Aqdar, H., and Mohammadyari, F., (2014). Using the cluster analysis statistical method to assess the quality of underground water in the Mehran and Dehlran plains. The first international conference on new findings in agricultural sciences, natural resources and environment. March 25, Tehran.
Alberto, W.D., D.M. Del Pilar, A.M. Valeria, P.S. Fabiana, H.A. Cecilia and B.M. de Los A´ Angeles. (2000). Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suqui´a river basin (Co´ rdobaArgentina). Water Research. 35, 2881-2894.
Alizadeh, A., (2003) Principles of applied hydrology. Astan Quds Publishing House., fourth edition.
Belkhiri, B., Boudoukha, A., Mouni, L., Baouz, T., (2010)- Multivariate statistical characterization of groundwater quality in Ain Azel plain, Algeria, African Journal of Environmental Science and Technology Vol. 4, 526-534.
Chitsazan, M., Eilbaighi, M., Pourtabari, M.R., (2018). Evaluation of groundwater nitrate pollution based on the ma components method and factor analysis (Case study: Karaj plain aquifer). Journal of Ecohydrology 4, 1119-1133.
Dinpajoh, E., (2022). Clustering observation wells of Dasht Khoi aquifer in terms of water quality using, Hydrogeology, 7(1), 25-41.
Ebadati, N., (2014), investigation of qualitative changes in Ivanki Plain underground water resources. Journal of Eco-Hydrology (2), 394-383.
Ghadimi, F.,(2016). The use of multivariate statistical methods in the analysis of earth science and environmental data. First edition, Arak University of Technology Publications, 76.
Guler, c., Thyne, G. D., McCray, J. E. & Turner, A. K., (2002) - Evaluation of graphical and multivariate statistical methods for classification of water chemistry data, Hydrogeology Journal, 10, 455-474.
Guey-Shin, Sh, Bai-You, Ch, Chi-Ting, Ch, Pei-Hsuan, Y, Tsun-Kuo, Ch, (2011). Applying Factor Analysis Combined with Kriging and Information Entropy Theory for Mapping and Evaluating the Stability of Groundwater Quality Variation in Taiwan Int. J. Environ. Res. Public Health, 8, 1084-1109.
Hounslow, A., (1995). Water quality data: analysis and interpretation. CRC press.
Igibah, Ch., Tanko, j., (2019). Assessment of urban groundwater techniques: a case study in the Abuja, quality using Piper trilinear and multivariate North- central, Nigeria. Environmental Systems Research,8, (14),
Jalali L, Asghari Moghaddam A (2012) Determination of hydrogeochemical status and salinity trend in the aquifer of Khoy plain using statistical and hydrologic methods. Ecological Journal 39(2), 113-122.
Kalantari, N., Shakhzadeh, E., Mohamadi, H., (2022). Evaluation of the hydrogeochemical status of the underground water of the Aghili aquifer with emphasis on statistical methods. Hydrogeology, 6(2), 95-108.
Kalantari, N., Irani, E., Mohamadi, H., (2022). Quantitative and qualitative investigation of the Baghmolek aquifer using statistical analysis methods, hydrochemical methods and GIS. Hydrogeology, 7(1), 11-24.
Rajmohan, N., Elango, L., (2004). Identification and evolution of hydrogeochemical processes in the groundwater environment in an area of the Palar and Cheyyar River Basins, Southern India. Environmental Geology, 46(1), 47-61.
Wolfe, D.W., Henderson, D.w., Hsiao, T.c., and Alvins, A., (1988), “Interactive effect on senescence of maize”, Photosynthetic decline and longevity of individual leaves. Agron. J. 80, 865-870.
Wu, J., Li, P., Qian, H., Duan, Z., Zhang, X., (2014), Using correlation and multivariate statistical analysis to identify hydrogeochemical processes affecting the major ion chemistry of waters: a case study in Laoheba phosphorite mine in Sichuan, China. Arabian Journal of Geosciences, 7(10), 3973-3982.
Wu, C., Feng, C., Wu, X., Zhu, G., Zhang, Y., (2021).Hydrogeochemical characterization and quality assessment of groundwater using self-organizing maps in the Hangjinqi gasfield area, Ordos Basin, NW China. Geoscience Frontiers, 12(2), 781-790.
Zhao, Y., Xia, X., Yang, Z., Wang, F., (2012). Assessment of Water Quality in Baiyangdian Lake using multivariate statistical techniques.Procedia Environmental Sciences, 6. 1213-1226.
)