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Combined analyses of chemometrics and kriging for identifying groundwater contamination sources and origins at the Masan coastal area in Korea

机译:化学计量学和克里金法的组合分析,用于识别韩国马山沿海地区的地下水污染源和来源

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摘要

Hydrogeochemical analyses including the basic statistics of chemical components, Piper's bilinear diagram, and Mazor's compositional bivariate diagram revealed that the main source and origin of groundwater contamination was seawater intrusion in the study area. However, the other sources and origins of groundwater contamination could be found by the combined analyses of chemometrics and kriging. Cluster analysis was helpful for the classification on the basis of the contamination characteristics of groundwater quality; however, it was not sufficient for the apportionment of groundwater contamination sources. Factor analysis (FA) determined three factors with 81.07% in total variance: Factor 1 for seawater contamination, Factor 2 for nitrate contamination, and Factor 3 for iron contamination. Factor analysis determined the sources of groundwater contamination; however, it could not discover the origins of contaminants except Factor 1. In backward stepwise mode, discriminant analysis decreased the number of parameters from 18 to 6 in discriminating the contaminant type with 96.2% correctness. TDS, Ca, NO_3, Mn, Fe, and Br were the most significant parameters for the discrimination of contaminants. Kriging analysis was very useful for the understanding of correlation and similarity between contaminants and factors of FA, and for the investigation of contaminant origins. It also showed that the similarity between factor scores and contaminant concentrations was proportional to the magnitudes of factor loadings for contaminants. This study represented that the combined analyses of chemometrics and kriging were very indispensable to the identification of groundwater contamination sources and origins, as well as for the spatial classification and assessment of groundwater quality.
机译:水文地球化学分析包括化学成分的基本统计数据,Piper双线性图和Mazor组成双变量图,这些结果表明,研究区域的地下水入侵是地下水污染的主要来源。但是,通过化学计量学和克里金法的组合分析可以找到其他的地下水污染源和起源。聚类分析有助于根据地下水水质的污染特征进行分类。但是,这不足以分配地下水污染源。因子分析(FA)确定了三个因子,总方差为81.07%:海水污染的因子1,硝酸盐污染的因子2和铁污染的因子3。因子分析确定了地下水污染的来源;但是,除了因子1以外,它无法发现污染物的来源。在后向逐步模式下,判别分析以96.2%的正确率将参数类型从18个减少到6个。 TDS,Ca,NO_3,Mn,Fe和Br是区分污染物的最重要参数。克里格分析对于理解污染物和FA因子之间的相关性和相似性以及调查污染物来源非常有用。它还表明,因子得分与污染物浓度之间的相似性与污染物的因子负载量成正比。这项研究表明,化学计量学和克里金法的综合分析对于确定地下水污染源和来源以及对地下水质量进行空间分类和评估是必不可少的。

著录项

  • 来源
    《Environmental earth sciences》 |2012年第5期|p.1373-1388|共16页
  • 作者单位

    Department of Earth Environmental Sciences,Pukyong National University, 599-1 Daeyeon-dong Nam-gu,Busan 608-737, Korea;

    Department of Earth Environmental Sciences,Pukyong National University, 599-1 Daeyeon-dong Nam-gu,Busan 608-737, Korea;

    School of Civil Engineering, Dong-A University, 840 Hadan-dong Saha-gu, Busan 604-717, Korea;

    Department of Geological Sciences, Pusan National University, 63 Jangjeon-dong Geumjeong-gu, Busan 609-735, Korea;

    HLW Disposal Research Center, Korea Atomic Energy Research Institute, 989-111 Daedeok-daero Yuseong-gu,Daejeon 305-353, Korea;

    Radioactive Waste Technology Development Division, Korea Atomic Energy Research Institute, 989-111 Daedeok-daero Yuseong-gu, Daejeon 305-353, Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    groundwater contamination; chemometrics; cluster analysis; factor analysis; discriminant analysis; kriging analysis;

    机译:地下水污染;化学计量学聚类分析;因子分析;判别分析;克里格分析;
  • 入库时间 2022-08-18 03:31:21

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