Abstract
Past attempts to estimate rainfall-driven flood risk across the US either have incomplete coverage, coarse resolution or use overly simplified models of the flooding process. In this paper, we use a new 30m resolution model of the entire conterminous US with a 2D representation of flood physics to produce estimates of flood hazard, which match to within 90% accuracy the skill of local models built with detailed data. These flood depths are combined with exposure datasets of commensurate resolution to calculate current and future flood risk. Our data show that the total US population exposed to serious flooding is 2.6 to 3.1 times higher than previous estimates, and that nearly 41 million Americans live within the 1% annual exceedance probability floodplain (compared to only 13 million when calculated using FEMA flood maps). We find that population and GDP growth alone are expected to lead to significant future increases in exposure, and this change may be exacerbated in the future by climate
change.
change.
Original language | English |
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Article number | 034023 |
Number of pages | 7 |
Journal | Environmental Research Letters |
Volume | 13 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Mar 2018 |
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Professor Paul D Bates
- School of Geographical Sciences - Professor of Hydrology
- Cabot Institute for the Environment
- Hydrology
Person: Academic , Member