Abstract
Groundwater has been treated as an important source of water supply due to its relatively low vulnerability to pollution in comparison to surface water, and its huge storage capacity. Because of the known health and economic impacts associated with groundwater contamination, steps to measure the vulnerability of groundwater must be taken for sustainable groundwater protection and management planning. Susceptibility of groundwater refers to the intrinsic characteristics that determine the sensitivity of the water to being adversely affected by an imposed contaminant load. The DRASTIC model is the most extensively used method for identifying the areas where groundwater supplies are most vulnerable to contamination. In this study the DRASTIC model is applied for a part of Kancheepuram district, Tamil Nadu, India, to generate a small-scale map of groundwater vulnerability to contamination. The whole area is classified on a scale of very low, low, moderate and high susceptibility to pollution. The model is considered in relation to groundwater quality data and results have shown a strong relationship between DRASTIC specific vulnerability index and nitrate-as-nitrogen concentrations. A groundwater vulnerability map is developed by using the DRASTIC model in a computer based Geographic Information System. The results show that the central part of the study area is classified as a high vulnerable zone and the south and northeastern parts show medium vulnerable zones, and record higher nitrate values.
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References
Vrba, J.; Zoporozec, A.: Guidebook on mapping groundwater vulnerability. IAH International Contribution for Hydrogeology. 16, 131, Hannover7 Heise (1994)
Insaf, S.; Babiker., Mohamed, A.; Hiyama, T.; Kato, K.: A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Sci. Total Environ. 345, 127–140 (2005)
Tesoriero, A.J.; Inkpen, E.L.; Voss, F.D.: Assessing ground-water vulnerability using logistic regression. In: Proceedings for the Source Water Assessment and Protection 98 Conference, Dallas, TX, pp. 157–65 (1998)
Barbash, J.E.; Resek, E.A.: Pesticides in ground water: Distribution, trends, and governing factors. MI7 Ann Arbor Press, Chelsea (1996)
Thapinta, A.; Hudak, P.F.: Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand. Environ Int. 29(1), 87–93 (2003)
Srinivasamoorthy, K.; Vijayaraghavan, K.; Vasanthavigar, M.; Sarma, V.S.; Rajivgandhi, R.; Chidambaram, S.; Anandhan, P.; Manivannan, R.: Assessment of groundwater vulnerability in Mettur region, Tamilnadu, India using DRASTIC and GIS techniques. Arab J Geosci. 4, 1215–1228 (2011)
Hasiniaina, F.; Zhou, J.; Guoyi, L.: Regional assessment of groundwater vulnerability in Tamtsag basin, Mongolia using DRASTIC model. J. Am. Sci. 6(11), 65–78 (2010)
Lima, M.L.; Zelaya, K.; Massone, H.: Groundwater vulnerability assessment combining the DRASTIC and Dyna-Clue model in the Argentine Pampas. Environ. Manag. 47, 828–839 (2011)
Rahman A.: A GIS based model for assessing groundwater vulnerability in shallow aquifer in Algarh, India. Appl. Geogr. 28(1), 32–53 (2007)
Al-Adamat, R.; Foster, I.D.L.; Baban, S.M.J.: Groundwater vulnerability and risk mapping for the basaltic aquifer of the Azraq Basin of Jordan using GIS, remote sensing and DRASTIC. Appl. Geogr. 23, 303–324 (2003)
Alwathaf, Y.; Mansouri, B.E.: Assessment of aquifer vulnerability based on GIS and ARCGIS methods: A case study of the Sana’a Basin (Yemen). J. Water Resour. Protect. 3, 845–855 (2011)
Sener, E.; Sener, S.; Davraz, A.: Assessment of aquifer vulnerability based on GIS and DRASTIC methods: a case study of the Senirkent-Uluborlu Basin (Isparta, Turkey). Hydrogeol. J. 17, 2023–2035 (2009)
Wen, X.; J Wu, J.; Si, J.: A GIS-based DRASTIC model for assessing shallow groundwater vulnerability in the Zhangye Basin, northwestern China. Environ. Geol. 57, 1435–1442 (2009)
Ahmed, A.A.: Using Generic and Pesticide DRASTIC GIS-based models for vulnerability assessment of the Quaternary aquifer at Sohag, Egypt. Hydrogeology Journal. 17, 1203–1217 (2009)
Fabbri, A.; Napolitano, P.: The use of database management and geographical information systems for aquifer vulnerability analysis. Contribution to the International Scientific Conference on the occasion of the 50th Anniversary of the founding of the Vysoka Skola Banska, Ostrava, Czech Republic (1995)
National Informatics Centre (NIC), Government of India: http://tnmaps.tn.nic.in/district.php. Accessed 10 October 2011
National Informatics Centre (NIC), Government of India: http://www.kanchi.nic.in/district_profile_pro.html. Accessed 13 October 2011
US EPA (Environmental Protection Agency): DRASTIC: A standard system for evaluating groundwater potential using hydrogeological settings. Oklahoma WA/EPA Series, Ada.163 (1985)
Aller, L.; Bennett, T.; Petty, R.J.: DRASTIC: A standardized system for evaluating ground water pollution potential using hydrogeologic settings. R.S. Kerr Environmental Research Laboratory, US Environmental Protection Agency (1987)
Hamerlinck, J.D.; Arneson, C.S.: (eds.) Wyoming Ground Water Vulnerability Assessment Handbook, Volume 2: Assessing Ground Water Vulnerability to Pesticides. Spatial Data and Visualization Center Publication, SDVC 98-01-2, University of Wyoming, Laramie, Wyoming (1998)
Thirumalaivasan, D.; Karmegam, M.; Venugopal, K.: AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environ. Model. Softw. 18, 645–656 (2003)
CGWB: Detailed Guidelines for implementing the Ground Water Estimation Methodology—1997. Central Ground Water Board, Ministry of Water Resources, Government of India (1998)
Parsons, T.R.; Maita, Y.; Lalli, C.M.: Manual of Chemical and Biological Methods for Seawater Analysis. Pergamon Press, New York, p. 173 (1984)
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Kumar, S., Thirumalaivasan, D. & Radhakrishnan, N. GIS Based Assessment of Groundwater Vulnerability Using Drastic Model. Arab J Sci Eng 39, 207–216 (2014). https://doi.org/10.1007/s13369-013-0843-3
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DOI: https://doi.org/10.1007/s13369-013-0843-3