Journal of Geosciences and Geomatics
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Journal of Geosciences and Geomatics. 2019, 7(1), 9-14
DOI: 10.12691/jgg-7-1-2
Open AccessArticle

Application of Multivariate Statistical Techniques for the Interpretation of Groundwater Quality in Gombe and Environs, North-East Nigeria

I.A Kwami1, , J.M Ishaku2, Y.S Hamza2, A.M Bello1 and S. Mukkafa3

1Geology Department, Gombe State University, P.M.B.0127, Gombe, Nigeria

2Department of Geology, School of Physical Science, Modibbo Adama University of Technology, PMB 2076, Yola, Nigeria

3Department of environmental management and toxicology, Federal University Dutse, P.M.B 7156, Dutse, Jigawa State, Nigeria

Pub. Date: January 21, 2019

Cite this paper:
I.A Kwami, J.M Ishaku, Y.S Hamza, A.M Bello and S. Mukkafa. Application of Multivariate Statistical Techniques for the Interpretation of Groundwater Quality in Gombe and Environs, North-East Nigeria. Journal of Geosciences and Geomatics. 2019; 7(1):9-14. doi: 10.12691/jgg-7-1-2

Abstract

A total of 50 groundwater samples were collected from Hand dug Wells and Bore holes in Gombe area and environs and were analyzed for their physio-chemical characteristics aimed at interpreting the groundwater quality. Multivariate statistical methods, namely: the hierarchical cluster analysis (HCA), and the principal component analysis (PCA) were used to study the spatial variations of the most significant water quality variables and to determine the dominant processes affecting the water quality. Principal Component Analysis (PCA) on the data indicates three factors which explain about 61.004% of the total variance, and suggests temporary hardness of water, salinity of the groundwater and dissolution of bedrock material as the dominant processes affecting the water quality in the study area. Whereas hierarchical cluster analysis HCA indicate two clusters, and suggests salinity of the groundwater, natural mineralization, bedrock dissolution, Temporary Hardness and anthropogenic contamination as the dominant processes affecting the water quality parameters in the study area.

Keywords:
hierarchical cluster analysis (HCA) principal component analysis (PCA) groundwater chemistry physio-chemical and Gombe

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References:

[1]  Zaporozec A (1981). Groundwater pollution and its sources. Geo. J., Vol. 5(5), pp. 457-471.
 
[2]  Carter A.D, Palmer R.C, And Monkhouse R.A (1987). Mapping the vulnerability of groundwater to pollution from agricultural practice, particularly with respect to nitrate in Vulnerability of Soil and Groundwater to pollutants (ed. van Duijvenbooden W, Waegeningh HG). TNO Committee on Hydrological Research. The Hague, Proceedings and Imformation, Vol. 38: pp. 333-342.
 
[3]  Wadie, A.S.T., Abduljalil, G.A.D.S. (2010). Assessment of hydrochemical quality of groundwater under some urban areas within Sana’a Secretariat. Ecletica quimica. Vol. 35(1): pp. 77-84.
 
[4]  Belkhiri, L., Boudoukha, A., Mouni, L., Baouz, T., (2010). Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater – a case study: Ain Azel plain (Algeria). Geoderma Vol. 159, pp. 390-398.
 
[5]  Grande, J.A., Borrego, J., Torre, M.L. and Sainz, A. (2003) Application of cluster analysis to the geochemistry zonation of the estuary waters in the tinto and odiel rivers (Huelva, Spain). Environmental Geochemistry and Health, 25: 233-246.
 
[6]  Singh, S. K., Singh, C. K., Kumar, K. S., Gupta, R. & Mukherjee, S. (2009). Spatial-temporal monitoring of groundwater using multivariate statistical techniques in Bareilly District of Uttar Pradesh, India. Journal of Hydrology and Hydromechanics 57(1), 45-54.
 
[7]  Machado, C. J. F., Santiago, M. M. F., Frischkorn, H. & Filho, J. M. (2008) Clustering of groundwaters by Q- ode factor analysis according to their hydrogeochemical origin: a case study of the Cariri Valley (Northern Brazil) Wells. Water SA 34 (5), 651-656.
 
