Abstract:Organic and elemental carbon (OC and EC) are operationally-defined by the measurement process, so long-term trends may be interrupted with instrumentation changes. A modification to the U.S. IMPROVE carbon analysis protocol and hardware is examined that replaces the 633 nm laser light used for OC charring adjustments with seven wavelengths ranging from 405 to 980 nm, including one at 635 nm. Reflectance (R) and Transmittance (T) values for each wavelength are made traceable to primary standards through transfe… Show more
“…Half of the quartz-fiber filter (i.e., channels two and six) was analyzed for (1) four anions (i.e., chloride, Cl − ; nitrite, NO − 2 ; nitrate, NO − 3 ; and sulfate, SO = 4 ), three cations (i.e., water-soluble sodium, Na + ; potassium, K + ; and ammonium, NH + 4 ), and nine organic acids (including four mono-and five dicarboxylic acids) by ion chromatography (IC) with a conductivity detector (CD) ; (2) 17 carbohydrates including levoglucosan and its isomers by IC with a pulsed amperometric detector (PAD); and (3) WSOC by combustion and nondispersive infrared (NDIR) detection. A portion (0.5 cm 2 ) of the other half quartz-fiber filter was analyzed for OC, EC, and brown carbon (BrC) by the IMPROVE_A multiwavelength thermal-optical reflectancetransmittance method Chow et al, 2007Chow et al, , 2015b; the IMPROVE_A protocol reports eight operationally defined thermal fractions (i.e., OC1 to OC4 evolved at 140, 280, 480, and 580 • C in helium atmosphere; EC1 to EC3 evolved at 580, 740, and 840 • C in helium-oxygen atmosphere; and pyrolyzed carbon, OP) that further characterize carbon properties under different combustion and aging conditions. Citric acid-and sodium chloride-impregnated cellulose-fiber filters placed behind the Teflon-membrane and quartz-fiber filters, respectively, ac-Figure 1.…”
Section: Pm 25 Mass and Chemical Analysesmentioning
Abstract. Smoke from laboratory chamber burning of peat fuels from Russia, Siberia, the
USA (Alaska and Florida), and Malaysia representing boreal, temperate,
subtropical, and tropical regions was sampled before and after passing
through a potential-aerosol-mass oxidation flow reactor (PAM-OFR) to
simulate intermediately aged (∼2 d) and well-aged
(∼7 d) source profiles. Species abundances in PM2.5 between aged and fresh profiles varied by several orders of magnitude with
two distinguishable clusters, centered around 0.1 % for reactive and ionic
species and centered around 10 % for carbon. Organic carbon (OC) accounted for 58 %–85 % of PM2.5 mass in fresh
profiles with low elemental carbon (EC) abundances (0.67 %–4.4 %). OC abundances decreased by
20 %–33 % for well-aged profiles, with reductions of 3 %–14 % for the
volatile OC fractions (e.g., OC1 and OC2, thermally evolved at 140 and 280 ∘C). Ratios of organic matter (OM) to OC abundances increased by
12 %–19 % from intermediately aged to well-aged smoke. Ratios of ammonia (NH3) to
PM2.5 decreased after intermediate aging. Well-aged NH4+ and NO3- abundances increased to 7 %–8 %
of PM2.5 mass, associated with decreases in NH3, low-temperature
OC, and levoglucosan abundances for Siberia, Alaska, and Everglades
(Florida) peats. Elevated levoglucosan was found for Russian peats,
accounting for 35 %–39 % and 20 %–25 % of PM2.5 mass for fresh and
aged profiles, respectively. The water-soluble organic carbon (WSOC)
fractions of PM2.5 were over 2-fold higher in fresh Russian peat (37.0±2.7 %) than in Malaysian (14.6±0.9 %) peat. While
Russian peat OC emissions were largely water-soluble, Malaysian peat
emissions were mostly water-insoluble, with WSOC ∕ OC ratios of 0.59–0.71 and
0.18–0.40, respectively. This study shows significant differences between fresh and aged peat
combustion profiles among the four biomes that can be used to establish
speciated emission inventories for atmospheric modeling and receptor model
source apportionment. A sufficient aging time (∼7 d) is
needed to allow gas-to-particle partitioning of semi-volatilized species,
gas-phase oxidation, and particle volatilization to achieve representative
source profiles for regional-scale source apportionment.
