A GIS-Based DRASTIC Approach for Aquifer Vulnerability Assessment: Study Conducted in the Municipal Corporation Region of Ranchi, Jharkhand

  • Chapter
  • First Online:
Surface and Groundwater Resources Development and Management in Semi-arid Region

Part of the book series: Springer Hydrogeology ((SPRINGERHYDRO))

  • 191 Accesses

Abstract

The idea of Groundwater Vulnerability is based on the supposition that the physical environment may shield groundwater to some extent from impacts from the environment and people, particularly concerning contaminants that reach the subsurface environment. The present study develops the aquifer vulnerability map of the Ranchi Municipal Corporation area through the GIS-based DRASTIC method by calculating Drastic Value Index (DVI) values. The greater the DVI value, the greater the potential for aquifer contamination. The DVI values are categorized into five classes from low to high. The study area has a varied range of Drastic Value Index (DVI) values. It has been found that 47.08% of the total research region comes under the moderately low vulnerability class, followed by the Moderate vulnerability class with 29.49% of the total research region, and 18.57% of the total area comes under the high vulnerability class. Hence, the DVI map could be helpful in the environmental risk assessment aspects during town planning or during the proposal for new developmental or industrial activities. It could also be useful in the site selection procedure for activities that could directly impact Groundwater, like landfill sites.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 103.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 129.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
GBP 129.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Aller L (1985) DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeologic settings. In: Kerr RS (ed) Environmental research laboratory, office of research and development. US Environmental Protection Agency

    Google Scholar 

  • Anshumala K, Shukla JP, Patel SS, Singh A (2021) Assessment of groundwater vulnerability zone in mandideep industrial area using DRASTIC model. J Geol Soc India 97(9):1080–1086

    Article  Google Scholar 

  • Baalousha HM (2011). Map** groundwater contamination risk using GIS and groundwater modelling. A case study from the Gaza Strip, Palestine. Arab J Geosci 4(3):483–494

    Google Scholar 

  • Bai L, Wang Y, Meng F (2012) Application of DRASTIC and extension theory in the groundwater vulnerability evaluation. Water Environ J 26(3):381–391

    Article  Google Scholar 

  • Bera A, Mukhopadhyay BP, Das S (2022) Groundwater vulnerability and contamination risk map** of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques. Chemosphere 307:135831

    Article  ADS  CAS  PubMed  Google Scholar 

  • Connell LD, Van den Daele G (2003) A quantitative approach to aquifer vulnerability map**. J Hydrol 276(1–4):71–88

    Article  CAS  Google Scholar 

  • Daly D, Drew D (1999) Irish methodologies for karst aquifer protection. In: Hydrogeology and engineering geology of sinkholes and karst, pp 267–272

    Google Scholar 

  • 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

    Google Scholar 

  • Foster S, Hirata R, Gomes D, D’Elia M, Paris M (2002) Groundwater quality protection: a guide for water utilities, municipal authorities, and environment agencies. World Bank, Washington, DC

    Book  Google Scholar 

  • Ghosh A, Tiwari AK, Das S (2015) A GIS based DRASTIC model for assessing groundwater vulnerability of Katri Watershed, Dhanbad, India. Modeling Earth Syst Environ 1(3):1–14

    Google Scholar 

  • Karan SK, Samadder SR, Singh V (2018) Groundwater vulnerability assessment in degraded coal mining areas using the AHP–modified DRASTIC model. Land Degrad Dev 29(8):2351–2365

    Article  Google Scholar 

  • Mallik S, Bhowmik T, Mishra U, Paul N (2021) Local scale groundwater vulnerability assessment with an improved DRASTIC model. Nat Resour Res 30(3):2145–2160

    Article  Google Scholar 

  • McLay CDA, 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

    Article  CAS  PubMed  Google Scholar 

  • Mitra D (2011) Coastal hazard and Risk analysis in the gulf of Cambay, India: using remote sensing data and GIS technique. VDM Publishing

    Google Scholar 

  • Nair AM, Prasad KR, Srinivas R (2022) Groundwater vulnerability assessment of an urban coastal phreatic aquifer in India using GIS-based DRASTIC model. Groundw Sustain Dev 19:100810

    Article  Google Scholar 

  • Navulur KCS, Engel BA (1998) Groundwater vulnerability assessment to non-point source nitrate pollution on a regional scale using GIS. Trans ASAE 41(6):1671

    Article  CAS  Google Scholar 

  • Pande CB (2022) Land use/land cover and change detection map** in Rahuri watershed area (MS), India using the google earth engine and machine learning approach. Geocarto Int. https://doi.org/10.1080/10106049.2022.2086622

  • Pande CB, Moharir KN, Varade A (2023) Water conservation structure as an unconventional method for improving sustainable use of irrigation water for soybean crop under rainfed climate condition. In: Pande CB, Moharir KN, Singh SK, Pham QB, Elbeltagi A (eds) Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems, pp 629–641. Springer Climate. Springer, Cham. https://doi.org/10.1007/978-3-031-19059-9_28

  • Pande CB, Patode RS, Moharir KN (2017) Morphometric analysis using remote sensing and GIS techniques (a case study of Devdari Watershed, Patur Tq., Akola District, Maharashtra). Trends Biosci 10(1): 219–223. ISSN 0974-8431.

    Google Scholar 

  • Saranya T, Saravanan S (2021) Evolution of a hybrid approach for groundwater vulnerability assessment using hierarchical fuzzy-DRASTIC models in the Cuddalore Region, India. Environ Earth Sci 80(5):1–25

    Article  Google Scholar 

  • Singh R, Syed TH, Kumar S, Kumar M, Venkatesh AS (2017) Hydrogeochemical assessment of surface and groundwater resources of Korba coalfield, Central India: environmental implications. Arab J Geosci 10(14):1–16

    Article  Google Scholar 

  • Stempvoort DV, Ewert L, Wassenaar L (1993) Aquifer vulnerability index: a GIS-compatible method for groundwater vulnerability map**. Can Water Resourc J 18(1):25–37

    Article  Google Scholar 

  • Yu H, Wu Q, Zeng Y, Zheng L, Xu L, Liu S, Wang D (2022) Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer. J Hydrol 608:127538

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shivam Saw .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Saw, S., Singh, P.K., Patel, R., Deoli, V., Kumar, D. (2023). A GIS-Based DRASTIC Approach for Aquifer Vulnerability Assessment: Study Conducted in the Municipal Corporation Region of Ranchi, Jharkhand. In: Pande, C.B., Kumar, M., Kushwaha, N.L. (eds) Surface and Groundwater Resources Development and Management in Semi-arid Region. Springer Hydrogeology. Springer, Cham. https://doi.org/10.1007/978-3-031-29394-8_3

Download citation

Publish with us

Policies and ethics

Navigation