مجله آب و فاضلاب

مجله آب و فاضلاب

Development and Assessment of a Hybrid Index for Groundwater Drought, Case Study: Zayandehrood River Basin, Iran

نوع مقاله : مقاله پژوهشی

نویسندگان
1 MSc. Graduated, Dept. of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
2 Prof., Dept. of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
3 Assoc. Prof., Dept. of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
10.22093/wwj.2026.595906.3572
چکیده
Drought is one of the most complex and damaging natural hazards, particularly in arid and semi-arid regions where increasing dependence on groundwater has intensified pressure on already vulnerable water resources. Groundwater drought develops differently from meteorological and surface-water drought and may persist for longer periods due to the delayed response of groundwater systems to climatic variability. Therefore, comprehensive assessment of groundwater drought requires consideration of multiple hydrogeological, climatic, environmental, and anthropogenic factors. This study develops a Hybrid Groundwater Drought Index for the spatial and temporal assessment of groundwater drought vulnerability in the Zayandehrood River Basin, central Iran. A 21-year dataset covering the period 2000–2020 was analyzed using a Geographic Information System. The proposed index integrates ten static and dynamic indicators, including land use, surface, saturated and unsaturated soil layers, hydraulic conductivity, groundwater level, precipitation penetration, electrical conductivity, saturated-layer thickness, and reservoir releases. Each indicator was classified according to its vulnerability to groundwater drought and assigned a rating from 0 to 10. Greater weights were assigned to precipitation penetration and saturated-layer thickness because of their critical roles in groundwater recharge and storage. The resulting spatial layers were integrated in GIS to produce annual groundwater drought maps and define drought triggers. Results indicated that the Zayandehrood River Basin experienced 15 dry years, 2 normal years, and 4 wet years during the study period. The year 2000 was identified as the wettest year, whereas 2020 represented one of the most severe drought conditions, with very extreme drought occurring in the eastern and western parts of the basin and extreme drought in the central and southern areas. Comparison with the Groundwater Resource Index demonstrated that HGDI provides a more comprehensive representation of drought severity and spatial variability because it incorporates multiple groundwater-related and external controlling factors rather than relying primarily on groundwater storage changes. The proposed HGDI can therefore serve as an effective tool for groundwater drought monitoring, early warning, vulnerability assessment, and sustainable groundwater management in drought-prone regions.
کلیدواژه‌ها
موضوعات