[8]  Rao, Y. R. S., Keshari, A. K. & Gosain, A. K.(2010) Evaluation of regional groundwater quality using PCA and geostitistics in the urban coastal aquifer, East Coast of India. International Journal of Environment and Waste Management 5 (1-2), 163-180.
 
[9]  Singh, K. P., Malik, A., Singh, V. K., Mohan, D. & Sinha, S. (2005) Chemometric analysis of groundwater quality data of alluvial aquifer of Gangetic plain, North India. Analytica Chimia Acta 550 (1-2), 82-91.
 
[10]  Barcelona, M.J., Gibbs, J.P., Helfrich, J.A And Garske, E.E., (1985), Practical guide for groundwater sampling, ISWS contract report 374. Illions state water survey campaign, Illions, p. 94.
 
[11]  Tabachnick, B. G. and Fidell, L. (2006). Using Multivariate Statistics (5th Ed.). Allyn & Bacon, NY.
 
[12]  Davis, J.C. (2002). Statistics and Data Analysis in Geology. John Wiley & Sons Inc., NY.
 
[13]  Mary, I.A., Ramkumar, T., Venkatramanan, S. (2011). Application of Statistical Analysis for the Hydrogeochemistry of Saline Groundwater in Kodiakarai, Tamilnadu, India. J. Coastal Res. pp. 1-10.
 
[14]  Mohapatra, P.K., Vijay, R., Pujari, P.R., Sundaray, S.K., Mohanty, B.P. (2011). Determination of processes affecting groundwater quality in the coastal aquifer beneath Puri City, India: a multivariate statistical approach. Water Science and Technology. 64(4): 809-817.
 
[15]  Avdullahi, S., Fejza, I., Tmava, A. (2013). Evaluation of groundwater pollution using multivariate statistical analysis: A case study from Burimi area, Kosovo. J. Biodiversity and Environ. Sci. 3(1): 95-102.
 
[16]  Lu, K.L., Liu, C., Jang, C.S. (2011). Using multivariate statistical methods to assess the groundwater quality in an arsenic-contaminated area of Southwestern Taiwan. Environ. Monit. Assess. 235p.
 
[17]  Wu Emy, Kuo, S. (2012). Applying a Multivariate Statistical Analysis Model to Evaluate the Water Qiuality of a Watershed. Water Environment Research. 84(12): 2075-2085.
 
[18]  Ogunribido T., Henry T. (2018). Bacteriological and hydrogeochemical investigation of surface water and groundwater in Ikare-Akoko, Nigeria. International Journal of Advanced Geosciences v 6(1). p27-33
 
[19]  Fetter, C.W., (1990). Applied hydrogeology. CBS Publishers and Distributors, New Delhi, India, p567.
 
[20]  Evans, C.D., Davies, T.D., Wigington, P.J. Tranter. M., Kretser, W.A. (1996). Use of factor analysis to investigate processes controlling the chemical composition of four streams in Adirondack Mountains, New York. J. Hydrol. 185: 297-316.
 
[21]  Ishaku, J.M., Ankidawa, B., & Abbo, A. (2015). Groundwater Quality and Hydrogeochemistry of Toungo Area, Adamawa State, North Eastern Nigeria. American Journal of Mining and Metallurgy, v 3(3), p63-73.
 
[22]  Olasehinde P. I, Amadi A. N, Dan-Hassan M. A, Jimoh M. O, Okunlola I. A. (2015) Statistical Assessment of Groundwater Quality in Ogbomosho, Southwest Nigeria. American Journal of Mining and Metallurgy v.3 (1) p 21-28.
 
[23]  Ishaku, J.M., Ahmed, A.S., And Abubakar, M.A. (2012). Assessment of groundwater quality using water quality index and GIS in Jada, northeastern Nigeria. In: International Research Journal of Geology and Mining (IRJGM) Vol. 2 (3) pp. 54-61.
 
[24]  Ishaku, J.M. (2011). Assessment of groundwater quality index for Jimeta-Yola area, Northeastern Nigeria, Journal of Geology and Mining Research Vol. 3(9), pp. 219-231.
 
[25]  Hussain, M., Ahmad, S.M. and Abderrahman, W. (2008) Cluster analysis and quality assessment of logged water at an irrigation project, eastern Saudi Arabia. J. Environmental Management, 86: 297-307.