Data and visualizations of air quality impacts of conventional and alternative light-duty transportation in the United States

Statistics
View Statistics

Collection period

Date completed

11/24/14

Date updated

Time period coverage

2005

Geographic coverage

United States

Source information

Journal Title

Journal ISSN

Volume Title

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

Type

Dataset
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

Related to

Replaces

item.page.isreplacedby

Publisher

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.

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

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.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.