Abstract
Once if groundwater has been contaminated, it is difficult to treat it since natural dilution is slow and artificial flushing is impractical. Hence, this study was aimed to analyse the spatial vulnerability to contamination and human activities impact on the groundwater of Elalla-Aynalem Catchment, using depth to water table, net recharge, aquifer type, soil media, topography, impact of vadose zone, hydraulic conductivity and land use/cover. DRASTIC index gives three different groundwater vulnerability zones, namely: high (6.7%), moderate (32%) and low (61.3%), and the modified DRASTIC (Human activity impact) index map gives four vulnerability zones as low, medium, high and very high with area coverage of 18.5%, 29.1%, 32.6% and 19.8% of the study area, respectively. The depth to water table and vadose media are the most significant hydrogeological factors determining the DRASTIC vulnerability resulted from sensitivity analyses. The groundwater vulnerability map with measured NO3 data shows 70.69% and 84.48% agreement for DRASTIC model and modified DRASTIC model, respectively, indicated that the role of LuLc is important. Solid waste disposal, sewerage, gases from industries, municipal wastes, garages, fuel station, health centers and agricultural activities are some of the possible pollutants that could continuously deteriorate the quality of groundwater in the catchment. This study provides integrated plat form and compressive data set of hydrogeological factors for spatial analysis to fill spatial data gaps, and it can be effectively utilized in the planning and management of the groundwater resources in vulnerable zones of Elalla-Aynalem Catchment.
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Abdullah TO, Ali SS, Al-Ansari NA, Knutsson S (2020) Assessment of groundwater vulnerability to pollution using two different vulnerability models in Halabja-Saidsadiq Basin, Iraq. Groundw Sustain Develop 10:100276. https://doi.org/10.1016/j.gsd.2019.100276
Ahirwar R, Malik MS, Shukla JP (2020) Groundwater vulnerability assessment of Hoshangabad and Budni industrial area, Madhya Pradesh, India, using geospatial techniques. Appl Water Sci 10(4):1–14. https://doi.org/10.1007/s13201-020-1172-9
Alemayehu T, Mebrahtu G, Hadera A, Bekele DN (2019) Assessment of the impact of landfill leachate on groundwater and surrounding surface water: a case study of Mekelle city, Northern Ethiopia. Sustain Water Resour Manag 5(4):1641–1649. https://doi.org/10.1007/s40899-019-00328-z
Al-Hanbali A, Kondoh A (2008) Groundwater vulnerability assessment and evaluation of human activity impact (HAI) within the Dead Sea groundwater basin, Jordan. Hydrogeol J 16(3):499–510. https://doi.org/10.1007/s10040-008-0280-7
Aller L, Bennett T, Lehr JH, Petty RJ, Hackkett G (1987) DRASTIC: a standard system for evaluating ground water pollution potential using hydrogeologic settings, US Environmental Protection Agency
Alsharifa Hind J, Marwan A (2010) Assessing groundwater vulnerability in Azraq Basin area by a modified drastic Index. J Water Resour Prot. https://doi.org/10.4236/jwarp.2010.211112
Asadi P, Hosseini SM, Ataie-Ashtiani B, Simmons CT (2017) Fuzzy vulnerability mapping of urban groundwater systems to nitrate contamination. Environ Model Softw 96:146–157. https://doi.org/10.1016/j.envsoft.2017.06.043
Assaf H, Saadeh M (2009) 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. https://doi.org/10.1007/s11269-008-9299-8
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. https://doi.org/10.1016/j.scitotenv.2004.11.005
Barbieri M, Nigro A, Petitta M (2017) Groundwater mixing in the discharge area of San Vittorino Plain (Central Italy): geochemical characterization and implication for drinking uses. Environ Earth Sci 76(11):393. https://doi.org/10.1007/s12665-017-6719-1
Chen SK, Jang CS, Peng YH (2013) Developing a probability-based model of aquifer vulnerability in an agricultural region. J Hydrol 486:494–504. https://doi.org/10.1016/j.jhydrol.2013.02.019
