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Grant: Alliance Grants

Queen's University

$465,417.00

Black Kite - a UAV, sensor-based wildfire smoke monitoring system: System assessment and application to Indigenous Fire Stewardship and wildfire smoke science

FY 2024-25

Summary
In 2023, record wildfires in Canada during record surface temperatures and excessively dry conditions, generating by far the largest annual burned area (18 million Ha) in our recorded history. Recently increasing annual burned area and wildfire intensity in Canada and around the world are linked to (i) landscape wide fuel build-up resulting from a history of wildfire suppression that removes smaller, regular, restorative fire from fire adapted ecosystems, and (ii) climate change that is producing more frequent extreme fire weather. In addition, wildfires in Canada have a disproportionate impact on Indigenous Peoples, who, since European colonization, have largely been excluded from practicing cultural burning (the use of fire to steward lands for culturally and ecologically beneficial purposes) and participating collectively in wildfire management. While we know wildfire smoke poses serious health risks, we know little of how smoke toxicity varies with changing smoke composition. This results largely from the lack of available near-source wildfires emissions data driven by high cost and limited mobility of the state-of-the-art air-quality monitoring instruments. This project aims to thoroughly test, refine, and then apply a preliminarily tested UAV-sensor-based wildfire emissions monitoring system, we have named Black Kite. This will occur through four distinct research themes: (1) Calibration and accuracy, precision and uncertainty assessment of the system's light-weight air quality sensors; (2) the application of Black Kite in support of Indigenous Fire Stewardship (IFS) (demonstrating emissions reduction from cultural fire vs wildfire); (3) the application of Black Kite in the assessment of the factors driving the variability in smoke released from wildfires; and (4) refinement of Black Kite uncertainty using post-processing (i.e., machine-learning) data analyses. Successful development and application of Black Kite has the potential to make significant contributions to wildfire smoke science, IFS, and even contribute to current provincial wildfire management strategies. We are confident this system will produce distinct socioeconomic and environmental benefits for Canada.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
592367-2023
Name nom
McLagan, David DS
Department département
Environmental Studies, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
465417
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4400
Research subject group en
Atmospheric science
Research subject group fr
Étude de l'atmosphère
Research subject en
Atmospheric science
Research subject fr
Étude de l'atmosphère
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
Black Kite - a UAV, sensor-based wildfire smoke monitoring system: System assessment and application to Indigenous Fire Stewardship and wildfire smoke science
Keywords
air quality sensors; fire ecology; human health; indigenous fire stewardship; machine learning; smoke & air quality; unpiloted aerial vehicles (uavs); wildfires
Application summary
In 2023, record wildfires in Canada during record surface temperatures and excessively dry conditions, generating by far the largest annual burned area (18 million Ha) in our recorded history. Recently increasing annual burned area and wildfire intensity in Canada and around the world are linked to (i) landscape wide fuel build-up resulting from a history of wildfire suppression that removes smaller, regular, restorative fire from fire adapted ecosystems, and (ii) climate change that is producing more frequent extreme fire weather. In addition, wildfires in Canada have a disproportionate impact on Indigenous Peoples, who, since European colonization, have largely been excluded from practicing cultural burning (the use of fire to steward lands for culturally and ecologically beneficial purposes) and participating collectively in wildfire management. While we know wildfire smoke poses serious health risks, we know little of how smoke toxicity varies with changing smoke composition. This results largely from the lack of available near-source wildfires emissions data driven by high cost and limited mobility of the state-of-the-art air-quality monitoring instruments. This project aims to thoroughly test, refine, and then apply a preliminarily tested UAV-sensor-based wildfire emissions monitoring system, we have named Black Kite. This will occur through four distinct research themes: (1) Calibration and accuracy, precision and uncertainty assessment of the system's light-weight air quality sensors; (2) the application of Black Kite in support of Indigenous Fire Stewardship (IFS) (demonstrating emissions reduction from cultural fire vs wildfire); (3) the application of Black Kite in the assessment of the factors driving the variability in smoke released from wildfires; and (4) refinement of Black Kite uncertainty using post-processing (i.e., machine-learning) data analyses. Successful development and application of Black Kite has the potential to make significant contributions to wildfire smoke science, IFS, and even contribute to current provincial wildfire management strategies. We are confident this system will produce distinct socioeconomic and environmental benefits for Canada.
Queen's University - $465,417 Grant (2024-25) | Canada Spends