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Universidade de Brasília
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dc.contributor.authorSilva, Victor Alexsander Oliveira-
dc.contributor.authorContreras Pineda, Francisco Javier-
dc.contributor.authorRyu Koide-
dc.contributor.authorChen Liu-
dc.date.accessioned2024-01-31T12:41:25Z-
dc.date.available2024-01-31T12:41:25Z-
dc.date.issued2023-04-03-
dc.identifier.citationSILVA, Victor et al. Analyzing diets’ contribution to greenhouse gas emissions in Brasilia, Brazil. Sustainability, [S. l.], v. 15, n. 7, 6174, 2023. DOI: https://doi.org/10.3390/su15076174. Disponível em: https://www.mdpi.com/2071-1050/15/7/6174. Acesso em: 31 jan. 2024.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/47609-
dc.language.isoengpt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleAnalyzing diets’ contribution to greenhouse gas emissions in Brasilia, Brazilpt_BR
dc.typeArtigopt_BR
dc.subject.keywordDietaspt_BR
dc.subject.keywordEfeito estufapt_BR
dc.subject.keywordPegada de carbonopt_BR
dc.rights.licenseCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)pt_BR
dc.identifier.doihttps://doi.org/10.3390/su15076174pt_BR
dc.description.abstract1Given the effort to reduce greenhouse gas (GHG) emissions, understanding the con sumption patterns that facilitate and support changes is essential. In this context, household food consumption constitutes a large part of society’s environmental impacts due to the production and solid waste generation stages. Hence, we focus on applying the Life Cycle Assessment to estimate Brasilia’s GHG emissions associated with household food consumption. We have used microdata from the Personal Food Consumption Analysis to address consumption patterns. The life cycle approach relies on the adaptations for Brasilia’s scenario of the inventories available in the databases of Ecoinvent 3.6 Cutoff and Agribalyse 3.0.1. Individuals’ GHG emissions results were classified according to sociodemographic groups and dietary patterns and analyzed through Analysis of Variance (ANOVA). The results indicate that household food consumption contributes 11,062.39 t CO2e daily, averaging 5.05 kg CO2e per capita. Meat consumption accounts for the largest share of emissions (55.27%), followed by beverages (18.78%) and cereals (7.29%). The ANOVA results indicate that individuals living in houses, individuals between 45 and 54 years old, and men have a higher carbon footprint. Therefore, future analyses for potential reduction should incorporate these target groups. Regarding dietary patterns, vegan individuals contribute 3.05 kg CO2e/day, 59.00% fewer emissions than omnivorous people. The no red meat, pescatarian, and vegetarian diets also imply lower food-related GHG emissions.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5237-4149pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-3666-2949pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7857-8505pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0180-7178pt_BR
dc.contributor.affiliationUniversity of Campinas, Center for Environmental Studies and Researchpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Civil and Environmental Engineering, Graduate Program on Environmental Technology and Water Resourcespt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Civil and Environmental Engineering, Graduate Program on Environmental Technology and Water Resourcespt_BR
dc.contributor.affiliationMaterial Cycles Division, Global Resource Sustainability Research Section, National Institute for Environmental Studies, Tsukuba 305-8506, Japanpt_BR
dc.contributor.affiliationSustainable Consumption and Production Area, Institute for Global Environmental Strategies, Hayama 240-0115, Japanpt_BR
dc.description.unidadeFaculdade de Tecnologia (FT)pt_BR
dc.description.unidadeDepartamento de Engenharia Civil e Ambiental (FT ENC)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Tecnologia Ambiental e Recursos Hídricospt_BR
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