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Predicting flood damage probability across the conterminous United States

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Collins, E. L., Sanchez, G. M., Terando, A., Stillwell, C. C., Mitasova, H., Sebastian, A., & Meentemeyer, R. K. (2022). Predicting flood damage probability across the conterminous United States. Environmental Research Letters, 17(3), 034006. https://doi.org/10.1088/1748-9326/ac4f0f

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Abstract (from Environmental Research Letters): Floods are the leading cause of natural disaster damages in the United States, with billions of dollars incurred every year in the form of government payouts, property damages, and agricultural losses. The Federal Emergency Management Agency oversees the delineation of floodplains to mitigate damages, but disparities exist between locations designated as high risk and where flood damages occur due to land use and climate changes and incomplete floodplain mapping. We harnessed publicly available geospatial datasets and random forest algorithms to analyze the spatial distribution and underlying drivers of flood damage probability (FDP) caused by excessive rainfall and overflowing water [...]

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  • National and Regional Climate Adaptation Science Centers
  • Southeast CASC

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citationTypeJournal Article
parts
typeVolume
value17
typeNumber
value3
typeDOI
value Collins, E. L., Sanchez, G. M., Terando, A., Stillwell, C. C., Mitasova, H., Sebastian, A., & Meentemeyer, R. K. (2022). Predicting flood damage probability across the conterminous United States. Environmental Research Letters, 17(3), 034006. https://doi.org/10.1088/1748-9326/ac4f0f

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