An air emission risk assessment of non-criteria pollutants in a tunnel study in Rio de Janeiro, Brazil.
José Claudino Souza Almeida1,2, Thiago Fonseca da Costa1, Graciela Arbilla2
1Department of Sanitary and Environmental Engineering, State University of Rio de Janeiro, São Franscisco Xavier Street, 524 - Maracanã, Rio de Janeiro - RJ, Rio de Janeiro, 20550-013, Brazil.
Environmental Monitoring and Assessment
|November 26, 2024
View abstract on PubMed
Summary
This study compared two methods for estimating vehicle emissions in Brazil, finding similar results for aldehydes and BTEX compounds from ethanol-powered cars. The choice of method depends on available resources and traffic flow data.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Transportation Engineering
Background:
- Brazil's unique ethanol-powered vehicle fleet presents distinct mobile source emission profiles.
- Tunnel investigations offer real-world vehicular conditions for accurate emission rate estimation, unlike standardized laboratory methods.
Purpose of the Study:
- To evaluate and compare two distinct methods for estimating emission factors from vehicles in the Rebouças Tunnel, Rio de Janeiro.
- To assess the emission rates of total aldehydes, BTEX compounds, and naphthalene from Brazil's circulating vehicle fleet.
Main Methods:
- Utilized two monitoring points in the L1 gallery of the Rebouças Tunnel over thirteen sampling campaigns between 2017 and 2020.
- Employed the Pierson correlation method and the fuel consumption testing method to estimate emission factors.
- Collected data on traffic flow, CO, and CO2 concentrations for method comparison.
Main Results:
- The Pierson method yielded total aldehyde emission rates of 22.1 ± 6.9 mg km⁻¹, while fuel consumption testing resulted in 17.7 ± 7.8 mg km⁻¹.
- Acetaldehyde was the predominant aldehyde. Benzene was the most abundant BTEX compound (3.7 ± 3.2 mg km⁻¹ via Pierson, 2.5 ± 0.3 mg km⁻¹ via fuel consumption).
- Naphthalene emission rates were 1.4 ± 1.0 mg km⁻¹ (Pierson) and 0.9 ± 0.4 mg km⁻¹ (fuel consumption).
Conclusions:
- Both the Pierson correlation and fuel consumption testing methods provide converging estimates for vehicle emissions, despite methodological differences.
- The selection of an emission estimation method should be guided by the availability of resources and specific study requirements.
- The Pierson method offers an alternative that bypasses the need for CO and CO2 measurements, relying instead on traffic flow data.


