Abstract
All groundwater is vulnerable to pollution, but the level of susceptibility depends on the spatial peculiarities of a region. Among the numerous vulnerability assessment methodologies, the geographical information system-based DRASTIC model is the most sophisticated and achieves reliable results even in complex areas. Fractured-rock aquifers are not only complex, but they are also potential sources of radioactive and other types of waste and are liable to high recharge rates. Hence, they can serve as a conduit for fluid (and potentially) contaminants. Therefore, in this study, a new parameter, ‘fracture media’ (F), is fashioned to replace the weakest parameter (i.e. depth to water, D) in the standardized DRASTIC model to create a new model (FRASTIC) for the complex fractured aquifer system. The proposed model was tested on a case study area (Kano, Nigeria), and the FRASTIC minimum and maximum indices obtained were in the range of 63–170. The region was characterized as having very low (covering 0.16% of the total study area), low (55.52%), medium (42.53%), and high (1.79%) vulnerability based on the standardized classification system. In addition, the modified FRASTIC model was further developed using the sensitivity analysis (SA) and recorded the highest vulnerable area coverage (32.86%) within Kano. Thus, the modified FRASTIC model is appropriate for the complex nature of the study area because it contributes appreciably to defining the vulnerable zones. The single-parameter SA was employed to obtain effective weights for two modified models, which were then implemented to improve efficacy. Conventional nitrate validation indicated that there is a strong correlation between nitrate and vulnerability for the modified models. In addition, a new approach for identifying the relationship between the water quality and vulnerability indices was developed by this study and was proven to be an effective validation tool.
Similar content being viewed by others
References
Abdullahi US (2009) Evaluation of models for assessing groundwater vulnerability to pollution in Nigeria. Bayero J Pure Appl Sci 2(2):138–142
Adams B, Foster S (1992) Land-Surface Zoning for Groundwater Protection. Water Environ J 6(4):312–319
Adamu GK, Rabi’u Tukur AIK (2013) Ground Water Quality Assessment in the Basement Complex Areas of Kano State Nigeria. Am J Eng Res 2(7):171–175
Adelana S (2004) Water pollution by nitrate in a weathered/fractured basement rock aquifer: the case of Offa area, Nigeria. In: Research basin and hydrological planning. Balkema, London, pp 93–98
Akan JC, Ogugbuaja VO, Abdulrahman FI, Ayodele JT (2009) Pollutant levels in effluent samples from tanneries and textiles of Kano industrial areas, Nigeria. Glob J pure appl sci 15(3–4):343–352
Akujieze CN, Coker S, Oteze G (2003) Groundwater in Nigeria–a millennium experience–distribution, practice, problems and solutions. Hydrogeol J 11(2):259–274
Al Hallaq AH, Elaish BSA (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
Al-Adamat RAN, Foster IDL, Baban SMJ (2003) Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS. Remote sensing and DRASTIC. Appl Geogr 23(4):303–324. doi:10.1016/j.apgeog.2003.08.007
Aller L, Bennett T, Lehr J, Petty R (1985) DRASTIC: a standardized system for evaluating groundwater pollution using hydrogeologic settings. US EPA/Robert S. Kerr Environmental Research Laboratory. EPA/600/2-85/018, p 163
Baalousha H (2006) Vulnerability assessment for the Gaza Strip, Palestine using DRASTIC. Environ Geol 50(3):405–414
Baba A, Tayfur G (2011) Groundwater contamination and its effect on health in Turkey. Environ Monit Assess 183(1–4):77–94
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):127–140
Bala AE, Eduvie OM, Byami J (2011) Borehole depth and regolith aquifer hydraulic characteristics of bedrock types in Kano area, Northern Nigeria. Afr J Environ Sci Technol 5(3):228–237
Bazimenyera JDD, Zhonghua T (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Hangzhou-Jiaxing-Huzhou Plain, China. Res J Appl Sci 3(8):550–559
Bedessem ME, Casey B, Frederick K, Nibbelink N (2005) Aquifer prioritization for ambient ground water monitoring. Ground Water Monit Remediat 25(1):150–158
Bekesi G, McConchie J (2002) The use of aquifer-media characteristics to model vulnerability to contamination, Manawatu region, New Zealand. Hydrogeol J 10(2):322–331
