The Context
Air pollution is a major global health risk throughout densely populated urban centers, especially in disadvantaged socioeconomic communities. Existing air pollution sensor locations are limited and sparsely located in urban areas. More information on specific air pollutants and their health implications is available here: Criteria Air Pollutants
The Problem
Hyperlocal data is critically needed to make sound policy decisions and recommendations for air pollution control, environmental justice, and urban infrastructure improvement at the city level.
The Solution
The Intelligent Solutions to Urban Pollution for Equity and Resilience (iSUPER) Impact Engine will pair low-cost, adaptable sensing technologies with novel pollution prediction models to accurately identify hyperlocal pollution hot spots in real time. This innovative use of these technologies will generate neighborhood-level data that will help guide decisionmakers towards effective governance and policymaking. The pilot program will measure data in two Boston neighborhoods representing communities with different histories, land use patterns, population densities, and pollution impact characteristics.
This work is supported by the Northeastern University Impact Engines program.
iSUPER Impact EngineLayer | Source | Data |
---|---|---|
National Emissions Inventory | NEI | Emissions (Tons) |
Nitrogen Dioxide Emissions | NEI | Emissions (Tons) |
Transport | iSUPER Team | AB_AM_CONG |
CDC/ATSDR Social Vulnerability Index | CDC | Overall Percentile Ranking |