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| Registros recuperados : 39 | |
| 4. |  | PICOLI, J. F.; BARIZON, R. R. M.; BIRKVED, M.; MATSUURA, M. I. da S. F. Modeling of pesticide emissions for life cycle assessment of agricultural products. In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. p. 193-198.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 16. | | DIAS, F. R. T.; MATSUURA, M. I. da S. F.; PICOLI, J. F.; COSTA, F. P.; ABREU, U. G. P. de; FASIABEN, M. do C. R. Inventário de ciclo de vida da produção de bovinos de corte no Brasil. In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. p. 685-692. GCV 2018.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | DIAS, F. R. T.; MATSUURA, M. I. da S. F.; PICOLI, J. F.; COSTA, F. P.; ABREU, U. G. P. de; FASIABEN, M. do C. R. Inventário de ciclo de vida da produção de bovinos de corte no Brasil. In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. p. 685-692. GCV 2018.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 18. | | DIAS, F. R. T.; MATSUURA, M. I. da S. F.; PICOLI, J. F.; COSTA, F. P.; ABREU, U. G. P. de; FASIABEN, M. do C. R. Inventário de ciclo de vida da produção de bovinos de corte no Brasil. In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. p. 685-692. GCV 2018.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Pantanal. |
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| 19. | | DONKE, A. C. G.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; MORENO-RUIZ, E.; REINHARD, J.; PICOLI, J. F.; MATSUURA, M. I. da S. F. Integrating regionalized Brazilian land use change datasets into the ecoinvent database: new data, premises and uncertainties have large effects in the results. The International Journal of Life Cycle Assessment, v. 25, n. 6, p. 1027-1042, 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 39 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
09/01/2019 |
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Data da última atualização: |
09/01/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PICOLI, J. F.; BARIZON, R. R. M.; BIRKVED, M.; MATSUURA, M. I. da S. F. |
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Afiliação: |
JULIANA FERREIRA PICOLI; ROBSON ROLLAND MONTICELLI BARIZON, CNPMA; MORTEN BIRKVED, Technical University of Denmark; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Modeling of pesticide emissions for life cycle assessment of agricultural products. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. |
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Páginas: |
p. 193-198. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Brazil is the fourth largest food producer in the world. The agricultural sector contributes significantly to the Bralizian economy, representing 23% of GDP in 2016. Government and private initiatives have encouraged the adoption of more sustainable production models. The potential benefits of these models can be better estimated by tools that consider the entire production chain, such as Life Cycle Assessment (LCA). One of the main challenges of LCA applied to agricultural systems is to estimate pesticide emissions to different environmental compartments. This study evaluates the influence on the environmental impacts of two approaches to estimating the pesticide emissions of a major Brazilian agricultural product, sugarcane: 1) 100% emissions to soil, according to Nemecek & Schnetzer (2011); 2) fractionated emissions to air, surface water and groundwater, according to the PestLCI v2.0.8 model, parameterized for three Brazilian regions. The environmental life cycle impact assessment was conducted using UseTox v2.0.2 for the categories of human toxicity (HT) and freshwater ecotoxicity (ETfw) impact categories. For both impact categories, environmental impacts of sugarcane production were influenced by the methodological approach, with significant differences for ETfw (about 20% higher when applying the PestLCI modelling). In general, the main contributors to the HT and ETfw categories were heavy metals and the insecticide fipronil, respectively. The results of this work highlights the importance of developing emission models that consider the complex dynamics of pesticides in agricultural production. MenosAbstract: Brazil is the fourth largest food producer in the world. The agricultural sector contributes significantly to the Bralizian economy, representing 23% of GDP in 2016. Government and private initiatives have encouraged the adoption of more sustainable production models. The potential benefits of these models can be better estimated by tools that consider the entire production chain, such as Life Cycle Assessment (LCA). One of the main challenges of LCA applied to agricultural systems is to estimate pesticide emissions to different environmental compartments. This study evaluates the influence on the environmental impacts of two approaches to estimating the pesticide emissions of a major Brazilian agricultural product, sugarcane: 1) 100% emissions to soil, according to Nemecek & Schnetzer (2011); 2) fractionated emissions to air, surface water and groundwater, according to the PestLCI v2.0.8 model, parameterized for three Brazilian regions. The environmental life cycle impact assessment was conducted using UseTox v2.0.2 for the categories of human toxicity (HT) and freshwater ecotoxicity (ETfw) impact categories. For both impact categories, environmental impacts of sugarcane production were influenced by the methodological approach, with significant differences for ETfw (about 20% higher when applying the PestLCI modelling). In general, the main contributors to the HT and ETfw categories were heavy metals and the insecticide fipronil, respectively. The results of this... Mostrar Tudo |
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Palavras-Chave: |
Agricultural systems; Avaliação do ciclo de vida; Inventário de ciclos de vida; Pesticide emission model; PestLCI. |
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Thesagro: |
Agrotóxico; Cana de açúcar; Impacto ambiental; Pesticida. |
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Thesaurus NAL: |
Life cycle assessment; life cycle inventory; Pesticides; sugarcane. |
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Categoria do assunto: |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190128/1/2018AA30.pdf
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Marc: |
LEADER 02636nam a2200313 a 4500
001 2103479
005 2019-01-09
008 2018 bl uuuu u00u1 u #d
100 1 $aPICOLI, J. F.
245 $aModeling of pesticide emissions for life cycle assessment of agricultural products.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict$c2018
300 $ap. 193-198.
520 $aAbstract: Brazil is the fourth largest food producer in the world. The agricultural sector contributes significantly to the Bralizian economy, representing 23% of GDP in 2016. Government and private initiatives have encouraged the adoption of more sustainable production models. The potential benefits of these models can be better estimated by tools that consider the entire production chain, such as Life Cycle Assessment (LCA). One of the main challenges of LCA applied to agricultural systems is to estimate pesticide emissions to different environmental compartments. This study evaluates the influence on the environmental impacts of two approaches to estimating the pesticide emissions of a major Brazilian agricultural product, sugarcane: 1) 100% emissions to soil, according to Nemecek & Schnetzer (2011); 2) fractionated emissions to air, surface water and groundwater, according to the PestLCI v2.0.8 model, parameterized for three Brazilian regions. The environmental life cycle impact assessment was conducted using UseTox v2.0.2 for the categories of human toxicity (HT) and freshwater ecotoxicity (ETfw) impact categories. For both impact categories, environmental impacts of sugarcane production were influenced by the methodological approach, with significant differences for ETfw (about 20% higher when applying the PestLCI modelling). In general, the main contributors to the HT and ETfw categories were heavy metals and the insecticide fipronil, respectively. The results of this work highlights the importance of developing emission models that consider the complex dynamics of pesticides in agricultural production.
650 $aLife cycle assessment
650 $alife cycle inventory
650 $aPesticides
650 $asugarcane
650 $aAgrotóxico
650 $aCana de açúcar
650 $aImpacto ambiental
650 $aPesticida
653 $aAgricultural systems
653 $aAvaliação do ciclo de vida
653 $aInventário de ciclos de vida
653 $aPesticide emission model
653 $aPestLCI
700 1 $aBARIZON, R. R. M.
700 1 $aBIRKVED, M.
700 1 $aMATSUURA, M. I. da S. F.
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Embrapa Meio Ambiente (CNPMA) |
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