Air quality disparities mapper: An open-source web application for environmental justice

Ethan McFarlin, Falco J. Bargagli-Stoffi, Edgar Castro, Joel Schwartz, Francesca Dominici, Heresh Amini

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Exposure to fine particulate matter (PM2.5) is linked to increased health risks and disproportionately affects minority and low-income communities. Current research lacks assessment of exposure disparities to PM2.5 components and effective communication of these disparities. We developed an interactive, web-based air pollution mapper, combining high-resolution predictions of PM2.5 components for 2010 across the contiguous United States with U.S. Census demographic data. The interface, hosted at, allows users to visualize the relationship between variables, highlighting the racial, socioeconomic, and geographic disparities in exposure. By mapping individual PM2.5 components, it provides insights into specific sources driving PM2.5 concentrations, aiding in designing targeted reduction programs. This tool makes air quality data more accessible and informs policy outcomes.

Original languageEnglish
Article number105881
JournalEnvironmental Modelling and Software
StatePublished - Jan 2024


  • Air pollution
  • Data visualization
  • Demographic disparities
  • Environmental justice
  • Open source


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