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

Autor: Yuri Jacques Agra Bezerra da Silva, Ygor Jacques Agra Bezerra da Silva, Tatiana dos Santos Silva, Clístenes Williams Araújo do Nascimento, Ricardo Alves de Olinda, Adrian L. Collins, Jacqueline Sousa Paes Landim, Ronny Sobreira Barbosa, Caroline Miranda Biondi, Cácio Luiz Boechat, Rennan Cabral Nascimento, Cinthia Maria Cordeiro Atanázio Cruz Silva
Rok vydání: 2021
Předmět:
Zdroj: Environmental geochemistry and health. 44(3)
ISSN: 1573-2983
Popis: 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.
Databáze: OpenAIRE