Data and visualizations of air quality impacts of conventional and alternative light-duty transportation in the United States
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Date completed
11/24/14
Date updated
Time period coverage
2005
Geographic coverage
United States
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Title
Data and visualizations of air quality impacts of conventional and alternative light-duty transportation in the United States
Published Date
2014-11-25
Group
Author Contact
Marshall, Julian D.
julian@umn.edu
julian@umn.edu
Type
Dataset
Video or Animation
Map
Spatial Data
Video or Animation
Map
Spatial Data
Abstract
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.
Description
The repository includes five main files:
DatasetS1.xls: A directory of Microsoft Excel files containing emissions amounts disaggregated by life cycle stage for each scenario.
DatasetS2.pdf: Maps of annual average ground level concentrations of PM2.5, O3, PM10, NOx, HCHO, NH3, particulate SO4, particulate NH4, particulate NO3, organic aerosol, elemental carbon aerosol, particle number, and CO; maps of annual average daily peak O3 concentrations; and maps of PM2.5 and O3 concentrations animated by month of year, day of week, and hour of day for the baseline simulation and each scenario. A pdf viewer that allows embedded javascript, such as Adobe Acrobat, is required to view the animations.
VideoS1.mp4: A video showing temporal variation in PM2.5 concentrations attributable to each scenario.
VideoS2.mp4: A video showing temporal variation in O3 concentrations attributable to each scenario.
PublicationFigures.pdf: A PDF containing Figures 2 and 3, along with accompanying data, from the related publication (dx.doi.org/10.1073/pnas.1406853111).
Referenced by
Christopher W. Tessum, Jason D. Hill, and Julian D. Marshall. (2014). "Life cycle air quality impacts of conventional and alternative light-duty transportation in the United States", Proc. Natl. Acad. Sci.
http://dx.doi.org/10.1073/pnas.1406853111
http://dx.doi.org/10.1073/pnas.1406853111
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Funding information
University of Minnesota Institute on the Environment Initiative for Renewable Energy and the Environment (Grants No. Rl-0026-09 and RO-0002-11).
U.S. Department of Energy (Award No. DE-EE0004397).
Computational resources provided by the Minnesota Supercomputing Institute and the Department of Energy National Center for Computational Sciences.
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Suggested citation
Tessum, Christopher W; Hill, Jason D; Marshall, Julian D. (2014). Data and visualizations of air quality impacts of conventional and alternative light-duty transportation in the United States. Retrieved from the Data Repository for the University of Minnesota (DRUM), http://dx.doi.org/10.13020/D6159V.
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DatasetS1.xls
Spreadsheet of raw emission data
(2.09 MB)
DatasetS2.pdf
Maps of emissions' ground-level concentrations
(67.09 MB)
VideoS1.mp4
Video showing temporal variation of PM2.5 concentrations
(259.61 MB)
VideoS2.mp4
Video showing temporal variation of O3 concentrations
(265.09 MB)
PublicationFigures.pdf
Two figures from related publication
(48.97 KB)
DatasetS1_CSV.zip
CSV version of DatasetS1.xls
(164.98 KB)
README.txt
Description of data
(5.05 KB)
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