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Title: Census demographic data for the InMAP Source-Receptor Matrix (ISRM) dataset

Type Dataset Raheja, Garima, Goodkind, Andrew, Tessum, Christopher W., Coggins, Jay S., Hill, Jason D., Marshall, Julian D. (2020): Census demographic data for the InMAP Source-Receptor Matrix (ISRM) dataset. Zenodo. Dataset. https://zenodo.org/record/3884115

Authors: Raheja, Garima (University of Washington) ; Goodkind, Andrew (University of New Mexico) ; Tessum, Christopher W. (University of Illinois) ; Coggins, Jay S. (University of Minnesota) ; Hill, Jason D. (University of Minnesota) ; Marshall, Julian D. (University of Washington) ;

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Summary

The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM2.5 concentration (µg m-3) in any receptor grid cell per unit of emissions (µg sec-1) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (InMAP), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne-1), increased mortality (deaths tonne-1), and population exposure (population*µg m-3 tonne-1).

These files join US Census demographic information to the ISRM to facilitate future analyses. The original ISRM file can be found here: https://zenodo.org/record/3590127#.Xt0Z4GhKhPb

More information

  • DOI: 10.5281/zenodo.3884115

Subjects

  • air pollution, environmental economics, marginal damages, particulate matter

Dates

  • Publication date: 2020
  • Issued: June 07, 2020

Rights


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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.3884114
IsPartOfhttps://zenodo.org/communities/zenodo