Contribution of coal combustion to black carbon: Coupling tracers with the aethalometer model

Blanco-Alegre, C.; Fialho, Paulo; Calvo, Ana; Castro, Amaya; Coz, Esther; Oduber, Fernanda; Prévôt, Andrê S. H.; Močnik, Griša; Alves, Célia; Giardi, Fabio; Pazzi, Giulia; Fraile, Roberto

doi:10.1016/j.atmosres.2021.105980

Cited by 7 publications

(2 citation statements)

References 86 publications

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“…The MLR analysis is a well-known and widely used method in source apportionment calculations; however, its combination with the Aethalometer model just recently appeared in the literature. Blanco-Alegre et al (2022) applied the MLR method to decouple the BB-and coal-combustionrelated BC based on source-specific correlations between specific tracers (K for wood burning and As for coal combustion). Kalogridis et al (2018) used the source apportionment information provided by the Aethalometer model for the source apportionment of carbon monoxide (CO) in Athens.…”

Section: Co 2 Source Apportionmentmentioning

confidence: 99%

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Alföldy

Gregorič²,

Ivančič³

et al. 2023

Atmos. Meas. Tech.

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Abstract. Black carbon (BC) aerosol typically has two major sources in the urban environment: traffic and domestic biomass burning, which has a significant contribution to urban air pollution during the heating season. Traffic emissions have been widely studied by both laboratory experiments (individual vehicle emission) and real-world measurement campaigns (fleet emission). However, emission information from biomass burning is limited, especially an insufficiency of experimental results from real-world studies. In this work, the black carbon burden in the urban atmosphere was apportioned to fossil fuel (FF) and biomass burning (BB) related components using the Aethalometer source apportionment model. Applying the BC source apportionment information, the combustion-related CO2 was apportioned by multilinear regression analysis, supposing that both CO2 components should be correlated with their corresponding BC component. The combination of the Aethalometer model with the multilinear regression analysis (AM-MLR) provided the source-specific emission ratios (ERs) as the slopes of the corresponding BC–CO2 regressions. Based on the ER values, the source-specific emission factors (EFs) were determined using the carbon content of the corresponding fuel. The analysis was carried out on a 3-month-long BC and CO2 dataset collected at three monitoring locations in Ljubljana, Slovenia, between December 2019 and March 2020. The measured mean site-specific concentration values were in the 3560–4830 ng m−3 and 458–472 ppm ranges for BC and CO2, respectively. The determined average EFs for BC were 0.39 and 0.16 g(kg fuel)−1 for traffic and biomass burning, respectively. It was also concluded that the traffic-related BC component dominates the black carbon concentration (55 %–64 % depending on the location), while heating has the major share in the combustion-related CO2 (53 %–62 % depending on the location). The method gave essential information on the source-specific emission factors of BC and CO2, enabling better characterization of urban anthropogenic emissions and the respective measures that may change the anthropogenic emission fingerprint.

show abstract

Section: Co 2 Source Apportionmentmentioning

confidence: 99%

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Alföldy

Gregorič²,

Ivančič³

et al. 2023

Atmos. Meas. Tech.

View full text Add to dashboard Cite

show abstract

Section: Co 2 Source Apportionmentmentioning

confidence: 99%

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Alföldy

Gregorič

Ivančič

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. Black carbon aerosol (BC) typically has two major sources in the urban environment; traffic, and domestic biomass burning which has a significant contribution to urban air pollution during the heating season. Traffic emissions have been widely studied by both laboratory experiments (individual vehicle emission) and real-world measurement campaigns (fleet emission). However, emission information from biomass burning is limited, especially an insufficiency of experimental results from real-world studies. In this work, the black carbon burden in the urban atmosphere was apportioned to fossil fuel (FF) and biomass burning (BB) related components using the Aethalometer source apportionment model. Applying the BC source apportionment information, the combustion-related CO2 was apportioned by multi-linear regression analysis, supposing that both CO2 components should be correlated with their corresponding BC component. The combination of the Aethalometer model with the multi-linear regression analysis (AM-MLR) provided the source-specific emission ratios (ER) as the slope of the corresponding BC-CO2 regression. Based on the ER values, the source-specific emission factors (EFs) were determined using the carbon content of the corresponding fuel. The analysis has been carried out on a three-month long BC and CO2 dataset collected at three monitoring locations in Ljubljana, Slovenia, between December 2019 and March 2020. The measured mean site-specific concentration values were in the 3500–4800 ng m-3 and 458–472 ppm range for BC and CO2, respectively. The determined average EFs for BC were 0.39 and 0.16 g/(kg fuel) for traffic and biomass burning, respectively. It was also concluded that the traffic-related BC component dominates the black carbon concentration (55–65 % depending on the location), while heating has the major share in the combustion-related CO2 (53–62 % depending on the location). The method gave essential information on the source-specific emission factors of BC and CO2, enabling better characterization of urban anthropogenic emissions and the respective measures that may change the anthropogenic emission fingerprint.

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Residential combustion of coal: Effect of the fuel and combustion stage on emissions

Vicente,

Calvo,

Alves

et al. 2023

Chemosphere

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Contribution of coal combustion to black carbon: Coupling tracers with the aethalometer model

Cited by 7 publications

References 86 publications

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Residential combustion of coal: Effect of the fuel and combustion stage on emissions

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Contribution of coal combustion to black carbon: Coupling tracers with the aethalometer model

Cited by 7 publications

References 86 publications

Source apportionment of black carbon and combustion-related CO2 for the determination of source-specific emission factors

Source apportionment of black carbon and combustion-related CO2 for the determination of source-specific emission factors

Source apportionment of black carbon and combustion-related CO2 for the determination of source-specific emission factors

Residential combustion of coal: Effect of the fuel and combustion stage on emissions

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Product

Resources

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Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors

Source apportionment of black carbon and combustion-related CO₂ for the determination of source-specific emission factors