Multivariate Water Quality Assessment of Renowned Pilgrim Spot, Gujarat, India: A Statistical Approach
Author(s) -
Sheju Thomas,
Hiren B Soni,
Ashok K. Saxena
Publication year - 2017
Publication title -
current world environment
Language(s) - English
Resource type - Journals
eISSN - 2320-8031
pISSN - 0973-4929
DOI - 10.12944/cwe.12.3.10
Subject(s) - water quality , hydrology (agriculture) , sodium adsorption ratio , environmental science , salinity , leaching (pedology) , wetland , surface water , sampling (signal processing) , irrigation , environmental chemistry , chemistry , soil science , soil water , environmental engineering , geology , agronomy , ecology , oceanography , geotechnical engineering , filter (signal processing) , drip irrigation , computer science , computer vision , biology
Gomti Palustrine Habitat is one of the renowned pilgrimage ponds of Central Gujarat, India. In the present research, different statistical tests were applied to 21 water quality parameters to trace and delineate the status of water quality. The present study was undertaken for one year (December, 2012 to November, 2013) with monthly sampling covering three successive seasons (winter, summer, monsoon). Three permanent sampling stations (V1, V2, V3) were selected to cover the cross-sectional and diagonal regime of wetland. Ionic Signatures (IS) confirmed the wetland to be dominated with Ca and HCO3-, indicating leaching of minerals from drainage basins. Index of Base Exchange (IBE) supported the enrichment of Na+ ions in the water regime owing to clay horizons. Exchangeable Sodium Ratio (ESR) (1.416 meq/l) and Sodium Absorption Ratio (SAR) (1.367 meq/l) found to be minimal referring to leaching and dissolution of salts during precipitation. Surface water quality is exhibited by low Salinity and low Sodicity zone, can be used for irrigation purpose. Principal Component Analysis (PCA) identified a reduced number of mean of 3 varifactors indicating that 93.35% of temporal and spatial changes affect the water quality drastically. First factor from the factor analysis explained a total of 74.44% among TH, HCO3-, Mg, Cl, salinity and K+. One way ANOVA revealed that Sampling Site 2 is maximally loaded with aquatic pollutants, followed by Sampling Site 3 and Sampling Site 1 (Site description is given in the later section of the paper). These outcomes manifested prime necessity to restore the physical, chemical and biological integrity of water quality to revert the ecological balance of an aquatic ecosystem.
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