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Watershed Classification Using Statistical Analysis of water Quality Data from Muju area  

한원식 (연세대학교 지구시스템과학과)
우남칠 (연세대학교 지구시스템과학과)
이기철 (농업기반공사 농어촌연구원)
이광식 (한국기초과학지원연구원)
Publication Information
Journal of Soil and Groundwater Environment / v.7, no.3, 2002 , pp. 19-32 More about this Journal
Abstract
This study is objected to identify the relations between surface- and shallow ground-water and the seasonal variation of their qualities in watersheds near Muju area. The water type shows mainly Ca-$HCO_3$type. Heavy-metal contamination of surface water is locally detected, due to the mixing with mine drainage. In October nitrate concentration is especially high in densely populated area. Cluster Analysis and Principal Component Analysis are implemented to interpret the complexity of the chemical variation of surface- and ground-water with large amount of chemical data. Based on the cluster analysis, surface-water was divided into five groups and ground-water into three groups. Principal Component Analysis efficiently supports the result of cluster analysis, allowing the identification of three main factors controlling the water quality. There are (1) hydrogeochemical factor, (2) anthropogenic factor and (3) heavy metal contaminated by mine drainage.
Keywords
Cluster Analysis; Principal Component Analysis; Water quality data; Nitrate; Muju;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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