International Journal of Environmental Protection          
An Open Access Journal
ISSN: 2226-6437(Print)      ISSN: 2224-7777(Online)
Frequency: Annually
Editorial-in-Chief: Prof. Kevin Mickus,
Missouri University of Science & Technology, USA.
Optimization of DRASTIC Model via Sensitivity Analysis Coupled to a GIS for Groundwater Vulnerability Assessment in Dabou Area, Ivory Coast
Full Paper(PDF, 2796KB)
The drinking water supply to the population of Dabou area is mainly based on groundwater which also represents an important reserve for the populations of the surrounding regions. However, groundwater resources are exposed to urban and agricultural pollution because of socio-economic or agricultural activities that have multiplied considerably. The present study aims to develop the vulnerability map defined for municipal and industrial pollutants and that defined for agricultural pollutants. Thus, from a GIS, the two versions of DRASTIC model (Standard and Pesticide) were optimized in two ways from the effective weights (Absolute and Relative) following the single-parameter sensitivity analysis to correct the subjectivity linked to the theoretical weights. The results revealed that Standard and Pesticide DRASTIC groundwater vulnerability maps modified from the relative effective weights are the most refined and therefore the most reliable in assessing groundwater vulnerability in this area. Modified vulnerability indices range from 95.97 to 187.42 for modified relative Standard DRASTIC groundwater vulnerability map. This map is divided into very high and high vulnerability classes (covering an area of 1961.27km2 or 80.52%), and moderate and low classes (covering only an area of 474.49km2 or 19.48%). Modified vulnerability indices range from 117.26 to 216.20 for modified relative Pesticide DRASTIC groundwater vulnerability map with very high and high classes covering an area of 2048.72km2 (84.11%) against 387.04km2 (15.89%) for moderate vulnerability class only represented in the North. Groundwater vulnerability to pollution is related to the nature of soils and formations in unsaturated zone of aquifers that are conducive to the transfer of pollutants. Modified relative Standard and Pesticide DRASTIC groundwater vulnerability maps are now innovative decision-making tools to preserve groundwater quality in land-use planning in this area.
Keywords:Groundwater Pollution; Vulnerability; DRASTIC; Sensitivity Analysis; Dabou Area
Author: Jacques Edoukou Djemin1, Germain Miessan Adja2, Kouakou Serge Deh1, Jean Kan Kouame1, Patrice Jean Jourda3
1.Laboratory of Sciences and Technologies of Water and Environment, Faculty of Mining Resources and Earth Sciences of Felix Houphouet-Boigny University, Abidjan, Ivory Coast
2.Section of Life and Earth Sciences, Faculty of Science and Technology, Higher Normal School of Abidjan, Abidjan, Ivory Coast
3.Academic Center for Research and Remote Sensing Application, Abidjan, Ivory Coast
  1. S. Javadi, N. Kavehkar, H. M. Ousavizadeh, and K. Mohammadi, “Modification of DRASTIC model to map groundwater vulnerability to pollution using nitrate measurements in agricultural areas,” Journal of Agricultural Science and Technology, vol. 13, n°2, pp. 239-249, 2011a.
  2. S. Javadi, N. Kavehkar, K. Mohammadi, A. Khodadi. and K. Kahawita, “Calibration DRASTIC using field measurements, sensitivity analysis and statistical method to assess groundwater vulnerability,” Water International, vol. 36, n°6, pp. 719-732, 2011b. DOI:
  3. F. A. L. Pacheco and L. F. Sanches-Fernandes, “The multivariate structure of DRASTIC model,” Journal of Hydrology, vol. 476, pp. 442-459, 2013. DOI:
  4. H. Huan, J. Wang, and Y. Teng, “Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case study in Jilin City of northeast China,” Science of the Total Environment, 2012. Article online first available, DOI:
  5. O. O Ojuri and T. O. Bankole, “Groundwater vulnerability assessment and validation for a fast growing city in Africa: A case study of Lagos, Nigeria,” Journal of Environmental Protection, vol. 4, pp. 454-465, 2013.
  6. A. Neshat, B. Pradhan, S. Pirasteh, and M. Z. H. Shafri, “Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran,” Environmental Earth Sciences, ISSN 1866-6280, 2014. Online first, DOI:
  7. L. Goodarzi and S. Javadi, “Assessment of aquifer vulnerability using the DRASTIC model; A case study of the Dezful- Andimeshk aquifer,” Computational Research Progress in Applied Science & Engineering, vol. 2, n°1, pp. 17-22, 2016.
  8. P. J. Jourda, J. K. Kouamé, B. M. Saley, F. K. Kouamé, H. B. Kouadio, and K. Kouamé, “A new cartographic approach to determine the groundwater vulnerability of the Abidjan aquifer” Groundwater Pollution in Africa, Edited by Yongxin, And Brent U., Taylor & Francis/Balkema, Great-Britain, pp. 103-114, 2006.
  9. A. M. Ahmed, “Using Generic and Pesticide DRASTIC GIS-based models for vulnerability assessment of the Quaternary aquifer at Sohag, Egypt” Hydrogeology Journal, vol. 17, pp. 1203-1217, 2009. DOI:
  10. A. M. Ahmed, “Assessment of intrinsic vulnerability to contamination for the Alluvial Aquifer in El-Fayoum depression using the DRASTIC method,” Journal of Radiation Research and Applied Sciences, vol. 5, n°4, pp. 743-768, 2012.
