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United States Environmental Protection Agency
Using GIS Tools to Analyze, Compute, and Predict Pollution, Session III - Community Engagement
Sponsored by: NIEHS Superfund Research Program
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Presentation Overview:

In the first presentation, Andy Larkin will discuss how he is integrating fine particulate matter, coarse particulate matter, and ozone air pollutant data into models for the state of Oregon that use Androids and iPhones to make personal and easy to understand air quality predictions. The predicted pollutant concentrations at smartphone locations are displayed on phones as interactive Google maps and graphs, and users are warned if predicted concentrations within 10km exceed custom set warning levels. The predicted pollutant levels at all participant locations are anonymously collected and used to create 3D exposure projection maps for the entire sampling population.

In the second presentation, Lex van Geen, Ph.D., will illustrate how field kits could play a much greater role in reducing community exposure to contaminated water or soil. The health risk of human exposure to certain contaminants is often spatially highly variable. This is the case for groundwater that is naturally contaminated with arsenic in many shallow aquifers across South and Southeast Asia, and for soil contaminated with lead from mine tailings. Highly localized knowledge of contaminants from field kits can drastically reduce exposure at a relatively low cost, where laboratory analyses of contaminated water or soil and sensitive field instrumentation are not available.

Presenters: Instructors:
  • Andy Larkin, Ph.D. candidate, Oregon State University (
    • Presentation title: Making models personal: increasing the impact of atmospheric pollutant models by predicting pollutant levels at Android and iPhone locations
  • Lex van Geen, Ph.D., Columbia University (
    • Presentation title: The unrealized potential of field kits to reduce toxic exposures: Case-studies from Bangladesh (arsenic in groundwater) and Peru (lead in mine tailings)
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