Sustainable Earth Trends

Sustainable Earth Trends

Comparative Performance of DRASTIC and SINTACS Models in Groundwater Vulnerability Assessment of the Bam–Narmashir Plain: A Step Toward Sustainable Aquifer Management

Document Type : Original Research Article

Author
Department of Environment, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
Abstract
This study highlights that sustainable groundwater management in arid regions hinges on using vulnerability models to guide protective policies, ensure water security, and advance Sustainable Development Goal (SDG 6) on clean water and sanitation. The research evaluates the vulnerability of the unconfined alluvial aquifer in the Bam–Narmashir Plain, Kerman Province, using two parametric models: DRASTIC and SINTACS. The primary objectives were to compare the performance of these models in identifying pollution-prone zones and to assess the degree of agreement between their outputs and actual groundwater quality data. Seven key parameters were considered: depth to water table, net recharge, soil type, topography, impact of the unsaturated zone, hydraulic conductivity, and lithology. Results indicate that the central and northeastern parts of the aquifer exhibit higher vulnerability due to the high permeability of sediments and shallow groundwater depth. A comparison of the vulnerability maps generated by the two models revealed that the SINTACS model, owing to its greater flexibility in parameter weighting, offers superior discrimination of high-vulnerability zones. Model validation using nitrate concentration data showed that, although both models adequately reflect the general pattern of contamination, their correlation with actual field measurements requires improvement. Overall, the findings underscore the necessity of locally calibrating vulnerability models and implementing continuous groundwater quality monitoring for the sustainable management of water resources in the Bam–Narmashir region.
Keywords
Subjects

