| |
|
|
| Registros recuperados : 11 | |
| 1. |  | GOMES, H. A. R.; WISCHRAL, D.; MENDES, T. D.; PACHECO, T. F.; SALUM, T. F. C.; DAMASO, M. C. T. Cellulolytic enzymes production by Talaromyces pinophilus and its application in biomass deconstruction. In: SIMPÓSIO NACIONAL DE BIOPROCESSOS, 22.; SIMPÓSIO DE HIDRÓLISE ENZIMÁTICA DE BIOMASSA, 13., 2019, Uberlândia, MG. [Proceedings ...]. São Paulo: Associação Brasileira de Engenharia Química, 2019. SINAFERM; SHEB. 28 a 31 de julho. Seção Trabalhos.| Biblioteca(s): Embrapa Agroenergia. |
|    |
| 2. | | GOMES, H. A. R.; WISCHRAL, D.; MENDES, T. D.; PACHECO, T. F.; DAMASO, M. C. T.; SALUM, T. F. C. Influência de diferentes fontes de carbono sobre a produção de celulases por cepas de Penicillium e Talaromyces. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 6., 2020, Brasília, DF. Anais... Brasília, DF: Embrapa, 2020. p. 195-200 il.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 3. | | WISCHRAL, D.; GOMES, H. A. R.; PACHECO, T. F.; MENDES, T. D.; SALUM, T. F. C.; DAMASO, M. C. T.; GONCALVES, S. B. Avaliação de estratégias de alimentação para produção de celulases por Penicillium rolfsii BRM052264 em biorreator. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 6., 2020, Brasília, DF. Anais... Brasília, DF: Embrapa, 2020. p. 181-187 il.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 4. | | PELÁEZ, R. D. R.; WISCHRAL, D.; MENDES, T. D.; PACHECO, T. F.; URBEN, A. F.; HELM, C. V.; MENDONCA, S.; BALAN, V.; SIQUEIRA, F. G. de. Co-culturing of micro- and macro-fungi for producing highly active enzyme cocktail for producing biofuels. Bioresource Technology Reports, v. 16, 100833, Dec. 2021. 8 p.| Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
|  |
| 5. | | GOMES, H. A. R.; WISCHRAL, D.; PACHECO, T. F.; MENDES, T. D.; SALUM, T. F. C.; GONCALVES, S. B.; DAMASO, M. C. T. Padronização de microensaio para dosagem de atividade xilanolítica. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 5., 2018, Brasília, DF. Anais ... Brasília, DF: Embrapa Agroenergia, 2018. p. 26.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 6. | | SILVA, E. A. da; MENDES, T. D.; PACHECO, T. F.; CAMPANHA, R. B.; WISCHRAL, D.; MENDONCA, S.; CAMASSOLA, M.; SIQUEIRA, F. G. de; SOUZA JUNIOR, M. T. Colonization of oil palm empty fruit bunches by basidiomycetes from the Brazilian cerrado: deconstruction of biomass. Biofuels, Bioproducts and Biorefining, 2022. First online| Biblioteca(s): Embrapa Agroenergia. |
| |
| 7. | | SILVA, E. A. da; MENDES, T. D.; PACHECO, T. F.; WISCHRAL, D.; SANTOS, D. C. dos; MENDONCA, S.; CAMASSOLA, M.; SIQUEIRA, F. G. de; SOUZA JUNIOR, M. T. Colonization of oil palm empty fruit bunches by basidiomycetes from the Brazilian cerrado: enzyme production. Energy Science & Engineering, v. 10, p. 1189-1201, 2022.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 8. | | ROMERO PELÁEZ, R. D.; SERRA, L. A.; WISCHRAL, D.; CUNHA, J. R. B.; MENDES, T. D.; PACHECO, T. F.; SIQUEIRA, F. G. de; ALMEIDA, J. R. M. de. Improvement of laccase activity in co-culture of Panus lecomtei and Sporidiobolus pararoseus and its application as an enzymatic additive in biomass hydrolysis and dye decolorization. Fermentation, v. 9, n. 11, 945, 2023.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 9. | | ROMERO PELÁEZ, R. D.; WISCHRAL, D.; CUNHA, J. R. B.; MENDES, T. D.; PACHECO, T. F.; SIQUEIRA, F. G. de; ALMEIDA, J. R. M. de. Production of enzymatic extract with high cellulolytic and oxidative activities by co-culture of Trichoderma reesei and Panus lecomtei. Fermentation, v. 8, n. 10, 522, 2022. 17 p.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 10. | | CUNHA, J. R. B.; WISCHRAL, D.; PELÁEZ, R. D. R.; MAGALHÃES, P. de O.; GUIMARÃES, M. B.; JESUS, M. A. de; SALES-CAMPOS, C.; MENDES, T. D.; DIAS, E. S.; MENDONCA, S.; SIQUEIRA, F. G. de. Aqueous extracts of fermented macrofungi cultivated in oilseed cakes as a carbon source for probiotic bacteria and potential antibacterial activity. Metabolites, v. 13, n. 854, 2023.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 11. | | CUNHA, J. R. B.; WISCHRAL, D.; PELAEZ, R. D. R.; JESUS, M. A. de; SALES-CAMPOS, C.; CAMPANHA, R. B.; MENDES, T. D.; MENDONCA, S.; DIAS, E. S.; SIQUEIRA, F. G. de. Bioactives and extracellular enzymes obtained from fermented macrofungi cultivated in cotton and Jatropha seed cakes. Microorganisms , v. 10, n. 8, 1670, 2022.| Biblioteca(s): Embrapa Agroenergia. |
| |
| Registros recuperados : 11 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Pantanal. |
|
Data corrente: |
