Vulnerability, Underground Water, DRASTIC Model, GIS, Sirjan Plain.

Document Type : Research Paper


1 Assistant Professor, Department of Ecology, Institute of Science and High Technology and Environmental Science, Graduate University of Advanced Technology, Kerman, Iran.

2 MSc graduate in Civil Engineering, majoring in water and hydraulic structures


Due to the increasing demand for water resources in agricultural, domestic, and industrial sectors, the quality of groundwater resources in Iran is at risk. This is more sensitive for the arid and semi-arid regions of the country where the main supply of water is from groundwater resources. The aim of this study was to investigate the vulnerability of the groundwater aquifer of Sirjan Plain (Kerman province). For this purpose, the DRASTIC model was employed, while the Geographical Information System (GIS) software was used to draw the vulnerability map. In the DRASTIC model, the effective characteristics in assessing the vulnerability of groundwater aquifers including water table depth, net recharge, aquifer type, soil type, topographic slope, the media forming the vadose zone, and hydraulic conductivity were used. They were prepared in seven layers in the ArcMap software and by weighing, ranking, and combining these layers, the final vulnerability map of Sirjan Plain with respect to contamination was produced. The results showed that the DRASTIC index for the mentioned plain was between 69 and 141 and that the southern parts of this plain were more susceptible to contamination. Moreover, the investigation of the nitrate ion on the final DRASTIC map showed that all the points with high nitrate content were in the highly contaminated zone. This can confirm the accuracy of the model.


Main Subjects

  • Afroozi, M. and Mohammadzadeh, 2013. Vulnerability assessment of Borujen-Faradnabeh plain aquifer using DRASTIC model based on nitrate, Iranian Journal of Water Research, 7(12): 213-218 (In Persian).


  • Aller, L. 1985. DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeologic settings. Robert S. Kerr Environmental Research Laboratory, Office of Research and Development, US Environmental Protection Agency.


  • Aller, L., Bennett, T., Lehr, J., Petty, R. J. and Hackett, G. 1987. DRASTIC: A standardized system for evaluating ground water pollution potential using hydrogeologic settings. US Environmental Protection Agency. 


  • Anvari S., Kim JH. and Moghaddasi M. 2019. The role of meteorological and hydrological uncertainties in the performance of optimal water allocation approaches, Irrigation and Drainage; 68(2): 342-53.


  • Anvari S, Mousavi SJ. and Morid S. 2017. Stochastic dynamic programming-based approach for optimal irrigation scheduling under restricted water availability conditions. Irrigation and Drainage, 66(4):492–500.


  • Asefi, M., Zarei, H., and Radmanesh, F. 2014. Improvement of SINTACS method using analytical hierarchy process in geographic information system environment to evaluate aquifer vulnerability (case study: Andimeshk plain). Journal of Irrigation and Water Engineering, 18(4): 109-125.


  • Ashokraj, C., Kirubakaran, M. and Colins Johnny, J. 2015. Estimation of Groundwater Vulnerability using Remote Sensing and GIS Techniques. International Journal for Innovative Research in Science and Technology, 1(9): 2349-6010.


  • Babiker, I. S., Mohamed, M. A., Hiyama, T., and Kato, K. 2005. A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Science of the Total Environment, 345(1): 127-140.


  • Colins, J., Sashikkumar, M. C., Anas, P. A., and Kirubakaran, M. 2016. GIS-based assessment of aquifer vulnerability using DRASTIC Model: A case study on Kodaganar basin. Earth Sciences Research Journal, 20(1), 1-8.


  • Dixon B. 2005. Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis. Journal of Hydrology. 309 (1-4): 17-38.


  • Kerman Planning Management Organization, 2006.


  • Khodaei K., Shahsavari A.A., Etebari B. 2006. Evaluation Of Aquifer Vulnerability Of Jovein Plain Using Drastic And Gods Methods, Iranian Journal Of Geology, 2(4): 73-87. (In Persian).


  • Panagopoulos, G. P., Antonakos, A. K., and Lambrakis, N. J. (2006). Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS. Hydrogeology Journal, 14(6): 894-911.


  • Ranjbar, N., Anvari, S., and Delavar, M. 2021. The application of harmony search and genetic algorithms for the simultaneous optimization of integrated reservoir–FARM systems (IRFS). Irrigation and Drainage, 70(4), 743-756.


  • Specialized water reports of Kerman regions, 2014.


  • Synthesis report on Updating Water Master Plan of Iran Deputy of Water and Wastewater Ministry of Energy, 2017.


  • Thirumalaivasan, D., Karmegam, M., and Venugopal, K. 2003. AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environmental Modelling and Software, 18(7): 645-656.


  • K., Nazakis. N., Polemio. M. and Kareklas. K., 2010. Assessment of intrinsic vulnerability using the DRASTIC model and GIS in the Kiti aquifer, Cyprus, European Water, 30: 13-24.


  • Vrba, J. and Zaporozec, A. 1994. Guidebook on mapping groundwater vulnerability. Heise.
Volume 45, Issue 2
June 2022
Pages 19-29
  • Receive Date: 14 June 2022
  • Revise Date: 18 August 2022
  • Accept Date: 20 August 2022
  • Publish Date: 22 June 2022