Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter

Emission inventories are one of the most critical inputs for the successful modeling of air quality. The performance of the modeling results is directly affected by the quality of atmospheric emission inventories. Consequently, the development of representative inventories is always required. Due to...

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Bibliographic Details
Published in:Environmental science and pollution research international 2020-10, Vol.27 (29), p.35952-35970
Main Authors: Andreão, Willian Lemker, Alonso, Marcelo Felix, Kumar, Prashant, Pinto, Janaina Antonino, Pedruzzi, Rizzieri, de Almeida Albuquerque, Taciana Toledo
Format: Article
Language:English
Subjects:
Air pollution
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric research
Byproducts
Catalysis
Catalysts
Catalytic activity
Cities
Climate and Pollution: From Measurement to Modeling Applications
Deactivation
Degradation
Deionization
Dosage
Earth and Environmental Science
Ecotoxicology
Emissions
Engineering
Environment
Environmental Chemistry
Environmental engineering
Environmental Health
Environmental science
Halides
Investigations
Metropolitan areas
Morphology
Outdoor air quality
Performance evaluation
pH effects
Population
Scavenging
Selectivity
Sulfamethoxazole
Urban Air Quality
Urban areas
Vehicles
Waste Water Technology
Wastewater
Water Management
Water Pollution Control
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Summary:Emission inventories are one of the most critical inputs for the successful modeling of air quality. The performance of the modeling results is directly affected by the quality of atmospheric emission inventories. Consequently, the development of representative inventories is always required. Due to the lack of regional inventories in Brazil, this study aimed to investigate the use of the particulate matter (PM) emission estimation from the Brazilian top-down vehicle emission inventory (VEI) of 2012 for air quality modeling. Here, we focus on road vehicles since they are usually responsible for significant emissions of PM in urban areas. The total Brazilian emission of PM (63,000 t year −1 ) from vehicular sources was distributed into the urban areas of 5557 municipalities, with 1-km 2 grid spacing, considering two approaches: (i) population and (ii) fleet of each city. A comparison with some local inventories is discussed. The inventory was compiled in the PREP-CHEM-SRC processor tool. One-month modeling (August 2015) was performed with WRF-Chem for the four metropolitan areas of Brazilian Southeast: Belo Horizonte (MABH), Great Vitória (MAGV), Rio de Janeiro (MARJ), and São Paulo (MASP). In addition, modeling with the Emission Database for Global Atmospheric Research (EDGAR) inventory was carried out to compare the results. Overall, EDGAR inventory obtained higher PM emissions than the VEI segregated by population and fleet, which is expected owing to considerations of additional sources of emission (e.g., industrial and residential). This higher emission of EDGAR resulted in higher PM 10 and PM 2.5 concentrations, overestimating the observations in MASP, while the proposed inventory well represented the ambient concentrations, obtaining better statistics indices. For the other three metropolitan areas, both EDGAR and the VEI inventories obtained consistent results. Therefore, the present work endorses the fact that vehicles are responsible for the more substantial contribution to PM emissions in the studied urban areas. Furthermore, the use of VEI can be representative for modeling air quality in the future.
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-020-08476-y