Seasonal groundwater-quality variability across the Varthur Catchment, Bangalore Urban District, was assessed using R-mode factor analysis applied independently to pre- and post-monsoon 2023 hydro chemical data from 58 bore wells. The correlation matrix showed strong positive associations among EC, TDS, TH, Ca, Mg, Na, Cl and SO4 in both seasons, indicating that mineral dissolution and rock-water interaction govern groundwater mineralization. Four and three factors were retained for the pre- and post-monsoon datasets, explaining 77.22% and 72.70% of total variance, respectively. In both seasons, Factor I loaded heavily on Ca, Mg, Cl, SO4, EC, TH and TDS and is interpreted as a hardness-mineralization factor reflecting geogenic rock-water interaction. Factor II reflected alkali enrichment and ion exchange, dominated by K pre-monsoon and by pH post-monsoon, while a distinct carbonate/bicarbonate factor emerged in both seasons. A separate nitrate-dominated factor (loading 0.972) was retained pre-monsoon, indicating concentrated anthropogenic contamination during the dry season; post-monsoon nitrate loadings were weak and diffuse, consistent with dilution by monsoon recharge. Spatial mapping of factor scores showed that hardness-mineralization zones coincide with deeper water tables and dense urban development in the south-central and northern catchment, whereas nitrate hotspots persist near dense settlement and residual agriculture in the north. Overall, Varthur groundwater chemistry is governed by lithogenic weathering and carbonate equilibrium, with a superimposed, seasonally modulated anthropogenic nitrate signal.
References
[1]
Marghade, D., Malpe, D.B., Duraisamy, K., Patil, P.D. and Li, P. (2020) Hydrogeochemical Evaluation, Suitability, and Health Risk Assessment of Groundwater in the Watershed of Godavari Basin, Maharashtra, Central India. Environmental Science and Pollution Research, 28, 18471-18494. https://doi.org/10.1007/s11356-020-10032-7
[2]
Dalton, M.G. and Upchurch, S.B. (1978) Interpretation of Hydrochemical Facies by Factor Analysis. Groundwater, 16, 228-233. https://doi.org/10.1111/j.1745-6584.1978.tb03229.x
[3]
Ashley, R.P. and Lloyd, J.W. (1978) An Example of the Use of Factor Analysis and Cluster Analysis in Groundwater Chemistry Interpretation. Journal of Hydrology, 39, 355-364. https://doi.org/10.1016/0022-1694(78)90011-2
[4]
Güler, C., Thyne, G.D., McCray, J.E. and Turner, K.A. (2002) Evaluation of Graphical and Multivariate Statistical Methods for Classification of Water Chemistry Data. Hydrogeology Journal, 10, 455-474. https://doi.org/10.1007/s10040-002-0196-6
[5]
Thomas, E.O. (2023) Evaluation of Groundwater Quality Using Multivariate, Parametric and Non-Parametric Statistics, and GWQI in Ibadan, Nigeria. Water Science, 37, 117-130. https://doi.org/10.1080/23570008.2023.2221493
[6]
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, 11601-11617. https://doi.org/10.1007/s11356-017-8681-6
[7]
Vajrappa, H.C. and Rajadhan Singh, N. (2004) Factor Analysis of Hydrochemical Data of Suvarnamukhi Sub-Basin of Arkavathi River, Bangalore District, Karnataka. Journal of Applied Hydrology, 17, 32-37. https://www.worldcat.org/title/journal-of-applied-hydrology/oclc/22806226
[8]
Davis, J.C. (1973) Statistics and Data Analysis in Geology. John Wiley & Sons.
[9]
Kaiser, H.F. (1958) The Varimax Criterion for Analytic Rotation in Factor Analysis. Psychometrika, 23, 187-200. https://doi.org/10.1007/bf02289233
[10]
Liu, C., Lin, K. and Kuo, Y. (2003) Application of Factor Analysis in the Assessment of Groundwater Quality in a Blackfoot Disease Area in Taiwan Region. Science of the Total Environment, 313, 77-89. https://doi.org/10.1016/s0048-9697(02)00683-6