Concentrations of potentially toxic elements in soils and vegetables from the macroregion of São Paulo, Brazil: availability for plant uptake

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• 作者：Sabrina Novaes dos Santos-Araujo…
• 关键词：Soil contamination ; Metals ; Principal component analysis ; Prediction models ; Permitted limits
• 刊名：Environmental Monitoring and Assessment
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：188
• 期：2
• 全文大小：1,154 KB
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• 作者单位：Sabrina Novaes dos Santos-Araujo (1)
  Luís Reynaldo Ferracciú Alleoni (2)
  
  1. College of Agriculture Luiz de Queiroz (ESALQ/USP), University of São Paulo, Av. Pádua Dias, 11, C.P. 9, Piracicaba, SP, 13418-900, Brazil
  2. ESALQ/USP, Piracicaba, Brazil
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Monitoring, Environmental Analysis and Environmental Ecotoxicology
  Ecology
  Atmospheric Protection, Air Quality Control and Air Pollution
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-2959

文摘

The occurrence and accumulation of heavy metals or so-called potentially toxic elements (PTEs) in soils and plants have driven long-standing concerns about the adverse effects such metals have on the environment and human health. Furthermore, contaminated food products are known to be a leading source of exposure to heavy metals for the general population. It is crucial to accurately assess the concentrations of metals in crops and the bioavailable contents of these elements in the soil. The state of São Paulo is the largest consumer market of horticultural products in Brazil with production focused essentially on urban and industrial areas, which greatly increases the degree of exposure to contaminants. The objective of the authors in this study was to evaluate the soil-plant relationships between concentrations of Cd, Cu, Ni, Pb and Zn in vegetable and garden soils in the state of São Paulo, Brazil. To accomplish this, 200 soil (0–20 cm) and plant samples were collected from 25 species in the production areas. With the exception of Cd, there was positive correlation between pseudototals (USEPA 3051a) and bioavailable contents (extracted with DTPA) of heavy metals. However, the Cd and Pb contents in plants were not significantly correlated with any of the variables studied. All random forest and tree models proved to be good predictors of results generated from a regression model and provided useful information including covariates that were important for specifically forecasting Zn concentration in plants.