The seasonal variations of the chemical budget of ions were determined from the hydrochemical investigation of the groundwater. Though the effect of monsoon does not change the order of abundance of cations, but it does change the concentration of various ions and it is found that there was a considerable change in the case of all major ions. The unique characteristic of the ground water is the linear relationship among the principal ions. Hydrochemical characteristics of ions in the groundwater were studied using 1:1 equiline diagrams. The nature of the water samples were determined using the piper diagram. The correlation studies and R-mode factor analysis were carried out on the various groundwater parameters. The study of factor scores reveals the extent of influence of each factors on the overall water chemistry at each sampling stations. The trace metal concentration in the water was determined. The quality of the groundwater in the study area has been assessed using Percent sodium, SAR and Wilcox diagrams. The groundwater results of the premonsoon shows the dominance of excessive evaporation, silicate weathering and anthropogenic activities whereas in postmonsoon, dilution predominates over that of other factors.
Multivariate statistical techniques were applied to identify and assess the quality of river water. Thirty samples were collected from the River Cooum, and basic chemical parameters--such as pH, effect concentration, total dissolved solids, major cations, anions, nutrients, and trace metals--were evaluated. To evaluate chemical variation and seasonal effect on the variables, analysis of variance and box-and-whisker plots were performed. Cluster analysis was applied, and pre-monsoon and post-monsoon major and minor clusters were classified. The relations among the stations were highlighted by cluster analysis, which were represented by dendograms to categorize different levels of contamination. Cluster analysis clearly grouped stations into polluted and unpolluted regions. The analysis classified the upper part of the river course into one unpolluted cluster; the middle and lower parts of the river clustered together, reflecting the presence of pollution. Factor analysis revealed that water quality is strongly affected by anthropogenic activities, rock-water interaction, and saline water intrusion. Seasonal variations in water chemistry were clearly highlighted by both cluster and factor analysis. Factor-score diagrams were used successfully to delineate the stations under study by the contributing factors, and seasonal effects on the sample stations were identified and evaluated. These statistical approaches and results yielded useful information about water quality and can lead to better water resource management.
The River Adyar flows through the fault of south Chennai for about 50 Km and enters into the Bay of Bengal. This river is almost stagnant and do not carry enough water except during rainy season. Rapid industrialization and urbanization along the river course during 80s and 90s of last century has increased the pollution of the river water. The main objective of this study is to identify and assess the nature of pollution. In order to achieve this objective, necessary geochemical parameters were determined and the quality of water is evaluated using various tools, such as Wilcox diagram, USIS, Piper, sodium absorption ratio (SAR), 3D scattered diagrams, and seasonal variation diagrams. The monsoonal variations in the data matrix of the river water (River Adyar) was monitored at 33 stations for the premonsoon and postmonsoon periods during September 2005 and February 2006.
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