Abstract

In Canada, climate change is expected to increase the extreme precipitation events by magnitude and frequency, leading to more intense and frequent river flooding. In this study, we attempt to map the flood hazard and damage under projected climate scenarios (2050 and 2080). The study was performed in the two most populated municipalities of the Petite Nation River Watershed, located in southern Quebec (Canada). The methodology follows a modelling approach, in which climate projections are derived from the Hydroclimatic Atlas of Southern Quebec following two representative concentration pathways (RCPs) scenarios, i.e., RCP 4.5 and RCP 8.5. These projections are used to predict future river flows. A frequency analysis was carried out with historical data of the peak flow (period 1969–2018) to derive different return periods (2, 20, and 100 years), which were then fed into the GARI tool (Gestion et Analyse du Risque d’Inondation). This tool is used to simulate flood hazard maps and to quantify future flood risk changes. Projected flood hazard (extent and depth) and damage maps were produced for the two municipalities under current and for future scenarios. The results indicate that the flood frequencies are expected to show a minor decrease in peak flows in the basin at the time horizons, 2050 and 2080. In addition, the depth and inundation areas will not significantly change for two time horizons, but instead show a minor decrease. Similarly, the projected flood damage changes in monetary losses are projected to decrease in the future. The results of this study allow one to identify present and future flood hazards and vulnerabilities, and should help decision-makers and the public to better understand the significance of climate change on flood risk in the Petite Nation River watershed.

Highlights

  • Floods are the most frequent natural hazard in Canada [1,2] and in many parts of the world

  • The results indicate that flooding frequencies of historical 2, 20- and 100-year return periods decrease slightly for the periods 2050 and 2080 under representative concentration pathways (RCPs) 4.5 and RCP 8.5

  • The highest relative decrease was observed under RCP 8.5 in 2080, whereas the lowest relative change was observed under RCP 4.5 in 2050

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Summary

Introduction

Floods are the most frequent natural hazard in Canada [1,2] and in many parts of the world They can occur at any time of the year and are mostly caused by hydrometeorological mechanisms, such as heavy rainfall, rapid melting of a deep snowpack, ice jams, or, more rarely, the failure of a natural or the human-made dam. Their frequency, magnitude, and cost are on the rise worldwide, potentially increasing flood damage in the future. The modelling approaches using linked climate-hydrologic models could help to characterize future changes in flood risk [11]

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