Skip to main content

Advertisement

Log in

Drastic model application to groundwater vulnerability elucidation for decision making: the case of south western coastal basin, Ghana

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

The health of the population is intertwined with the availability and supply of potable water. With many people around the world resorting to groundwater resources as a source potable water supply, it becomes imperative that the state of groundwater susceptibility to contamination is known. The DRASTIC model has been applied to determine the state of aquifer vulnerability to contaminants. The seven hydrogeological parameters were considered in the standard model and the resulting vulnerability, DI were classified into three vulnerability zones; low, moderate and high. The model was then modified to include land use/land cover (LU) and lineament density (LIN) parameters and net recharge (rm). The modified vulnerability indices were designated as DI-LU, DI-LIN, DIrm and MDI (combined modification). The results revealed the land area under high vulnerability under DI, DI-LU, DI-LIN, DIrm and MDI were 32.2, 26.2, 33.7, 26.2 and 40.4% respectively. There were no significant difference between the standard moderate vulnerability class and the modified derivatives (DI + LU, DI + Lin). The combined modification (MDI) however led to 17% decrease in this class of vulnerability. The model was validated using a nitrate concentration of 36 samples collected for the purpose. The validation assessment revealed that the performance of the model was improved with modification.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Agyare A, Anornu GK, Kabo-bah AT (2017) Assessing the vulnerability of aquifer systems in the Volta river basin: a case-study on Afram Plains, Ghana. Model Earth Syst Environ 3(3):1141–1159. https://doi.org/10.1007/s40808-017-0363-3

    Article  Google Scholar 

  • Albuquerque MTD, Sanz G, Oliveira SF, Martínez-Alegría R, Antunes IMHR (2013) Spatio-temporal groundwater vulnerability assessment—a coupled remote sensing and GIS approach for historical land cover reconstruction. Water Resour Manag 27(13):4509–4526. https://doi.org/10.1007/s11269-013-0422-0

    Article  Google Scholar 

  • Aller L, Bennett T, Lehr JH, Petty RJ, Hackett G (1987) DRASTIC: a standardized system for evaluating groundwater pollution potential using hydrogeologic settings. US EPA, Robert S. Kerr Environmental Research Laboratory, Ada, OK

  • Anornu GK, Kabo-bah AT, Anim-Gyampo M (2012) Evaluation of groundwater vulnerability in the Densu river basin of Ghana. Am J Hum Ecol 1(3):79–86. https://doi.org/10.11634/216796221403191

    Article  Google Scholar 

  • Asiedu DK, Atta-Peters D, Peprah R (2000) Depositional environment of the Takoradi Sandstone formation of the Sekondian Group, western Ghana, as revealed by textural analysis. Ghana Min J 6:53–58

    Google Scholar 

  • Asiedu DK, Hegner E, Rocholl A, Atta-Peters D (2005) Provenance of late Ordovician to early Cretaceous sedimentary rocks from southern Ghana, as inferred from Nd isotopes and trace elements. J Afr Earth Sc 41(4):316–328

    Article  Google Scholar 

  • Atta-Peters D (2000) Early Cretaceous miospores from Essikado sandstone formation of the Sekondian Group of Ghana. Revista española de micropaleontología 32(2):245–258

    Google Scholar 

  • Awawdeh MM, Jaradat RA (2010) Evaluation of aquifers vulnerability to contamination in the Yarmouk River basin, Jordan, based on DRASTIC method. Arab J Geosci 3(3):273–282. https://doi.org/10.1007/s12517-009-0074-9

    Article  Google Scholar 

  • Babiker IS, Mohamed MA, 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(1–3):127–140

    Article  Google Scholar 

  • Barbash JE, Resek EA (1996) Pesticides in ground water: distribution, trends, and governing factors. Ann Arbor Press, Chelsea

    Google Scholar 

  • Bordbar M, Neshat A, Javadi S (2019) A new hybrid framework for optimization and modification of groundwater vulnerability in coastal aquifer. Environ Sci Pollut Res 26(21):21808–21827. https://doi.org/10.1007/s11356-019-04853-4

