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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Air quality forecasting system for Southeastern Brazil

Texto completo
Andrade, Maria de Fatima [1] ; Ynoue, Rita Y. [1] ; Freitas, Edmilson Dias [1] ; Todesco, Enzo [1] ; Vela, Angel Vara [1] ; Ibarre, Sergio [1] ; Martins, Leila Droprinchinski [2] ; Martins, Jorge Alberto [2] ; Barreto Carvalho, Vanessa Silveira [3]
Número total de Autores: 9
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Astron Geophys & Atmospher Sci, Dept Atmospher Sci, Sao Paulo - Brazil
[2] Fed Technol Univ Parana, Curitiba, Parana - Brazil
[3] Univ Fed Itajuba, Inst Nat Resources, Itajuba, MG - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Citações Web of Science: 17

Southeastern Brazil, the most populous and developed region of the country, faces various environmental problems associated with the growth of its population in urban areas. It is the most industrialized area in the country, comprising the metropolitan areas of Sao Paulo, Rio de Janeiro, Belo Horizonte, and other major cities. Air quality is a major concern, because the reported concentrations of certain regulated pollutants, typically ozone and fine particulate, have exceeded national standards. Due to the difficulty in taking measurements over many different areas, air quality modeling is a useful tool to estimate air pollutant concentrations. For southeastern Brazil, air quality modeling has been performed mostly with the Brazilian Regional Atmospheric Modeling System with Simplified Photochemical Module and the Weather Research and Forecast with Chemistry models. One of the main objectives was to study the evolution of air quality associated with improved vehicle emission factors in urban areas, the impact of climate change on air quality, and the relationship between pollutant concentrations and health. Knowledge of mobile source emission factors has been continuously expanded by in-tunnel measurements and dynamometer protocols, which provide accurate data as inputs to photochemical air quality models. The spatial distribution of the mobile source emissions was constructed based on open access data related to the streets and traffic distribution. The mobile emission module was combined to the chemistry modeling and this implementation can be an example to be applied to other places that do not have a spatial distribution of this source. Forecasts of pollutant concentrations can inform public policies, including those addressing the effects of pollutants on health of the general population, and studies of the impacts of using different fuels and implementation of emissions regulations programs. (AU)

Processo FAPESP: 08/58104-8 - Narrowing the uncertainties on aerosol and climate changes in São Paulo State: NUANCES-SPS
Beneficiário:Maria de Fátima Andrade
Linha de fomento: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático