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DOI | 10.1080/15287394.2018.1423798 |
Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling | |
Nelson, Clay M.1; Li, Kevin2; Obenour, Daniel R.2; Miller, Jonathan2; Misenheimer, John C.3; Scheckel, Kirk4; Betts, Aaron5; Juhasz, Albert6; Thomas, David J.7; Bradham, Karen D.1 | |
发表日期 | 2018 |
ISSN | 1528-7394 |
卷号 | 81期号:6页码:160-172 |
英文摘要 | Interest in improved understanding of relationships among soil properties and arsenic (As) bioaccessibility has motivated the use of regression models for As bioaccessibility prediction. However, limits in the numbers and types of soils included in previous studies restrict the usefulness of these models beyond the range of soil conditions evaluated, as evidenced by reduced predictive performance when applied to new data. In response, hierarchical models that consider variability in relationships among soil properties and As bioaccessibility across geographic locations and contaminant sources were developed to predict As bioaccessibility in 139 soils on both a mass fraction (mg/kg) and % basis. The hierarchical approach improved the estimation of As bioaccessibility in studied soils. In addition, the number of soil elements identified as statistically significant explanatory variables increased when compared to previous investigations. Specifically, total soil Fe, P, Ca, Co, and V were significant explanatory variables in both models, while total As, Cd, Cu, Ni, and Zn were also significant in the mass fraction model and Mg was significant in the % model. This developed hierarchical approach provides a novel tool to (1) explore relationships between soil properties and As bioaccessibility across a broad range of soil types and As contaminant sources encountered in the environment and (2) identify areas of future mechanistic research to better understand the complexity of interactions between soil properties and As bioaccessibility. |
英文关键词 | soil;arsenic;bioaccessibility;hierarchical modeling;properties |
语种 | 英语 |
WOS记录号 | WOS:000424098000004 |
来源期刊 | JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/61231 |
作者单位 | 1.US EPA, Natl Exposure Res Lab, Off Res & Dev, Res Triangle Pk, NC 27711 USA; 2.North Carolina State Univ, Dept Civil Construct & Environm Engn, Raleigh, NC USA; 3.Oak Ridge Inst Sci & Educ Res Participant, Res Triangle Pk, NC USA; 4.US EPA, Off Res & Dev, Cincinnati, OH 45268 USA; 5.Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19717 USA; 6.Univ South Australia, Ctr Environm Risk Assessment & Remediat, Mawson Lakes, SA, Australia; 7.US EPA, Natl Hlth & Environm Effects Res Lab, Off Res & Dev, Res Triangle Pk, NC 27711 USA |
推荐引用方式 GB/T 7714 | Nelson, Clay M.,Li, Kevin,Obenour, Daniel R.,et al. Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling[J]. 美国环保署,2018,81(6):160-172. |
APA | Nelson, Clay M..,Li, Kevin.,Obenour, Daniel R..,Miller, Jonathan.,Misenheimer, John C..,...&Bradham, Karen D..(2018).Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling.JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES,81(6),160-172. |
MLA | Nelson, Clay M.,et al."Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling".JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES 81.6(2018):160-172. |
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