We’ve developed an R Shiny app to view ambient NO2 concentration data at the census tract level, industrial and energy NOx emissions sources, and warehouses on an interactive online map. The ambient 2019 NO2 data are from satellite retrievals that were regridded to census tracts. The NO2 concentrations and warehouse data were provided by the Air, Climate, and Health Lab at George Washington University; the NOx emissions are from the U.S. EPA’s 2022v1 Emissions Modeling Platform.
View the R Shiny App
Usage Notes
It takes the data a couple of minutes to render on the map, so please be patient. After the data are loaded you can zoom and pan the map, toggle the data sources on/off via check boxes, and if you click on any of the green point source locations or blue warehouse locations you’ll get data about the nature and size of the feature. The point and warehouse icons are scaled based on the size of the source: NOx emissions (tons/year) for the point sources and the number of loading docks for the warehouses.
Data Sources:
2019 NO2 Concentrations: Estimated annual average surface-level NO2 concentrations in 2019 derived from a global 1 km x 1 km land-use regression model detailed in Anenberg, Mohegh et al. (2022) and averaged to underlying census tracts following the methods described in Kerr et al. (2021)
2022 Point Source NOx Emissions: U.S. EPA 2022v1 emissions modeling platform. The data were extracted from the 2022v1 emissions review tool that is accessible from the platform webpage.
Warehouse Locations: Locations of warehouses that are larger than 20,000 sq ft. from CoStar.
