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DOI: 10.1371/journal.pone.0133920
论文题名:
Predicting Soluble Nickel in Soils Using Soil Properties and Total Nickel
作者: Xiaoqing Zhang; Jumei Li; Dongpu Wei; Bo Li; Yibing Ma
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-7-28
卷: 10, 期:7
语种: 英语
英文关键词: Iron oxides ; Agricultural soil science ; Soil chemistry ; Cations ; Adsorption ; Clay mineralogy ; Sorption ; Nickel
英文摘要: Soil soluble nickel (Ni) concentration is very important for determining soil Ni toxicity. In the present study, the relationships between soil properties, total and soluble Ni concentrations in soils were developed in a wide range of soils with different properties and climate characteristics. The multiple regressions showed that soil pH and total soil Ni concentrations were the most significant parameters in predicting soluble Ni concentrations with the adjusted determination coefficients (Radj2) values of 0.75 and 0.68 for soils spiked with soluble Ni salt and the spiked soils leached with artificial rainwater to mimic field conditions, respectively. However, when the soils were divided into three categories (pH < 7, 7–8 and > 8), they obtained better predictions with Radj2 values of 0.78–0.90 and 0.79–0.94 for leached and unleached soils, respectively. Meanwhile, the other soil properties, such as amorphous Fe and Al oxides and clay, were also found to be important for determining soluble Ni concentrations, indicating that they were also presented as active adsorbent surfaces. Additionally, the whole soil speciation including bulk soil properties and total soils Ni concentrations were analyzed by mechanistic speciation models WHAM VI and Visual MINTEQ3.0. It was found that WHAM VI provided the best predictions for the soils with pH < 7, was relatively reasonable for pH 7 to 8, and gave an overestimation for pH > 8. The Visual MINTEQ3.0 could provide better estimation for pH < 8 and meanwhile quite reasonable results for pH > 8. These results indicated the possibility and applicability of these models to predict soil soluble Ni concentration by soil properties.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0133920&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/21124
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: School of Forestry and Horticulture, Hubei University for Nationalities, 39 Xueyuan Road, Enshi, Hubei Province, 445000, China;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Southern Street of Zhongguancun, Beijing, 100081, China;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Southern Street of Zhongguancun, Beijing, 100081, China;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Southern Street of Zhongguancun, Beijing, 100081, China;School of Resources and Environment, University of Jinan, Jinan, 250022, Shandong Province, China

Recommended Citation:
Xiaoqing Zhang,Jumei Li,Dongpu Wei,et al. Predicting Soluble Nickel in Soils Using Soil Properties and Total Nickel[J]. PLOS ONE,2015-01-01,10(7)
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