ArticleAtmospheric environment (Oxford, England : 1994)2019
An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps.
Article in Atmospheric environment (Oxford, England : 1994), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- A Comprehensive NMVOC Speciation Database for European Atmospheric Modelling.Scientific data · 2026Article
- Criteria, Greenhouse Gas, and Hazardous Air Pollutant Emissions Factors from Residential Cordwood and Pellet Stoves Using an Integrated Duty Cycle Test Protocol.ACS ES&T air · 2024Article
- Towards responsible resource utilization: A review of sustainable vs. unsustainable reuse of wood waste.PloS one · 2024Article
- 2002-2017 anthropogenic emissions data for air quality modeling over the United States.Data in brief · 2023Article
- A new NMVOC speciated inventory for a reactivity-based approach to support ozone control strategies in Spain.The Science of the total environment · 2023Article
- Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PMInternational journal of environmental research and public health · 2020Article
- Reflecting on progress since the 2005 NARSTO emissions inventory report.Journal of the Air & Waste Management Association (1995) · 2019Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The United States (US) Environmental Protection Agency (EPA)'s SPECIATE database contains speciated particulate matter (PM) and volatile organic compound (VOC) emissions profiles. Emissions profiles from anthropogenic combustion, industry, wildfires, and agricultural sources among others are key inputs for creating chemically-resolved emissions inventories for air quality modeling. While the database and its use for air quality modeling are routinely updated and evaluated, this work sets out to systematically prioritize future improvements and communicate speciation data needs to the research community. We first identify the most prominent profiles (PM and VOC) used in the EPA's 2014 emissions modeling platform based on PM mass and VOC mass and reactivity. It is important to note that the on-road profiles were excluded from this analysis since speciation for these profiles is computed internally in the MOVES model. We then investigate these profiles further for quality and to determine whether they were being appropriately matched to source types while also considering regional variability of speciated pollutants. We then applied a quantitative needs assessment ranking system which rates the profile based on age, appropriateness (i.e. is the profile being used appropriately), prevalence in the EPA modeling platform and the quality of the reference. Our analysis shows that the highest ranked profiles (e.g. profile assignments with the highest priority for updates) include PM
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