Civita M, De Maio M (1998) Mapping groundwater vulnerability by the point count system model SINTACS. In: Kogiu A cosponsorized by IHP-UNESCO (ed) Managing hydrogeological disasters in a vulnerable environment. GNDCI, vol 1900, pp 243–273
Cook PG, Walker GR, Buselli G, Potts I, Dodds AR (1992) The application of electromagnetic techniques to groundwater recharge investigations. J Hydrol 130(1–4):201–229. https://doi.org/10.1016/0022-1694(92)90111-8
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
Farjad B, Shafri HZBM, Mohamed TA, Pirasteh S, Wijesekara N (2012) Groundwater intrinsic vulnerability and risk mapping. In: Proceedings of the institution of civil engineers-water management, Vol 165, issue 8. Thomas Telford Ltd, pp 441–450
Feola G, Lerner AM, Jain M, Montefrio MJF, Nicholas KA (2015) Researching farmer behaviour in climate change adaptation and sustainable agriculture: lessons learned from five case studies. J Rural Stud 39:74–84. https://doi.org/10.1016/j.jrurstud.2015.03.009
Gebeyehu A (2007) Gis-based groundwater vulnerabilitiy mapping of holeta river catchment, Oromia Regional State, West Shewa Zone (Doctoral dissertation, Addis Ababa Universty) Ethiopia. https://localhost:80/xmlui/handle/123456789/4978
Gebreyohannes T, De Smedt F, Walraevens K, Gebresilassie S, Hussien A, Hagos M, Gebrehiwot K (2013) Application of a spatially distributed water balance model for assessing surface water and groundwater resources in the Geba basin, Tigray, Ethiopia. J Hydrol 499:110–123. https://doi.org/10.1016/j.jhydrol.2013.06.026
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
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. https://doi.org/10.1016/j.scitotenv.2012.08.037
Jhariya DC (2019) Assessment of Groundwater Pollution Vulnerability Using GIS-Based DRASTIC Model and its Validation Using Nitrate Concentration in Tandula Watershed, Chhattisgarh. J Geol Soc India 93(5):567–573. https://doi.org/10.1007/s12594-019-1218-5
Jhariya DC, Shandilya AK, Dewangan R (2012) Nitrate pollution in the groundwater around Sagar town, Madhya Pradesh, India. In: International conference on chemical, ecology and environmental science, (ICEES’2012), Bangkok, pp 151–154
Kahsay GH (2008) Groundwater resource assessment through distributed steady-state flow modeling, Aynalem Wellfield, Mekele, MSc. Thesis ITC, Ethiopia
Kumar A, Pramod Krishna A (2019) Groundwater vulnerability and contamination risk assessment using GIS-based modified DRASTIC-LU model in hard rock aquifer system in India. Geocarto Int. https://doi.org/10.1080/10106049.2018.1557259
Kumar S, Thirumalaivasan D, Radhakrishnan N (2014) GIS based assessment of groundwater vulnerability using drastic model. Arab J Sci Eng 39(1):207–216. https://doi.org/10.1007/s13369-013-0843-3
Lodwick WA, Monson W, Svoboda L (1990) Attribute error and sensitivity analysis of map operations in geographical informations systems: suitability analysis. Int J Geogr Inf Syst 4(4):413–428. https://doi.org/10.1080/02693799008941556
Monserud RA (1990) Methods for comparing global vegetation maps, Report WP-90-40. IIASA, Laxenburg
Napolitano P (1995) GIS for Aquifer vulnerability assessment in the Piana Campana, Southern Italy, Using the DRASTIC and SINTACS methods, MSc. Thesis, ITC, Enschede, The Netherlands
Napolitano P, Fabbri AG (1996) Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. In: IAHS Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences, vol 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 Develop 8:567–578. https://doi.org/10.1016/j.gsd.2019.02.006
Neshat A, Pradhan B (2017) Evaluation of groundwater vulnerability to pollution using DRASTIC framework and GIS. Arab J Geosci 10(22):501. https://doi.org/10.1007/s12517-017-3292-6
Noori R, Ghahremanzadeh H, Kløve B, Adamowski JF, Baghvand A (2019) Modified-DRASTIC, modified-SINTACS and SI methods for groundwater vulnerability assessment in the southern Tehran aquifer. J Environ Sci Health Part A 54(1):89–100. https://doi.org/10.1080/10934529.2018.1537728
Oyedotun TDT (2017) Ensuring water availability in Mekelle City, Northern Ethiopia: evaluation of the water supply sub-project. Appl Water Sci 7(7):4165–4168
