Hydro-geochemistry of the Asadabad plain, West of Iran: Application of statistical methods

Document Type : Research Paper


1 Faculty of Earth Sciences, Shahrood University of Technology, Shahrood, Iran

2 Groundwater Studies Group, Hamedan Regional Water Authority, Hamedan, Iran

3 Department of Agricultural Sciences, Sayyed Jamaleddin Asadabadi University, Hamedan, Iran


Groundwater is basically known to be an essential source for drinking and agricultural uses. Therefore, the study of water resources is of great significance to manage its quality and control related pollutions. There are various ways to survey the quality of groundwater among which the statistical methods like cluster analysis and principal component analysis (PCA) are widely used. In this paper, a new method is introduced to determine aquifer hydrochemistry in the areas with similar quality characterization. After analyzing water samples in the laboratory, as the first step, the factor analysis was performed to determine the main factors controlling hydrochemistry. For example, the weathering of the carbonic rocks was determined as the primary factor to be used in the suggested statistical method in Asadabad study area. Then, the parameters were changed by rating them in new classes from 1 to 3. Finally, all samples with the new quantitative rates are plotted on a four-dimensional graph to differentiate hydrochemical zones. All samples in each hydro-chemical area were compared based on ionic ratios to ensure reliability of the results. The results showed that the new statistical method has the capability for zoning samples with comparable hydrochemistry features. These findings will help in the efficient use of water sources for various human activities, saving money and time.


Main Subjects

Article Title [Persian]


Aller, L., 1985. DRASTIC: a standardized system for evaluating groundwater pollution potential using hydrogeologic settings. Robert S. Kerr Environmental Research Laboratory, Office of Research and Development, US Environmental Protection Agency.##
Amiri, V., Bhattacharya, P. and Nakhaei, M., 2021. The hydrogeochemical evaluation of groundwater resources and their suitability for agricultural and industrial uses in an arid area of Iran. Groundwater for Sustainable Development, 12: 100527.##
Aydin, H., Ustao─člu, F., Tepe, Y. and Soylu, E.N., 2021. Assessment of water quality of streams in northeast Turkey by water quality index and multiple statistical methods. Environmental forensics, 22(1-2): 270-287.##
Boateng, T.K., Opoku, F., Acquaah, S.O. and Akoto, O., 2016. Groundwater quality assessment using statistical approach and water quality index in Ejisu-Juaben Municipality, Ghana. Environmental Earth Sciences, 75(6): 1-14.##
Elumalai, V., Brindha, K., Sithole, B. and Lakshmanan, E., 2017. Spatial interpolation methods and geostatistics for mapping groundwater contamination in a coastal area. Environmental Science and Pollution Research, 24(12): 11601-11617.##
Horton, R.K., 1965. An index number system for rating water quality. J Water Pollut Control Fed, 37(3):300-306.##
Hinkelmann, R., Liang, Q., Aizinger, V. and Dawson, C., 2015. Robust shallow water models.Environmental Earth Sciences, 74(11): 7273-7274.##
Kumar, M.S., Dhakate, R., Yadagiri, G. and Reddy, K.S., 2017. Principal component and multivariate statistical approach for evaluation of hydro-chemical characterization of fluoride-rich groundwater of Shaslar Vagu watershed, Nalgonda District, India. Arabian Journal of Geosciences, 10(4): 1-17.##
Mamun, M., Kim, J.Y. and An, K.G., 2021. Multivariate statistical analysis of water quality and trophic state in an artificial dam reservoir. Water, 13(2): 186.##
Mohamed, H.A., 2005. Physico-chemical characteristics of Abu Za'baal ponds, Egypt. Mendie, U., 2005. The nature of water. The Theory and Practice of Clean Water Production for Domestic and Industrial Use. Lagos: Lacto-Medals Publishers, 1: 21.##
Machiwal, D. and Singh, P.K., 2015. Understanding factors influencing groundwater levels in hard-rock aquifer systems by using multivariate statistical techniques. Environmental Earth Sciences, 74(7): 5639-5652.##
McMurry, J. and Fay, R.C., 2004. Hydrogen, oxygen and water. McMurry Fay Chemistry. KP Hamann,(Ed.). 4th Edn. New Jersey: Pearson Education, 575, p.599.##
Wildemeersch, S., Orban, P., Ruthy, I., Grière, O., Olive, P., El Youbi, A. and Dassargues, A., 2010. Towards a better understanding of the Oulmes hydrogeological system (Mid-Atlas, Morocco). Environmental Earth Sciences, 60(8): 1753-1769.##
Radojevic, M. and Bashkin, V.N., 2006. Soil, sediment, sludge, and dust analysis. In Practical environmental analysis (pp. 266-362).##
Ren, X., Li, P., He, X., Su, F. and Elumalai, V., 2021. Hydrogeochemical processes affecting groundwater chemistry in the central part of the Guanzhong Basin, China. Archives of environmental contamination and toxicology, 80(1): 74-91.##
Sun, L.H., 2014. Statistical analysis of hydrochemistry of groundwater and its implications for water source identification: a case study. Arabian Journal of Geosciences, 7(9): 3417-3425.##
Soltani, S., Moghaddam, A.A., Barzegar, R., Kazemian, N. and Tziritis, E., 2017. Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index. Environmental monitoring and assessment, 189(9): 1-20.##
Tlili-Zrelli, B., Gueddari, M. and Bouhlila, R., 2013. Geochemistry and quality assessment of groundwater using graphical and multivariate statistical methods. A case study: Grombalia phreatic aquifer (Northeastern Tunisia). Arabian Journal of Geosciences, 6(9): 3545-3561.##

Volume 12, Issue 2
November 2022
Pages 369-378
  • Receive Date: 03 March 2022
  • Revise Date: 26 July 2022
  • Accept Date: 28 August 2022
  • First Publish Date: 28 August 2022