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Yinxue Liu

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Articles

Global estimation of bankfull river discharge reveals distinct flood recurrences across climate zones

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By Yinxue Liu
| PreventionWeb
Your experience on PreventionWeb Please help us improve PreventionWeb by taking this brief survey. Your input will allow us to better serve the needs of the DRR community. See the survey Please note: Content is displayed as last posted by a PreventionWeb community member or editor. The views expressed therein are not necessarily those of UNDRR, PreventionWeb, or its sponsors. See our terms of use
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Global estimation of bankfull river discharge reveals distinct flood recurrences across climate zones

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By Yinxue Liu, Michel Wortmann, Laurence Hawker, Jeffrey Neal, Jiabo Yin, Marcus Santos, Bailey Anderson, Richard J. Boothroyd, Andrew Nicholas, Greg Smith, Philp J. Ashworth, Hannah Cloke, Solomon Gebrechorkos, Julian Leyland, Boen Zhang, Ellie Vahidi, Helen V. Griffith, Pauline Delorme, Stuart James McLelland, Daniel Parsons, Stephen Darby, Louise J. Slater
| Flipboard
13 hours ago One of the country’s largest reservoirs hit a record-low surface elevation over the weekend, prompting concerns about critical water and electricity supply for several states, including California. Lake Powell, located on the Arizona-Utah border, dropped to a surface-level elevation of 3,519.91 feet …
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Global estimation of bankfull river discharge reveals distinct flood recurrences across climate zones

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By Yinxue Liu, Michel Wortmann, Laurence Hawker, Jeffrey Neal, Jiabo Yin, Marcus Santos, Bailey Anderson, Richard J. Boothroyd, Andrew Nicholas, Greg Smith, Hannah Cloke, Solomon Gebrechorkos, Julian Leyland, Boen Zhang, Ellie Vahidi, Helen V. Griffith, Pauline Delorme, Daniel Parsons, Stephen Darby, Louise J. Slater, Philp J. Ashworth, Stuart James McLelland
| Nature Verified
Abstract Bankfull discharge, the maximum flow a river can convey before spilling over its banks, is central to modelling flood risk and understanding river-channel evolution. Global flood inundation models assume a 2-year return period for bankfull conditions, but this assumption remains untested globally. Here we use observations and machine learning to estimate bankfull discharge at ~1-km resolution along a recently developed global river network.
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