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Soil-plant transfer models for metals to improve soil screening value guidelines valid for São Paulo, Brazil

机译:金属的土壤-植物转移模型,以改善对巴西圣保罗有效的土壤筛选价值准则

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In Brazil, there is a lack of combined soil-plant data attempting to explain the influence of specific climate, soil conditions, and crop management on heavy metal uptake and accumulation by plants. As a consequence, soil-plant relationships to be used in risk assessments or for derivation of soil screening values are not available. Our objective in this study was to develop empirical soil-plant models for Cd, Cu, Pb, Ni, and Zn, in order to derive appropriate soil screening values representative of humid tropical regions such as the state of Sao Paulo (SP), Brazil. Soil and plant samples from 25 vegetable species in the production areas of SP were collected. The concentrations of metals found in these soil samples were relatively low. Therefore, data from temperate regions were included in our study. The soil-plant relations derived had a good performance for SP conditions for 8 out of 10 combinations of metal and vegetable species. The bioconcentration factor (BCF) values for Cd, Cu, Ni, Pb, and Zn in lettuce and for Cd, Cu, Pb, and Zn in carrotwere determined under three exposure scenarios at pH5 and 6. The application of soil-plant models and the BCFs proposed in this study can be an important tool to derive national soil quality criteria. However, this methodological approach includes data assessed under different climatic conditions and soil types and need to be carefully considered.
机译:在巴西,缺乏用于解释特定气候,土壤条件和作物管理对植物吸收和积累重金属的影响的土壤-植物数据的组合。结果,无法用于风险评估或推导土壤筛选值的土壤与植物的关系。我们在这项研究中的目的是建立Cd,Cu,Pb,Ni和Zn的经验性土壤植物模型,以便得出代表潮湿热带地区(如巴西圣保罗州)的适当土壤筛选值。收集了SP生产地区25种蔬菜的土壤和植物样品。这些土壤样品中发现的金属浓度相对较低。因此,来自温带地区的数据包括在我们的研究中。在金属和蔬菜的10种组合中,有8种在SP条件下获得的土壤-植物关系具有良好的性能。在pH5和6的三种暴露情景下,确定了莴苣中Cd,Cu,Ni,Pb和Zn以及胡萝卜中Cd,Cu,Pb和Zn的生物浓缩因子(BCF)值。本研究中提出的生物浓缩系数可以成为推导国家土壤质量标准的重要工具。但是,这种方法学方法包括在不同气候条件和土壤类型下评估的数据,需要仔细考虑。

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