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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
05/05/2022 |
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Data da última atualização: |
05/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Near-infrared spectroscopy for prediction of potentially toxic elements in soil and sediments from a semiarid and coastal humid tropical transitional river basin. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Microchemical Journal, v. 179, 107544, Aug. 2022. |
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DOI: |
https://doi.org/10.1016/j.microc.2022.107544 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Aprendizado de máquina; Contamination; Espectroscopia; Gestão de recursos hídricos; Hydrological monitoring; Infravermelho; Machine learning; Monitoramento hidrológico; Soil sensing; Water resources management. |
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Thesagro: |
Contaminação. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
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Origem |
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Classificação |
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Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Milho e Sorgo. |
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Data corrente: |
04/04/2005 |
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Data da última atualização: |
07/04/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ABREU, A. de F. B.; RAMALHO, M. A. P.; CARNEIRO, J. E. de S.; GONÇALVES, F. M. A.; SANTOS, J. B. dos; DEL PELOSO, M. J.; FARIA, L. C. de; CARNEIRO, G. E. de S.; PEREIRA FILHO, I. A. |
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Afiliação: |
ANGELA DE FATIMA BARBOSA ABREU, CNPAF; MAGNO ANTONIO PATTO RAMALHO, UFLA; JOSE EUSTAQUIO DE SOUZA CARNEIRO, UFV; FLAVIA MARIA AVELAR GONÇALVES, UFLA; JOAO BOSCO DOS SANTOS, UFLA; MARIA JOSE DEL PELOSO, CNPAF; LUIS CLAUDIO DE FARIA, CNPAF; GERALDO ESTEVAM DE SOUZA CARNEIRO, CNPSo; ISRAEL ALEXANDRE PEREIRA FILHO, CNPMS. |
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Título: |
'BRSMG Talimã' : common bean cultivar with Carioca grain type. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 4, n. 3, p. 372-374, Sept. 2004. |
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Idioma: |
Inglês |
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Conteúdo: |
'BRSMG Talismã' is originated from a recurrent selection program based on a population performed in 1990. This work led to the selectgion of line C11-102, released ander the trade mark 'BRSMG Talismã' in 2002 in the State of Minas Gerais and registered in 2003 for Paraná State. |
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Palavras-Chave: |
Cultivar description; Seed production. |
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Thesagro: |
Feijão; Melhoramento genético vegetal; Phaseolus Vulgaris; Variedade. |
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Thesaurus NAL: |
Plant breeding. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/213223/1/cbab-2004.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/51064/1/BRSMG-Talisma.pdf
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Marc: |
LEADER 01187naa a2200301 a 4500
001 1213223
005 2022-04-07
008 2004 bl uuuu u00u1 u #d
100 1 $aABREU, A. de F. B.
245 $a'BRSMG Talimã'$bcommon bean cultivar with Carioca grain type.$h[electronic resource]
260 $c2004
520 $a'BRSMG Talismã' is originated from a recurrent selection program based on a population performed in 1990. This work led to the selectgion of line C11-102, released ander the trade mark 'BRSMG Talismã' in 2002 in the State of Minas Gerais and registered in 2003 for Paraná State.
650 $aPlant breeding
650 $aFeijão
650 $aMelhoramento genético vegetal
650 $aPhaseolus Vulgaris
650 $aVariedade
653 $aCultivar description
653 $aSeed production
700 1 $aRAMALHO, M. A. P.
700 1 $aCARNEIRO, J. E. de S.
700 1 $aGONÇALVES, F. M. A.
700 1 $aSANTOS, J. B. dos
700 1 $aDEL PELOSO, M. J.
700 1 $aFARIA, L. C. de
700 1 $aCARNEIRO, G. E. de S.
700 1 $aPEREIRA FILHO, I. A.
773 $tCrop Breeding and Applied Biotechnology$gv. 4, n. 3, p. 372-374, Sept. 2004.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
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