08/12/2021 |
|
Data da última atualização: |
08/12/2021 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
FAVA, M. C.; BENSO, M. R.; DELBEM, A. C. B.; SILVA, R. F. da; MENDIONDO, E. M.; PADOVANI, C. R.; GESUALDO, G. C.; SARAIVA, A. M. |
|
Afiliação: |
MARIA CLARA FAVA, Federal University of Viçosa (UFV); MARCOS ROBERTO BENSO, University of São Paulo (USP); ALEXANDRE CLÁUDIO BOTAZZO DELBEM, University of São Paulo (USP); ROBERTO FRAY DA SILVA, University of São Paulo (USP); EDUARDO MARIO MENDIONDO, University of São Paulo (USP); CARLOS ROBERTO PADOVANI, CPAP; GABRIELA CHIQUITO GESUALDO, University of São Paulo (USP); ANTONIO MAURO SARAIVA, University of São Paulo (USP). |
|
Título: |
Automatic spatial rainfall estimation on limited coverage areas. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
In: IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, 3., 2021, Trento-Bolzano. Proceedings... [S.l.]: IEEE, 2021. |
|
Páginas: |
p. 232-237. |
|
Idioma: |
Português |
|
Notas: |
MetroAgriFor 2021. |
|
Conteúdo: |
Abstract: Providing accurate rainfall estimation at limited coverage areas is challenging, especially when considering the lack of weather stations maintenance and the existence of missing or incorrect data. Another source of uncertainty related to in situ stations is the need to extrapolate the measures for spatial applications. The Inverse Distance Weighted (IDW) method has been widely used to interpolate rainfall data. When using this method, two hyperparameters need to be defined, the radius of influence and the power factor. However, there are no reference values for these variables in literature for different applications because these are directly related to local features. This study proposes a framework that automatically calculates the rainfall interpolation using IDW and a cross-validation method to find its optimal hyperparameters. It can be directly implemented on any rainfall dataset, regardless of: (i) the amount of data available; (ii) the quality of the area coverage (station density); (iii) the number of weather stations; and (iv) the existence of missing values. Cross-validation is performed for each timestep to consider all the available data for all stations. The method and its symmetric mean absolute percentage error (sMAPE) were evaluated in a case study for the Pantanal Region in Brazil. |
|
Thesagro: |
Simulador de Chuva. |
|
Thesaurus NAL: |
Estimation; Prediction; Rainfall simulation. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02164nam a2200265 a 4500
001 2137346
005 2021-12-08
008 2021 bl uuuu u00u1 u #d
100 1 $aFAVA, M. C.
245 $aAutomatic spatial rainfall estimation on limited coverage areas.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, 3., 2021, Trento-Bolzano. Proceedings... [S.l.]: IEEE$c2021
300 $ap. 232-237.
500 $aMetroAgriFor 2021.
520 $aAbstract: Providing accurate rainfall estimation at limited coverage areas is challenging, especially when considering the lack of weather stations maintenance and the existence of missing or incorrect data. Another source of uncertainty related to in situ stations is the need to extrapolate the measures for spatial applications. The Inverse Distance Weighted (IDW) method has been widely used to interpolate rainfall data. When using this method, two hyperparameters need to be defined, the radius of influence and the power factor. However, there are no reference values for these variables in literature for different applications because these are directly related to local features. This study proposes a framework that automatically calculates the rainfall interpolation using IDW and a cross-validation method to find its optimal hyperparameters. It can be directly implemented on any rainfall dataset, regardless of: (i) the amount of data available; (ii) the quality of the area coverage (station density); (iii) the number of weather stations; and (iv) the existence of missing values. Cross-validation is performed for each timestep to consider all the available data for all stations. The method and its symmetric mean absolute percentage error (sMAPE) were evaluated in a case study for the Pantanal Region in Brazil.
650 $aEstimation
650 $aPrediction
650 $aRainfall simulation
650 $aSimulador de Chuva
700 1 $aBENSO, M. R.
700 1 $aDELBEM, A. C. B.
700 1 $aSILVA, R. F. da
700 1 $aMENDIONDO, E. M.
700 1 $aPADOVANI, C. R.
700 1 $aGESUALDO, G. C.
700 1 $aSARAIVA, A. M.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pantanal (CPAP) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
