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Using multivariate statistical methods to assess the groundwater quality in an arsenic-contaminated area of Southwestern Taiwan

机译:使用多元统计方法评估台湾西南部砷污染地区的地下水水质

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摘要

Groundwater is a major water resource in Southwestern Taiwan; hence, long-term monitoring of water quality is essential. The study aims to assess the hydrochemical characteristics of water in the arsenic-contaminated aquifers of Choushui River alluvial fan and Chianan Plain, Taiwan using multivariate statistical methods, namely, factor analysis (FA), cluster analysis (CA), and discriminant analysis (DA). Factor analysis is applied to reveal the processes controlling the hydrochemistry of groundwater. Cluster analysis is applied to spatially categorize the collected water samples based on the water quality. Discriminant analysis is then applied to elucidate key parameters associated with the occurrence of elevated As concentration (>10 μg L~(-1)) in groundwater. Major water types are characterized as Na-Ca-Cl and Na-Mg-CI in the Choushui River alluvial fan and Chianan Plain, respectively. Inorganic species of arsenic (As), particularly As(III), prevail in these two groundwater catchments, and their levels are higher in the Chianan Plain than in the Choushui River alluvial fan. Through FA, three factors, namely, the degree of salination, As reduction, and iron (Fe) reduction, are determined and denoted irrespective of some differences between the factorial compositions. Spatial distribution patterns of factors As reduction and Fe reduction imply that the redox zonation is delineated by As- and Fe-dominance zones separately. The results of CA demonstrate that three main groups can be properly explained by the factors extracted via FA. Three- (Fe~(2+), Fe~(3+), and NH_4~+) and four-parameters (Fe~(2+), Fe~(3+), NH_4~+, and Ca~(2+)) derived from discriminant analysis for Choushui River alluvial fan and Chianan Plain are elucidated as key parameters affecting the distribution of As-contained groundwater. The analytical results indicate that the reductive dissolution of Fe minerals is prerequisite for the mobilization of As, whereas the shift of redox condition from Fe- to As-reducing leads to the accumulation of dissolved As in this area.
机译:地下水是台湾西南部的主要水资源;因此,长期监测水质至关重要。这项研究旨在使用多元统计方法,即因子分析(FA),聚类分析(CA)和判别分析(DA)来评估台湾潮水河冲积扇和建安平原的砷污染含水层中水的水化学特征。 )。应用因子分析来揭示控制地下水水化学的过程。应用聚类分析根据水质对收集的水样本进行空间分类。然后采用判别分析来阐明与地下水中砷浓度升高(> 10μgL〜(-1))有关的关键参数。潮水河冲积扇和胶南平原的主要水类型分别为Na-Ca-Cl和Na-Mg-Cl。这两个地下水流域中普遍存在无机砷(As),特别是As(III),其在建安平原中的含量高于在朝水河冲积扇中的含量。通过FA,确定和表示了盐化程度,As还原度和铁(Fe)还原度这三个因素,而与因子组成之间的某些差异无关。元素As还原和Fe还原的空间分布模式意味着氧化还原带由As和Fe优势区分别划定。 CA的结果表明,通过FA提取的因素可以正确地解释三个主要类别。三参数(Fe〜(2 +),Fe〜(3+)和NH_4〜+)和四参数(Fe〜(2 +),Fe〜(3 +),NH_4〜+和Ca〜(2 +))判别了潮水河冲积扇和胶南平原的判别分析,将其作为影响含砷地下水分布的关键参数。分析结果表明,Fe矿物质的还原溶解是动员As的先决条件,而氧化还原条件从Fe-还原为As还原则导致该地区As的积累。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2012年第10期|p.6071-6085|共15页
  • 作者

    K.-L. Lu; C.-W. Liu; C.-S. Jang;

  • 作者单位

    Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 106, Taiwan;

    Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 106, Taiwan;

    Department of Leisure and Recreation Management, Kainan University, Taoyuan, Taiwan 338, Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    groundwater; multivariate statistical methods; arsenic; salination; taiwan;

    机译:地下水;多元统计方法;砷;盐碱化台湾;

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