Intersecting near-real time fluvial and pluvial inundation  estimates with sociodemographic vulnerability  to quantify a household flood impact index

Preisser, Matthew; Passalacqua, Paola; Bixler, R. Patrick; Hofmann, Julian

doi:https://doi.org/10.5194/hess-26-3941-2022

Articles | Volume 26, issue 15

https://doi.org/10.5194/hess-26-3941-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-3941-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 15

Research article

|

01 Aug 2022

Research article |

| 01 Aug 2022

Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index

Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, and Julian Hofmann

Data sets

Data, Scripts, and Results for "Intersecting Near-Real Time Fluvial and Pluvial Inundation Estimates with Sociodemographic Vulnerability to Quantify a Household Flood Impact Index" M. Preisser, P. Passalacqua, R. P. Bixler, and J. Hofmann https://doi.org/10.5281/zenodo.6584401

Model code and software

r-barnes/Barnes2020-FillSpillMerge R. Barnes https://github.com/r-barnes/Barnes2020-FillSpillMerge

passaH2O/GeoFlood PassaH2O Group https://github.com/passaH2O/GeoFlood

Short summary

There is rising concern in numerous fields regarding the inequitable distribution of human risk to floods. The co-occurrence of river and surface flooding is largely excluded from leading flood hazard mapping services, therefore underestimating hazards. Using high-resolution elevation data and a region-specific social vulnerability index, we developed a method to estimate flood impacts at the household level in near-real time.