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L.-W. Antony Chen

Researcher at University of Nevada, Las Vegas

Publications -  64
Citations -  5181

L.-W. Antony Chen is an academic researcher from University of Nevada, Las Vegas. The author has contributed to research in topics: Particulates & Combustion. The author has an hindex of 33, co-authored 61 publications receiving 4527 citations. Previous affiliations of L.-W. Antony Chen include University of Nevada, Reno & Nevada System of Higher Education.

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The IMPROVE_A Temperature Protocol for Thermal/Optical Carbon Analysis: Maintaining Consistency with a Long-Term Database

TL;DR: A method to detect small quantities of O2 in the pure He carrier gas shows that O2 levels above 100 ppmv also affect the comparability of thermal carbon fractions but have little effect on the IMPROVE_TOR split between OC and EC.
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Equivalence of elemental carbon by thermal/optical reflectance and transmittance with different temperature protocols.

TL;DR: This work demonstrates that thermal/ optical reflectance (TOR) corrections yield equivalent OC/ EC splits for widely divergent temperature protocols, and results determined by simultaneous thermal/optical transmittance (TOT) corrections are 30% lower than TOR for the same temperature protocol and 70-80% lower for a protocol with higher heating temperatures and shorter residence times.
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Summary of Organic and Elemental Carbon/Black Carbon Analysis Methods and Intercomparisons

TL;DR: Many different thermal, optical, and thermal/optical carbon analysis methods for organic carbon (OC), elemental carbon (EC) or black carbon (BC) have been applied throughout the world to evaluate visibility and the Earth's radiation balance as mentioned in this paper.
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Mass reconstruction methods for PM2.5: a review

TL;DR: Important factors for improving agreement between measured and reconstructed PM mass are the f multiplier for converting OC to OM and accounting for OC sampling artifacts.
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Source Apportionment: Findings from the U.S. Supersites Program

TL;DR: UNMIX, positive matrix factorization (PMF), and effective variance are different solutions to the chemical mass balance (CMB) receptor model equations and are implemented on available software.