NDLI: Multivariate water quality assessment from the Tamiraparani river basin, Southern India

Content Provider	Springer Nature Link
Author	Kumarasamy, P. Arthur James, R. Dahms, Hans Uwe Byeon, Chan Woo Ramesh, R.
Copyright Year	2013
Abstract	The hydrochemistry of a perennial river has been investigated with multivariate cluster analysis (CA) and principal component analysis/factor analysis (PCA/FA). The aim was to investigate parameters responsible for spatial and temporal variations of river water quality. Water quality was monitored along the river basin at 20 different sites over a period of 1 year from July, 2008 to June, 2009. Multivariate statistics revealed that Ca$^{2+}$, Mg$^{2+}$, Na$^{+}$, K$^{+}$, HCO$_{3}$ $^{−}$, Cl$^{−}$, H$_{4}$SiO$_{4}$, SO$_{4}$ $^{2−}$, NO$_{2}$ $^{−}$, and PO$_{4}$ $^{3−}$ were influenced by seasonal and spatial variations and that water quality was in the first place determined more by natural weathering processes than by anthropogenic activities. We could prove by (a) Box and Whisker plot, (b) matrix scatter score mean plot, (c) ternary plot, and (d) Gibbs plot that the chemistry of river water is controlled by lithogenic weathering processes. The higher concentration of dissolved silica during summer and the pre-monsoon season is explained by natural and tropical climatic conditions of the environment.
Starting Page	2441
Ending Page	2451
Page Count	11
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	71
Issue Number	5
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-07-13
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Tamiraparani river Factor analysis Box and Whisker plot Cluster analysis Water quality Geology
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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