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Grant: Discovery Grants Program - Individual

Mount Royal University

$43,000.00

Characterization of smoke from wildfires for source apportionment and human health risk assessment in urban environments

EF 2024-25

Résumé
Every year wildfires contribute several hundred million metric tons of reactive organic compounds into the atmosphere. Wildfires have been increasing in both frequency and severity, a trend which can be attributed to extreme weather conditions, forest management practices, climate change, and a rise in human population density near fire-prone areas. Wildfires are becoming more frequent and severe, leading to significant air quality issues and health risks. Smoke from wildfires can travel long distances and adversely affect both human health and the environment, resulting in increased healthcare costs, economic burdens, and environmental consequences. The long-term vision of my research program is to significantly reduce the adverse impacts of wildfires on both the economy and public health by advancing our capabilities in monitoring, modeling, and mitigating the effects of wildfire smoke. Over the next ten years, I seek to lead in the development and validation of innovative sampling and analytical methodologies, enhancing our understanding of wildfire smoke composition and its environmental influences, while informing the development of improved models for air quality monitoring networks, atmospheric chemistry, and toxicology studies. The objectives of the proposed research program are to 1) develop and validate new sampling and analysis approaches, 2) understand the relationships between source materials, environmental factors, and fire phases, and 3) evaluate the use of low-cost sensors and unmanned aerial vehicles for smoke analysis. The comprehensive approach outlined in this research program has the potential to revolutionize our ability to monitor, model, and mitigate the impact of wildfires on air quality and human health while improving the accuracy and resolution of current air quality monitoring systems. It showcases a path towards better management of the effects of wildfires, and aims to provide solutions by advancing our understanding of wildfire smoke composition, its source materials, environmental influences, and aging effects. Furthermore, the research innovatively integrates unmanned aerial vehicles to enhance the spatial and temporal resolution of smoke sampling.
Programme
Discovery Grants Program - Individual
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2024-04183
Name nom
O'Sullivan, Gwen
Department département
Earth & Environmental Sciences
Organization id
3400
Institution établissement
Mount Royal University
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
43000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1504
Committee name en
Chemistry
Committee name fr
Chimie
Area of application code
401
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Climate and atmosphere
Area of application fr
Climat et atmosphère
Research subject code
4405
Research subject group en
Atmospheric science
Research subject group fr
Étude de l'atmosphère
Research subject en
Atmospheric chemistry (including air pollution)
Research subject fr
Chimie atmosphérique (y compris pollution atmosphérique)
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Characterization of smoke from wildfires for source apportionment and human health risk assessment in urban environments
Keywords
wildfire; smoke; organic aerosols; particulate matter; controlled laboratory burns; multidimensional chromatography; unmanned aerial vechiles; low cost sensor; thermal desorption; sorbent tubes & filters
Application summary
Every year wildfires contribute several hundred million metric tons of reactive organic compounds into the atmosphere. Wildfires have been increasing in both frequency and severity, a trend which can be attributed to extreme weather conditions, forest management practices, climate change, and a rise in human population density near fire-prone areas. Wildfires are becoming more frequent and severe, leading to significant air quality issues and health risks. Smoke from wildfires can travel long distances and adversely affect both human health and the environment, resulting in increased healthcare costs, economic burdens, and environmental consequences. The long-term vision of my research program is to significantly reduce the adverse impacts of wildfires on both the economy and public health by advancing our capabilities in monitoring, modeling, and mitigating the effects of wildfire smoke. Over the next ten years, I seek to lead in the development and validation of innovative sampling and analytical methodologies, enhancing our understanding of wildfire smoke composition and its environmental influences, while informing the development of improved models for air quality monitoring networks, atmospheric chemistry, and toxicology studies. The objectives of the proposed research program are to 1) develop and validate new sampling and analysis approaches, 2) understand the relationships between source materials, environmental factors, and fire phases, and 3) evaluate the use of low-cost sensors and unmanned aerial vehicles for smoke analysis. The comprehensive approach outlined in this research program has the potential to revolutionize our ability to monitor, model, and mitigate the impact of wildfires on air quality and human health while improving the accuracy and resolution of current air quality monitoring systems. It showcases a path towards better management of the effects of wildfires, and aims to provide solutions by advancing our understanding of wildfire smoke composition, its source materials, environmental influences, and aging effects. Furthermore, the research innovatively integrates unmanned aerial vehicles to enhance the spatial and temporal resolution of smoke sampling.