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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/5807


    Title: Application of Principal Component Analysis on Source Identification and Tracking of Groundwater Contamination from Southern Taiwan Science Park
    Authors: Ting-Nien Wu (吳庭年)
    Chen-Hsiang Huang
    Keywords: principal component analysis
    data mining
    monitoring well
    water quality
    groundwater contamination
    Date: 2009
    Issue Date: 2009-11-18 10:02:52 (UTC+8)
    Abstract: This paper demonstrated a case study on how to
    utilize principal component analysis (PCA) as
    mining tool to extract the patterns of groundwater
    contamination. Southern Taiwan Science Park was
    selected as study area, and forty-five groundwater
    monitoring wells within the study area were used to
    build up groundwater quality database. Lab data of
    routine groundwater analysis including pH,
    electrical conductivity, temperature, total dissolved
    solid, total organic carbon, fluoride, ammonia,
    nitrite, nitrate, and phenols were subjected to
    principal component analysis. Based on the
    monitoring data between 2005 and 2007, the
    extracted information from the PCA mirrored the
    potential sources of groundwater contamination as
    salinization, arsenic dissolution, industrial leakage,
    mineralization, and agricultural activities. According
    to the depth of monitoring wells, the PCA results of
    two stratification groups were matched up to track
    the movement of groundwater contamination in the
    vertical profile. The vertical distribution of
    groundwater contamination revealed that fluoride
    and phenols was transported to the bottom of the
    unconfined aquifer. On the basis of yearly
    monitoring data, the PCA results of each year were
    matched up to track the shift of groundwater
    contamination with time. The possible sources of
    groundwater contamination resulted from
    agricultural activities and mineralization processes
    before 2005, and its significance is gradually fading
    out and turning to be the type of potential industrial
    leakage.
    Appears in Collections:[環境工程系所] 期刊論文

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