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地表水和地下水中砷的形态分析与评价:多变量案例研究。

Speciation and evaluation of Arsenic in surface water and groundwater samples: a multivariate case study.

机构信息

Centre of Excellence in Analytical Chemistry University of Sindh, Jamshoro 76080, Pakistan.

出版信息

Ecotoxicol Environ Saf. 2010 Jul;73(5):914-23. doi: 10.1016/j.ecoenv.2010.01.002. Epub 2010 Apr 3.

Abstract

The principal object of the current study was to estimate total arsenic and its inorganic speciation in different origins of surface water (n=480) and groundwater (n=240) of Sindh, Pakistan. This study provided a description based on the evaluation of physico-chemical parameters of collected water samples and possible distribution of As with respect to its speciation. The concentration of total inorganic As (iAs) and its species (As(3+) and As(5+)) for the surface and underground water was reported in terms of basic statistical parameters, principal component analysis, cluster analysis, metal-to-metal correlations and linear regression analyses. The chemical correlations were observed by PCA, which were used to classify the samples by CA, based on the PCA scores. Standard addition method confirmed the accuracy; the recoveries of As(3+) and iAs were found to be >98%. The concentration of As(5+) in the water samples was calculated by the difference of the total inorganic arsenic and As(3+). The results revealed that the groundwater of the understudied area was more contaminated as compared to the surface water samples. The mean concentration of As(3+) and As(5+) in the surface water and groundwater samples were in the range 3.0 to 18.3 and 8.74-352 microg/L, respectively.

摘要

本研究的主要目的是评估巴基斯坦信德省不同地表水(n=480)和地下水(n=240)中总砷及其无机形态的含量。本研究基于采集水样的理化参数评估和可能的砷形态分布,提供了描述。报告了地表水和地下水中总无机砷(iAs)及其形态(As(3+)和 As(5+))的浓度,采用基本统计参数、主成分分析、聚类分析、金属间相关性和线性回归分析进行了分析。通过 PCA 观察到化学相关性,根据 PCA 得分,CA 用于对样品进行分类。标准加入法证实了准确性;发现 As(3+)和 iAs 的回收率均大于 98%。水样中 As(5+)的浓度通过总无机砷与 As(3+)的差值计算得出。结果表明,与地表水样品相比,研究区域的地下水受到的污染更为严重。地表水和地下水中 As(3+)和 As(5+)的平均浓度范围分别为 3.0 至 18.3 和 8.74-352μg/L。

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