2020
DOI: 10.1080/02786826.2020.1804523
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Quantifying errors in the aerosol mixing-state index based on limited particle sample size

Abstract: This study evaluates the error that is introduced in quantifying observed aerosol mixing states due to a limited particle sample size. We used the particle-resolved model PartMC-MOSAIC to generate a scenario library that encompasses a large number of reference particle populations with a wide range of mixing states quantified by the mixing-state index v. We stochastically sub-sampled these particle populations using sample sizes of 10 to 10,000 particles and recalculated v based on the sub-samples. The finite … Show more

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Cited by 2 publications
(4 citation statements)
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References 43 publications
(58 reference statements)
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“…65 At least 10,000 particles are necessary to determine χ within 10% confidence interval. 66 Here, ∼4000−11,000 particles (for different samples) were used to calculate χ. Figure S6 shows D γ as a function of D α with lines indicating different χ values, and χ lies between 60 and 65%, suggesting that a significant fraction of the particles was internally mixed during all three events.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…65 At least 10,000 particles are necessary to determine χ within 10% confidence interval. 66 Here, ∼4000−11,000 particles (for different samples) were used to calculate χ. Figure S6 shows D γ as a function of D α with lines indicating different χ values, and χ lies between 60 and 65%, suggesting that a significant fraction of the particles was internally mixed during all three events.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…D α measures the average species diversity within a single particle, D γ measures the overall diversity in the bulk population, and χ measures the degree to which the particle population is externally mixed (χ = 0%) versus internally mixed (χ = 100%) . At least 10,000 particles are necessary to determine χ within 10% confidence interval . Here, ∼4000–11,000 particles (for different samples) were used to calculate χ.…”
Section: Resultsmentioning
confidence: 99%
“…In general, the students were able to identify high inclusion of salts in their filtered tap water samples (Na, Mg, S, Cl, and K) and high carbon content in the HPLC water samples, which is also consistent with the instructor’s model data. After the evaluation, instructors recap the importance of examining large particle sizes (nominally > 10,000 particles) to statistically represent particle properties and ambient particle data to the students. , Nevertheless, the representativeness of single particle analysis is beyond the scope of this educational activity.…”
Section: Resultsmentioning
confidence: 99%
“…After the evaluation, instructors recap the importance of examining large particle sizes (nominally > 10,000 particles) to statistically represent particle properties and ambient particle data to the students. 25 , 26 Nevertheless, the representativeness of single particle analysis is beyond the scope of this educational activity.…”
Section: Resultsmentioning
confidence: 99%