Characterization of organic aerosol produced during pulverized coal combustion in a drop tube furnace

Wang, X.; Williams, Brent J.; Tang, Yong; Huang, Yuanlong; Kong, Lingdong; Yang, Xin; Biswas, Pratim

doi:10.5194/acp-13-10919-2013

Cited by 76 publications

(64 citation statements)

References 57 publications

(91 reference statements)

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“…Pratt et al, 2009) or grouped aerosol particles as simply mixed or industrial (Pratt et al, 2010). Similar comments have been made by Wang et al (2013) about the incorrect apportionment of coal combustion particles in the atmosphere to biomass burning sources. In this study, we have provided the first direct evidence that combustion ash particles can nucleate ice in the immersion mode.…”

Section: Atmospheric Implications Of Combustion Ash Particles As Ice mentioning

confidence: 63%

“…This has led to ∼ 8000 million tonnes of coal being consumed daily in coalfired power plants which are distributed all over the world (WCA, 2013). It is estimated that about 90 % of the fly ash is captured via different collection mechanisms such as electrostatic precipitators, fabric filters or bag houses, dust collectors, and other hybrid engineering systems like hot gas filtration systems (Bond et al, 2004;Wang et al, 2013;WCA, 2013). Nevertheless, sizeable quantities of these ash particles are emitted to the atmosphere as a result of inefficiencies associated with collection systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Ice nucleation by combustion ash particles at conditions relevant to mixed-phase clouds

et al. 2015

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Ice-nucleating particles can modify cloud properties with implications for climate and the hydrological cycle; hence, it is important to understand which aerosol particle types nucleate ice and how efficiently they do so. It has been shown that aerosol particles such as natural dusts, volcanic ash, bacteria and pollen can act as ice-nucleating particles, but the ice-nucleating ability of combustion ashes has not been studied. Combustion ashes are major by-products released during the combustion of solid fuels and a significant amount of these ashes are emitted into the atmosphere either during combustion or via aerosolization of bottom ashes. Here, we show that combustion ashes (coal fly ash, wood bottom ash, domestic bottom ash, and coal bottom ash) nucleate ice in the immersion mode at conditions relevant to mixed-phase clouds. Hence, combustion ashes could play an important role in primary ice formation in mixed-phase clouds, especially in clouds that are formed near the emission source of these aerosol particles. In order to quantitatively assess the impact of combustion ashes on mixed-phase clouds, we propose that the atmospheric abundance of combustion ashes should be quantified since up to now they have mostly been classified together with mineral dust particles. Also, in reporting ice residue compositions, a distinction should be made between natural mineral dusts and combustion ashes in order to quantify the contribution of combustion ashes to atmospheric ice nucleation. I.: Utilization and disposal of fly ash and other coal Atmos. Chem. Phys., 15, 5195-5210, 2015 www.atmos-chem-phys.net/15/5195/2015/

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Section: Atmospheric Implications Of Combustion Ash Particles As Ice mentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Ice nucleation by combustion ash particles at conditions relevant to mixed-phase clouds

et al. 2015

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“…The averaged HOA 151 profile fro m the 7-to 10-factor solutions was used as the anchor profile for M E-2 due to the s mall d ifferences among the 152 different solutions. Additionally, the constraining CCOA profile for Dongguan is still under consideration because the mass 153 spectrum of BBOA was found to be very similar to that of CCOA, raising the concern that coal combustion particles might 154 have been incorrectly apportioned to bio mass burning sources (Wang et al, 2013). Furthermo re, an appropriate CCOA 155 anchor profile could not be obtained due to an increase in the unconstrained PMF factor number (see Figure S2) and because 156 few studies have reported a comparison of the CCOA profile to other PMF factors.…”

Section: Qingdao 150mentioning

confidence: 99%

Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2)

Zhu¹,

Huang²,

Cao³

et al. 2017

Preprint

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Organic aerosols (OAs), which consist of thousands of comp lex co mpounds emitted fro m various sources, 8 constitute one of the major co mponents of fine particu late matter. The traditional positive matrix factorizat ion (PMF) method 9 often apportions aerosol mass spectrometer (AMS) o rganic datasets into less meaningful or mixed factors , especially in 10 complex urban cases. In this study, an improved source apportionment method using a bilinear model of the mu ltilinear 11 engine (ME-2) was applied to OAs collected during the heavily polluted season from two Ch inese megacities located in the 12 north and south with an Aerodyne high-resolution aerosol mass spectrometer (HR-ToF-AMS). We applied a rather novel 13 procedure for utilization of prior info rmation and selecting optimal solutions. Ultimately, six reasonable factors were clearly 14 resolved and quantified for both sites by constraining one or more factors : hydrocarbon-like OA (HOA), cooking-related OA 15 (COA), b io mass burning OA (BBOA), coal co mbustion (CCOA), less-oxidized o xygenated OA (LO -OOA) and more-16 oxidized o xygenated OA (MO-OOA). In co mparison, the traditional PMF method could not effectively resolve the 17 appropriate factors, e.g., BBOA and CCOA, in the solutions. Moreover, coal co mbustion and traffic emissions were 18 determined to be primarily responsible for the concentrations of PAHs and BC, respectively, through the regression analyses 19 of the ME-2 results. 20

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“…BC and PAHs are mainly derived from incomplete combustion processes (Schmidt and Noack, 2000;White, 1985), and thus they were used as tracers for the POAs. In this study, the BC was directly measured by the AE-31, and the PAHs were quantified using the method developed by Bruns et al (2015) based on AMS data.…”

Section: Regression Analysis For Poa Tracersmentioning

confidence: 99%

Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2)

et al. 2018

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Abstract. Organic aerosols (OAs), which consist of thousands of complex compounds emitted from various sources, constitute one of the major components of fine particulate matter. The traditional positive matrix factorization (PMF) method often apportions aerosol mass spectrometer (AMS) organic datasets into less meaningful or mixed factors, especially in complex urban cases. In this study, an improved source apportionment method using a bilinear model of the multilinear engine (ME-2) was applied to OAs collected during the heavily polluted season from two Chinese megacities located in the north and south with an Aerodyne highresolution aerosol mass spectrometer (HR-ToF-AMS). We applied a rather novel procedure for utilization of prior information and selecting optimal solutions, which does not necessarily depend on other studies. Ultimately, six reasonable factors were clearly resolved and quantified for both sites by constraining one or more factors: hydrocarbon-like OA (HOA), cooking-related OA (COA), biomass burning OA (BBOA), coal combustion (CCOA), less-oxidized oxygenated OA (LO-OOA) and more-oxidized oxygenated OA (MO-OOA). In comparison, the traditional PMF method could not effectively resolve the appropriate factors, e.g., BBOA and CCOA, in the solutions. Moreover, coal combustion and traffic emissions were determined to be primarily responsible for the concentrations of PAHs and BC, respectively, through the regression analyses of the ME-2 results.

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Characterization of organic aerosol produced during pulverized coal combustion in a drop tube furnace

Cited by 76 publications

References 57 publications

Ice nucleation by combustion ash particles at conditions relevant to mixed-phase clouds

Ice nucleation by combustion ash particles at conditions relevant to mixed-phase clouds

Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2)

Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2)

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