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Evaluation of the BlueSky smoke forecasting system and its utility for public health protection in British Columbia

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dc.contributor.author Yao, Jiayun
dc.date.accessioned 2012-11-30T18:14:18Z
dc.date.available 2012-11-30T18:14:18Z
dc.date.copyright 2012 en_US
dc.date.issued 2012-11-30
dc.identifier.uri http://hdl.handle.net/2429/43629
dc.description.abstract Wildfire smoke is a major contributor to extreme particulate matter (PM) air pollution events and has been associated with respiratory and cardiovascular health effects. With climate change, more frequent and intense wildfires are expected in the future and their impact on public health will likely increase. The existing exposure assessment tools such as the monitoring network and remote sensing platforms have limitations for measuring wildfire smoke, including inadequate coverage and measuring total column instead of ground-level concentrations. From the public health perspective, a system that can supplement these tools and predict smoke concentrations will be valuable. The Western Canada BlueSky Smoke Forecasting System, which can predict PM₂.₅ (PM <2.5μm in diameter) from wildfires up to 60 hours in advance, has been developed since 2008. So far, there has not been any systematic and quantitative evaluation of its performance. The first objective of this study was to evaluate the performance of BlueSky. We compared its forecasting output with monitoring measurements and remote sensing images with several different model evaluation statistics of temporal and spatial agreement. The second objective was to assess the association between BlueSky predictions and respiratory health indicators. Poisson regression was employed between BlueSky predictions and the health outcome indicators, including counts of prescriptions dispensed to relieve respiratory health symptoms and counts of physician visits for asthma. Results suggested that BlueSky predicted smaller smoke plumes within the plumes observed by remote sensing. It predicted PM₂.₅ concentrations comparable to monitor measurements in the middle of the fire period and in areas consistently impacted by wildfire smoke. More frequent and larger-scale overpredictions were observed. A 30μg/m³ increase in BlueSky 24-hour PM₂.₅ predictions was associated with 1% increase in medication dispensations and physician visits for asthma. The relative risks were smaller than those associated with monitoring measurements. Smoke plume coverage predicted by BlueSky was associated with relative risks comparable with those observed by remote sensing. In conclusion, BlueSky predictions were comparable with measurements from other smoke assessment tools and they were significantly associated with respiratory health outcomes. This study provides evidence to support the use of BlueSky in public health protection. en_US
dc.language.iso eng en_US
dc.publisher University of British Columbia en
dc.title Evaluation of the BlueSky smoke forecasting system and its utility for public health protection in British Columbia en_US
dc.type Electronic Thesis or Dissertation en
dc.degree.name Master of Science - MSc en_US
dc.degree.discipline Occupational and Environmental Hygiene en_US
dc.degree.grantor University of British Columbia en
dc.date.graduation 2013-05 en_US
dc.degree.campus UBCV en_US
dc.description.scholarlevel Graduate en

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