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Spatial Assessment of Air Quality During Wildfire Year
Abstract:
Wildfires have become increasingly frequent and intense which significantly impact the air quality and public health. This study aims for a spatial analysis of air pollution during wildfire event year, focusing on the dispersion and concentration of key pollutant as particulate matter (PM2.5). For the study, data from the year prior and the year after 2020 is collected and analyzed. The study area is chosen as California for its vulnerability during wildfire season. The spatial and temporal distribution of air pollutant is analyzed across different geographic regions of California. The study also emphasizes the spatial relationship between PM2.5 and effect on human health.
The air monitoring data from ground-based stations is integrated to provide a comprehensive view of pollutant spread (PM2.5). Moreover, the remote sensing images of the smoke plumes are used to extract the wildfire associated PM2.5, for further validation with ground data. The spatial regression analysis is performed to assess the spatial autocorrelation of the data. In addition to this, the presence of spatial variation is studied between the PM2.5 and the human health effect, using the emergency hospital data, during the specific wildfire year.
The result will provide a critical insight into the spatio-temporal distribution of the air pollutant. Along with the effect of the health risks posed by wildfire-driven air pollution.
Keywords: Wildfire, Air pollution, Spatio-temporal
Authors:
Pramila Paudyal, The University of Toledo; Submitting Author / Primary Presenter
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Spatial Assessment of Air Quality During Wildfire Year
Category
Paper Abstract
Description
This abstract is part of the session: Disasters & Risk