Boughriba M, Barkaoui A-E, Zarhloule Y, Lahmer Z, Houadi B, Verdoya M (2010) Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment. Arab J Geosci 3:207–220
British Geological Survey (BGS) (2011) Digital groundwater maps of Africa. http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html. Accessed on March 2014
Brown RM, McClelland NI, Deininger RA, O'Connor MF (1972) A water quality index- crashing the psychological barrier. In: Thomas WA (ed) Advances in water pollution research. Proceedings of the sixth international conference held in Jerusalem June 18–23, pp 787–797
Bruce BW, Oelsner GP (2001) Contrasting water quality from paired domestic/public supply wells, Central High Plains 1. Wiley Online Library
Danazumi S, Bichi M (2010) Industrial pollution and heavy metals profile of Challawa River in Kano, Nigeria. J Appl Sci Environ Sanit 5(1):23–29
Egwuonwu G, Olabode V, Bukar P, Okolo V, Odunze A (2011) Characterization of topsoil and groundwater at leather industrial area, Challawa, Kano, Northern Nigeria. Pac J Sci Technol 12(1):628–641
El-Naqa A, Hammouri N, Kuisi M (2006) GIS-based evaluation of groundwater vulnerability in the Russeifa area, Jordan. Revista mexicana de ciencias geológicas 23(3):277–287
Evans BM, Myers WL (1990) A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC. J Soil Water Conserv 45(2):242–245
Freeze RA, Cherry J (1979) Groundwater. Prentice-Hall, Englewood Cliffs, p 604
Fritch TG, McKnight CL, Yelderman JC Jr, Arnold JG (2000) An aquifer vulnerability assessment of the Paluxy aquifer, central Texas, USA, using GIS and a modified DRASTIC approach. Environ Manag 25(3):337–345
GADM (2009) Global Administrative Areas: boundaries without limits. http://www.gadm.org/country
Galadima A, Garba Z, Leke L, Almustapha M, Adam I (2011) Domestic water pollution among local communities in Nigeria-causes and consequences. Eur J Sci Res 52(4):592–603
Gogu R, Dassargues A (2000) Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods. Environ Geol 39(6):549–559
Hallaq A, Elaish B (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. doi:10.1007/s12517-011-0284-9
Hamza M, Added A, Rodriguez R, Abdeljaoued S, Ben Mammou A (2007) A GIS-based DRASTIC vulnerability and net recharge reassessment in an aquifer of a semi-arid region (Metline-Ras Jebel-Raf Raf aquifer, Northern Tunisia). J Environ Manag 84(1):12–19
Hamza SM, Ahsan A, Daura HA, Imteaz MA, Ghazali AH, Mohammed TA (2016) Fractured rock aquifer delineation and assessment using spatial analysis in Kano, Nigeria. Arab J Geosci 9(367):1–12
Hamza SM, Ahsan A, Imteaz MA, Mohammed TA, Ghazali AH, Shariff ARM (2017) Assessment of spatial relationship between groundwater pollution vulnerability and quality indices in Kano, Nigeria. Arab J Geosci 1–12. doi:10.1007/s12517-017-2897-0
Hao Y, Yeh TCJ, Xiang J, Illman WA, Ando K, Hsu KC et al (2008) Hydraulic tomography for detecting fracture zone connectivity. Groundwater 46(2):183–192
Hasiniaina F, Zhou J, Guoyi L (2010) Regional assessment of groundwater vulnerability in Tamtsag basin, Mongolia using drastic model. J Am Sci 6(11):65–78
Hazell JRT, Cratchley CR, Preston AM (1988) The location of aquifers in crystalline rocks and alluvium in Northern Nigeria using combined electromagnetic and resistivity techniques. Q J Eng Geol Hydrogeol 21(2):159–175
Healy RW, Cook PG (2002) Using groundwater levels to estimate recharge. Hydrogeol J 10(1):91–109
Horton RK (1965) An index number system for rating water quality. J Water Pollut Control Fed 37:300–306
Huan H, Wang J, Teng Y (2012) Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case study in Jilin City of northeast China. Sci Total Environ 440:14–23
Huicheng Z, Guoli W, Qing Y (1999) A multi-objective fuzzy pattern recognition model for assessing groundwater vulnerability based on the DRASTIC system. Hydrol Sci J 44(4):611–618
Ibrahim S, Abdullahi B (2008) Effect of lead on zooplankton dynamics in Challawa River, Kano state, Nigeria. Bayero J Pure Appl Sci 1(1):88–94
Javadi S, Kavehkar N, Mohammadi K, Khodadadi A, Kahawita R (2011) Calibrating DRASTIC using field measurements, sensitivity analysis and statistical methods to assess groundwater vulnerability. Water Int 36(6):719–732. doi:10.1080/02508060.2011.610921
Jha MK, Sebastian J (2005) Vulnerability study of pollution upon shallow groundwater using Drastic/GIS. In: A paper presented in the 8th annual international conference and exhibition in India, Map India. Geomatics, New Delhi, India
