la Côte d’Ivoire): Approche par analyse multicritère et test de validation. Télédétection 5(4):339–357

    Google Scholar 

  • Krishnamurthy J, Venkatesa Kumar N, Jayaraman V, Manuvel M (1996) An approach to demarcating groundwater potential zones through remote sensing and a geographical information system. Int J Remote Sens 17(10):1867–1884

    Article  Google Scholar 

  • Lodwick WA, Monson W, Svoboda L (1990) Attribute error and sensitivity analysis of map operations in geographical information systems: suitability analysis. Int J Geogr Inform Syst 4(4):413–428. doi:10.1080/02693799008941556

    Article  Google Scholar 

  • Madrucci V, Taioli F, De Araújo CC (2008) Groundwater favourability map using GIS multicriteria data analysis on crystalline terrain, São Paulo State, Brazil, J Hydrol. doi:10.1016/j.jhydrol.2008.03.026

  • Mendoza JA, Barmen G (2006) Assessment of groundwater vulnerability in the Rio Artiguas basin. Nicaragua Environ Geol 50:569–580. doi:10.1007/s00254-006-0233-1

    Article  Google Scholar 

  • Murthy KSR (2000) Groundwater potential in a semi-arid region of Andhra Pradesh: a geographical information system approach. Int J Remote Sens 21(9):1867–1884

    Article  Google Scholar 

  • Napolitano P, Fabbri AG (1996) Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. HydroGIS 96: application of geographic information systems in hydrology and water resources management (proceedings of the vienna conference). IAHS Publ 235:559–566

    Google Scholar 

  • Neves MA, Morales N (2007) Well productivity controlling factors in crystalline terrains of southeastern Brazil. Hydrogeol J 15:471–482. doi:10.1007/s0040-006-0112-6

    Article  Google Scholar 

  • Novaline J, Saibaba J, Prasada RP (1999) Groundwater modelling for sustainable development using GIS techniques. Preconference volume 264–267 Geoinformetis Beyond 2000, Dehradun, India

  • Obi RGP, Chandra MK, Srivastav SK, Srinivas CV, Maji AK (2000) Evaluation of groundwater potential zones using remote sensing data—a case study of Gaimukh watershed, Bhandara district, Maharashtra. J Indian Soc Remote Sens 28(1):19–32

    Article  Google Scholar 

  • Panagopoulos GP, Antonakos AK, Lambrakis NJ (2006) Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS. Hydrogeol J 14:894–911. doi:10.1007/s10040-005-0008-x

    Article  Google Scholar 

  • Prasad RK, Mondal NC, Pallavi B, Nandakumar MV, SINGH VS (2008) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ Geol 55:467–475. doi:10.1007/s00254-007-0992-3

    Article  Google Scholar 

  • Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281

    Article  Google Scholar 

  • Samake MH, Laing ZT, Ndoh MWI, Kasereka K, Balogun WO (2011) Groundwater vulnerability assessment in shallow aquifers in Linfen Basin, Shanxi Province, China using DRASTIC model. J Sustain Dev 4(1):53–71

    Google Scholar 

  • Saraf AK, Choudhury PR, Roy B, Sarma B, Vijay S, Choudhury S (2004) GIS based surface hydrological modelling in identification of groundwater recharge zones. Int J Remote Sens 25(24):5759–5770

    Article  Google Scholar 

  • Sener B, Lutfi SM, Doyuran V (2006) Landfill site selection by using geographic information systems. Environ Geol 49:376–388. doi:10.1007/s00254-005-0075-2

    Article  Google Scholar 

  • Shankar RMN, Mohan G (2006) Assessment of the groundwater potential and quality in the Bhatsa and Kalu river basins of Thane district, western Deccan Volcanic Province of India. Environ Geol 49: 990–998. doi:10.1007/s00254-005-0137-5

    Google Scholar 

  • Sinan M, Razack M (2008) An extension to the DRASTIC model for assessing groundwater vulnerability to pollution: application to the Haouz aquifer of Marrakech (Morocco). Environ Geol. doi:10.1007/s00254-008-1304-2

  • Tudes S, Duygu AY (2009) Preparation of land use planning model using GIS based on AHP: case study Adana-Turkey. Bull Eng Geol Environ. doi:10.1007/s10064-009-0247-5

  • Uddameri V, Honnungar V (2006) Combining rough sets and GIS techniques to assess aquifer vulnerability characteristics in semi-arid South Texas. Environ Geol 51:931–939. doi:10.1007/s00254-006-0456-1

    Article  Google Scholar 

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Acknowledgments

Our thanks go to the Centre of Regional Water Supply and Sanitation, Cote d’Ivoire (CRWSS-CI) and the Director General of Geology who took an active part in carrying out this project. We are grateful to the village community which facilitated the success of this project.

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Correspondence to Kouassi Innocent Kouame.

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Doumouya, I., Dibi, B., Kouame, K.I. et al. Modelling of favourable zones for the establishment of water points by geographical information system (GIS) and multicriteria analysis (MCA) in the Aboisso area (South-east of Côte d’Ivoire). Environ Earth Sci 67, 1763–1780 (2012). https://doi.org/10.1007/s12665-012-1622-2

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