Investigation of Water Quality of Dansuie River Basin in Taiwan Using Multivariate Analysis

• Main Authors: Jen-Po Cheng, 鄭任伯
• Other Authors: Shu-Kai S. Fan
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/30287230720530454004

碩士 === 元智大學 === 工業工程與管理學系 === 96 === This thesis presented a water quality analysis of Dansuie River Basin in Taiwan (Keelung River, Shindian River, Jingmei River, Dahan River, and its main tributary) using a sequence of multivariate methods. In this research, water quality and fish species were studied to characterize the water pollution with multivariate analysis, and the relationship between water quality and fish species were investigated. First, factor analysis was adopted to extract several comprehensive water quality indices from general water quality indices, and further, the water quality samples were classified to 2-4 clusters using cluster analysis to represent different severity of water pollution. Each water quality monitoring station was categorized according to the extracted water pollutants. Discriminant analysis was used to verify the outcome of cluster analysis. Furthermore, DO water quality model was established with path analysis to examine the relationship between DO and the other water quality indices in different clusters. In water pollution remediation, the key water quality index for improvement was represented by path analysis. Finally, the interval estimation of DO of each fish species was calculated, and according to this result, the distribution and the water environment of each fish species were discussed.