Jones F, Watkins J (1985) The water cycle as a source of pathogens. J Appl Bacteriol 59(s14):27S–36S
Kabera T, Zhaohui L (2008) A GIS based DRASTIC model for assessing groundwater in shallow aquifer in Yuncheng Basin, Shanxi, China. Res J Appl Sci 3(3):195–205
Kim YJ, Hamm S-Y (1999) Assessment of the potential for groundwater contamination using the DRASTIC/EGIS technique, Cheongju area, South Korea. Hydrogeol J 7(2):227–235. doi:10.1007/s100400050195
KNARDA (1990) Final report: rural water supply project, Volume II—Summary of hyrogeological data. (Vol. II). WARDROP Engineering Inc, Kano
Kura NU, Ramli MF, Ibrahim S, Sulaiman WNA, Aris AZ, Tanko AI et al (2015) Assessment of groundwater vulnerability to anthropogenic pollution and seawater intrusion in a small tropical island using index-based methods. Environ Sci Pollut Res 22(2):1512–1533
Leone A, Ripa MN, Uricchio V, Deák J, Vargay Z (2009) Vulnerability and risk evaluation of agricultural nitrogen pollution for Hungary’s main aquifer using DRASTIC and GLEAMS models. J Environ Manag 90(10):2969–2978. doi:10.1016/j.jenvman.2007.08.009
Liu C-W, Lin C-N, Jang C-S, Ling M-P, Tsai J-W (2011) Assessing nitrate contamination and its potential health risk to Kinmen residents. Environ Geochem Health 33(5):503–514
Lodwick WA, Monson W, Svoboda L (1990) Attribute error and sensitivity analysis of map operations in geographical informations systems: suitability analysis. Int J Geograph Inf Syst 4(4):413–428
MacDonald’s and Partners (1986) Rural water supplies final report. Main Report, Sir MacDonald’s Press Limited, Demeter, England, vol 1, pp 123–53
Mackay DM, Cherry JA (1989) Groundwater contamination: pump-and-treat remediation. Environ Sci Technol 23(6):630–636
Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2013) A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia. Arab J Geosci 6(5):1621–1637
McCurry P (1989) A general review of the geology of the Precambrian to Lower Palaeozoic rocks of northern Nigeria. Geology of Nigeria. Kogbe, CA Ed, pp 13–37
McLay C, Dragten R, Sparling G, Selvarajah N (2001) Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches. Environ Pollut 115(2):191–204
Mitra B, Choichi S, Enari K (1998) Spatial and temporal variation of ground water quality in sand dune area of Aomori prefecture in Japan. In: The American society of agricultural and biological enigineers (ASABE). Paper number 062023
Mohammadi K, Niknam R, Majd V (2009) Aquifer vulnerability assessment using GIS and fuzzy system: a case study in Tehran-Karaj aquifer, Iran. Environ Geol 58(2):437–446. doi:10.1007/s00254-008-1514-7
Mutch RD Jr, Scott JI, Wilson DJ (1993) Cleanup of fractured rock aquifers: implications of matrix diffusion. Environ Monit Assess 24(1):45–70
Napolitano P, Fabbri A (1996) Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. IAHS Publ-Ser Proc Rep-Intern Assoc Hydrol Sci 235:559–566
Neshat A, Pradhan B, Dadras M (2014) Groundwater vulnerability assessment using an improved DRASTIC method in GIS. Resour Conserv Recycl 86:74–86
Nobre R, Rotunno Filho O, Mansur W, Nobre M, Cosenza C (2007) Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool. J Contam Hydrol 94(3):277–292
Oosterbaan RJ, Njiland HJ (1994) Determining the saturated hydraulic conductivity. In: Ritzema HP (ed) Drainage principles and applications, ILRI 16. The Netherlands, Wageningen, pp 435–476
Phan K, Phan S, Huoy L, Suy B, Wong MH, Hashim JH et al (2013) Assessing mixed trace elements in groundwater and their health risk of residents living in the Mekong River basin of Cambodia. Environ Pollut 182:111–119
Pradhan B (2009) Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Open Geosci 1(1):120–129
Prasad R, Singh VS, Krishnamacharyulu SKG, Banerjee P (2011) Application of drastic model and GIS: for assessing vulnerability in hard rock granitic aquifer. Environ Monit Assess 176(1–4):143–155. doi:10.1007/s10661-010-1572-7
Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28(1):32–53
Rao SM, Mamatha P (2004) Water quality in sustainable water management. Curr Sci 87(7):942–947
Saidi S, Bouri S, Ben Dhia H (2011) Sensitivity analysis in groundwater vulnerability assessment based on GIS in the Mahdia-Ksour Essaf aquifer, Tunisia: a validation study. Hydrol Sci J 56(2):288–304