  11. B. Dibi, I. K. Kouamé, B. A. Konan-Waidhet, I. Savané, J. Biémi, V. Nedeff, and G. Lazar, “Impact of agriculture on the quality of groundwater resources in peri-urban zone of Songon (Côte d’Ivoire),” Environmental Engineering and Management Journal, vol. 11, n°12, pp. 2173-2182, 2012.
  12. A. EL-Naqua, N. Hammouri, and M. Kuisi, “GIS-based evaluation of groundwater vulnerability in the Russeifa area, Jordan” Revista Mexicana de Ciencias Geológicas, vol. 23, n°3, pp. 277-287, 2006.
  13. S. Saidi, S. Bouri, and H. Ben-Dhia “Sensitivity analysis in groundwater vulnerability assessment based on GIS in the Mahdia-Ksour Essaf aquifer, Tunisia: a validation study,” Hydrological Sciences Journal, vol. 56, n°2, pp. 288-304, 2011. DOI:
  14. I. Hentati, M. Zaïri, and B. H. Dhia, “Utilisation des SIG pour l’évaluation de la vulnérabilité environnementale des aquifères phréatiques : Cas de la nappe de Sfax Agareb (Sud-Est tunisien)” Dans SIG 2005, Conférence Francophone ESRI 2005, 5 et 6 Octobre à - Issy-les-Moulineaux (France).
  15. A. S. Tapsoba, “Contribution à l’étude géologique et hydrogéologique de la région de Dabou (Sud de la Côte d’Ivoire): Hydrochimie, isotopie et indice cationique de vieillissement des eaux souterraines,” Thèse de Doctorat de 3ème cycle, Université nationale de Côte d’Ivoire, 200p, 1995.
  16. A. Haouchine, A. Boudoukha, Z. F. Haouchine, and R. Nedjaï, “Cartographie de la recharge potentielle des aquifères en zone aride : Cas de la plaine d’El Outaya, Biskra-Algérie,” Eurojournal, vol. 45, n°4, pp. 1-13, 2010.
  17. L. Aller, T. Bennett, J. Lehr, J. R. Petty, and G. Hackett, “DRASTIC: A Standardized Method for Evaluating Ground Water Pollution Potential Using Hydrogeological Settings,” EPA/600/2–87/035, US Environmental Protection Agency, Ada (Oklahoma), 622 p, 1987.
  18. P. Napolitano and G. A. Fabbri, “Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS,” In: Kovar K. and Nachtnebel H. P., Eds., HydrolGis Application of Geographic Information Systems in Hydrology and Water Resources Management, IAHS Publication, vol. 235, pp. 559-566, 1996.
  19. J. E. Djemin, J. K. Kouame, K. S. Deh, A. T. Abinan, and J. P. Jourda “Contribution of the sensitivity analysis in groundwater vulnerability assessing using the DRASTIC method: Application to groundwater in Dabou Region (Southern of Côte d’Ivoire)” Journal of Environmental Protection, vol.7, pp. 129-143, 2016. DOI:
  20. R. C. Gogu and A. Dassargues “Sensitivity analysis for the EPIK method of vulnerability assessment in a small karstic aquifer, southern Belgium” Hydrogeology Journal, vol. 8, pp. 337–345, 2000
  21. I. S. Babiker, A. A. M. Mohamed, T. Hiyama, and K. Kato, “A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, Central Japan,” Science of the Total Environment, vol. 345, n°1-3, pp. 127-140, 2005. DOI: http//
  22. G. Bartzas, F. Tinivella, L. Medini, D. Zaharaki, and K. Komnitsas “Assessment of groundwater contamination risk in an agricultural area in north Italy” Information Processing in Agriculture, vol. 2, pp. 109-129, 2015.
  23. A. M. Al-Abadi, A. M. Al-Shamma’a, and M. H. Aljabbari “A GIS-based DRASTIC model for assessing intrinsic groundwater vulnerability in northeastern Missan governorate, southern Iraq” Appl Water Sci, vol. 7, pp. 89-101, 2017
  24. L. M. Lima, K. Zelaya, and H. Massone “Groundwater Vulnerability Assessment Combining the Drastic and Dyna-Clue Model in the Argentine Pampas,” Environmental Management, vol. 47, pp. 828–839, 2011. DOI:
  25. I. K. Kouamé, A. G. Douagui, K. Koffi, B. Dibi, L. K. Kouassi, and I. Savané, “Modeling of quaternary groundwater pollution risk by GIS and multicriteria analysis in the southern part of Abidjan District (Côte d’Ivoire),” Journal of Environmental Protection, vol. 4, pp. 1213-1223, 2013. DOI:
  26. I. Doumouya, B. Dibi, I. K. Kouamé, B. M. Saley, P. J. Jourda, I. Savané, and J. Biémi, “Modelling of favorable 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),” Environment Earth Sciences, vol. 54, n°4, pp. 1763-1780, 2012. DOI: http//
  27. O. T. Abdullah, S. S. Ali, A. N. Al-Ansari, and S. Knutsson “Assessing the vulnerability of groundwater to pollution using DRASTIC and VLDA models in Halabja Saidsadiq Basin, NE, Iraq,” Journal of Civil Engineering and Architecture, vol. 10, pp. 1144-1159, 2016. DOI: