Grant: Discovery Grants Program - Individual
University of Lethbridge
$9,948.00
Improving measurements, models and predictions of aeolian particle transport and landscape dynamics
FY 2013-14
Summary
Aeolian (wind) processes and landforms are ubiquitous on Earth and other terrestrial planets. The entrainment, transport and deposition of particles by wind impacts climate, soils, hydrology, hazards, ecology, and has allied impacts on human health, food security, water supply, desertification, and safety. In some settings aeolian transport is dominated by sedimentary particles, ranging from sand to dust, while in others snow prevails. Despite its role in these applied areas, reliable prediction of aeolian processes and landscape dynamics remains elusive. However, for Canadians, prediction is important to mitigate adverse effects caused by aeolian processes. More than 80 years ago we experienced first-hand that our limited understanding of aeolian processes can have dire consequences. Massive topsoil losses from wind erosion coupled with persistent drought transformed the Canadian prairies and much of the Great Plains into a Dust Bowl. Today, the impact of aeolian processes and landscape dynamics is still significant, including wind-eroded toxic dust from the oil sands, risk of desertification on the prairies, and winter hazards caused by snowdrifting. Our capacity to mitigate these impacts hinges on our ability to measure and predict the processes and landscape response. With this in mind, the objective of the research proposed herein is to improve how we measure, model and predict aeolian system dynamics and, in so doing, increase the contribution of aeolian research to global and societally-relevant issues. To accomplish this milestone NSERC DG funding will create a foundation for hypothesis testing and prediction by enabling a cohesive integration of field measurements, experiments and modeling. The research is divided into 3 themes: (i) prediction and measurement of aeolian particle transport, (ii) feedbacks among atmospheric boundary layer airflow, aeolian particle transport and landscape dynamics, and (iii) wind erosion of human-altered surfaces. By linking fundamental and applied research we will provide functional predictions of aeolian dynamics in support of decision making and management in Canada and abroad.
Program
Discovery Grants Program - Individual
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
355819-2013
Name nom
Hugenholtz, Chris
Department département
Geography
Organization id
12
Institution établissement
University of Lethbridge
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
9948
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1506
Committee name en
Geosciences
Committee name fr
Géosciences
Area of application code
1203
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Earth sciences
Area of application fr
Sciences de la terre
Research subject code
4015
Research subject group en
Earth science
Research subject group fr
Sciences de la terre
Research subject en
Geomorphology
Research subject fr
Géomorphologie
Partie
1
Nb partie
5
Application title
Improving measurements, models and predictions of aeolian particle transport and landscape dynamics
Keyword
NSERC
Application summary
Aeolian (wind) processes and landforms are ubiquitous on Earth and other terrestrial planets. The entrainment, transport and deposition of particles by wind impacts climate, soils, hydrology, hazards, ecology, and has allied impacts on human health, food security, water supply, desertification, and safety. In some settings aeolian transport is dominated by sedimentary particles, ranging from sand to dust, while in others snow prevails. Despite its role in these applied areas, reliable prediction of aeolian processes and landscape dynamics remains elusive. However, for Canadians, prediction is important to mitigate adverse effects caused by aeolian processes. More than 80 years ago we experienced first-hand that our limited understanding of aeolian processes can have dire consequences. Massive topsoil losses from wind erosion coupled with persistent drought transformed the Canadian prairies and much of the Great Plains into a Dust Bowl. Today, the impact of aeolian processes and landscape dynamics is still significant, including wind-eroded toxic dust from the oil sands, risk of desertification on the prairies, and winter hazards caused by snowdrifting. Our capacity to mitigate these impacts hinges on our ability to measure and predict the processes and landscape response. With this in mind, the objective of the research proposed herein is to improve how we measure, model and predict aeolian system dynamics and, in so doing, increase the contribution of aeolian research to global and societally-relevant issues. To accomplish this milestone NSERC DG funding will create a foundation for hypothesis testing and prediction by enabling a cohesive integration of field measurements, experiments and modeling. The research is divided into 3 themes: (i) prediction and measurement of aeolian particle transport, (ii) feedbacks among atmospheric boundary layer airflow, aeolian particle transport and landscape dynamics, and (iii) wind erosion of human-altered surfaces. By linking fundamental and applied research we will provide functional predictions of aeolian dynamics in support of decision making and management in Canada and abroad.