Banca de DEFESA: JOSIELLI BATISTA SIMÕES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : JOSIELLI BATISTA SIMÕES
DATA : 18/09/2019
HORA: 08:30
LOCAL: Auditório do CCET
TÍTULO:

Estimates and analysis of vehicular emission inventories in the state of Rio Grande do Norte

PALAVRAS-CHAVES:

Atmosphere chemistry. Emissions inventory. Vehicles.

PÁGINAS: 85
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Geociências
SUBÁREA: Meteorologia
ESPECIALIDADE: Química da Atmosfera
RESUMO:

Sources of air pollutants have been steadily increasing and are still the reason for high air pollution episodes in urban areas. affecting human health while also having an impact on climate and the environment. Air quality in a given region is defined by a combination of weather conditions and local emissions. The latter can be analyzed using emission inventories, tools that quantify emission rates from various sources, to serve as a basis for the evaluation of atmospheric chemistry and for air quality management in a region. In this context, for the first time, emissions generated by the global inventory Emission Database for Global Atmospheric Research (EDGAR) will be evaluated for the state of Rio Grande do Norte (RN), through the emissions module (EEM) of the atmospheric chemistry model European Air Pollution Dispersion (EURAD-IM). The adjustment of the EDGAR inventory was performed for two grids, the first with 75 km resolution and the second with a resolution of 15 km, where data were processed in the format necessary for the estimates, focusing on the road transport sector. Then, a downscaling was performed in the state of Rio Grande do Norte generating emission maps for the region, identifying the main cities and the main vehicular traffic routes. In order to verify the accuracy of their spatial distribution, that is, to evaluate if the inventory represents the different emission sources correctly. In addition, a Top-Down approach was performed with the VEIN vehicle emissions model, where emissions were disaggregated at highway level and it was also possible to assess sources by vehicle type, fuel and fleet age. Among the VEIN results it was found that light vehicles such as cars and motorcycles are mainly responsible for carbon monoxide (CO) emissions. These categories, which mostly consume gasoline or alcohol, are also responsible for more than 80% of HCNM emissions. While diesel-powered heavy-duty vehicles contribute most of the emissions of particulate matter (PM), sulfur oxides (SO_x) and nitrogen oxides (NO_x). The results of this estimate have substantially improved information for the region, as VEIN emission maps have a higher level of detail compared to the global inventory. With this work it was possible to get a better understanding of the pollutant emission fluxes and the spatial distribution, as well as the knowledge of the sites and types of vehicles of greater relevance in the contribution of the sources. An improvement was obtained in the vehicular emissions data, generating a more realistic and higher resolution emission inventory for the region, which will contribute in future to the study and management of air quality in the RN.

MEMBROS DA BANCA:
Presidente - 1879213 - JUDITH JOHANNA HOELZEMANN
Externo ao Programa - 1249023 - SEBASTIAO MILTON PINHEIRO DA SILVA
Externo à Instituição - SERGIO ALEJANDRO IBARRA ESPINOSA - USP
Externo à Instituição - JEAN LEITE TAVARES - IFRN