Grant: Applied Research and Development Grants - Level 1
Nova Scotia Community College
$25,000.00
Tools to Assess Flood Risk of Commercial Property Investment
EF 2015-16
Résumé
Coastal flooding is an increasing problem for industries and property owners. Adaptation measures must be
implemented by industries that are in flood prone areas and tools to assess flood risk need to be developed to
assist companies deciding where to invest. Many coastal communities in Nova Scotia are located at the mouth
of major rivers, which make them particularly vulnerable to flooding as sea-level rises. Liverpool, Nova Scotia
is one of these communities. Located on the coast where the Mersey River drains into the Atlantic Ocean,
Liverpool has areas that have recently seen flooding, possibly from the confluence of overland and storm surge
flooding. Parsons Investments Ltd. owns commercial properties in Liverpool which have been damaged due to
flooding from the Mersey Estuary in recent years, and are potentially susceptible to combined overland and
storm surge flooding. The company is looking to develop tools to investigate mitigation options, and provide a
greater understanding of flooding potential for future property development and coastal investments.
NSCC's Applied Geomatics Research Group (AGRG) will explore new remote sensing technology (airborne
topographic-bathymetric lidar) to assist Parsons Investments in determining the susceptibility of its assets in
Liverpool to flooding as well as Liverpool's downtown area, and propose adaptation strategies. Specifically,
AGRG will acquire topo-bathymetric lidar for a section of the Mersey River from Liverpool to the outlet where
it drains into the Atlantic Ocean to use as input elevation data for a flood model. The new lidar sensor, owned
by NSCC, is capable of surveying the river channel bathymetry and Liverpool's land topography, capturing
seamless elevation data along the critical land-water boundary. Also, a large scale model for the study site will
be constructed and run to investigate past and potential flood events in the future changing climate (ie.
sea-level rise). These results will assist Parsons Investments and the other stakeholders in the town and
investment community in understanding coastal vulnerability regarding this area and future investment
opportunities, and investigate the benefits of using detailed channel bathymetry in flood risk prediction.
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
485401-2015
Name nom
StAmour, Wayne
Department département
Head Office
Organization id
16240
Institution établissement
Nova Scotia Community College
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
405
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Modelling and mathematical simulation of natural processes
Area of application fr
Modélisation et simulation mathématique des processus naturels
Research subject code
4102
Research subject group en
Geographical information
Research subject group fr
Information géographique
Research subject en
Remote sensing
Research subject fr
Télédétection
Partie
1
Nb partie
1
Application title
Tools to Assess Flood Risk of Commercial Property Investment
Keyword
NSERC
Application summary
Coastal flooding is an increasing problem for industries and property owners. Adaptation measures must be
implemented by industries that are in flood prone areas and tools to assess flood risk need to be developed to
assist companies deciding where to invest. Many coastal communities in Nova Scotia are located at the mouth
of major rivers, which make them particularly vulnerable to flooding as sea-level rises. Liverpool, Nova Scotia
is one of these communities. Located on the coast where the Mersey River drains into the Atlantic Ocean,
Liverpool has areas that have recently seen flooding, possibly from the confluence of overland and storm surge
flooding. Parsons Investments Ltd. owns commercial properties in Liverpool which have been damaged due to
flooding from the Mersey Estuary in recent years, and are potentially susceptible to combined overland and
storm surge flooding. The company is looking to develop tools to investigate mitigation options, and provide a
greater understanding of flooding potential for future property development and coastal investments.
NSCC's Applied Geomatics Research Group (AGRG) will explore new remote sensing technology (airborne
topographic-bathymetric lidar) to assist Parsons Investments in determining the susceptibility of its assets in
Liverpool to flooding as well as Liverpool's downtown area, and propose adaptation strategies. Specifically,
AGRG will acquire topo-bathymetric lidar for a section of the Mersey River from Liverpool to the outlet where
it drains into the Atlantic Ocean to use as input elevation data for a flood model. The new lidar sensor, owned
by NSCC, is capable of surveying the river channel bathymetry and Liverpool's land topography, capturing
seamless elevation data along the critical land-water boundary. Also, a large scale model for the study site will
be constructed and run to investigate past and potential flood events in the future changing climate (ie.
sea-level rise). These results will assist Parsons Investments and the other stakeholders in the town and
investment community in understanding coastal vulnerability regarding this area and future investment
opportunities, and investigate the benefits of using detailed channel bathymetry in flood risk prediction.