“…Half of the quartz-fiber filter (i.e., channels two and six) was analyzed for (1) four anions (i.e., chloride, Cl − ; nitrite, NO − 2 ; nitrate, NO − 3 ; and sulfate, SO = 4 ), three cations (i.e., water-soluble sodium, Na + ; potassium, K + ; and ammonium, NH + 4 ), and nine organic acids (including four mono-and five dicarboxylic acids) by ion chromatography (IC) with a conductivity detector (CD) ; (2) 17 carbohydrates including levoglucosan and its isomers by IC with a pulsed amperometric detector (PAD); and (3) WSOC by combustion and nondispersive infrared (NDIR) detection. A portion (0.5 cm 2 ) of the other half quartz-fiber filter was analyzed for OC, EC, and brown carbon (BrC) by the IMPROVE_A multiwavelength thermal-optical reflectancetransmittance method Chow et al, 2007Chow et al, , 2015b; the IMPROVE_A protocol reports eight operationally defined thermal fractions (i.e., OC1 to OC4 evolved at 140, 280, 480, and 580 • C in helium atmosphere; EC1 to EC3 evolved at 580, 740, and 840 • C in helium-oxygen atmosphere; and pyrolyzed carbon, OP) that further characterize carbon properties under different combustion and aging conditions. Citric acid-and sodium chloride-impregnated cellulose-fiber filters placed behind the Teflon-membrane and quartz-fiber filters, respectively, ac-Figure 1.…”
Section: Pm 25 Mass and Chemical Analysesmentioning
Abstract. Smoke from laboratory chamber burning of peat fuels from Russia, Siberia, the
USA (Alaska and Florida), and Malaysia representing boreal, temperate,
subtropical, and tropical regions was sampled before and after passing
through a potential-aerosol-mass oxidation flow reactor (PAM-OFR) to
simulate intermediately aged (∼2 d) and well-aged
(∼7 d) source profiles. Species abundances in PM2.5 between aged and fresh profiles varied by several orders of magnitude with
two distinguishable clusters, centered around 0.1 % for reactive and ionic
species and centered around 10 % for carbon. Organic carbon (OC) accounted for 58 %–85 % of PM2.5 mass in fresh
profiles with low elemental carbon (EC) abundances (0.67 %–4.4 %). OC abundances decreased by
20 %–33 % for well-aged profiles, with reductions of 3 %–14 % for the
volatile OC fractions (e.g., OC1 and OC2, thermally evolved at 140 and 280 ∘C). Ratios of organic matter (OM) to OC abundances increased by
12 %–19 % from intermediately aged to well-aged smoke. Ratios of ammonia (NH3) to
PM2.5 decreased after intermediate aging. Well-aged NH4+ and NO3- abundances increased to 7 %–8 %
of PM2.5 mass, associated with decreases in NH3, low-temperature
OC, and levoglucosan abundances for Siberia, Alaska, and Everglades
(Florida) peats. Elevated levoglucosan was found for Russian peats,
accounting for 35 %–39 % and 20 %–25 % of PM2.5 mass for fresh and
aged profiles, respectively. The water-soluble organic carbon (WSOC)
fractions of PM2.5 were over 2-fold higher in fresh Russian peat (37.0±2.7 %) than in Malaysian (14.6±0.9 %) peat. While
Russian peat OC emissions were largely water-soluble, Malaysian peat
emissions were mostly water-insoluble, with WSOC ∕ OC ratios of 0.59–0.71 and
0.18–0.40, respectively. This study shows significant differences between fresh and aged peat
combustion profiles among the four biomes that can be used to establish
speciated emission inventories for atmospheric modeling and receptor model
source apportionment. A sufficient aging time (∼7 d) is
needed to allow gas-to-particle partitioning of semi-volatilized species,
gas-phase oxidation, and particle volatilization to achieve representative
source profiles for regional-scale source apportionment.
“…The soil is calculated using the following formula: Soil = 2.2Al + 2.49Si + 1.63Ca +1.94Ti + 2.42Fe (Malm et al 1994 This setup is a practical possibility for the newly designed DRI model 2015 TOA (McGee Scientific, Berkeley, CA). This instrument also allows for simultaneous determination of multiwavelength light absorption and separation of brown carbon from black carbon Chow et al, 2015b), as well as providing more precise sample heating that can better bracket the decomposition temperatures of different compounds found in suspended particles (MacKenzie 1970).…”
Section: Summary Conclusion and Future Workmentioning
confidence: 99%
“…(2) water-soluble ammonium (NH 4 + ), nitrate (NO 3 − ), sulfate (SO 4 2-), chloride (Cl − ), sodium (Na + ), and potassium (K + ) by ion chromatography (IC) (Chow andWatson 1999, 2017); and (3) organic carbon (OC) and elemental carbon (EC) with a thermal/optical analyzer (TOA) (Chow et al 2007(Chow et al , 1993b. With appropriate weighting for unmeasured hydrogen (H) and oxygen (O) components in geological material and organic matter (OM), the PM 2.5 gravimetric mass can be reproduced with reasonable accuracy (Chow et al 2015a).…”
Ammonium, nitrate, and sulfate can be quantified by the same thermal evolution analysis applied to organic and elemental carbon. This holds the potential to replace multiple parallel filter samples and separate laboratory analyses with a single filter and a single analysis to account for a large portion of the PM mass concentration.
“…Quartz-fiber filters are commonly used for carbon (Chow et al 1993(Chow et al , 2007(Chow et al , 2015b and ion analyses (Chow andWatson 1999, 2017), with a parallel Teflon sample used for gravimetric analysis. Quartz filters adsorb organic vapors (Chow et al 2010;Watson et al 2009), which yields a positive bias to gravimetric measurements.…”
Aerosol sampling onto filter media with laboratory weighing before and after drawing air through the filter is the most commonly applied method to determine PM 2.5 and PM 10 concentrations. Although simple in concept, determining the net gain in weight from an aerosol deposit is complicated by adsorption of gases onto the filter, retention of water by the filter and the deposit, electrostatic charges that result in attraction of the filter to balance surfaces, contamination during filter handling, losses or additions to filter material, evaporation of semivolatile aerosols, and inhomogeneous sample deposits. Additional restrictions apply when the weighed filters are submitted to subsequent chemical speciation analyses. A precisely controlled environment, with clean air and constant temperature and humidity, is required for filter weighing and processing, and filters must be equilibrated at these conditions. Balances must have sensitivities of B1 lg, be calibrated with well-established primary standards, and be regularly serviced. Ionizing sources are used to neutralize electrostatic charges. Regular quality control and quality assurance procedures involve filter inspection for defects before and after sampling, periodic balance zero and span checks, replicate filter weights, and independent system and performance audits.
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