2019Journal article
Dynamic Assessment of PM2.5 Exposure and Health Risk Using Remote Sensing and Geo-Spatial Big Data
Environmental Pollution, 253, 288–296
Read publication ↗Research question
How does health-risk assessment change when both pollution and population vary through time?
Geographic scope
Beijing–Tianjin–Hebei · China
Evidence base
Satellite-ground PM2.5 and dynamic population information
Approach
High-resolution pollution estimates are combined with geospatial population dynamics to move beyond static residential exposure assumptions.
Why it matters
The framework connects environmental mapping, human activity and health-risk estimation in one dynamic exposure model.
Research connections