Aller, L., Bennett, T., Lehr, J.H., Petty, R.J. & Hackett, G., 1987. DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings. EPA/600/2-87/035, U.S. Environmental Protection Agency, Robert S. Kerr Environmental Research Laboratory, Ada, OK.
Aneesh, T.D., Nair, A.M., Prasad, K.R., Arun, T.J. & Srinivas, R., 2022. Groundwater vulnerability assessment of an urban coastal phreatic aquifer in India using GIS-based DRASTIC model. Groundwater for Sustainable Development, 18, 100810.
Asghari Moghadam, A., Ghorakhani, M., Nadiri, A. & Gorji, M., 2017. Assessing intrinsic vulnerability of the Ardabil Plain aquifer using DRASTIC, SINTACS, and SI methods. Journal of Geography and Planning, 21(61), 57–74.
Bagheri, F., Karami, G.H., Bagheri, R., Griffioen, J., Eggenkamp, H. & Jafari, H., 2021. Geochemical and multi-isotopes (δ18O, δ2H, δ13C, 3H and δ37Cl) evidences to karst development and flow directions in transboundary aquifer, Northeast of Iran. Applied Geochemistry, 132, 105071.
Brand, F.S. & Jax, K., 2007. Focusing the meaning(s) of resilience: Resilience as a descriptive concept and a boundary object. Ecology and Society, 12(1), 23.
Chamanehpour, E., Sayadi, M.H. & Yousefi, E., 2020. The potential evaluation of groundwater pollution based on the intrinsic and the specific vulnerability index. Groundwater for Sustainable Development, 10, 100313.  
Civita, M. & De Regibus, C., 1995. SINTACS: A parametric system to evaluate and map groundwater vulnerability to pollution – Methodology and automation. Quaderni dell
Faal Aghdam, R., Nadiri, A. & Noveenpour, A., 2017. Assessing the vulnerability of Bilourd plain aquifer based on the combination of DRASTIC and SINTACS methods. Quantitative Geomorphological Research, 6(3), 135–150.
Gallopin, G.C., 2006. Linkages between vulnerability, resilience, and adaptive capacity. Global Environmental Change, 16(3), 293–303.
Jafarzadeh, N., Heidari, K., Meshkinian, A., Kamani, H., Mohammadi, A. A., & Conti, G.O., 2022. Non-carcinogenic risk assessment of exposure to heavy metals in underground water resources in Saravan, Iran: Spatial distribution, Monte Carlo simulation, sensitive analysis. Environmental Research, 204(Part A), 112002.
Idir, S., Khemmoudj, K., Benhoula, M. & Bouali, H., 2025. Integrating GIS-Based Vulnerability and Potential Assessments for Groundwater Management in a Semi-arid Watershed: The Oued Agrioun Case Study (Algeria). Water Conservation Science and Engineering, 10(3), 110.
Iranian Ministry of Energy – Groundwater Resources Department (2020). Groundwater Resources of Kerman Province: Hydrogeological Reports. Tehran: Ministry of Energy, Iran
Karimi, A., Kheirandish, F., Javadi Mamaghani, A., Taghipour, N., Mousavi, S.F., Aghajani, A., Zebardast, N., Faraji, M. & Fallahi, S., 2023. Identification and genotyping of Acanthamoeba spp. in the water resources of western Iran. Parasite Epidemiology and Control, 22, e00308.
Kirlas, M. C., Karpouzos, D. K., Georgiou, P. E., & Theodossiou, N., 2023. A GIS-based comparative groundwater vulnerability assessment using modified-DRASTIC, modified-SINTACS and NV index in a porous aquifer, Greece. Environments, 10(6), 95.
Kazemi, A., Esmaeilbeigi, M., Sahebi, Z. & Ansari, A., 2022. Health risk assessment of total chromium in the qanat as historical drinking water supplying system. Science of The Total Environment, 807(Part 2), 150795.
Khorrami, M. & Malekmohammadi, B., 2021. Effects of excessive water extraction on groundwater ecosystem services: Vulnerability assessments using biophysical approaches. Science of the Total Environment, 799, 149304.
Montoya, M.A., Allegretti, G., Bertussi, L.A.S. & Talamini, E., 2023. Domestic and foreign decoupling of economic growth and water consumption and its driving factors in the Brazilian economy. Ecological Economics, 206, 107737.
Motlagh, Z.K., Derakhshani, R. & Sayadi, M.H., 2023. Groundwater vulnerability assessment in central Iran: Integration of GIS-based DRASTIC model and a machine learning approach. Groundwater for Sustainable Development, 23, 101037.
Nadiri, A., Akbari, A., Noveenpour, A. & Ghorekhani, M., 2019. Assessing the vulnerability of Khoy Plain aquifer using a combined method. Water and Irrigation Management, 9(2), 251–262.
Pan, X., Chu, J. & Cheng, L., 2023. Reduction of rainfall infiltration in soil slope using a controllable biocementation method. Biogeotechnics, 1(2), 100023.
Salehi, M., Spotin, A., Hajizadeh, F., Soleimani, F. & Shokri, A., 2022. Molecular characterization of Acanthamoeba spp. from different sources in Gonabad, Razavi Khorasan, Iran. Gene Reports, 27, 101573.
Smida, H., Tarki, M., Gammoudi, N. & Dassi, L., 2023. GIS-based multicriteria and artificial neural network (ANN) investigation for the assessment of groundwater vulnerability and pollution hazard in the Braga shallow aquifer (Central Tunisia): A critical review of generic and modified DRASTIC models. Journal of Contaminant Hydrology, 259, 104245.
Tavakoli, M., Motlagh, Z.K., Sayadi, M.H., Ibraheem, I.M. & Youssef, Y.M., 2024. Sustainable Groundwater management using machine learning-based DRASTIC model in rurbanizing riverine region: A case study of Kerman Province, Iran. Water, 16(19), 2748.
Zardosht, Z., Khosravani, F., Rezaei, S., Ghaderi, S. & Hassani, G., 2023. The impact of two insecticides on the pollutant cycle and quality of surface and groundwater resources in the irrigated lands of Yasuj, Iran. Heliyon, 9(6), e17636.
Zendehbad, M., Cepuder, P., Loiskandl, W. & Stumpp, C., 2019. Source identification of nitrate contamination in the urban aquifer of Mashhad, Iran. Journal of Hydrology: Regional. Studies, 25, 100618.