Abstract
Chemical characteristics of groundwater in the Midyan Basin (northwestern Saudi Arabia) were investigated and evaluated. A total of 72 water samples were collected from existing shallow wells and analyzed for different elements. Two multivariate statistical methods, hierarchical cluster analysis (HCA) and principal components analysis (PCA), were applied to a subgroup of the data set in terms of their usefulness for groundwater classification, and to identify the processes controlling groundwater geochemistry. The subgroup consisted of 46 water samples out of 72 samples and 24 variables included major elements (Ca2+, Na+, Mg2+, K+, Cl−, HCO3 −, NO3 −, SO4 2−), minor and trace element (SiO2, Al, As, B, Ba, Cd, Cr, F, Fe, Mo, P, Pb, Sb, Sn, Ti, and V). For water samples, four geochemically distinct clusters (i.e., C1, C2, C3 and C4) have been observed by hierarchical cluster analysis. Cr, F and Pb are the dominant ions in cluster C2. Al, As, Cd, Mo, Sb and Ti are the dominant ions in cluster C3, while B, Ca, Cl, HCO3, K, Mg, Na, SO4 and V are identified as dominant ions in the cluster C4. In the PCA, a total of five components are extracted form the data set, which explained 73.37 % of the total data variability. Among them the first component reveals strong associations between As, B, Cd, Cr, F, Mo, Pb, Sb and Ti. The second component reveals the associations between Ca, Cl, HCO3, Mg, Na, SO4 and V.
Similar content being viewed by others
References
Al-Katheeri ES, Howari FM, Murad AA (2009) Hydrogeochemistry and pollution assessment of quaternary–tertiary aquifer in the Liwa area, United Arab Emirates. Environ Earth Sci 59:581–592
APHA (American Public Health Association) (1995) Standard methods for the examination of water and wastewater, 19th edn. APHA, Washington
Babiker I, Mohamed M, Hiyama T (2007) Assessing groundwater quality using GIS. Water Resour Manag 21:699–715
Batayneh A, Zumlot T (2012) Multivariate statistical approach to geochemical methods in water quality factor identification; application to the shallow aquifer system of the Yarmouk Basin of north Jordan. Res J Environ Earth Sci 4(7):756–768
Batayneh A, Al-Momani I, Jaradat R, Awawdeh M, Rawashdeh A, Ta’any R (2008) Weathering processes effects on the chemistry of the main springs of the Yarmouk Basin, north Jordan. J Environ Hydrol 16:20
Batayneh A, Elawadi E, Mogren S, Ibrahim E, Qaisy S (2012) Groundwater quality of the shallow alluvial aquifer of wadi Jazan (southwest Saudi Arabia) and its suitability for domestic and irrigation purpose. Sci Res Essays 7:352–364
Bokhari M (1981) Explanatory notes to the reconnaissance geologic map of the Maqna Quadrangle, Sheet 28/34 D, Kingdom of Saudi Arabia. Saudi Arabian Directorate General of Mineral Resources Open File Report DGMR-OF-01-16. p 32
Clark M (1986) Explanatory notes to the geologic map of the Al Bad’ Quadrangle, sheet 28A, Kingdom of Saudi Arabia. Saudi Arabian Deputy Ministry for Mineral Resources. Geoscience Map Series GM-81A, C, scale 1:250,000, with text. p 46
Cloutier V, Lefebvre R, Therrien R, Savard M (2008) Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system. J Hydrol 353:294–313
Ghrefat HA, Yusuf N, Jamarh A, Nazzal J (2012) Fractionation and risk assessment of heavy metals in soil samples collected along Zerqa River, Jordan. Environ Earth Sci 66:199–208
Jado R, Hotzl H, Roscher B (1990) Development of sedimentation along the Saudi Arabian Red Sea coast. J King Abdulaziz Univ 3:47–62
Reddy AGS, Saibaba Boroa, Sudarshan Ganji (2012) Hydrogeochemical characteristics of contaminated groundwater in Patanchera industrial area, southern India. Envrion Monit Asses 184:3557–3576
Reimann C, Filzmoser P (2000) Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data. Environ Geol 39:1001–1014
Subyani A, Al Ahmadi M (2010) Multivariate statistical analysis of groundwater quality in Wadi Ranyah, Saudi Arabia. JAKU: Earth Sci 21(2):29–46
Hughes GW, Johnson R (2005) Lithostratigraphy of the Red Sea region. GeoArabia 10:140–159
Hughes GW, Perincek D, Abu-Bshait A, Jarad A (1999) Aspects of Midyan geology, Saudi Arabian Red Sea. Saudi Aramco J Technol Winter 1999(2000):12–42
Xiao J, Jin Z, Zhang F, Wang J (2012) Major ion geochemistry of shallow groundwater in the Qinghai Lake catchment, NE Qinghai-Tibet Plateau. Environ Earth Sci 67:1331–1344
Zhang C, Manheim F, Hinde J, Grossman J (2005) Statistical Characterization of a large geochemical database and effect of sample size. Appl Geochem 20(10):1857–1874
Acknowledgments
This work is financially supported by the National Plan for Science, Technology and Innovation (NPST) program, King Saud University, Saudi Arabia (Project No. 11-ENV1589-02). Thanks are also extended to the General Directorate of Water in Al-Bad’ City, Ministry of Water and Electricity, Saudi Arabia for their help and valuable information during the course of field works.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zumlot, T., Batayneh, A., Nazal, Y. et al. Using multivariate statistical analyses to evaluate groundwater contamination in the northwestern part of Saudi Arabia. Environ Earth Sci 70, 3277–3287 (2013). https://doi.org/10.1007/s12665-013-2392-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12665-013-2392-1