2018
DOI: 10.5194/acp-18-16481-2018
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Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015

Abstract: Abstract. Recurring transboundary haze from Indonesian wildfires in previous decades significantly elevated particulate matter (PM) concentrations in Southeast Asia. During that event on 10 to 31 October 2015, we conducted a real-time observation of non-refractory submicron PM (NR-PM1) in Singapore using an Aerodyne aerosol mass spectrometer. Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM2.5) samples to support source apportionment of the online measu… Show more

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Cited by 29 publications
(37 citation statements)
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“…These patterns, termed "source profiles," have been measured in diluted exhaust emissions and resuspended mineral dusts for a variety of representative emitters. Many of these source profiles are compiled in country-specific source profile data bases (Cao, 2018;CARB, 2019;Liu et al, 2017;Mo et al, 2016;Pernigotti et al, 2016; and have been widely used for source apportionment and speciated emission inventories.…”
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confidence: 99%
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“…These patterns, termed "source profiles," have been measured in diluted exhaust emissions and resuspended mineral dusts for a variety of representative emitters. Many of these source profiles are compiled in country-specific source profile data bases (Cao, 2018;CARB, 2019;Liu et al, 2017;Mo et al, 2016;Pernigotti et al, 2016; and have been widely used for source apportionment and speciated emission inventories.…”
mentioning
confidence: 99%
“…Despite this lack of peat-specific fresh and aged source profiles, results have been published for source apportionment in Indonesia (See et al, 2007), Malaysia (Fujii et al, 2017), Singapore (Budisulistiorini et al, 2018), and Ireland (Dall'Osto et al, 2013;Kourtchev et al, 2011;Lin et al, 2019). These have involved sampling under environments dominated by near-source and far-from-source emissions, such as the 2015 Indonesia burning episode, to determine changes in thermally derived carbon fractions with aging (Tham et al, 2019) and inference of aged peat burning profiles from positive matrix factorization (PMF) application to chemically speciated ambient PM samples (Fujii et al, 2017).…”
mentioning
confidence: 99%
“…Peat sampled in Riau province contains small (~0.1%) fraction of sulfur (Budisulistiorini et al, ; Neuzil et al, ). In addition, aerosol particles emitted from Indonesian peat combustion also include sulfur containing species (Budisulistiorini et al, ; Ikegami et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, aerosol particles emitted from Indonesian peat combustion also include sulfur containing species (Budisulistiorini et al, ; Ikegami et al, ). Sulfate concentration in Singapore increased when the country was covered by wildfire haze transported from Indonesia (Budisulistiorini et al, ). These results could be considered as supporting evidence that combustion of Indonesian peat emit SO 2 to the atmosphere.…”
Section: Discussionmentioning
confidence: 99%
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