Top-Down Evaluation of Volatile Chemical Product Emissions Using a Lagrangian Framework

In this study, we evaluate volatile chemical product (VCP; e.g., adhesives, personal care products) emissions in the McDonald et al. inventory using sector-specific tracers and the FLEXPART-WRF Lagrangian particle dispersion model. Observations of decamethylcyclopentasiloxane (D5-Siloxane) are used for optimizing emissions from personal care products, para-dichlorobenzene (PDCBZ) for insecticides, and parachlorobenzotrifluoride (PCBTF) for emissions from the construction (coatings + adhesives) subsector. Continuous ground-site measurements obtained in Las Vegas and Los Angeles (LA) during summer 2021 are used to optimize the temporal emission profiles of the area sources. Additionally, in situ aircraft-based observations (June 2021) over the LA region are used to evaluate emission factors for the basin. The configuration of the weather research and forecasting (WRF) model is optimized using vertical wind profile measurements obtained from the Pick-Up truck-based Mobile Atmospheric Sounder (PUMAS) deployed in the LA basin to minimize the uncertainty of the inversion due to meteorology. While the diurnal amplitude in emission rates from personal care products and insecticides is reduced after optimization, that of construction VCPs (coatings + adhesives) is enhanced. From the aircraft inversion, we find that the inventory underestimates the emissions originating from construction by a factor of 5.3 (95% confidence interval 4.3-6.3) in the LA basin. Emissions from consumer products (personal care + cleaning) and insecticides were reduced by a factor of 2.1 (1.7-2.5) and 5.2 (3.9-6.4), respectively, following optimization.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-04-03
DOI
https://doi.org/10.1021/acs.est.4c10117
Citations
3
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
3.90

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Top-Down Evaluation of Volatile Chemical Product Emissions Using a Lagrangian Framework

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article

Top-Down Evaluation of Volatile Chemical Product Emissions Using a Lagrangian Framework

Lu Xu, C. Warneke, Edward Strobach, W. M. Angevine, Chelsea E. Stockwell, Jessica B. Gilman, Alan Brewer, Caleb Arata, Matthew Mitchell Coggon, J. Brioude, Brian McDonald, Allen H. Goldstein, Brandi McCarty, Bert Verreyken, Eva Y. Pfannerstill, Sunil Baidar, Steven S. S Brown, Colin Harkins, Meng Li, Richard D. Marchbanks
article en
3 citations

Abstract

In this study, we evaluate volatile chemical product (VCP; e.g., adhesives, personal care products) emissions in the McDonald et al. inventory using sector-specific tracers and the FLEXPART-WRF Lagrangian particle dispersion model. Observations of decamethylcyclopentasiloxane (D5-Siloxane) are used for optimizing emissions from personal care products, para-dichlorobenzene (PDCBZ) for insecticides, and parachlorobenzotrifluoride (PCBTF) for emissions from the construction (coatings + adhesives) subsector. Continuous ground-site measurements obtained in Las Vegas and Los Angeles (LA) during summer 2021 are used to optimize the temporal emission profiles of the area sources. Additionally, in situ aircraft-based observations (June 2021) over the LA region are used to evaluate emission factors for the basin. The configuration of the weather research and forecasting (WRF) model is optimized using vertical wind profile measurements obtained from the Pick-Up truck-based Mobile Atmospheric Sounder (PUMAS) deployed in the LA basin to minimize the uncertainty of the inversion due to meteorology. While the diurnal amplitude in emission rates from personal care products and insecticides is reduced after optimization, that of construction VCPs (coatings + adhesives) is enhanced. From the aircraft inversion, we find that the inventory underestimates the emissions originating from construction by a factor of 5.3 (95% confidence interval 4.3-6.3) in the LA basin. Emissions from consumer products (personal care + cleaning) and insecticides were reduced by a factor of 2.1 (1.7-2.5) and 5.2 (3.9-6.4), respectively, following optimization.

Environmental Science & TechnologyVol. 59(14)
Centre National de la Recherche Scientifique (FR), National Oceanic and Atmospheric Administration (US), Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), University of Colorado System (US), University of California System (US), Max Planck Institute for Chemistry (DE), Météo-France (FR), Belgian Nuclear Research Centre (BE), Laboratoire de l'Atmosphère et des Cyclones (RE), NOAA Chemical Sciences Laboratory (US), University of California, Berkeley (US)
California Air Resources Board, Cooperative Institute for Research in Environmental Sciences
Climate action
Openalex Percentile: Top 8%
Atmospheric chemistry and aerosols
3.90
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