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dc.contributor.authorPICOLI, J. F.
dc.contributor.authorBARIZON, R. R. M.
dc.contributor.authorBIRKVED, M.
dc.contributor.authorMATSUURA, M. I. da S. F.
dc.date.accessioned2019-01-11T00:09:45Z-
dc.date.available2019-01-11T00:09:45Z-
dc.date.created2019-01-09
dc.date.issued2018
dc.identifier.citationIn: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1103479-
dc.descriptionAbstract: 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.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAvaliação do ciclo de vida
dc.subjectInventário de ciclos de vida
dc.subjectPesticide emission model
dc.subjectPestLCI
dc.subjectAgricultural systems
dc.titleModeling of pesticide emissions for life cycle assessment of agricultural products.
dc.typeArtigo em anais e proceedings
dc.date.updated2019-01-11T00:09:45Zpt_BR
dc.subject.thesagroAgrotóxico
dc.subject.thesagroPesticida
dc.subject.thesagroImpacto ambiental
dc.subject.thesagroCana de açúcar
dc.subject.nalthesaurusLife cycle assessment
dc.subject.nalthesaurusPesticides
dc.subject.nalthesauruslife cycle inventory
dc.subject.nalthesaurussugarcane
dc.format.extent2p. 193-198.
riaa.ainfo.id1103479
riaa.ainfo.lastupdate2019-01-09
dc.contributor.institutionJULIANA FERREIRA PICOLI; ROBSON ROLLAND MONTICELLI BARIZON, CNPMA; MORTEN BIRKVED, Technical University of Denmark; MARILIA IEDA DA S F MATSUURA, CNPMA.
Aparece en las colecciones:Artigo em anais de congresso (CNPMA)

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