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. https://doi.org/10.1007/s10040-005-0008-x
Piscopo G (2001) Groundwater vulnerability map, explanatory notes, Castlereagh Catchment. Department of Land and Water Conservation, NSW, Australia
Ramos-Leal JA, Rodriguez-Castillo R (2003) Aquifer vulnerability mapping in the Turbio River valley, Mexico: a validation study. Geofis Int 42(1):141–156
Sahoo S, Dhar A, Kar A, Chakraborty D (2016) Index-based groundwater vulnerability mapping using quantitative parameters. Environ Earth Sci 75(6):522. https://doi.org/10.1007/s12665-016-5395-x
Saida S, Tarik H, Abdellah A, Farid H, Hakim B (2017) Assessment of groundwater vulnerability to nitrate based on the optimised DRASTIC models in the GIS Environment (Case of Sidi Rached Basin, Algeria). Geosciences 7(2):20. https://doi.org/10.3390/geosciences7020020
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 Manage 54(1):39–57. https://doi.org/10.1006/jema.1998.0221
Shekhar S, Pandey AC, Tirkey AS (2015) A GIS-based DRASTIC model for assessing groundwater vulnerability in hard rock granitic aquifer. Arab J Geosci 8(3):1385–1401. https://doi.org/10.1007/s12517-014-1285-2
Singh A, Srivastav SK, Kumar S, Chakrapani GJ (2015) A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India. Environ Earth Sci 74(7):5475–5490. https://doi.org/10.1007/s12665-015-4558-5
Singha SS, Pasupuleti S, Singha S, Singh R, Venkatesh AS (2019) A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India. Environ Earth Sci 78(21):628. https://doi.org/10.1007/s12665-019-8640-2
Tekle KA, Yoshida I, Harada M (2004) Nitrate concentration in drinking groundwater wells of Mekelle, Ethiopia (I). J Rainwater Catchment Syst 10(1):1–5. https://doi.org/10.7132/jrcsa.KJ00003257771
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 (vol 157165)
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
Tiwari AK, Singh PK, De Maio M (2016) Evaluation of aquifer vulnerability in a coal mining of India by using GIS-based DRASTIC model. Arab J Geosci 9(6):438. https://doi.org/10.1007/s12517-016-2456-0
Voudouris K, Kazakis N, Polemio M, Kareklas K (2010) Assessment of intrinsic vulnerability using DRASTIC model and GIS in Kiti aquifer, Cyprus. Eur Water 30:13–24
Watkins DW, McKinney DC, Maidment DR, Lin MD (1996) Use of geographic information systems in ground-water flow modeling. J Water Resour Plan Manag 122(2):88–96
WHO (1996) Guidelines for drinking-water quality, vol 2. Health Criteria and Other Supporting Information, Geneva
Zomlot Z, Verbeiren B, Huysmans M, Batelaan O (2015) Spatial distribution of groundwater recharge and base flow: assessment of controlling factors. J Hydrol Reg Stud 4:349–368. https://doi.org/10.1016/j.ejrh.2015.07.005
Zwahlen F (2004) Vulnerability and risk mapping for the protection of carbonate (karst) aquifers. Final report, Office of the Official Publications of the European Communities, Brussels, Belgium, pp 297
Acknowledgements
The authors gratefully acknowledge Tigray Agricultural Research Institute, Mekelle Soil Research Center and Mekelle University For the research fund and felowship. The authors also acknowledge Tigray Region Water Bureau and Tigray Region Water Works and Construction Enterprise (TWWCE), Tigray Region Water works, Design, Study and Supervision Enterprise (TWWDSSE), Tekeze Dip Wells Drilling P.L.C and Mekelle Water Supply Office, for providing hydrogeological data.The reviewers and editors are gratefully acknowledged for their valuable comments on the manuscript.
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Berhe Zenebe, G., Hussien, A., Girmay, A. et al. Spatial analysis of groundwater vulnerability to contamination and human activity impact using a modified DRASTIC model in Elalla-Aynalem Catchment, Northern Ethiopia. Sustain. Water Resour. Manag. 6, 51 (2020). https://doi.org/10.1007/s40899-020-00406-7
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DOI: https://doi.org/10.1007/s40899-020-00406-7