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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria Tropical. Para informações adicionais entre em contato com cnpat.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
14/03/2022 |
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Data da última atualização: |
14/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MARQUES, F. P.; COLARES, A. S.; CAVALCANTE, M. N.; ALMEIDA, J. S.; LOMONACO, D.; SILVA, L. M. A. e; ROSA, M. de F.; LEITAO, R. C. |
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Afiliação: |
FRANCISCO P. MARQUES, Departament of Organic and Inorganic Chemistry, Federal University of Ceará; ALDO S. COLARES, Embrapa Agroindústria Tropical; MARIA N. CAVALCANTE, Embrapa Agroindústria Tropical; JESSICA S. ALMEIDA, Embrapa Agroindústria Tropical; DIEGO LOMONACO, Departament of Organic and Inorganic Chemistry, Federal University of Ceará; LORENA MARA ALEXANDRE E SILVA, CNPAT; MORSYLEIDE DE FREITAS ROSA, CNPAT; RENATO CARRHA LEITAO, CNPAT. |
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Título: |
Optimization by Response Surface Methodology of Ethanosolv Lignin Recovery from Coconut Fiber, Oil Palm Mesocarp Fiber, and Sugarcane Bagasse. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Industrial & Engineering Chemistry Research, 28, 2022. |
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DOI: |
https://doi.org/10.1021/acs.iecr.1c04362 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Ethanol organosolv method; Lignin yield. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00780naa a2200229 a 4500
001 2140866
005 2022-03-14
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1021/acs.iecr.1c04362$2DOI
100 1 $aMARQUES, F. P.
245 $aOptimization by Response Surface Methodology of Ethanosolv Lignin Recovery from Coconut Fiber, Oil Palm Mesocarp Fiber, and Sugarcane Bagasse.$h[electronic resource]
260 $c2022
653 $aEthanol organosolv method
653 $aLignin yield
700 1 $aCOLARES, A. S.
700 1 $aCAVALCANTE, M. N.
700 1 $aALMEIDA, J. S.
700 1 $aLOMONACO, D.
700 1 $aSILVA, L. M. A. e
700 1 $aROSA, M. de F.
700 1 $aLEITAO, R. C.
773 $tIndustrial & Engineering Chemistry Research, 28, 2022.
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
02/12/2014 |
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Data da última atualização: |
02/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
HERNANDEZ, F. B. T.; NEALE, C. M. U.; TEIXEIRA, A. H. de C.; TAGHVAEIAN, S. |
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Afiliação: |
F. B. T. HERNANDEZ, UNESP; C. M. U. NEALE, Utah State University; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; S. TAGHVAEIAN, Colorado State University. |
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Título: |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the northwest of São Paulo State, Brazil. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Acta Horticulturae, n. 1038, p. 263-270, 2014. |
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ISBN: |
0567-7572 |
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Idioma: |
Português |
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Notas: |
Presented at the 7th International Symposium on Irrigation of Horticultural Crops. |
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Conteúdo: |
The best irrigation management depends on accurate estimation of reference evapotranspiration (ET0) and then selection of the appropriate crop coefficient for each phenological stage. However, the evaluation of water productivity on a large scale can be done by using actual evapotranspiration (ETa), determined by coupling agrometeorological and remote sensing data. This paper describes methodologies used for estimating ETa for 20 centerpivots using three different approaches: the traditional FAO crop coefficient (Kc) method and two remote sensing algorithms, one called SEBAL and other named TEIXEIRA. The methods were applied to one Landsat 5 Thematic Mapper image acquired in July 2010 over the Northwest portion of the Sao Paulo State, Brazil. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. ET0 was calculated by the Penman-Monteith method with data from one automated weather station close to the study site. The results showed that for the crops at effective full cover, SEBAL and TEIXEIRA?s methods agreed well comparing with the traditional method. However, both remote sensing methods overestimated ETa according to the degree of exposed soil, with the TEIXEIRA method presenting closer ETa values with those resulted from the traditional FAO Kc method. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic Kc values to further determine ETa on a large scale. However, several images during the growing seasons must be used to establish the necessary adjustments to the traditional FAO crop coefficient method. MenosThe best irrigation management depends on accurate estimation of reference evapotranspiration (ET0) and then selection of the appropriate crop coefficient for each phenological stage. However, the evaluation of water productivity on a large scale can be done by using actual evapotranspiration (ETa), determined by coupling agrometeorological and remote sensing data. This paper describes methodologies used for estimating ETa for 20 centerpivots using three different approaches: the traditional FAO crop coefficient (Kc) method and two remote sensing algorithms, one called SEBAL and other named TEIXEIRA. The methods were applied to one Landsat 5 Thematic Mapper image acquired in July 2010 over the Northwest portion of the Sao Paulo State, Brazil. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. ET0 was calculated by the Penman-Monteith method with data from one automated weather station close to the study site. The results showed that for the crops at effective full cover, SEBAL and TEIXEIRA?s methods agreed well comparing with the traditional method. However, both remote sensing methods overestimated ETa according to the degree of exposed soil, with the TEIXEIRA method presenting closer ETa values with those resulted from the traditional FAO Kc method. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic Kc values to further determine ETa on a large scale. However, several images dur... Mostrar Tudo |
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Palavras-Chave: |
Weather station. |
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Thesaurus NAL: |
Crop coefficient. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02357naa a2200205 a 4500
001 2001243
005 2014-12-02
008 2014 bl uuuu u00u1 u #d
022 $a0567-7572
100 1 $aHERNANDEZ, F. B. T.
245 $aDetermining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the northwest of São Paulo State, Brazil.$h[electronic resource]
260 $c2014
500 $aPresented at the 7th International Symposium on Irrigation of Horticultural Crops.
520 $aThe best irrigation management depends on accurate estimation of reference evapotranspiration (ET0) and then selection of the appropriate crop coefficient for each phenological stage. However, the evaluation of water productivity on a large scale can be done by using actual evapotranspiration (ETa), determined by coupling agrometeorological and remote sensing data. This paper describes methodologies used for estimating ETa for 20 centerpivots using three different approaches: the traditional FAO crop coefficient (Kc) method and two remote sensing algorithms, one called SEBAL and other named TEIXEIRA. The methods were applied to one Landsat 5 Thematic Mapper image acquired in July 2010 over the Northwest portion of the Sao Paulo State, Brazil. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. ET0 was calculated by the Penman-Monteith method with data from one automated weather station close to the study site. The results showed that for the crops at effective full cover, SEBAL and TEIXEIRA?s methods agreed well comparing with the traditional method. However, both remote sensing methods overestimated ETa according to the degree of exposed soil, with the TEIXEIRA method presenting closer ETa values with those resulted from the traditional FAO Kc method. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic Kc values to further determine ETa on a large scale. However, several images during the growing seasons must be used to establish the necessary adjustments to the traditional FAO crop coefficient method.
650 $aCrop coefficient
653 $aWeather station
700 1 $aNEALE, C. M. U.
700 1 $aTEIXEIRA, A. H. de C.
700 1 $aTAGHVAEIAN, S.
773 $tActa Horticulturae$gn. 1038, p. 263-270, 2014.
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