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Grant: Discovery Grants Program - Individual

Queen's University

$59,000.00

Predicting Coastal Environmental Conditions in a Changing Climate

FY 2024-25

Summary
Climate change is having catastrophic impacts on coastal areas around the world, and the effects of climate change are also expected to worsen as changing weather patterns drive stronger storms. These atmospheric events can generate extreme waves and storm surges, and drive cascading hazards such as coastal flooding and triggering of landslides into water. The recent disasters in September 2022 such as Hurricane Ian in western Florida, USA, which cost over $112 billion, and Hurricane Fiona in eastern Canada, which cost over $800 million, show that coastal regions are not prepared for storms of this intensity. The proposed research program will improve prediction of the responses to two major types of extreme wave conditions in coastal areas. The first type of extreme conditions are large surface waves and storm surges generated by major storms such as hurricanes. The second type includes waves generated by landslides, a major hazard for coastal communities. The research goals are to protect Canadian coasts from extreme waves and coastal hazards by: 1) understanding the dynamics of past and present environmental conditions; 2) predicting the range of possible future conditions; and 3) designing better solutions for protecting coastal communities and infrastructure. The research program has three related research themes. Research in the first theme will quantify the range of climate change impacts on dynamic fluid and sediment processes in the coastal environment. The second research theme involves experimental and numerical studies to design better nature-based solutions for coastal protection. The third research theme aims to investigate coastal hazards caused by landslides into water and submarine mass failures. The proposed research will focus on training 12 highly qualified personnel including 3 PhD, 6 MASc and 3 undergraduate students. The students will be trained to improve prediction of conditions in the coastal environment by combining new laboratory and field observations with novel and improved theory and numerical modelling techniques. The proposed research program aims to lead Canada's effort to improve prediction of extreme coastal conditions. This research will benefit Canada by training coastal engineering experts, and providing critical information for engineers, scientists, managers and policy makers to improve coastal resiliency. The discoveries will have broad and significant implications for improving prediction of conditions in the coastal environment, aimed at reducing the loss of life and the cost to rebuild infrastructure caused by natural hazards. This work will have a significant impact on a wide range of people and organizations, including private sector consulting companies, public sector government agencies and academic communities.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2024-04097
Name nom
Mulligan, Ryan
Department département
Civil Engineering
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
2024
Award amount
59000
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
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
402
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Oceans, seas and estuaries
Area of application fr
Océans, mers et estuaires
Research subject code
1005
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Hydraulic engineering
Research subject fr
Génie hydraulique
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
Predicting Coastal Environmental Conditions in a Changing Climate
Keywords
surface waves; storm surge; hurricanes; tsunamis; beaches; coastal structures; climate change; nature-based design; natural hazards; sediment transport
Application summary
Climate change is having catastrophic impacts on coastal areas around the world, and the effects of climate change are also expected to worsen as changing weather patterns drive stronger storms. These atmospheric events can generate extreme waves and storm surges, and drive cascading hazards such as coastal flooding and triggering of landslides into water. The recent disasters in September 2022 such as Hurricane Ian in western Florida, USA, which cost over $112 billion, and Hurricane Fiona in eastern Canada, which cost over $800 million, show that coastal regions are not prepared for storms of this intensity. The proposed research program will improve prediction of the responses to two major types of extreme wave conditions in coastal areas. The first type of extreme conditions are large surface waves and storm surges generated by major storms such as hurricanes. The second type includes waves generated by landslides, a major hazard for coastal communities. The research goals are to protect Canadian coasts from extreme waves and coastal hazards by: 1) understanding the dynamics of past and present environmental conditions; 2) predicting the range of possible future conditions; and 3) designing better solutions for protecting coastal communities and infrastructure. The research program has three related research themes. Research in the first theme will quantify the range of climate change impacts on dynamic fluid and sediment processes in the coastal environment. The second research theme involves experimental and numerical studies to design better nature-based solutions for coastal protection. The third research theme aims to investigate coastal hazards caused by landslides into water and submarine mass failures. The proposed research will focus on training 12 highly qualified personnel including 3 PhD, 6 MASc and 3 undergraduate students. The students will be trained to improve prediction of conditions in the coastal environment by combining new laboratory and field observations with novel and improved theory and numerical modelling techniques. The proposed research program aims to lead Canada's effort to improve prediction of extreme coastal conditions. This research will benefit Canada by training coastal engineering experts, and providing critical information for engineers, scientists, managers and policy makers to improve coastal resiliency. The discoveries will have broad and significant implications for improving prediction of conditions in the coastal environment, aimed at reducing the loss of life and the cost to rebuild infrastructure caused by natural hazards. This work will have a significant impact on a wide range of people and organizations, including private sector consulting companies, public sector government agencies and academic communities.