Skip to main content
Log in

Contamination of Groundwater Assessment in Hard Rock Aquifer by Using Geographic Information System (Drastic Model) in the Thirumanimuthar Sub-basin, South India

  • GEOGRAPHY
  • Published:
Doklady Earth Sciences Aims and scope Submit manuscript

Abstract

This study utilized the DRASTIC approach combined with GIS technology to assess groundwater vulnerability and contamination risks in a research area. The DRASTIC simulation generated a risk assessment map, categorizing locations based on vulnerability levels. The analysis revealed varying vulnerability levels, with areas of significant industrial activity and high population density exhibiting elevated nitrate levels in nearby wells. The model’s outcomes were validated against field measurements of nitrate concentrations, demonstrating a high degree of consistency. The R-index technique was employed to assess sensitivity to nitrate contamination, identifying areas at greater risk. The study highlights the importance of considering hydrogeological characteristics and agricultural practices for groundwater protection and management. Overall, the DRASTIC approach proves valuable in assessing groundwater risks and informs decision-making for sustainable resource management.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.

Similar content being viewed by others

REFERENCES

  1. M. A. Akhtar, N. Akhtar, and M. Shoeb, J. Geol. Soc. Ind. 98 (7), 955–960 (2022).

    Article  Google Scholar 

  2. A. Al-Rawabdeh, N. Al-Ansari, A. Al-Taani, F. Al-Khateeb, and S. Knutsson, Open Eng. 4 (3), 264–280 (2014).

    Article  CAS  Google Scholar 

  3. S. Anbazhagan, Bull. Ind. Geol. Assoc. 26 (2), 117–123 (1993).

    Google Scholar 

  4. S. Anbazhagan, Bhu-Jal News 8 (2), 8–12 (1994).

    Google Scholar 

  5. S. Javadi, N. Kavehkar, M. Mousavizadeh, and K. Mohammadi, J. Agric. Sci. Technol. 13 (2), 239–249 (2011).

    Google Scholar 

  6. P. Bi, L. Pei, G. Huang, D. Han, and J. Song, Int. J. Environ. Res. Public Health 18 (22), 12143 (2021).

    Article  CAS  Google Scholar 

  7. A. Leone, M. Ripa, V. Uricchio, J. Deak, and Z. Vargay, J. Environ. Manag. 90 (10), 2969–2978 (2009).

    Article  CAS  Google Scholar 

  8. R. Khan and D. Jhariya, J. Geol. Soc. Ind. 92, 59–66 (2018).

    Article  CAS  Google Scholar 

  9. S. Khan, Q. Cao, Y. Zheng, Y. Huang, and Y. Zhu, Environ. Pollut. 152 (3), 686–692 (2008).

    Article  CAS  Google Scholar 

  10. G. Bartzas, F. Tinivella, L. Medini, D. Zaharaki, and K. Komnitsas, Inf. Process. Agric. 2 (2), 109–129 (2015).

    Google Scholar 

  11. H. Wang, Q. Yang, H. Ma, and J. Liang, Environ. Res. 200, 111449 (2021).

    Article  CAS  Google Scholar 

  12. A. Hussain, Z. Salam Obaid, A. A. Kadhim Ruhaima, K. Al-Majdi, A. Faiz Hameed, P. Sivaraman, and A. S. Abed, Caspian J. Environ. Sci. 20 (5), 947–954 (2022).

    Google Scholar 

  13. D. Machiwal, M. K. Jha, V. P. Singh, and C. Mohan, Earth-Sci. Rev. 185, 901–927 (2018).

    Article  Google Scholar 

  14. H. Rajput, R. Goyal, and U. Brighu, Environ. Earth Sci. 79, 1–15 (2020).

    Article  Google Scholar 

  15. L. Aller and J. Thornhill, DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings (Robert S. Kerr Environ. Res. Lab., Office of Research and Development, U.S. Environ. Protect. Agency, 1987).

  16. O. Omotola, M. Oladapo, and O. Akintorinwa, Model. Earth Syst. Environ. 6, 1253–1280 (2020).

    Article  Google Scholar 

  17. D. Jhariya, J. Geol. Soc. Ind. 93, 567–573 (2019).

    Article  CAS  Google Scholar 

  18. B. Chakraborty, S. Roy, A. Bera, P. P. Adhikary, B. Bera, D. Sengupta, G. S. Bhunia, and P. K. Shit, Environ. Earth Sci. 81, 1–15 (2022).

    Article  Google Scholar 

  19. T. Saranya and S. Saravanan, Int. J. Environ. Sci. Technol. 20 (2), 1837–1856 (2023).

    Article  CAS  Google Scholar 

  20. L. Pattusamy, M. Rajendran, S. Shanmugamoorthy, and K. Ravikumar, Matéria (Rio de Janeiro) 28 (1) (2023).

  21. Z. M. Babika, L. D. Bryant, T. R. Kieldsen, and A. I. Tukur, J. Geosci. Environ. Protect. 10 (4), 202–226 (2022).

    Article  Google Scholar 

Download references

ACKNOWLEDGMENTS

The authors are expressing their gratitude to Mahendra Engineering College and KSR College of Engineering for providing infrastructural facilities to complete this research successfully.

Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Mohan.

Ethics declarations

The authors of this work declare that they have no conflicts of interest.

Additional information

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mohan, S., Muralimohan, N. & Vidhya, K. Contamination of Groundwater Assessment in Hard Rock Aquifer by Using Geographic Information System (Drastic Model) in the Thirumanimuthar Sub-basin, South India. Dokl. Earth Sc. 514, 149–160 (2024). https://doi.org/10.1134/S1028334X23601700

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1028334X23601700

Keywords:

Navigation