Land Use Regression of Particulate Matter in Calgary

What:
Poster
When:
Thursday Sep 29   03:30 PM to 05:30 PM (2 hours)
Tags:
Land Use RegressionParticulate Matterair pollutionspatial analysisGISCalgaryCanada
Discussion:
0
Two-week integrated samples of particulate matter (PM1.0, PM2.5, PM10) were collected in summer and winter in Calgary, Canada. PM concentrations were higher in summer for all size fractions. In both seasons, spatial variation and clustering were moderate. Land use regression (LUR) models were estimated for each PM size fraction and season, yielding R2 > 0.75 for PM2.5 and PM10 in summer, and R2 > 0.45 for PM1.0 in summer and for all winter models. Summer models yielded consistent predictors across size fractions, representing industrial emissions, local traffic, and major arterial traffic. Winter predictors included industrial emissions, major arterial traffic, and distance from open, snow-covered parks. The models suggest industrial pollution covered large areas in both seasons, and was affected by prevailing winds in summer, whereas traffic-related pollution decayed rapidly as distance from roads increased.
Participant
University of Calgary
Participant
Participant

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