Abstract
Over the years, floods have caused economic damage that has impacted development in many regions. As a result, a comprehensive overview of flood-prone areas at the provincial scale is important in order to identify zones that require detailed assessment with hydrodynamic models. This study presents two approaches that were used to prioritize flood-prone areas at the provincial scale in New Brunswick, Canada. The first approach is based on a spatial multi-criteria evaluation (SMCE) technique, while the second approach pertains to flood exposure analysis. The results show the variation in the identified flood-prone areas and, depending on the methodology and scenario used, prioritization changes. Therefore, a standard methodology might not be feasible and should be developed based on the objective of the study. The results obtained can be useful for flood risk practitioners when making decisions about where to commence detailed flood hazard and risk assessment.
Highlights
In New Brunswick, floods are the most destructive type of hazard, with costs estimated at$245 million Canadian dollars for the period 1913–2014, damage estimates have not been completed for many flood events [1]
Flood Risk Prioritization Based on Multi-Criteria Analysis
This study prioritized flood-prone areas at the provincial scale based on a qualitative approach in order to identify areas that will require detailed flood mapping using hydrodynamic models
Summary
$245 million Canadian dollars for the period 1913–2014, damage estimates have not been completed for many flood events [1]. These events have led to the destruction of properties, infrastructure and ecosystems. The disruption of movement along roads is recurrent in the province, and causes the displacement of people, goods and services. 2010, resulted in the closure of about 120 roads in the southern and western section of the province [1]. Flooding caused the closure of the Trans-Canada Highway between Fredericton and Moncton for many days, especially during the May 2018 flood [3]
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