Aller, L., Bennet, T., Lehr, J. H. and Petty, R. J., 1987. DRASTIC: A standardized system for evaluating groundwater pollution using hydrogeologic settings. EPA-600/2-87-035, 38-57. [Link]
American Meteorological Society, 1997. AMS Policy Statement on Meteorological Drought. Boston, USA. [Link]
Babiker, I. S., Mohamed, M. A. 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(1-3), 127-40. https://doi.org/10.1016/j.scitotenv.2004.11.005.
Babre, A., Kalvāns, A., Avotniece, Z., Retiķe, I., Bikše, J., Popovs, K. et al., 2022. The use of predefined drought indices for the assessment of groundwater drought episodes in the Baltic States over the period 1989-2018. Journal of Hydrology: Regional Studies, 40, 101049, https://doi.org/10.1016/j.ejrh.2022.101049.
Calow, R. C., Robins, N. S., MacDonald, A. M., MacDonald, D. M. J., Gibbs, B. R., Orpen, W. R. G. et al., 1997. Groundwater management in drought-prone areas of Africa. International Journal of Water Resources Development, 3(2), 241-262. https://doi.org/10.1080/07900629749863.
Calow, R. C., MacDonald, A. M., Nicol, A. L., Robins, N. S., 2010. Ground water security and drought in Africa: linking availability, access, and demand. Groundwater, 48(2), 246-256. https://dx.doi.org/10.1111/j.1745-6584.2009.00558.x.
Chang, T. J. and Teoh, C. B., 1995. Use of the kriging method for studying characteristics of groundwater droughts. JAWRA Journal of the American Water Resources Association, 31(6), 1001-1007. https://dx.doi.org/10.1111/j.1752-1688.1995.tb03416.x.
Eltahir, E. A. B. and Yeh, P. J. F., 1999. On the asymmetric response of aquifer water level to floods and droughts in Illinois. Water Resources Research, 35(4), 1199-1217. https://dx.doi.org/10.1029/1998WR900071.
Guttman, J., 2000. Hydrogeology of the Eastern Aquifer in the Judea Hills and Jordan Valley. Multi-Lateral Project 02WT9719, Sub Project B, Final: Report: Mekorot Report No. 468.
Hassan, M. M., Atkins, P. J. and Dunn, C. E., 2003. The spatial pattern of risk from arsenic poisoning: a Bangladesh case study. Journal of Environmental Science and Health, Part A, Toxic/Hazardous Substances and Environmental Engineering, 38(1), 1–24. https://doi.org/10.1081/ESE-120016590.
Isfahan Regional Water Company, 2020. Report on the Balance of Water Resources of the Zayandeh Rood River Basin in 2020, Isfahan Regional Water Company. Isfahan, Iran. (In Persian).
Karamouz, M., Rasouli, K. and Nazif, S., 2009. Development of a hybrid index for drought prediction: case study. Journal of Hydrologic Engineering, 14(6), 617-627. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000022.
Kashani, A. and Safavi, H. R., 2025. Assessing groundwater drought in Iran using GRACE data and machine learning. Scientific Reports, 15, 14671. https://doi.org/10.1038/s41598-025-99342-9.
Kumar, C. P., 2012. Climate change and its impact on groundwater resources. International Journal of Engineering and Science, 1(5), 43-60. [Link]
Li, B. and Rodell, M., 2014. Evaluation of a model-based groundwater drought indicator in the conterminous US. Journal of Hydrology, 526, 78-88. https://doi.org/10.1016/j.jhydrol.2014.09.027.
Lowry, J. H. Jr., Miller, H. J. and Hepner, G. F., 1995. A GIS-based sensitivity analysis of community vulnerability to hazardous contaminants on the Mexico/U.S. border. Photogrammetric Engineering and Remote Sensing, 61(11), 1347-1359. [Link]
Mall, R. K., Gupta, A., Singh, R., Singh, R. S. and Rathore, L. S., 2006. Water resources and climate change: an Indian perspective. Current Science, 90(12), 1610-1626. http://www.jstor.org/stable/24091910.
Mendicino, G., Senatore, A., Versace, P., 2008. A groundwater resource index (GRI) for drought monitoring and forecasting in a Mediterranean climate. Journal of Hydrology, 357(3-4), 282–302. https://doi.org/10.1016/j.jhydrol.2008.05.005.
Mishra, A. K. and Singh, V. P., 2010. A review of drought concepts. Journal of Hydrology, 391(1-2), 202-216. https://doi.org/10.1016/j.jhydrol.2010.07.012.
Pandey, R. P., Pandey, A., Galkate, R. V., Byun, H. R. and Mal, B. C., 2010. Integrating hydro-meteorological and physiographic factors for assessment of vulnerability to drought.  Water Resources Management, 24, 4199-4217. https://doi.org/10.1007/s11269-010-9653-5.
Pandey, S., Pandey, A. C., Nathawat, M. S., Kumar, M. and Mahanti, N. C., 2012. Drought hazard assessment using geoinformatics over parts of Chotanagpur plateau region, Jharkhand, India. Natural Hazards, 63, 279-303. https://doi.org/10.1007/s11069-012-0093-9.
