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Grant: Strategic Projects - Group

University of Guelph

$221,510.00

Improved characterization of permafrost vulnerability to support decision makers, infrastructure, and community stewardship in the Northwest Territories******

EF 2018-19

Résumé
Permafrost is showing widespread signs of degradation that is expected to continue with climate warming. Permafrost distributions are critical to roads, buildings, pipelines, and waste containment in Canada's north, and thermokarst (terrain subsidence following thaw of ice-rich permafrost) threatens infrastructure, land stability, and community safety. We will develop improved models to predict ground ice content, using machine learning focused on spatial patterns as well as time-dependent simulation of vertical ground-ice profiles. We will use ground ice information from these two approaches to assess permafrost vulnerability to thermokarst at regional scales; regional maps will be corroborated with fine scale data collected as part of the proposed field program. This approach will allow us to refine and validate a regional predictive tool that can be used for planning additional infrastructure in the region or projecting maintenance schedules. These research activities will be focused in several regions of strategic importance for economic diversification in northwestern Canada: the 1) the Sahtú (oil and gas development), 2) the North Slave Lake (transportation, biofuels), 3) South Slave Lake (forestry, agriculture) regions. We will work with local communities in each focal region to incorporate Traditional Knowledge and to ensure that our tools are used to provide the most important information about the future of culturally important areas. Together, this research will aid the Geological Survey of Canada and the Northwest Territories Geological Survey by developing new decision-aids for predicting and detecting areas with a high potential for thermokarst. By enhancing knowledge of permafrost sensitivity in our three focal regions, we will provide government agencies and corporations critically needed baseline information required to support responsible decision-making for transportation, oil and gas development, and future industries including increased agricultural and forestry productivity. Our results will be brought to wider public attention via public talks, press releases, and through plain language newsletters distributed to communities.*
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
521584-2018
Name nom
Turetsky, Merritt
Department département
Integrative Biology
Organization id
24
Institution établissement
University of Guelph
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
221510
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1590
Committee name en
Strategic Projects - Natural Resources and Energy
Committee name fr
Projets stratégiques - Ressources naturelles et énergie
Area of application code
409
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environmental impact of economic activities (including agriculture)
Area of application fr
Effet des activités économiques sur l'environnement (y compris agriculture)
Research subject code
4800
Research subject group en
Soil science
Research subject group fr
Science du sol
Research subject en
Soil science
Research subject fr
Science du sol
Partie
1
Nb partie
1
Application title
Improved characterization of permafrost vulnerability to support decision makers, infrastructure, and community stewardship in the Northwest Territories******
Keyword
NSERC
Application summary
Permafrost is showing widespread signs of degradation that is expected to continue with climate warming. Permafrost distributions are critical to roads, buildings, pipelines, and waste containment in Canada's north, and thermokarst (terrain subsidence following thaw of ice-rich permafrost) threatens infrastructure, land stability, and community safety. We will develop improved models to predict ground ice content, using machine learning focused on spatial patterns as well as time-dependent simulation of vertical ground-ice profiles. We will use ground ice information from these two approaches to assess permafrost vulnerability to thermokarst at regional scales; regional maps will be corroborated with fine scale data collected as part of the proposed field program. This approach will allow us to refine and validate a regional predictive tool that can be used for planning additional infrastructure in the region or projecting maintenance schedules. These research activities will be focused in several regions of strategic importance for economic diversification in northwestern Canada: the 1) the Sahtú (oil and gas development), 2) the North Slave Lake (transportation, biofuels), 3) South Slave Lake (forestry, agriculture) regions. We will work with local communities in each focal region to incorporate Traditional Knowledge and to ensure that our tools are used to provide the most important information about the future of culturally important areas. Together, this research will aid the Geological Survey of Canada and the Northwest Territories Geological Survey by developing new decision-aids for predicting and detecting areas with a high potential for thermokarst. By enhancing knowledge of permafrost sensitivity in our three focal regions, we will provide government agencies and corporations critically needed baseline information required to support responsible decision-making for transportation, oil and gas development, and future industries including increased agricultural and forestry productivity. Our results will be brought to wider public attention via public talks, press releases, and through plain language newsletters distributed to communities.*