Regionalization in Brazilian context of Life Cycle Impact Assessment models for the particulate material formation category

• Grant number: 19/03287-5
• Support Opportunities: Scholarships in Brazil - Master
• Start date: September 01, 2019
• End date: February 28, 2021
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Diogo Aparecido Lopes Silva
• Grantee: Gabriela Giusti
• Host Institution: Centro de Ciências e Tecnologias para a Sustentabilidade (CCTS). Universidade Federal de São Carlos (UFSCAR). Sorocaba , SP, Brazil

Abstract

In Life Cycle Assessment (LCA) studies, Life Cycle Impact Assessment (LCIA) stage is used to understand and evaluate the magnitude and significance of potential environmental impacts generated by a product system, through the use of mathematical models developed to convert the product life-cycle inventory data into potential life-cycle impacts. One category that AICV studies is the formation of particulate matter, which refers to formation of a set of airborne particles in atmosphere. For each impact category evaluated by LCIA, several characterization models are available. However, these models are not adapted to Brazilian reality, because they have been developed in Europe, United States and Japan, mainly. In this way, the goal of this research project is to propose the adaptation of LCIA characterization models to category of formation of particulate matter in the Brazilian context. The methodology of this project will consist in carrying out a bibliographical review in order to identify the LCIA models for this category; then select the most appropriate model for Brazilian reality based on pre-defined criteria; to regionalize the selected model, identifying data demanded and searching for them in reliable national sources; and finally, to analyze uncertainties of regionalized model, applying regionalization to a case study in Brazil. With this project is expected to help develop LCIA in Brazil, with the main result being regionalization of the most appropriate model for the particulate matter formation category, improving LCIA results of this impact category in national LCA studies, obtaining values closer to reality. With regionalization, it is expected to determine characterization factors for different locations in national territory and, with results of uncertainty analysis, it is expected to confirm confidence intervals of the use of determined factors.

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

GIUSTI, G.; DE ALMEIDA, G. F.; DE APRESENTACAO, M. J. DE F.; GALVAO, L. S.; KNUDSEN, M. T.; DJOMO, S. N.; SILVA, D. A. L.. Environmental impacts management of grain and sweet maize through life cycle assessment in Sao Paulo, Brazil. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, v. N/A, p. 16-pg., 2022-08-07. (19/03287-5)

SILVA, DIOGO A. LOPES; GIUSTI, GABRIELA; RAMPASSO, IZABELA S.; JUNIOR, ANTONIO CARLOS FARRAPO; MARINS, MANOELA ANECHINI SIMOES; ANHOLON, ROSLEY. The environmental impacts of face-to-face and remote university classes during the COVID-19 pandemic. SUSTAINABLE PRODUCTION AND CONSUMPTION, v. 27, p. 1975-1988, JUL 2021. (19/03287-5)

GIUSTI, GABRIELA; VIEIRA, JOSE GERALDO VIDAL; DE SOUZA TADANO, YARA; SILVA, DIOGO APARECIDO LOPES; FANTKE, PETER. Health effects of particulate matter formation in Life Cycle Impact Assessment: critical review and recommendation of models for Brazil. INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, v. 27, n. 6, p. 17-pg., 2022-06-09. (21/06685-1, 19/03287-5)