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Composition and source apportionment of dust fall around a natural lake

机译:尘埃的成分和来源分配落在天然湖泊附近

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摘要

The aim of this study was to determine the source apportionment of dust fall around Lake Chini, Malaysia. Samples were collected monthly between December 2012 and March 2013 at seven sampling stations located around Lake Chini. The samples were filtered to separate the dissolved and undissolved solids. The ionic compositions (NO3-, SO42-, Cl- and NH4+) were determined using ion chromatography (IC) while major elements (K, Na, Ca and Mg) and trace metals (Zn, Fe, Al, Ni, Mn, Cr, Pb and Cd) were determined using inductively coupled plasma mass spectrometry (ICP-MS). The results showed that the average concentration of total solids around Lake Chini was 93.49 +/- 16.16 mg/(m(2).day). SO42-, Na and Zn dominated the dissolved portion of the dust fall. The enrichment factors (EF) revealed that the source of the trace metals and major elements in the rain water was anthropogenic, except for Fe. Hierarchical agglomerative cluster analysis (HACA) classified the seven monitoring stations and 16 variables into five groups and three groups respectively. A coupled receptor model, principal component analysis multiple linear regression (PCA-MLR), revealed that the sources of dust fall in Lake Chini were dominated by agricultural and biomass burning (42%), followed by the earth's crust (28%), sea spray (16%) and a mixture of soil dust and vehicle emissions (14%). (C) 2015 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
机译:这项研究的目的是确定马来西亚Chini湖周围的降尘来源。从2012年12月至2013年3月,每月在Chini湖周围的七个采样站采集样品。过滤样品以分离溶解的和不溶解的固体。使用离子色谱法(IC)测定离子组成(NO3-,SO42-,Cl-和NH4 +),同时测定主要元素(K,Na,Ca和Mg)和微量金属(Zn,Fe,Al,Ni,Mn,Cr (Pb和Cd)的测定使用电感耦合等离子体质谱(ICP-MS)。结果表明,奇尼湖周围​​的总固体平均浓度为93.49 +/- 16.16 mg /(m(2).day)。 SO42-,Na和Zn占粉尘降落的溶解部分。富集因子(EF)表明,雨水中的微量金属和主要元素的来源是人为的,除了铁。层次聚集聚类分析(HACA)将七个监测站和16个变量分别分为五个组和三个组。主成分分析多元线性回归(PCA-MLR)耦合受体模型表明,奇尼湖的降尘来源主要是农业和生物质燃烧(42%),其次是地壳(28%),海洋喷雾(16%)以及土壤粉尘和车辆排放物的混合物(14%)。 (C)2015年中国科学院生态环境研究中心。由Elsevier B.V.发布

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