Groundwater Quality Management by Statistical Multivariate Analysis : A Case Study of Choshui River Alluvium Groundwater Subregion

• Main Authors: Ming-Hsiang Shen, 沈銘祥
• Other Authors: Ting-Nien Wu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/33602788718952567588

碩士 === 崑山科技大學 === 環境工程研究所 === 101 === This study selected Choshui River Alluvium groundwater subregion as study area, and groundwater monitoring data were extracted from Taiwan EPA Water Quality Monitoring Database. Lab data of groundwater quality including pH, EC, hardness, chloride, sulfate, ammonia, nitrate, TOC, As, Zn, Fe, Mn, Na, K, Ca and Mg were subjected to factor and cluster analysis. By utilizing principal component analysis (PCA), the identified four major principal components (PCs) representing 80% of cumulative variance are salinization, mineralization, organic pollution, and zinc dissolution. Cluster analysis results illustrated that coastal area was partially salinized as a result of seawater intrusion, and most crowded towns faced with the threat of organic pollution. Part of study area was subjected to the impact of mineralization, and zinc dissolution also influenced groundwater quality in most regions of agricultural activities and feedlots. The possible release of zinc in groundwater was pointed to the dissolution of zinc from the fertilizers and feedstuff.