Abstract
Water quality data are required in order to compare chemical water analyses and identify water masses. R-mode factor analysis, a popular multivariate statistical tool, has been effectively used for groundwater quality studies. In this paper, the R-mode factor analysis was applied to 50 groundwater samples collected from pumping wells in the Sangan-Khaf basin which is located in the southeast of Mashhad, northeast Iran. The groundwater samples were analysed for chemical parameters. The factor analysis was then performed on the chemical data set. It can be suggested that four factors in R-mode analysis explain more than 94.31% of the total variance. The contribution of each factor at sample points, factor score, was calculated. The spatial distribution of the factor scores for each factor was mapped separately. Since the Sangan iron mine south of the study area probably affects groundwater aquifer, therefore, such studies can be used to manage the groundwater quality in the study area.
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References
Alexakis D, Kelepertsis A (1998) The relationship between the chemical composition–quality of groundwater and the geological environment in the East Attiki area, Greece. Miner Wealth 109:9–20
Aryafar A, Doulati Ardejani F (2009) Anisotropy and bedding effects on the hydrogeological regime in a confined aquifer to design an appropriate dewatering system. Int J Environ Sci Technol 6(4):563–570
Aryafar A, Doulati Ardejani F, Baafi E (2009a) Groundwater recovery simulation for determination of post-mining lake formation at the Sangan iron mine, Mashhad, Iran. J Geology Min Res 1(5):111–117
Aryafar A, Doulati Ardejani F, Singh RN (2009b) Numerical modeling of groundwater inflow from a confined aquifer into Sangan open pit mine, northeast Iran. Geomechanics and Geoengineering: An International Journal 4(3):189–199
Dalton MG, Upchurch SG (1978) Interpretation of hydrochemical facies by factor analysis. Ground water 16(4):228–233
Davis JC (1987) Statistics and data analysis in geology (2nd ed.). Wiley, New York, 656 pp
Dawdy RD, Feth HJ (1966) Application of factor analysis in the study of chemistry of groundwater quality, Mojave River Valley, California. Water Resources Res 3(2):505–510
Dong-lin D, Qiang WU, Rui Z, Ying-xia S, Shu-ke C, Pei L, Sho-qiang L, Cen-cen B, Zhen-qi L, Song-lin H (2007) Environmental characteristics of groundwater: an application of PCA to water chemistry analysis in Yulin. J China Univ Min & Technol 17(1):0073–0077
Fenton O, Richards KG, Kirwan L, Khalil MI, Healy MG (2009) Factors affecting nitrate distribution in shallow groundwater under a beef farm, in south eastern Ireland. J Environ Manag 90(10):3135–3146
GEO-SLOPE International Ltd. (2008). SEEP/W for finite element seepage analysis. http://www.geo-slope.com/products/seepw.asp
International Minerals Engineering Consulting Company (2004) Final Report of the complementary studies on water resources in Sangan-Khaf basin in order to supply the water required for Sangan project using computer model, 254 pp
Kaiser HF (1958) The varimax criteria for analytical rotation in factor analysis. Psychometrika 23(3):187–200
Krumbein WC (1957) Comparison of percentage and ratio data in facies mapping. J Sediment Petrol 27:293–297
Kumru MN, Bakac M (2003) R-mode factor analysis applied to the distribution of element in soils from the Aydin Basin, Turkey. J Geochem Explor 77:81–91
Love D, HallBauer D, Amos A, Hranova R (2004) Factor analysis as a tool in groundwater quality management: two southern African case studies. Phys chemistry Earth 29:1135–1143
Marklas O, Bentley LR, Lunn SRD (2006) Principal component analysis of groundwater chemistry data during enhanced bioremediation. Water, Air and Soil Pollut 169:395–411
Olmez I, Beal JW, Vilaaume JF (1994) A new approach to understanding multiple-source groundwater contamination: factor analysis and chemical mass balances. Water Res 28:1095–1101
Omo-Irabor OO, Olobaniyi SB, Oduyemi K, Akunna J (2008) Surface and groundwater water quality assessment using multivariate analytical methods: a case study of the Western Niger Delta, Nigeria. Physics and Chemistry of the Earth, Parts A/B/C 33(8–13):666–673
Papatheothorou G, Ferentinos G (1994) Applications of statistical multivariate analysis on pollution, with heavy metals of the marine environment. Proceedings of the 30th Geography Congress
Prasanna MV, Chidambaram S, Srinivasamoorthy K (2010) Statistical analysis of the hydrogochemical evolution of the groundwater in hard and sedimentary aquifers system of Gadilam river basin, south India. J King Saud University Science 22(3):133–145
Reghunath R, Sreedhara Murthy TR, Raghavan BR (2002) The utility of multivariate statistical techniques in hydrochemical studies: an example from Karnatka, India. Water Res 36:2437–2442
Reyment R, Joreskog KG (1993) Applied factor analysis in the natural sciences. Cambridge University Press, London, p 371
Saager R, Singlair AJ (1974) Factor analysis of stream sediment geochemical data from the Mount Nansen area, Yujon territory, Canada. Miner Deposita 9:243–252
Shiva M (1998) Stream sediment geochemical exploration in the arid environment of East Iran. PhD thesis, the University of Natingham, UK.
Stamatis G, Lambrakis N, Alexakis D, Zagana E (2006) Groundwater quality in Mesogea Basin in eastern Attica (Greece). Hydrogeological Processes 20:2803–2818
Subbarao C, Subbarao NV, Chandu SN (1995) Characterisation of groundwater contamination using factor analysis. Environ Geol 28:175–180
Voudouris K, Lambrakis N, Papatheothorou G, Daskalaki P (1997) An application of factor analysis for the study of the hydrogeological conditions in Plio-Pleistocene aquifers of NW Achaia (NW Peloponnesus, Greece). Math Geol 29(1):43–59
Yidana SM, Banoeng-Yakubo B, Akabzaa TM (2010) Analysis of groundwater quality using multivariate and spatial analyses in the Keta basin, Ghana. J African Earth Sciences 58(2):220–234
Ziourkas K, Koukis G (1989) Sliding phenomena of Evritania multivariate data analysis. Kentro Ereunon Demosion Ergon 1–2:23–32 (in Greek)
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The authors would like to express their appreciations to the authorities of the Iron National Company of Iran who provided the facilities of mutual relations between INCI and the Shahrood University of Technology.
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Aryafar, A., Doulati Ardejani, F. R-mod factor analysis, a popular multivariate statistical technique to evaluate water quality in Khaf-Sangan basin, Mashhad, Northeast of Iran. Arab J Geosci 6, 893–900 (2013). https://doi.org/10.1007/s12517-011-0367-7
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DOI: https://doi.org/10.1007/s12517-011-0367-7