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)
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