Modelling of future flood risk across Canada due to climate change

Climate change has induced changes in key climate variables and hydrological cycles across Canada. With continuous emission of greenhouse gases, this trend is expected to continue over the 21st century and beyond. In this study, a macro-scaled hydrodynamic model is used to simulate 25 km resolution...

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Published in:WIT Transactions on Engineering Sciences, Risk Analysis XI
Main Authors: Gaur, Ayushi, Gaur, Abhishek, Simonovic, Slobodan P.
Format: Article in Journal/Newspaper
Language:English
Published: WIT Press 2018
Subjects:
Online Access:https://doi.org/10.2495/RISK180131
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spelling ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:4cee2495-0682-44a6-9bed-f008a6f17db4 2023-05-15T17:48:05+02:00 Modelling of future flood risk across Canada due to climate change Gaur, Ayushi Gaur, Abhishek Simonovic, Slobodan P. 2018 text https://doi.org/10.2495/RISK180131 https://nrc-publications.canada.ca/eng/view/ft/?id=4cee2495-0682-44a6-9bed-f008a6f17db4 https://nrc-publications.canada.ca/eng/view/object/?id=4cee2495-0682-44a6-9bed-f008a6f17db4 https://nrc-publications.canada.ca/fra/voir/objet/?id=4cee2495-0682-44a6-9bed-f008a6f17db4 eng eng WIT Press issn:1743-3533 issn:1746-4471 Risk Analysis XI, Risk Analysis 2018, 6–8 June 2018, Seville, Spain, Publication date: 2018, Pages: 149–159 doi:10.2495/RISK180131 climate change Canada flooding frequency catchment based macroscale floodplain model uncertainty article 2018 ftnrccanada https://doi.org/10.2495/RISK180131 2022-04-30T23:00:55Z Climate change has induced changes in key climate variables and hydrological cycles across Canada. With continuous emission of greenhouse gases, this trend is expected to continue over the 21st century and beyond. In this study, a macro-scaled hydrodynamic model is used to simulate 25 km resolution daily streamflow across Canada for historical (1961–2005) and future (2061–2100) timelines. Future projections from 21 General Climate Models (GCMs) following four Representative Concentration Pathways (RCPs) are used for analysis. Changes in the frequency and magnitude of historical 100-year and 250-year return period flood events and month of occurrence of peak flow are analyzed. Results obtained from uncertainty analysis for both return period flood events found that flood frequency will increase in most of northern Canada, southern Ontario, southern British Columbia, northern Alberta, Manitoba and Saskatchewan. However, northern British Columbia, northern Ontario, Manitoba and north-eastern Quebec will be facing a decrease in flood frequency. Aggregated results indicate early summertime extreme flows in the regions such as Alberta, Saskatchewan, Manitoba, Quebec, southern Ontario and some parts of Nunavut and Yukon territories, whereas the British Columbia region is mostly projected with increases in wintertime flooding. The projected flood hazard changes at 100 most populous Canadian cities and flow regulation infrastructure (FRI) are used to quantify future changes in flood risk. Results indicate that 40–60% of Canada’s 100 most populated cities including many prominent cities such as Toronto and Montreal are high at risk of increased riverine flooding under climate change. Among the 1,072 FRIs analyzed, 45–60% of them can be expected to experience increases in flood magnitudes in the future whereas 25–60% of them can be expected to experience changes in flood timing. Peer reviewed: Yes NRC publication: Yes Article in Journal/Newspaper Nunavut Yukon National Research Council Canada: NRC Publications Archive Nunavut Yukon Canada British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) WIT Transactions on Engineering Sciences, Risk Analysis XI 1 149 159
institution Open Polar
collection National Research Council Canada: NRC Publications Archive
op_collection_id ftnrccanada
language English
topic climate change
Canada
flooding frequency
catchment based macroscale floodplain model
uncertainty
spellingShingle climate change
Canada
flooding frequency
catchment based macroscale floodplain model
uncertainty
Gaur, Ayushi
Gaur, Abhishek
Simonovic, Slobodan P.
Modelling of future flood risk across Canada due to climate change
topic_facet climate change
Canada
flooding frequency
catchment based macroscale floodplain model
uncertainty
description Climate change has induced changes in key climate variables and hydrological cycles across Canada. With continuous emission of greenhouse gases, this trend is expected to continue over the 21st century and beyond. In this study, a macro-scaled hydrodynamic model is used to simulate 25 km resolution daily streamflow across Canada for historical (1961–2005) and future (2061–2100) timelines. Future projections from 21 General Climate Models (GCMs) following four Representative Concentration Pathways (RCPs) are used for analysis. Changes in the frequency and magnitude of historical 100-year and 250-year return period flood events and month of occurrence of peak flow are analyzed. Results obtained from uncertainty analysis for both return period flood events found that flood frequency will increase in most of northern Canada, southern Ontario, southern British Columbia, northern Alberta, Manitoba and Saskatchewan. However, northern British Columbia, northern Ontario, Manitoba and north-eastern Quebec will be facing a decrease in flood frequency. Aggregated results indicate early summertime extreme flows in the regions such as Alberta, Saskatchewan, Manitoba, Quebec, southern Ontario and some parts of Nunavut and Yukon territories, whereas the British Columbia region is mostly projected with increases in wintertime flooding. The projected flood hazard changes at 100 most populous Canadian cities and flow regulation infrastructure (FRI) are used to quantify future changes in flood risk. Results indicate that 40–60% of Canada’s 100 most populated cities including many prominent cities such as Toronto and Montreal are high at risk of increased riverine flooding under climate change. Among the 1,072 FRIs analyzed, 45–60% of them can be expected to experience increases in flood magnitudes in the future whereas 25–60% of them can be expected to experience changes in flood timing. Peer reviewed: Yes NRC publication: Yes
format Article in Journal/Newspaper
author Gaur, Ayushi
Gaur, Abhishek
Simonovic, Slobodan P.
author_facet Gaur, Ayushi
Gaur, Abhishek
Simonovic, Slobodan P.
author_sort Gaur, Ayushi
title Modelling of future flood risk across Canada due to climate change
title_short Modelling of future flood risk across Canada due to climate change
title_full Modelling of future flood risk across Canada due to climate change
title_fullStr Modelling of future flood risk across Canada due to climate change
title_full_unstemmed Modelling of future flood risk across Canada due to climate change
title_sort modelling of future flood risk across canada due to climate change
publisher WIT Press
publishDate 2018
url https://doi.org/10.2495/RISK180131
https://nrc-publications.canada.ca/eng/view/ft/?id=4cee2495-0682-44a6-9bed-f008a6f17db4
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https://nrc-publications.canada.ca/fra/voir/objet/?id=4cee2495-0682-44a6-9bed-f008a6f17db4
long_lat ENVELOPE(-125.003,-125.003,54.000,54.000)
geographic Nunavut
Yukon
Canada
British Columbia
geographic_facet Nunavut
Yukon
Canada
British Columbia
genre Nunavut
Yukon
genre_facet Nunavut
Yukon
op_relation issn:1743-3533
issn:1746-4471
Risk Analysis XI, Risk Analysis 2018, 6–8 June 2018, Seville, Spain, Publication date: 2018, Pages: 149–159
doi:10.2495/RISK180131
op_doi https://doi.org/10.2495/RISK180131
container_title WIT Transactions on Engineering Sciences, Risk Analysis XI
container_volume 1
container_start_page 149
op_container_end_page 159
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