Application of Multivariate Statistical Method on Characteristic Analysis of Groundwater Quality in the Kaohsiung County Area

• Main Authors: Po-Jen Cheng, 鄭博仁
• Other Authors: Yi-Chu Huang
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/46598462312638658237

碩士 === 國立屏東科技大學 === 環境工程與科學系 === 91 === The monitoring wells on shallow layer in the area of Kaohsiung County were established by EPA (Environmental Protection Administration) under the project of “The integrated programming on groundwater quality of the monitoring network in Taiwan area” to periodically execute the sampling and monitoring of groundwater quality. The sampling of water quality data provided through the years can be utilized to judge the information of groundwater pollution at that time. In order to simplify the numerous monitoring items of groundwater quality and to search for the factors representing the pollution types as well as sources of groundwater quality in the Kaohsiung County, this study utilizes the multivariate statistical method to analyze the characteristics of the groundwater quality. Four principal factors were summarized as: (1) salted factor including electrical conductivity (EC), hardness, chloride (Cl-), sulfate (SO4=), sodium (Na), potassium (K), magnesium (Mg); (2) mineral factor including iron (Fe), manganese (Mn); (3) zinc environmental factor including Zinc (Zn); and (4) organic pollutant factor including total organic carbon (TOC). The four major principal factors on the groundwater quality in the area of Kaohsiung County can interpret the 79.5% variances of the integrated groundwater characteristics. Four groups were classified according to the similar characteristics and the variety of water quality among groups using the cluster analysis method. The results showed that the groundwater quality of hinterland was better than that of coastal area. Some coastal areas have already been affected by the seawater intrusion results in salting situation. The regional groundwater quality was classified from the hardness water to very hardness water. The general index of groundwater pollution determined by multivariate statistical method was compared their similarities with those determined by the method of Stiff shape diagram and the method of Piper diagram. The statistical method provided by this research can reduce the harassment of the missing items of monitoring water quality. The results of this research may provide the authority about the strategy preparation and execution suggestion for the groundwater monitoring and pollution prevention.