VOC source apportionment: How monitoring characteristics influence positive matrix factorization (PMF) solutions

Frischmon, Caroline; Hannigan, Michael

doi:10.1016/j.aeaoa.2023.100230

Cited by 4 publications

(1 citation statement)

References 52 publications

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“…These factors can then be linked to emissions and chemical processes occurring in the atmosphere. The use of receptor models has been extensively applied to particle measurements, − whereas the use of PMF of online mass spectrometric measurements for identification of VOC pollutant sources has been significantly less utilized with just a few reports in the literature, sometimes using low-mass-resolution mass spectral measurements. ,,− …”

Section: Introductionmentioning

confidence: 99%

Sources of Wintertime Atmospheric Organic Pollutants in a Large Canadian City: Insights from Particle and Gas Phase Measurements

Rivellini,

Jorga,

Wang

et al. 2024

ACS EST Air

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Although atmospheric organic pollutants have been extensively studied to elucidate summertime urban photochemical air pollution, uncertainties remain concerning the quality of wintertime air in large northern North American cities. Here, we used online mass spectrometric measurements of volatile organic compounds (VOCs) and organic aerosol (OA), combined with positive matrix factorization (PMF), to identify sources of organic pollutants in downtown Toronto, Canada during February−March 2023. In some cases, comparable PMF factors were identified for both VOCs and OA, such as from traffic, cooking, and background oxygenated sources. However, VOC PMF yielded additional information, such as a factor associated with human-related emissions of VOCs. Additionally, VOC PMF yields two traffic factors: one likely related to gasoline and one to diesel use. Despite cold and relatively dark conditions, the OA and VOC oxygenated factors both grow in intensity during the daytime, indicative of photochemical activity, whereas the traffic and cooking factors were enhanced in the morning and late evening due to the timing of vehicle use, cooking, and boundary layer effects. This study illustrates the benefits that arise from the parallel source−receptor analyses of organic gases and aerosol particles.

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Section: Introductionmentioning

confidence: 99%

Sources of Wintertime Atmospheric Organic Pollutants in a Large Canadian City: Insights from Particle and Gas Phase Measurements

Rivellini,

Jorga,

Wang

et al. 2024

ACS EST Air

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Application of time series and multivariate statistical models for water quality assessment and pollution source apportionment in an Urban River, New Jersey, USA

Soetan,

Nie,

Polius

et al. 2024

Environ Sci Pollut Res

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Water quality monitoring reveals changing trends in the environmental condition of aquatic systems, elucidates the prevailing factors impacting a water body, and facilitates science-backed policymaking. A 2020 hiatus in water quality data tracking in the Lower Passaic River (LPR), New Jersey, has created a 5-year information gap. To gain insight into the LPR water quality status during this lag period and ahead, water quality indices computed with 16-year historical data available for 12 physical, chemical, nutrient, and microbiological parameters were used to predict water quality between 2020 and 2025 using seasonal autoregressive moving average (ARIMA) models. Average water quality ranged from good to very poor (34 ≤ µWQI ≤ 95), with noticeable spatial and seasonal variations detected in the historical and predicted data. Pollution source tracking with the positive matrix factorization (PMF) model yielded significant R2 values (0.9 < R2 ≤ 1) for the input parameters and revealed four major LPR pollution factors, i.e., combined sewer systems, surface runoff, tide-influenced sediment resuspension, and industrial wastewater with pollution contribution rates of 23–30.2% in the upstream and downstream study areas. Significant correlation of toxic metals, nutrients, and sewage indicators suggest similarities in their sources. Graphical Abstract

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Investigating the spatiotemporal distribution of fine particulate matter sources during persistent cold air pools in Salt Lake County

Silberstein,

Mendoza,

Rieves

et al. 2024

Atmospheric Environment: X

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VOC source apportionment: How monitoring characteristics influence positive matrix factorization (PMF) solutions

Cited by 4 publications

References 52 publications

Sources of Wintertime Atmospheric Organic Pollutants in a Large Canadian City: Insights from Particle and Gas Phase Measurements

Sources of Wintertime Atmospheric Organic Pollutants in a Large Canadian City: Insights from Particle and Gas Phase Measurements

Application of time series and multivariate statistical models for water quality assessment and pollution source apportionment in an Urban River, New Jersey, USA

Investigating the spatiotemporal distribution of fine particulate matter sources during persistent cold air pools in Salt Lake County

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