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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
05/05/2022 |
Data da última atualização: |
05/05/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MAIA, A. J.; NASCIMENTO, R. C.; SILVA, Y. J. A. B. da; NASCIMENTO, C. W. A. do; MENDES, W. de S.; VERAS NETO, J. G.; ARAUJO FILHO, J. C. de; TIECHER, T.; SILVA, Y. J. A. B. da. |
Afiliação: |
ANGELO JAMIL MAIA, UFRPE; RENNAN CABRAL NASCIMENTO, UFRPE; YGOR JACQUES AGRA BEZERRA DA SILVA, UFRPE; CLÍSTENES WILLIAMS ARAÚJO DO NASCIMENTO, UFRPE; WANDERSON DE SOUSA MENDES, LEIBNIZ CENTRE FOR AGRICULTURAL LANDSCAPE RESEARCH (ZALF); JOSÉ GERMANO VERAS NETO, UFPB; JOSE COELHO DE ARAUJO FILHO, CNPS; TALES TIECHER, UFRGS; YURI JACQUES AGRA BEZERRA DA SILVA, UFPI. |
Título: |
Near-infrared spectroscopy for prediction of potentially toxic elements in soil and sediments from a semiarid and coastal humid tropical transitional river basin. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Microchemical Journal, v. 179, 107544, Aug. 2022. |
DOI: |
https://doi.org/10.1016/j.microc.2022.107544 |
Idioma: |
Inglês |
Conteúdo: |
The input of potentially toxic elements (PTE) in river basins is a major environmental problem. PTE concentrations are determined using traditional analytical methods, which are mostly time consuming, expensive, and reliant on hazardous reagents. An alternative method to traditional chemical analysis is near-infrared (NIR) spectroscopy, which allows for the quantification of several PTEs through chemometric models. The aim of this study is to apply NIR spectroscopy for the prediction of PTE concentrations in the Ipojuca river basin, an area exposed to potential pollutant activities. We collected 145 soil samples and 33 bed sediments samples. All samples were ground and sieved at <- 100-um, and then analyzed for Al, Ce, Co, Cr, Fe, La, Mn, Mo, Ni, Pr, Sc, Sm, Sn, Sr, Th, Ti, V, and Y concentrations by inductively coupled plasma optical emission spectroscopy. Spectral data were retrieved from all samples using an FT-IR/NIR spectrometer in the range of 1000 - 2500 nm. The samples were subdivided into two sets: (i) soil and (ii) soil and bed sediments. Prediction models were built using the random forest algorithm (RF) and partial least squares regression (PLS) combined with different spectral preprocessing methods. Satisfactory results were obtained for Al, Ti, Sc, and V, and reasonable results for Fe, La, Mn, Pr, Sm, Sr, and Th. Our findings indicate that RF models obtains generally better results than PLS, and also that NIR spectroscopy can be a viable alternative assessment tool even in large areas with geochemical and pedological heterogeneity. MenosThe input of potentially toxic elements (PTE) in river basins is a major environmental problem. PTE concentrations are determined using traditional analytical methods, which are mostly time consuming, expensive, and reliant on hazardous reagents. An alternative method to traditional chemical analysis is near-infrared (NIR) spectroscopy, which allows for the quantification of several PTEs through chemometric models. The aim of this study is to apply NIR spectroscopy for the prediction of PTE concentrations in the Ipojuca river basin, an area exposed to potential pollutant activities. We collected 145 soil samples and 33 bed sediments samples. All samples were ground and sieved at <- 100-um, and then analyzed for Al, Ce, Co, Cr, Fe, La, Mn, Mo, Ni, Pr, Sc, Sm, Sn, Sr, Th, Ti, V, and Y concentrations by inductively coupled plasma optical emission spectroscopy. Spectral data were retrieved from all samples using an FT-IR/NIR spectrometer in the range of 1000 - 2500 nm. The samples were subdivided into two sets: (i) soil and (ii) soil and bed sediments. Prediction models were built using the random forest algorithm (RF) and partial least squares regression (PLS) combined with different spectral preprocessing methods. Satisfactory results were obtained for Al, Ti, Sc, and V, and reasonable results for Fe, La, Mn, Pr, Sm, Sr, and Th. Our findings indicate that RF models obtains generally better results than PLS, and also that NIR spectroscopy can be a viable alternative assessment ... Mostrar Tudo |
Palavras-Chave: |
Aprendizado de máquina; Contamination; Espectroscopia; Gestão de recursos hídricos; Hydrological monitoring; Infravermelho; Machine learning; Monitoramento hidrológico; Soil sensing; Water resources management. |
Thesagro: |
