A Study on Measuring the Similarity Among Sampling Sites in Lake

저수지 수질조사 지점간 유사성 분석

  • 이요상 (한국수자원공사 K-water연구원 수자원연구소) ;
  • 고덕구 (한국수자원공사 K-water연구원 수자원연구소) ;
  • 이현석 (한국수자원공사 K-water연구원 수자원연구소)
  • Published : 2010.05.10

Abstract

Multivariate statistical approaches to classify sampling sites with measuring their similarity by water quality data. For empirical study, data of two years at the 9 sampling sites with the combination of 2 depth levels and 7 important variables related to water quality is collected in reservoir. The similarity among sampling sites is measured with Euclidean distances of water quality related variables and they are classified by hierarchical clustering method. The clustered sites are discussed with principal component variables in the view of the geographical characteristics of them and reducing the number of measuring sites. Nine sampling sites are clustered as follows; One cluster of 5, 6, and 7 sampling sites shows the characteristic of low water depth and main stream of water. The sites of 2 and 4 are clustered into the same group by characteristics of hydraulics which come from that of main stream. But their changing pattern of water quality looks like different since the site of 2 is near to dam. The sampling sites of 3, 8, and 9 are individually positioned due to the different tributary.

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