acm-header
Sign In

Communications of the ACM

ACM TechNews

Researchers Develop Model to Assess for Flood Hazards


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
A flooded street.

The widespread flooding that submerged parts of the Canadian provinces most densely populated regions in 2017 and 2019 exposed important gaps in Quebecs flood preparedness regime.

Credit: Kelly Sikkema/Unsplash

Canadian and U.K. scientists led by a team at Canada's Concordia University have developed a new technique for generating a watershed-scale flood risk model based on Light Detection and Ranging (LiDAR) data.

LiDAR can yield a precise, dated, time-stamped water surface reading, which the researchers paired with river discharge data from the Ministry of Environment and Fight Against Climate Change to calculate riverbed depth.

Awareness of a river’s carrying capacity can provide public safety officials enough time to warn local residents when models predict conditions that can lead to flooding.

The initiative is part of Quebec's Project INFO-Crue, an effort to update flood maps in 50 watersheds (drainage basins) that were prioritized following recent floods.

From Concordia University (Canada)
View Full Article

 

Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

No entries found