    Article  Google Scholar 

  • Buamah R, Petrusevski B, Schippers JC (2008) Presence of arsenic, iron and manganese in groundwater within the gold-belt zone of Ghana. J Water Supply Res Technol AQUA 57(7):519–529. https://doi.org/10.2166/aqua.2008.149

    Article  Google Scholar 

  • Chitsazan M, Akhtari Y (2009) A GIS-based DRASTIC model for assessing aquifer vulnerability in Kherran Plain, Khuzestan, Iran. Water Resour Manag 23(6):1137–1155. https://doi.org/10.1007/s11269-008-9319-8

    Article  Google Scholar 

  • Crow AT (1952) The rocks of the Sekondi Series of the Gold Coast (No. 18). Published under the authority of the Government of the Gold Coast

  • 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(3):483

    Article  Google Scholar 

  • Dunne T, Leopold LB (1978) Water in environmental planning. Macmillan, San Francisco

    Google Scholar 

  • Evans BM, Myers WL (1990) A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC. J Soil Water Conserv 2(45):242–245

    Google Scholar 

  • Ewusi A, Seidu J, Gyeabour L (2016) Groundwater vulnerability assessment using drastic index and GIS in Kumasi Metropolitan Assembly, Ghana. Ghana Min J 16(1):21–30. https://doi.org/10.4314/gm.v16i1.3

    Article  Google Scholar 

  • Ghana Statistical Service (2010) Population by region, district, locality of residence, age groups and sex 2010. J Bus Res 84(June 2016):12. https://doi.org/10.1016/j.jbusres.2017.11.014

    Article  Google Scholar 

  • Ghosh T, Kanchan R (2016) Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model. Model Earth Syst Environ 2(3):1–13. https://doi.org/10.1007/s40808-016-0208-5

    Article  Google Scholar 

  • Gleeson T, Smith L, Moosdorf N, Hartmann J, Dürr HH, Manning AH, Van Beek LPH, Jellinek AM (2011) Mapping permeability over the surface of the Earth. Geophys Res Lett 38(2):1–6. https://doi.org/10.1029/2010GL045565

    Article  Google Scholar 

  • Gogu RC, Hallet V, Dassargues A (2003) Comparison of aquifer vulnerability assessment techniques. Application to the Néblon river basin (Belgium). Environ Geol 44(8):881–892. https://doi.org/10.1007/s00254-003-0842-x

    Article  Google Scholar 

  • Hamza SM, Ahsan A, Ghazali MAIAH (2017) GIS-based FRASTIC model for pollution vulnerability assessment of fractured-rock aquifer systems. Environ Earth Sci. https://doi.org/10.1007/s12665-017-6520-1

    Article  Google Scholar 

  • Hasiniaina F, Zhou J, Guoyi L (2010) Regional assessment of groundwater vulnerability in Tamtsag basin, Mongolia using drastic model. J Am Sci 6(11):1545–1003. https://www.americanscience.orgeditor@americanscience.org

  • Hassan A, Hallaq A, Sofyan B, Elaish A (2012) Assessment of aquifer vulnerability to contamination in Khanyounis Governorate, Gaza Strip—Palestine, using the DRASTIC model within GIS environment. Arab J Geosci 5(4):833–847. https://doi.org/10.1007/s12517-011-0284-9

    Article  Google Scholar 

  • Herlinger R, Viero AP (2007) Groundwater vulnerability assessment in coastal plain of Rio Grande do Sul State, Brazil, using DRASTIC and adsorption capacity of soils. Environ Geol 52(5):819–829. https://doi.org/10.1007/s00254-006-0518-4

    Article  Google Scholar 

  • Hussain Y, Ullah SF, Aslam AQ, Hussain MB, Akhter G, Martinez-Carvajal HE, Satgé F, Ashraf A, Iqbal B, Cárdenas-Soto M (2017) Vulnerability assessment of an agro-stressed aquifer using a source-pathway-receptor model in GIS. Model Earth Syst Environ 3(2):595–604. https://doi.org/10.1007/s40808-017-0320-1

