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Distribution of rare earth elements in soils of contrasting geological and pedological settings to support human health assessment and environmental policies.

Jacqueline Sousa Paes LandimYuri Jacques Agra Bezerra da SilvaClístenes Williams Araújo do NascimentoYgor Jacques Agra Bezerra da SilvaRennan Cabral NascimentoCácio Luiz BoechatCinthia Maria Cordeiro Atanázio Cruz SilvaRicardo Alves de OlindaRonny Sobreira BarbosaTatiana Dos Santos SilvaCaroline Miranda BiondiAdrian L Collins
Published in: Environmental geochemistry and health (2021)
Establishing quality reference values (QRVs) for rare earth elements (REEs) in soils is essential for the screening of these emergent contaminants. Currently, Brazil has the second-largest reserve of REEs, but data regarding background concentrations and distributions in soils remain scarce. The aim of this study was to establish the QRVs and assess the spatial distribution of REEs in soils, including REE fractionations and anomalies in (Piauí) state (251,529.186 km2), northeastern Brazil. This study reports the most detailed data on REE geochemistry in Brazilian soils. A total of 243 composite soil samples was collected at 0-20 cm depth. The mean background concentrations in soils followed the abundance of the earth's upper crust: Ce > La > Nd > Pr > Sm > Dy > Gd > Er > Yb > Eu > Tb > Lu. The ∑REEs (mg kg-1) showed the following order based on the individual mesoregions of Piauí state: Southeast (262.75) > North and Central-North (89.68) > Southwest (40.33). The highest QRVs were observed in the Southeast mesoregion. The establishment of QRVs based on the mesoregion scale improves data representativeness and the monitoring of natural REE values by identifying hot spots. Geostatistical modeling indicated significant local variability, especially in the Southeast mesoregion. The levels of these elements in this spatial zone are naturally higher than the other values across Piauí state and the mesoregion itself and indicate a high potential to exceed the QRVs. Our approach provides much needed data to help strengthen policies for both human health and environmental protection.
Keyphrases
  • human health
  • risk assessment
  • climate change
  • heavy metals
  • electronic health record
  • big data
  • emergency department
  • tertiary care
  • artificial intelligence
  • drinking water
  • breast cancer cells
  • endoplasmic reticulum