Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation.
Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation.
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DOI：
10.1016/j.envpol.2009.03.021
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发表时间：
2009-08
影响因子：
8.9
通讯作者：
Lawson, Andrew B.
中科院分区：
文献类型：
--
作者：
Davis, Harley T.;Aelion, C. Marjorie;McDermott, Suzanne;Lawson, Andrew B.
关键词：
确定农村和城市土壤中神经毒性金属的来源对于减少人类接触至关重要。从四个地区的表层土壤与显着集群的智力低下和发育迟缓（MR/DD）的儿童，和一个控制网站进行了分析，为9种金属和土壤类型，气候，生态区域，土地利用和工业设施，利用现成的GIS为基础的数据。克里格，主成分分析（PCA）和聚类分析（CA）被用来确定金属分布的共性。三个MR/DD地区（一个农村和两个城市）有类似的土壤类型和显着较高的土壤金属浓度。PCA和CA结果表明，Ba，Be和Mn一致来自自然来源; Pb和Hg来自人为来源; As，Cr，Cu和Ni来自两种来源。砷的普遍性估计值较低，与第三个五氯苯甲醚因子高度相关，分布复杂，使得尽量减少浓度和接触的缓解战略复杂化。
Determining sources of neurotoxic metals in rural and urban soils is important for mitigating human exposure. Surface soil from four areas with significant clusters of mental retardation and developmental delay (MR/DD) in children, and one control site were analyzed for nine metals and characterized by soil type, climate, ecological region, land use and industrial facilities using readily-available GIS-based data. Kriging, principal component analysis (PCA) and cluster analysis (CA) were used to identify commonalities of metal distribution. Three MR/DD areas (one rural and two urban) had similar soil types and significantly higher soil metal concentrations. PCA and CA results suggested that Ba, Be and Mn were consistently from natural sources; Pb and Hg from anthropogenic sources; and As, Cr, Cu, and Ni from both sources. Arsenic had low commonality estimates, was highly associated with a third PCA factor, and had a complex distribution, complicating mitigation strategies to minimize concentrations and exposures.
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影响因子：
9.8
作者：
Aelion, C. Marjorie;Davis, Harley T.;McDermott, Suzanne;Lawson, Andrew B.
通讯作者：
Lawson, Andrew B.
影响因子：
8.3
作者：
Calderón, J;Navarro, ME;Díaz-Barriga, F
通讯作者：
Díaz-Barriga, F
影响因子：
8.3
作者：
DIAZBARRIGA, F;SANTOS, MA;CEBRIAN, ME
通讯作者：
CEBRIAN, ME
影响因子：
8.8
作者：
Aelion, C. Marjorie;Davis, Harley T.
通讯作者：
Davis, Harley T.
影响因子：
11.4
作者：
Dijkstra, JJ;Meeussen, JCL;Comans, RNJ
通讯作者：
Comans, RNJ