TY - JOUR
T1 - Geospatial modeling of the impact of sea level rise on coastal communities
T2 - application of Richmond, British Columbia, Canada
AU - Malik, Abdulahad
AU - Abdalla, Rifaat
N1 - Publisher Copyright:
© 2016, Springer International Publishing Switzerland.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created, manipulated and processed in ArcGIS. Through this model, the impact of sea level rise was assessed on the surface area, residential areas, and a number of buildings, the number of dwellings, road network, and population. After the susceptible areas were delineated, it was estimated that at worst case scenario of 4 m sea level rise will impact Richmond by losing 46 percent of its total surface area, 462 km of road network will be under water, 637 buildings will be affected, 15 Sq. km of residential areas will be under water, and 30,000 houses will be affected. As a result, 89,000 people in the city will be displaced.
AB - Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created, manipulated and processed in ArcGIS. Through this model, the impact of sea level rise was assessed on the surface area, residential areas, and a number of buildings, the number of dwellings, road network, and population. After the susceptible areas were delineated, it was estimated that at worst case scenario of 4 m sea level rise will impact Richmond by losing 46 percent of its total surface area, 462 km of road network will be under water, 637 buildings will be affected, 15 Sq. km of residential areas will be under water, and 30,000 houses will be affected. As a result, 89,000 people in the city will be displaced.
KW - Climate change
KW - Digital elevation model (DEM)
KW - Environmental impact
KW - Modeling
KW - Sea level
KW - Visualization
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U2 - 10.1007/s40808-016-0199-2
DO - 10.1007/s40808-016-0199-2
M3 - Article
AN - SCOPUS:85069530486
SN - 2363-6203
VL - 2
JO - Modeling Earth Systems and Environment
JF - Modeling Earth Systems and Environment
IS - 3
M1 - 146
ER -