    Article  Google Scholar 

  • Kattaa B, Al-fares W, Rahman A, Charideh A (2010) Groundwater vulnerability assessment for the Banyas Catchment of the Syrian coastal area using GIS and the RISKE method. J Environ Manag 91(5):1103–1110. https://doi.org/10.1016/j.jenvman.2009.12.008

    Article  Google Scholar 

  • Lad S, Ayachit R, Kadam A, Umrikar B (2019) Groundwater vulnerability assessment using DRASTIC model: a comparative analysis of conventional, AHP, fuzzy logic and frequency ratio method. Model Earth Syst Environ 5(2):543–553. https://doi.org/10.1007/s40808-018-0545-7

    Article  Google Scholar 

  • Lahjouj A, El Hmaidi A, Bouhafa K, Boufala M (2020) Mapping specific groundwater vulnerability to nitrate using random forest: case of Sais basin, Morocco. Model Earth Syst Environ 6(3):1451–1466. https://doi.org/10.1007/s40808-020-00761-6

    Article  Google Scholar 

  • Li R, Merchant JW (2013) Modeling vulnerability of groundwater to pollution under future scenarios of climate change and biofuels-related land use change : a case study in North Dakota, USA. Sci Total Environ 447:32–45. https://doi.org/10.1016/j.scitotenv.2013.01.011

    Article  Google Scholar 

  • Merchant JW (1994) GIS-based groundwater pollution hazard assessment: a critical review of the DRASTIC model. Photogram Eng Remote Sens 60(9):1117–1127

    Google Scholar 

  • Napolitano P, Fabbri AG (1996) Single parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. In: Proceedings of the 2nd HydroGIS conference, IAHS publication: application of geographic information systems in hydrology and water resources management, Proceedings of the Vienna conference, April 1996. IAHS Publ. No. 235, 1996, 235, pp 559–566

  • Nazzal Y, Howari FM, Iqbal J, Ahmed I, Orm NB, Yousef A (2019) Investigating aquifer vulnerability and pollution risk employing modified DRASTIC model and GIS techniques in Liwa area, United Arab Emirates. Groundw Sustain Dev 8:567–578. https://doi.org/10.1016/j.gsd.2019.02.006

    Article  Google Scholar 

  • Neshat A, Pradhan B, Shafri HZM (2014a) An integrated GIS based statistical model to compute groundwater vulnerability index for decision maker in agricultural area. J Indian Soc Remote Sens 42(4):777–788. https://doi.org/10.1007/s12524-014-0376-6

    Article  Google Scholar 

  • Neshat A, Pradhan B, Dadras M (2014b) Groundwater vulnerability assessment using an improved DRASTIC method in GIS. Resour Conserv Recycl 86:74–86. https://doi.org/10.1016/j.resconrec.2014.02.008

    Article  Google Scholar 

  • Obuobie E, Agyekum W, Appiah-Adjei EK, Upton K, Dochartaigh ÓBÉ, Bellwood-Howard I (2018) Africa groundwater atlas: hydrogeology of Ghana. British Geological Survey. https://earthwise.bgs.ac.uk/index.php/Hydrogeology_of_Ghana. Accessed 21 Dec 2018

  • Ojuri OO, Bankole OTO (2013) Groundwater vulnerability assessment and validation for a fast growing City in Africa: a case study of Lagos, Nigeria. J Environ Prot 4(5):454–465. https://doi.org/10.1002/oby.21252

    Article  Google Scholar 

  • Omotola OO, Oladapo MI, Akintorinwa OJ (2020) Modeling assessment of groundwater vulnerability to contamination risk in a typical basement terrain case of vulnerability techniques application comparison study. Model Earth Syst Environ 6(3):1253–1280. https://doi.org/10.1007/s40808-020-00720-1

    Article  Google Scholar 

  • Ouedraogo I, Defourny P, Vanclooster M (2016) Mapping the groundwater vulnerability for pollution at the pan African scale. Sci Total Environ 544:939–953. https://doi.org/10.1016/j.scitotenv.2015.11.135

    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(6):894–911

    Article  Google Scholar 

  • Piscopo G (2001) Groundwater vulnerability map explanatory notes—Castlereagh Catchment. NSW Department of Land and Water Conservation, Australia