Secunda S, Collin ML, Melloul AJ (1998) Groundwater vulnerability assessment using a composite model combining DRASTIC with extensive agricultural land use in Israel’s Sharon region. J Environ Manag 54(1):39–57
Sharma ND, Patel J (2010) Evaluation of groundwater quality index of the urban segments of Surat City, India. Int J Geol 4:1–4
Shekhar S, Pandey AC, Tirkey AS (2015) A GIS-based DRASTIC model for assessing groundwater vulnerability in hard rock granitic aquifer. Arabian J Geosci 8(3):1385–1401
Shirazi S, Imran H, Akib S (2012) GIS-based DRASTIC method for groundwater vulnerability assessment: a review. J Risk Res 15(8):991–1011
Shukia S, Mostaghimi S, Shanholtz VO, Collins M (1998) A GIS-based modeling approach for evaluating groundwater vulnerability to pesticides. JAWRA J Am Water Resour Assoc 34(6):1275–1293
Štambuk-Giljanović N (1999) Water quality evaluation by index in Dalmatia. Water Res 33:3423–3440
Tesoriero AJ, Inkpen EL, Voss FD (1998) Assessing ground-water vulnerability using logistic regression. In: Proceedings for the source water assessment and protection 98 conference, Dallas, TX, pp 157–165
Thirumalaivasan D, Karmegam M, Venugopal K (2003) AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environ Model Softw 18(7):645–656
Tudunwada I, Essiet E, Mohammed S (2007) The effects of tannery sludge on heavy metals concentration in cereals on small-holder farms in Kano, Nigeria. Notulae Botanicae Horti Agrobotanici Cluj-Napoca 35(2):55–60
USGS (2002) Fractured-Rock aquifers: understanding an increasingly important source of water. http://toxics.usgs.gov/pubs/FS-112-02/fs-112-02.pdf. Accessed 25 Sept 2014
USGS (2013). Contamination in Fractured Rock Aquifers. http://toxics.usgs.gov/investigations/fracrock_aquifers.html
USGS (2014) Chlorinated solvents in fractured sedimentary rock—Naval Air Warfare Center (NAWC) research site, West Trenton, New Jersey. http://toxics.usgs.gov/sites/nawc_page.html. Accessed 05 June 2014
Varnosfaderany M, Mirghaffary N, Ebrahimi E, Soffianian A (2009) Water quality assessment in an arid region using a water quality index. Water Sci Technol 60(9):2319–2327
Voudouris K, Kazakis N, Polemio M, Kareklas K (2010) Assessment of intrinsic vulnerability using DRASTIC model and GIS in Kiti aquifer, Cyprus. European water
Vrba J, Zaporozec A (1994) Guidebook on mapping groundwater vulnerability. International Association of Hydrogeologists. Verlag Heinz Heise
Wen X, Wu J, Si J (2009) A GIS-based DRASTIC model for assessing shallow groundwater vulnerability in the Zhangye Basin, northwestern China. Environ Geol 57:1435–1442
World Health Organization (2011) Guidelines for Drinking-water Quality. WHO Chron 38:155–203
Woessner WW (2000) Stream and fluvial plain ground water interactions: rescaling hydrogeologic thought. Ground Water 38:423–429
Yin L, Zhang E, Wang X, Wenninger J, Dong J, Guo L et al (2013) A GIS-based DRASTIC model for assessing groundwater vulnerability in the Ordos Plateau, China. Environ Earth Sci 69(1):171–185
Zingoni E, Love D, Magadza C, Moyce W, Musiwa K (2005) Effects of a semi-formal urban settlement on groundwater quality: Epworth (Zimbabwe): Case study and groundwater quality zoning. Phys Chem Earth Parts A/B/C 30(11):680–688
Zwahlen F (2004) Vulnerability and risk mapping for the protection of carbonate (karst) aquifers, final report (COST action 620). European Commission, Directorate-General XII Science. Research and Development, Brussels, p 297
Acknowledgements
The support provided by the management of Kano agricultural rural development authority (KNARDA km 9, Hadejia Road, P.M.B. 3130 Kano Email: knarda@yahoo.com), Hadejia Jamaare river basin development authority (HJRBDA, Maiduguri road, Hotoro Kano. Email: hjrda@infoweb.abs.net), Kano state water board (KSWB. technical services division, Challawa workshop, Panshekara, Kano. http://www.gmdu.net/corp-424117.html) for the data is hereby recognized. In addition, support by the University Putra Malaysia, Malaysia under the Grant UPM, GP-IPS/2015/9460700; 9460700 is also acknowledged.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Hamza, S.M., Ahsan, A., Imteaz, M.A. et al. GIS-based FRASTIC model for pollution vulnerability assessment of fractured-rock aquifer systems. Environ Earth Sci 76, 197 (2017). https://doi.org/10.1007/s12665-017-6520-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-017-6520-1