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

Abstract

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.

Characterizing the Sources of Ambient PM10 Organic Aerosol in Urban and Rural Catalonia, Spain

“…Sandradewi et al (2008) developed an aethalometer model that allowed for the source apportionment of the BC data using light absorption at 470 nm and 950 nm, which can be attributed to BC components originating from fossil fuels and the burning of biomass, respectively. Using this ratio, the fraction of BC originating from fossil fuel and wood burning could be determined; these fractions-as well as the BC concentrations obtained at 880 nm-were used to calculate the concentrations of both fossil fuel BC (BC ff ) and wood burning BC (BC wb ) (Alfoldy et al, 2023;Sandradewi et al, 2008). It should be noted that the aethalometer-based source apportionment model has been estimated to have an uncertainty of 35 % (Healy et al, 2017).…”