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Study Explores Uncertainties in Flood Risk Estimates Details Desert Research Institute 14 June 2022 Previous Article Report: Antarctic Is Changing Dramatically, With Global Consequences Next Article Companies’ Use of Renewable Energy Certificates Masks Inaction on Carbon Emissions, Concordia Research Finds Typography Font Size Default Reading Mode Share This Flood frequency analysis is a technique used to estimate flood risk, providing statistics such as the “100-year flood” or “500-year flood” that are critical to infrastructure design, dam safety analysis, and flood mapping in flood-prone areas.

Flood frequency analysis is a technique used to estimate flood risk, providing statistics such as the “100-year flood” or “500-year flood” that are critical to infrastructure design, dam safety analysis, and flood mapping in flood-prone areas. But the method used to calculate these flood frequencies is due for an update, according to a new study by scientists from DRI, University of Wisconsin-Madison, and Colorado State University.

Floods, even in a single watershed, are known to be caused by a variety of sources, including  rainfall, snowmelt, or “rain-on-snow” events in which rain falls on existing snowpack. However, flood frequencies have traditionally been estimated under the assumption these flood “drivers,” or root causes, are unimportant.

In a new open-access paper in Geophysical Research Letters, a team led by Guo Yu, Ph.D., of DRI examined the most common drivers (rainfall, snowmelt, and rain-on-snow events) of historic floods for 308 watersheds in the Western U.S., and investigated the impact of different flood types on the resulting flood frequencies.

Read more at: Desert Research Institute

The Truckee River in Reno, Nev. during high flow conditions after a storm in late January, 2016. (Photo Credit: Kelsey Fitzgerald/DRI)

 

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