Journal Highlight: Chemometric and trend analysis of water quality of the South Chennai lakes: an integrated environmental study

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  • Published: Feb 16, 2015
  • Author: spectroscopyNOW
  • Channels: Chemometrics & Informatics
thumbnail image: Journal Highlight: Chemometric and trend analysis of water quality of the South Chennai lakes: an integrated environmental study
In order to bring out the nature of the factors influencing lake water composition, multivariate statistical analysis and trend analysis were performed on hydrochemical data of the lakes of South Chennai.

Chemometric and trend analysis of water quality of the South Chennai lakes: an integrated environmental study

Journal of Chemometrics, 2015, 29, 59-68
Giridharan Loganathan, Suresh Krishnaraj, Jayaprakash Muthumanickam and Ravichandran K

Abstract: In order to bring out the nature of the factors influencing lake water composition, multivariate statistical analysis and trend analysis were performed based on the hydrochemical data of the study area, namely, South Chennai. Change in land use pattern and settlements along the banks of the lakes alters the quality and quantity of the surface water. In the present study, the R-mode factor analysis and cluster analysis were applied to the geochemical parameters of the water to identify the factors affecting the chemical composition of the lake water. Dendograms of both the seasons give three major clusters, reflecting the groups of unpolluted to moderately polluted, polluted, and heavily polluted stations. The movement of stations from one cluster to another clearly brings out the seasonal variation in the chemical composition of the lake water. The complex hydrochemical data of the surface water were interpreted by condensing them into three major factors. Factor score analysis was used successfully to delineate the stations under study and the role of the contributing factors, and the nature of factors responsible for the variation in chemical composition of the water has been clearly brought out. Results of trend analysis using ArcGIS clearly indicate that the trend in water quality is deteriorating at a faster rate in the eastern part of the study area. It is understood that although natural shifts probably can account for some of the variation, it is most likely that human activities play a major role in affecting the water quality on a regional scale.

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