Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/49193
Título: Assessment of iron-rich tailings via portable X-ray fluorescence spectrometry: the Mariana dam disaster, southeast Brazil
Palavras-chave: Proximal sensors
Portable X-ray fluorescence (pXRF)
Mining activities
Samarco dam collapse
Random forest
Environmental monitoring
Sensores proximais
Fluorescência de Raios X Portátil
Atividades de mineração
Rompimento de barragem
Floresta Aleatória
Data do documento: Mar-2021
Editor: Springer Nature
Citação: FERREIRA, G. W. D. et al. Assessment of iron-rich tailings via portable X-ray fluorescence spectrometry: the Mariana dam disaster, southeast Brazil. Environmental Monitoring and Assessment, [S.I.], v. 193, 2021. DOI: https://doi.org/10.1007/s10661-021-08982-7.
Resumo: On November 5, 2015, the Fundão dam collapsed and released > 60 million m3 of iron-rich mining sediments into the Doce river basin, covering >1000 ha of floodplain soils across ~80 km from the rupture. The characterization of alluvial mud covering and/or mixed with native soil is a priority for successful environmental rehabilitation. Portable X-ray fluorescence (pXRF) spectrometry was used to (1) assess the elemental composition of native soils and alluvial mud across impacted riparian areas; and 2) predict fertility properties of the mud and soils that are crucial for environmental rehabilitation and vegetation establishment (e.g., pH, available macro and micronutrients, cation exchange capacity, organic matter). Native soils and alluvial mud were sampled across impacted areas and analyzed via pXRF and conventional laboratory methods. Random forest (RF) regression was used to predict fertility properties using pXRF data for pooled soil and alluvial mud samples. Mud and native surrounding soils were clearly differentiated based on chemical properties determined via pXRF (mainly SiO2, Al2O3, Fe2O3, TiO2, and MnO). The pXRF data and RF models successfully predicted pH for pooled samples (R2 = 0.80). Moderate predictions were obtained for soil organic matter (R2 = 0.53) and cation exchange capacity (R2 = 0.54). Considering the extent of impacted area and efforts required for successful environmental rehabilitation, the pXRF spectrometer showed great potential for screening impacted areas. It can assess total elemental composition, differentiate alluvial mud from native soils, and reasonably predict related fertility properties in pooled heterogeneous substrates (native soil + mud + river sediments).
URI: https://doi.org/10.1007/s10661-021-08982-7
http://repositorio.ufla.br/jspui/handle/1/49193
Aparece nas coleções:DCS - Artigos publicados em periódicos

Arquivos associados a este item:
Não existem arquivos associados a este item.


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.