Popat, E., Reinecke, R. and Hartmann, A., 2026. Quantifying groundwater drought hazards with the groundwater level deficit anomaly index (GLDAI). Hydrogeology Journal, 34, 557-571. https://doi.org/10.1007/s10040-026-03021-6.
Qian, H., Li, P., Howard, K. W. F., Yang, C. and Zhang, X., 2012. Assessment of groundwater vulnerability in the Yinchuan Plain, Northwest China using OREADIC. Environmental Monitoring and Assessment, 184, 3613-3628. https://doi.org/10.1007/s10661-011-2211-7.
Rezaei, F., Safavi, H. R., Ahmadi, A., 2013. Groundwater vulnerability assessment using fuzzy logic: a case study in the Zayandehrood aquifers, Iran. Environmental Management, 51(1), 267-277. https://doi.org/10.1007/s00267-012-9960-0.
Rutulis, M., 1989. Groundwater drought sensitivity of Southern Manitoba. Canadian Water Resources Journal / Revue Canadienne Des Ressources Hydriques, 14(1), 18-33. https://doi.org/10.4296/cwrj1401018.
Safavi, H. R., Khoshoei Esfahani, M. and Zamani, A. R., 2014. Integrated index for assessment of vulnerability to drought, Case study: Zayandehrood River Basin, Iran. Water Resources Management, 28(6), 1671-1688.  https://doi.org/10.1007/s11269-014-0576-4.
Safavi, H. R., Raghibi, V., Mazdiyasni, O. and Mortazavi-Naeini, M., 2017. A new hybrid drought-monitoring framework based on nonparametric standardized indicators. Hydrology Research, 49(1), 222-236. https://doi.org/10.2166/nh.2017.266.
Saidi, S., Bouri, S. and Ben Dhia, H., 2010. Groundwater vulnerability and risk mapping of the Hajeb-jelma aquifer (Central Tunisia) using a GIS-based DRASTIC model. Environmental Earth Sciences, 59, 1579-1588. https://doi.org/10.1007/s12665-009-0143-0.
Smith, V. A. and Maidment, D. R., 2008. Texas Integrated Drought Information System: a Prototype of the Trinity River Basin. The University of Texas at Austin, USA. [Link]
Steinemann, A. C. and Cavalcanti, L. F., 2006. Developing multiple indicators and triggers for drought plans. Journal of Water Resources Planning and Management, 132(3), 164-174. https://doi.org/10.1061/(ASCE)0733-9496(2006)132:3(164).
Tigkas, D., Vangelis, H., Tsakiris, G., 2015. DrinC: a software for drought analysis based on drought indices. Earth Science Informatics, 8(3), 697–709. https://doi.org/10.1007/s12145-014-0178-y.
Tigkas, D, Vangelis, H., Tsakiris, G., 2016. Introducing a modified reconnaissance drought index (RDIe) incorporating effective precipitation. Procedia Engineering, 162, 332-339. https://doi.org/10.1016/j.proeng.2016.11.072.
Tigkas, D., Vangelis, H. and Tsakiris, G., 2017. An enhanced effective reconnaissance drought index for the characterisation of agricultural drought. Environmental Processes, 4, 137-148. https://doi.org/10.1007/s40710-017-0219-x.
Tsakiris, G., Loukas, A., Pangalou, D., Vangelis, H., Tigkas, D., Rossi, G. et al., 2007a. Drought Characterization. Drought Management Guidelines Technical Annex, Options Méditerranéennes, Series B, No. 58, Zaragoza, 85-102. [Link]
Tsakiris, G., Pangalou, D., Vangelis, H., 2007b. Regional drought assessment based on the reconnaissance drought index (RDI). Water Resources Management, 21(5), 821-833. https://doi.org/10.1007/s11269-006-9105-4.
Umar, R., Ahmed, I. and Alam, F., 2009. Mapping groundwater vulnerable zones using modified DRASTIC approach of an alluvial aquifer in parts of Central Ganga Plain, western Uttar Pradesh. Journal Geological Science of India, 73(2), 193-201. https://doi.org/10.1007/s12594-009-0075-z.
Valivand, F. and Katibeh, H., 2022. Evaluation of quantitative and qualitative management plans in Varamin Plain aquifer. Journal of Water and Wastewater, 33(4), 36-50. (In Persian). https://doi.org/10.22093/wwj.2022.315051.3197.
Villholth, K. G., Tottrup, Ch., Stendel, M. and Maherry, A., 2013. Integrated mapping of groundwater drought risk in the Southern African Development Community (SADC) region. Hydrogeology Journal, 21, 863-885. https://doi.org/10.1007/s10040-013-0968-1.
Wilhite, D. A., Glantz, M. H., 1985. Understanding: the Drought phenomenon: the role of definitions. Water International, 10(3), 111-120. https://doi.org/10.1080/02508068508686328.
Zargar, A., Sadiq, R., Naser, B., Khan, F., 2011. A review of drought indices. Environmental Reviews, 19, 333-349. https://doi.org/10.1139/a11-013.
Zavareh, M. M. J., Mahjouri, N., Rahimzadegan, M., Rahimpour, M., 2023. A drought index based on groundwater quantity and quality: application of multivariate copula analysis. Journal of Cleaner Production, 417, 137959. https://doi.org/10.1016/j.jclepro.2023.137959.