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UPTAKE OF INORGANIC CHEMICALS FROM SOIL BY PLANT LEAVES: REGRESSIONS OF FIELD DATA

机译:植物叶对土壤中无机化学物质的吸收:田间数据的回归

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摘要

The estimation of chemical concentrations in wildlife foods, such as plant foliage, is often performed for risk assessments at contaminated sites. Regression models and uptake factors for use in estimating the uptake of inorganic elements from soil by above-ground plant tissues were derived in this study. These included models for arsenic, cadmium, copper, lead, mercury, nickel, selenium, and zinc. Models were developed using published data from soil contaminated in the field and were validated using measured concentrations from two contaminated sites. Single-variable regression models of log-transformed concentrations in plants versus log-transformed concentrations in soil are generally recommended over simple uptake factors for use in estimating plant uptake of inorganic contaminants in ecological risk assessments.
机译:通常对野生植物食物(例如植物叶子)中的化学浓度进行估算,以在受污染的地点进行风险评估。在这项研究中,推导了用于估计地上植物组织从土壤中吸收无机元素的回归模型和吸收因子。其中包括砷,镉,铜,铅,汞,镍,硒和锌的模型。使用来自现场污染土壤的公开数据开发了模型,并使用来自两个污染场地的测量浓度进行了验证。通常建议将植物的对数转化浓度与土壤中的对数转化浓度进行单变量回归模型,而不是简单的吸收因子,以便在生态风险评估中估算植物对无机污染物的吸收。

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