Contaminação. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02775naa a2200361 a 4500 001 2142678 005 2022-05-05 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.microc.2022.107544$2DOI 100 1 $aMAIA, A. J. 245 $aNear-infrared spectroscopy for prediction of potentially toxic elements in soil and sediments from a semiarid and coastal humid tropical transitional river basin.$h[electronic resource] 260 $c2022 520 $aThe input of potentially toxic elements (PTE) in river basins is a major environmental problem. PTE concentrations are determined using traditional analytical methods, which are mostly time consuming, expensive, and reliant on hazardous reagents. An alternative method to traditional chemical analysis is near-infrared (NIR) spectroscopy, which allows for the quantification of several PTEs through chemometric models. The aim of this study is to apply NIR spectroscopy for the prediction of PTE concentrations in the Ipojuca river basin, an area exposed to potential pollutant activities. We collected 145 soil samples and 33 bed sediments samples. All samples were ground and sieved at <- 100-um, and then analyzed for Al, Ce, Co, Cr, Fe, La, Mn, Mo, Ni, Pr, Sc, Sm, Sn, Sr, Th, Ti, V, and Y concentrations by inductively coupled plasma optical emission spectroscopy. Spectral data were retrieved from all samples using an FT-IR/NIR spectrometer in the range of 1000 - 2500 nm. The samples were subdivided into two sets: (i) soil and (ii) soil and bed sediments. Prediction models were built using the random forest algorithm (RF) and partial least squares regression (PLS) combined with different spectral preprocessing methods. Satisfactory results were obtained for Al, Ti, Sc, and V, and reasonable results for Fe, La, Mn, Pr, Sm, Sr, and Th. Our findings indicate that RF models obtains generally better results than PLS, and also that NIR spectroscopy can be a viable alternative assessment tool even in large areas with geochemical and pedological heterogeneity. 650 $aContaminação 653 $aAprendizado de máquina 653 $aContamination 653 $aEspectroscopia 653 $aGestão de recursos hídricos 653 $aHydrological monitoring 653 $aInfravermelho 653 $aMachine learning 653 $aMonitoramento hidrológico 653 $aSoil sensing 653 $aWater resources management 700 1 $aNASCIMENTO, R. C. 700 1 $aSILVA, Y. J. A. B. da 700 1 $aNASCIMENTO, C. W. A. do 700 1 $aMENDES, W. de S. 700 1 $aVERAS NETO, J. G. 700 1 $aARAUJO FILHO, J. C. de 700 1 $aTIECHER, T. 700 1 $aSILVA, Y. J. A. B. da 773 $tMicrochemical Journal$gv. 179, 107544, Aug. 2022.
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Embrapa Solos (CNPS) |
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Biblioteca(s): |
Embrapa Rondônia. |
Data corrente: |
25/03/2022 |
Data da última atualização: |
25/03/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
COSTA, N. de L.; GONCALVES, C. A.; OLIVEIRA, M. A. S.; OLIVEIRA, J. R. da C. |
Afiliação: |
NEWTON DE LUCENA COSTA, UEPAE-PORTO VELHO; CARLOS ALBERTO GONCALVES, UEPAE-BELEM; MARIA ALICE SANTOS OLIVEIRA, UEPAE-PORTO VELHO; JOSE RIBAMAR DA CRUZ OLIVEIRA, CPAF-RO. |
Título: |
Introdução e avaliação de gramíneas forrageiras em Porto Velho, Rondônia - Brasil. |
Ano de publicação: |
1990 |
Fonte/Imprenta: |
In: REUNION RED INTERNACIONAL DE EVALUACION DE PASTOS TROPICALES, 1., 1990, Lima. [Anais]. Cali: CIAT, 1990. |
Páginas: |
V. 1, p. 141-144. |
Série: |
(CIAT. Documento de trabajo, 75). |
Idioma: |
Português |
Conteúdo: |
Foram avaliados 30 germoplasmas de gramíneas forrageiras para selecionar as que mais se adaptam às condições edafoclimáticas do estado de Rondônia. |
Palavras-Chave: |
Amazônia Ocidental; Embrapa Rondônia; Porto Velho (RO); Rondônia; Western Amazon. |
Thesagro: |
Aclimatação; Campo Experimental; Características Agronômicas; Comportamento de Variedade; Condição Ambiental; Gramínea Forrageira; Manejo; Pastagem; Rendimento. |
Thesaurus NAL: |
Acclimation; Agronomic traits; Crop yield; Demonstration farms; Environmental factors; Forage grasses; Pasture management; Variety trials. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232930/1/cpafro-18734.pdf
|
Marc: |
LEADER 01488nam a2200433 a 4500 001 2141315 005 2022-03-25 008 1990 bl uuuu u00u1 u #d 100 1 $aCOSTA, N. de L. 245 $aIntrodução e avaliação de gramíneas forrageiras em Porto Velho, Rondônia - Brasil.$h[electronic resource] 260 $aIn: REUNION RED INTERNACIONAL DE EVALUACION DE PASTOS TROPICALES, 1., 1990, Lima. [Anais]. Cali: CIAT$c1990 300 $aV. 1, p. 141-144. 490 $a(CIAT. Documento de trabajo, 75). 520 $aForam avaliados 30 germoplasmas de gramíneas forrageiras para selecionar as que mais se adaptam às condições edafoclimáticas do estado de Rondônia. 650 $aAcclimation 650 $aAgronomic traits 650 $aCrop yield 650 $aDemonstration farms 650 $aEnvironmental factors 650 $aForage grasses 650 $aPasture management 650 $aVariety trials 650 $aAclimatação 650 $aCampo Experimental 650 $aCaracterísticas Agronômicas 650 $aComportamento de Variedade 650 $aCondição Ambiental 650 $aGramínea Forrageira 650 $aManejo 650 $aPastagem 650 $aRendimento 653 $aAmazônia Ocidental 653 $aEmbrapa Rondônia 653 $aPorto Velho (RO) 653 $aRondônia 653 $aWestern Amazon 700 1 $aGONCALVES, C. A. 700 1 $aOLIVEIRA, M. A. S. 700 1 $aOLIVEIRA, J. R. da C.
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