Research Data Leeds Repository

Supplementary Data - Air Pollution from Forest and Vegetation Fires in Southeast Asia Disproportionately Impacts the Poor

Reddington, Carly L. and Conibear, Luke (2021) Supplementary Data - Air Pollution from Forest and Vegetation Fires in Southeast Asia Disproportionately Impacts the Poor. University of Leeds. [Dataset] https://doi.org/10.5518/968

Dataset description

Estimates of the impacts of air pollution from vegetation and forest fires on public health in Southeast Asia. The data file contains disease burden estimates (number of premature deaths and disability–adjusted life years) from long-term exposure to ambient fine particulate matter (PM2.5) concentrations and ambient ozone (O3) concentrations simulated by the WRF-Chem air quality model for each country in Southeast Asia. Results are shown for three model simulations (one simulation with all pollution sources included (control), one simulation with fire emissions excluded, and one simulation with all pollution sources and particulate fire emissions scaled upwards by a factor 1.5). Also contained in the data file are simulated annual-mean, population-weighted, ambient PM2.5 concentrations and annual-mean, population-weighted, daily maximum 8-hour O3 concentrations for each country.

Keywords:	Air pollution, heath impact assessment, premature mortality, particulate matter, ozone, China
Subjects:	F000 - Physical sciences > F100 - Chemistry > F140 - Environmental chemistry F000 - Physical sciences > F300 - Physics > F330 - Environmental physics > F331 - Atmospheric physics F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F753 - Pollution control
Divisions:	Faculty of Environment > School of Earth and Environment > Institute for Climate and Atmospheric Science
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	10 Jun 2021 15:50
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/844
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Reddington, Carly L. https://orcid.org/0000-0002-5990-4966 University of Leeds https://ror.org/024mrxd33 ROR Conibear, Luke https://orcid.org/0000-0003-2801-8862 University of Leeds https://ror.org/024mrxd33 ROR Type of data: Dataset Research funders: NERC Grant numbers: NE/S006680/1 Publication date: 2021 Resource language: English Metadata language: English Publisher: University of Leeds Contact Email Address: c.l.s.reddington@leeds.ac.uk Last Modified: 10 Jun 2021 22:35

Files

Data

Health Impact Assessment [27kB] Health Impact Assessment [27kB] Health Impact Assessment [27kB] Visible to: Anyone File name: Health_impact_assessment_Reddington_Conibear.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 27kB