Mapping Of Aquifer Vulnerability Zones Using Drastic-Lu Model For The Part Of Palwal – Faridabad District, Yamuna Alluvial Aquifer, Haryana, India

IJEP 41(7): 754-761 : Vol. 41 Issue. 7 (July 2021)

Nepal Singh and Sarfaraz Ahmad*

Aligarh Muslim University, Department of Geology, Aligarh – 202 002, India


Vulnerability assessment to delineate areas that are more susceptible to contamination from anthropogenic source has become an important element for sensible resource management and landuse planning. The study utilized the DRASTIC-Lu model comprising seven environmental parameters which include depth to the water table, net recharge, aquifer media, soil media, topography, the impact of the vadose zone, hydraulic conductivity. These thematic maps under the GIS environment were used to assess the aquifer vulnerability in Yamuna alluvial aquifer in parts of Palwal – Faridabad district, Haryana, India. The result of the groundwater vulnerability assessment suggests four zones of relative vulnerability as very low, low, medium and highest vulnerable zones. The elevated north-western parts of the study area displayed high aquifer vulnerability due to shallow groundwater depth, open water bodies, urban settlement, soil type and high hydraulic conductivity. While eastern parts show less vulnerability due to low hydraulic conductivity and deeper groundwater table.


DRASTIC-Lu, Aquifer vulnerability mapping, Yamuna alluvial, Palwal – Faridabad, GIS


  1. Tesoriero, A.J., E.L. Inkpen and F.D. Voss. 1998. Assessing groundwater vulnerability using logistic regression. Source water assessment and protection 98, Technical Conference. Proceedings, pp 157-165.
  2. Zhang, R., et al. 1196. Determination of non-point source pollution using GIS and numerical models. J. Env. Quality. 25: 411-418
  3. Aller, L., et al. 1985. DRASTIC : A standardized system for evaluating groundwater pollution potential using hydrogeologic settings. USEPA Report 600/2-87/035. U.S. Environmental Protection Agency. Available at :
  4. Dixon, B. 2005. Applicability of neuro-fuzzy techniques in predicting groundwater vulnerability : A GIS-based sensitivity analysis. J. Hydrol., 309:17-38.
  5. Foster, S.S.D. 1987. Fundamental concept in aquifer vulnerability pollution risk and protection strat egy. In The Haque vulnerability of soil and ground- water to pollutants, proceeding and information. Ed Duijvenbooden W. Van and Waegeninngh H.G. Van. TNO Committee on Hydrological Research. 38:69-86.
  6. Worrall, F. and D.W. Kopin. 2004. Aquifer vulnerability to pesticide pollution-combining soil, Land-use and aquifer properties with molecular descriptors. J. Hydrol. 29: 191-204.
  7. Kalinski, R.J., et al. 1994. Correlation between DRASTIC vulnerability and incidents of VOC contamination of municipal wells in Nebrsska. Ground Water. 32(1):31-34.
  8. Hussain, Y., et al. 2017. Groundwater quality evaluation by electrical resistivity method for optimized tubewell site selection in an ago-stressed Thal Doab aquifer in Pakistan. Modeling Earth Syst. Env. DOI:10.1007/s40808-017-0282-3.
  9. Al-Abadi, A.M., A.M. Al-Shamm’a and M.H. Aljabbari. 2014. A GIS-based DRASTIC model for assessing intrinsic groundwater vulnerability in northeastern Missan Governorate, southern Iraq. Appl. Water Sci., 7:89-10.
  10. Shirazi, S.M., H.M. Imran and S. Akib. 2012. GIS-based DRASTIC method for groundwater vulnerability assessment : A review. J. Risk Res., 15 (8):991-1011.
  11. Thapinta, A. and P.F. Hudak. 2003. Use of geographic information systems for assessing ground-water pollution potential by pesticides in Central Thailand. Env. Int., 29:87-93.
  12. Umar, R., I. Ahmad and F. Alam. 2009. Mapping groundwater vulnerability zones using modified DRASTIC approach of an alluvial aquifer in parts of Central Ganga plain, western Uttar Pradesh. J. Geol. Soc. India. 73:193-201.
  13. Rehman, A. 2008. A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl. Geo., 28(1): 32-53.
  14. Khan, M., R. Umar and H. Lateh. 2010. Assessment of aquifer vulnerability in parts of Indo Gangatic plain. Int. J. Phy. Sci., 5 (II):1711-1720.
  15. Ghosh, A., A.K. Tiwari and S. Das. 2015. A GIS based DRASTIC model for assessing groundwater vulnerability of Katri watershed, Dhanbad, India. Modeling Earth Sys. Env. DOI:10.1007/S40808-015-0009-2.
  16. Ghosh, T. and R. Kanchan. 2016. Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model. Model. Earth Sys. Env. DOI:10.1007/S40808-016-0208-5.
  17. Kumar, P., et al. 2016. Assessment of the effectiveness of DRASTIC in predicting the vulnerability of groundwater to contamination : A case study from Fatehgarh Sahib district in Punjab. Env. Earth Sci., 75(10):1-13.
  18. Prasad, K. and J.P. Shukla. 2014. Assessment of groundwater vulnerability using GIS based DRASTIC technology for the basaltic aquifer of Burhner watershed, Mohgaon block, Mandla (India). Curr. Sci., 107(10):1649-1656.
  19. Ahada, C.P.S. and S. Suthar. 2018. A GIS based DRASTIC model for assessing aquifer vulnerability in southern Punjab, India. Modeling Earth Sys. Env. DOI:10.1007/s40808-018-0449-6.
  20. Ahmad, S., N. Singh and N.M. Syeda. 2020. Hydrochemical characteristics of the groundwater in Trans-Yamuna alluvial aquifer, Palwal district, Haryana. Appl. Water Sci. DOI:10.1007/s13201-020-1150-2.
  21. Ministry of Water Resource. 1997. Ground resource estimation methodology. Report of the groundwater resource estimation committee, Government of India, New Delhi.
  22. Qinghai, G., et al. 2007. A new model (DRARCH) for assessing groundwater vulnerability to arsenic contamination at basin scale : A case study in Taiyuan basin, northern China. Env. Geol., 52:923-932.
  23. CGWB. 1982. Upper Yamuna project (1977-1982) report. Central Groundwater Board, North Western Region, Chandigarh.
  24. CGWB. 2005. Groundwater exploration in Haryana State (as on 31st March 2004). Central Ground- water Board, North Western Region, Chandigarh.
  25. Alam, F. 2010. Aquifer system and groundwater resource evaluation in parts of Hindon-Yamuna watershed in parts of western Uttar Pradesh. Ph.D. Thesis. Aligarh Muslim University, Aligarh.
  26. Babiker, I.S., et al. 2005. A GIS based DRASTIC model for assessing aquifer vulnerability kakamigahara Heights, Gifu Prefecture, Central Japan. Sci. Total Env., 345 (1):127-140.
  27. APHA. 1998. Standard methods for the examination of water and wastewater (20th edn). American Public Health Association, Washington D.C.