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首页> 外文期刊>Environments >Applicability of a Freundlich-Like Model for Plant Uptake at an Industrial Contaminated Site with a High Variable Arsenic Concentration
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Applicability of a Freundlich-Like Model for Plant Uptake at an Industrial Contaminated Site with a High Variable Arsenic Concentration

机译：Freundlich-Like模型在砷浓度高的工业污染场所对植物吸收的适用性

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Phytoextraction is a low-cost technology with negligible environmental impacts. A major issue at the field scale is the heterogeneity of contaminant concentration since the entire site needs to be treated evenly even though zones may need different incisiveness in the treatment. The concentration ratio (C shoot /C soil ) is generally used to evaluate plant species performance and it includes for simplicity an assumption of linearity in the uptake behavior, although deviation from linearity has been observed in several studies. This work describes a phytoextraction feasibility test, conducted at a greenhouse scale for the remediation of an arsenic-contaminated site. Since a feasibility test should also provide an uptake model that accounts for plant growth in heterogeneous areas, the investigation focused on defining the uptake behavior of the various selected species growing in a site with homogeneous soil properties, but with considerable differences in arsenic concentration. Among the many models selectable to describe the soil-to-plant transfer, the Freundlich-like approach was tested. While remaining easy to handle, the non-linear model selected proves to be adequate to predict the arsenic uptake despite the complex contamination considered, thus allowing a more realistic prediction of the potential of a field-scale phytoremediation procedure.
机译：植物提取是一种低成本的技术，对环境的影响可以忽略不计。现场规模上的一个主要问题是污染物浓度的异质性，因为即使处理区域可能需要不同的敏锐度，也需要均匀处理整个站点。浓度比（C梢/ C土）通常用于评估植物的生长性能，为简单起见，它包括吸收行为呈线性的假设，尽管在一些研究中已观察到线性的偏离。这项工作描述了一种植物提取可行性试验，该试验在温室规模下进行，以修复砷污染的场地。由于可行性测试还应该提供一个吸收模型来说明异质区域中的植物生长，因此研究的重点是定义生长在土壤性质均一但砷浓度差异很大的所选物种的吸收行为。在描述土壤到植物迁移的众多模型中，测试了类似Freundlich的方法。尽管考虑到了复杂的污染，但在保持易于处理的同时，选择的非线性模型被证明足以预测砷的吸收，因此可以更实际地预测田间规模的植物修复程序的潜力。

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