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Background Estimation and Distribution of Anthropogenic Input of Cadmium in Arable Land Soil

机译:耕地土壤中人为输入镉的背景估算和分布

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Obtaining accurate cadmium background concentrations in arable land soil is important because it can identify the anthropogenic Cd input distribution and realistically set the guiding level for remediation. In this study, four methods were applied, including the Iterative-2σ technique, 95 % upper confidence limit (UCL0.95), accumulative frequency plot and GM+2GSD (geometric mean + 2 x geometric standard) in order to estimate the Cd background concentrations in Hainan Island's arable land soil. In a comparative analysis, using the GM+2GSD method is ideal for estimating the background Cd concentrations since it does not consider the hypothetical distribution functions like UCL_(0.95). A concentration of 75 μg kg~(-1) was accepted as the Cd background concentration in arable land soils. The distribution of anthropogenic Cd inputs was obtained by subtracting the background concentrations from an existing spatial distribution of Cd. Rapid urbanization and excessive application of chemical fertilizers and pesticides have been attributed to the anthropogenic Cd input of Hainan's arable land soil.
机译:在耕地土壤中获得准确的镉背景浓度很重要,因为它可以识别人为的Cd输入分布,并切实地设定修复的指导水平。在这项研究中,应用了四种方法,包括迭代2σ技术,95%的置信度上限(UCL0.95),累积频率图和GM + 2GSD(几何平均值+ 2 x几何标准),以估算Cd背景在海南岛的耕地土壤中的浓度。在比较分析中,使用GM + 2GSD方法是估算背景Cd浓度的理想选择,因为它没有考虑UCL_(0.95)之类的假设分布函数。耕地土壤中镉的本底浓度为75μgkg〜(-1)。通过从现有的镉空间分布中减去背景浓度来获得人为镉输入的分布。快速的城市化进程以及化学肥料和农药的过量使用归因于海南耕地土壤中人为的镉输入。

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