Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Browsing by Author "Marshall, Julian D"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Data and visualizations of air quality impacts of conventional and alternative light-duty transportation in the United States
    (2014-11-25) Tessum, Christopher W; Hill, Jason D; Marshall, Julian D; julian@umn.edu; Marshall, Julian D.
    This is the supporting information for an article entitled "Life cycle air quality impacts of conventional and alternative light-duty transportation in the United States", published in the Proceedings of the National Academy of Sciences of the United States (dx.doi.org/10.1073/pnas.1406853111). The study assesses the life cycle air quality impacts on human health of 10 alternatives to conventional gasoline vehicles, including vehicles powered by diesel, natural gas, ethanol, and electricity. This supporting information is comprised of 1) A Microsoft Excel file containing emissions amounts disaggregated by life cycle stage for each scenario; 2) maps of ground-level concentrations of 13 different air pollutants attributable to each scenario; and 3) videos showing temporal variation in ground-level fine particulate matter (PM2.5) and ozone (O3) concentrations attributable to each scenario. The data here were generated using state-of-the-science air pollutant emission and transport models.
  • Thumbnail Image
    Item
    Population exposure to ultrafine particles: size-resolved and real-time models for highways
    (2016-09-14) Zhu, Shanjiang; Marshall, Julian D; Levinson, David M
    Prior research on ultrafine particles (UFP) emphasizes that concentrations are especially high on-highway, and that time on highways contribute disproportionately to total daily exposures. This study estimates individual and population exposure to ultra-fine particles in the Minneapolis – St. Paul (Twin Cities) metropolitan area, Minnesota. Our approach combines a real-time model of on-highway size-resolved UFP concentrations (32 bins, 5.5 to 600 nm); individual travel patterns, derived from GPS travel trajectories collected in 144 individual vehicles (123 hours at locations with UFP estimates among 624 vehicle-hours of travel); and, loop-detector data, indicating real- time traffic conditions throughout the study area. The results provide size-resolved spatial and temporal patterns of exposure to UFP among freeway users. On-highway exposures demonstrate significant variability among users, with highest concentrations during commuting peaks and near highway interchanges. Findings from this paper could inform future epidemiological studies in on- road exposure to UFP by linking personal exposures to traffic conditions.