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Assessment of Hydrochemical Characteristics of a Tropical Wetland System Using Principal Component Analysis
註釋This study aims to elucidate the useful role of Principal Component Analysis (PCA) in investigating seasonal variations in hydrochemical data sets. The samples of surface water were collected from Khodiyar wetland, located in central Gujarat (India) during 2009-10, in pre-monsoon, monsoon and post-monsoon seasons for analyzing 17 parameters. PCA identified four factors which are responsible for the data structure, explaining 96.08%, 91.32% and 91.16% of the total variance of the data set in each season, respectively. It allowed to group the selected parameters according to common features as well as to evaluate the incidence of each group on the overall seasonal deviation in hydrochemical characteristics of the wetland.