  • Pokhriyal P, Rehman S, Areendran G, Raj K, Pandey R, Kumar M, Sahana M, Sajjad H (2020) Assessing forest cover vulnerability in Uttarakhand, India using analytical hierarchy process. Model Earth Syst Environ 6(2):821–831. https://doi.org/10.1007/s40808-019-00710-y

    Article  Google Scholar 

  • Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28(1):32–53

    Article  Google Scholar 

  • Rosen L (1994) A study of the DRASTIC methodology with emphasis on Swedish conditions. Groundwater 32(2):278–285

    Article  Google Scholar 

  • Rundquist DC, Peters AJ, Di L, Rodekohr DA, Ehrman RL, Murray G (1991) Statewide groundwater-vulnerability assessment in Nebraska using the drastic/GIS model. Geocarto Int 6(2):51–58

    Article  Google Scholar 

  • Saidi S, Bouri S, Ben Dhia H, Anselme B (2011) Assessment of groundwater risk using intrinsic vulnerability and hazard mapping: application to Souassi aquifer, Tunisian Sahel. Agric Water Manag 98(10):1671–1682. https://doi.org/10.1016/j.agwat.2011.06.005

    Article  Google Scholar 

  • Sener E, Davraz A (2013) Assessment of groundwater vulnerability based on a modified DRASTIC model, GIS and an analytic hierarchy process (AHP) method: the case of Egirdir Lake basin (Isparta, Turkey). Hydrogeol J 21(3):701–714. https://doi.org/10.1007/s10040-012-0947-y

    Article  Google Scholar 

  • Shirazi SM, Imran HM, Akib S (2012) GIS-based DRASTIC method for groundwater vulnerability assessment: a review. J Risk Res 15(8):991–1011. https://doi.org/10.1080/13669877.2012.686053

    Article  Google Scholar 

  • Shirazi SM, Imran HM, Akib S, Yusop Z, Harun ZB (2013) Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques. Environ Earth Sci 70(5):2293–2304

    Article  Google Scholar 

  • Tai T, Wang J, Wang Y, Bai L (2012) Groundwater pollution risk evaluation method research progress in our country. J Beijing Norm Univ Nat Sci 6:648–653

    Google Scholar 

  • Tesoriero AJ, Inkpen EL, Voss FD (1998) Proceedings for the source water assessment and protection 98 conference, Dallas, TX, pp 157–165

  • Thapinta A, Hudak PF (2003) Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand. Environ Int 29(1):87–93. https://doi.org/10.1016/S0160-4120(02)00149-6

    Article  Google Scholar 

  • Tovar M, Rodríguez R (2004) Vulnerability assessment of aquifers in an urban-rural environment and territorial ordering in Leon, Mexico. Geofísica Int 43(4):603–609

    Google Scholar 

  • Wang J, He J, Chen H (2012) Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China. Sci Total Environ 432:216–226. https://doi.org/10.1016/j.scitotenv.2012.06.005

    Article  Google Scholar 

  • Zouhri L, Armand R (2019) Groundwater vulnerability assessment of the chalk aquifer in the northern part of France. Geocarto Int. https://doi.org/10.1080/10106049.2019.1637465

    Article  Google Scholar 

Download references

Acknowledgements

This study was funded by the Regional Water and Environmental Sanitation Centre Kumasi (RWESCK) at the Kwame Nkrumah University of Science and Technology, Kumasi with funding from Ghana Government through the World Bank under the Africa Centre's of Excellence project.' The views expressed in this paper do not reflect those of the World Bank, Ghana Government and KNUST.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Kofi Yankey.

Ethics declarations

Conflict of interest

The authors decalre that they have no competing interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yankey, R.K., Anornu, G.K., Osae, S.K. et al. Drastic model application to groundwater vulnerability elucidation for decision making: the case of south western coastal basin, Ghana. Model. Earth Syst. Environ. 7, 2197–2213 (2021). https://doi.org/10.1007/s40808-020-01031-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-020-01031-1

Keywords

Navigation