Characterization of Fine Particulate Matter Emitted from the Resuspension of Road and Pavement Dust in the Metropolitan Area of São Paulo, Brazil

Hetem, Ivan Gregório; Andrade, María de Fátima

doi:10.3390/atmos7030031

Cited by 40 publications

(38 citation statements)

References 25 publications

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“…The CO 2 emissions show a similar trend with CO 2 e, experiencing three stages of increase, decrease, and increase, reaching 3.8 × 10 6 t in the year 2015. As for the other two types of greenhouse gases, CH 4 and N 2 O, annual emissions are also depicted in Figure 4c,d, respectively.…”

Section: Ghg Emissions From Heavy-duty Trucks In Beijingmentioning

confidence: 95%

“…where m represents the three areas (Beijing, Tianjin, and Hebei); n represents the pollutants considered in this study (CH 4 , CO 2 , and N 2 O); i represents the type of fuels, including natural gas and diesel, and j represents the types of heavy-duty trucks, which include tractor trailers, pickup trucks, special trucks, and dump trucks. EQ m,n represents the emissions (tons) of pollutant n in area m; P m,i is the population of heavy-duty trucks powered by fuel type i in area m; M i represents the average of annual mileage traveled (km) for type j trucks; EF i,n is the emission factor (g/km) of pollutant n emitted from heavy-duty trucks powered by fuel type i.…”

Section: Calculation Methodsmentioning

confidence: 99%

“…The COPERT model was a European road transport emission inventory calculation model that is similar to the emission standard profile of China [31][32][33]. The emission factors of CO 2 , CH 4 , and N 2 O of heavy-duty vehicles powered by diesel and natural gas under different Chinese National standards of emission are listed in Table 2. Figure 1 shows the population of heavy-duty trucks in Beijing-Tianjin-Hebei from 2006 to 2015.…”

Section: The Emission Factormentioning

confidence: 99%

“…To report GHG emissions on a CO 2 e basis, the resultant emissions for each of the GHGs are multiplied by their individual GWP (global warming potentials) and added. Further, the global warming potentials (GWPs) of CH 4 and N 2 O are 25 and 298, respectively. A sharp increase can be observed between the years 2006 and 2011 (Figure 4a).…”

Section: Ghg Emissions From Heavy-duty Trucks In Beijingmentioning

confidence: 99%

“…As a result, air pollution and anthropogenic GHG emissions have become major global issues [1][2][3][4]. In an effort to improve the environmental quality, the 21st session of the United Nations (UN) Climate Change Conference was held in Paris from 30 November to 11 December of 2015 [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The Characteristics of Greenhouse Gas Emissions from Heavy-Duty Trucks in the Beijing-Tianjin-Hebei (BTH) Region in China

Song

et al. 2016

Atmosphere

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This paper aims to study the characteristics of greenhouse gas (GHG) emissions from heavy-duty trucks in the Beijing-Tianjin-Hebei (BTH) region, which is located in Northern China. The multiyear emissions of GHG (CO 2 , CH 4 and N 2 O) from heavy-duty trucks fueled by diesel and natural gas during the period of 2006-2015 were compared and analyzed. The results show that the GHG emissions from heavy-duty trucks increase with time, which is consistent with the trend of the population growth. The total amount of carbon dioxide equivalence (CO 2 e) emissions in the BTH region was about 5.12 × 10 6 t in 2015. Among the three sub-regions, Hebei possesses the largest number of heavy-duty trucks due to the size of its heavy-duty industries. As a consequence, the GHG emissions are about 10 times compared to Beijing and Tianjin. Tractor trailers account for the major proportion of heavy-duty trucks and hence contribute to about 74% of GHG emissions. Diesel-and liquefied natural gas (LNG)-powered heavy-duty trucks can reduce GHG emissions more effectively under current national standard IV than can the previous standard. The widespread utilization of the alternative fuel of LNG to mitigate emissions must be accompanied with engine technology development in China. This study has provided new insight on management methods and the policy-making as regards trucks in terms of environmental demand.

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Section: Ghg Emissions From Heavy-duty Trucks In Beijingmentioning

confidence: 95%

Section: Calculation Methodsmentioning

confidence: 99%

Section: The Emission Factormentioning

confidence: 99%

Section: Ghg Emissions From Heavy-duty Trucks In Beijingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Characteristics of Greenhouse Gas Emissions from Heavy-Duty Trucks in the Beijing-Tianjin-Hebei (BTH) Region in China

Song

et al. 2016

Atmosphere

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Wet Dust Sampler—a Sampling Method for Road Dust Quantification and Analyses

Lundberg

Blomqvist

Gustafsson

et al. 2019

Water Air Soil Pollut

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In northern countries, the climate, and consequently the use of studded tyres and winter traction sanding, causes accumulation of road dust over winter and spring, resulting in high PM 10 concentrations during springtime dusting events. To quantify the dust at the road surface, a method-the wet dust sampler (WDS)was developed allowing repeatable sampling also under wet and snowy conditions. The principle of operation is flushing high-pressurised water over a defined surface area and transferring the dust laden water into a container for further analyses. The WDS has been used for some time and is presented in detail to the international scientific community as reported by Jonsson et al. (2008) and Gustafsson et al. (2019), and in this paper, the latest version is presented together with an evaluation of its performance. To evaluate the WDS, the ejected water amount was measured, as well as water losses in different parts of the sampling system, together with indicative dust measurement using turbidity as a proxy for dust concentration. The results show that the WDS, when accounting for all losses, have a predictable and repeatable water performance, with no impact on performance based on the variety of asphalt surface types included in this study, given undamaged surfaces. The largest loss was found to be water retained on the surface, and the dust measurements imply that this might not have as large impact on the sampled dust as could be expected. A theoretical particle mass balance shows small particle losses, while field measurements show higher losses. Several tests are suggested to validate and improve on the mass balances. Finally, the WDS is found to perform well and is able to contribute to further knowledge regarding road dust implications for air pollution.

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WRF-SMOKE-CMAQ modeling system for air quality evaluation in São Paulo megacity with a 2008 experimental campaign data

Albuquerque

Andrade

Ynoue

et al. 2018

Environ Sci Pollut Res

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Characterization of Fine Particulate Matter Emitted from the Resuspension of Road and Pavement Dust in the Metropolitan Area of São Paulo, Brazil

Cited by 40 publications

References 25 publications

The Characteristics of Greenhouse Gas Emissions from Heavy-Duty Trucks in the Beijing-Tianjin-Hebei (BTH) Region in China

The Characteristics of Greenhouse Gas Emissions from Heavy-Duty Trucks in the Beijing-Tianjin-Hebei (BTH) Region in China

Wet Dust Sampler—a Sampling Method for Road Dust Quantification and Analyses

WRF-SMOKE-CMAQ modeling system for air quality evaluation in São Paulo megacity with a 2008 experimental campaign data

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