Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps
New research shows the wide spread in flood impacts simulated by different modeling approaches.
New research from Gutenson, J. L. and others, including Fathom’s Chief Research Officer Dr Oliver Wing, compares the estimated impact and exposure to flooding generated by different event-based flood inundation maps.
Flood inundation maps (FIMs) provide essential information to emergency management during flood events. There are a number of different frameworks capable of estimating FIMs during compound coastal flood events. Using Hurricane Harvey as an example event, the research focused on a small coastal watershed in Texas.
The team evaluated three FIMs derived from these frameworks. This research evaluated HEC-RAS, AutoRoute and Fathom-US models. The research compared Fathom’s simulations of this event with detailed local HEC-RAS models as well as more simplified approaches (such as HAND).
These FIMs were evaluated using a two-layer analysis; assessing the locational accuracy for each FIM and a comparison of exposure and consequence estimates from each FIM.
Their analysis shows that each of the three different FIM frameworks provided not only different levels of accuracy, but also produced different exposure and consequence estimations due to spatial differences. Though the findings show that no one FIM is perfect in its estimations (as each is subject to its own uncertainties present from the model’s numerical scheme, inputs and configuration) Fathom’s US model and the detailed models show similarly high correspondence to benchmark data, while the simple approach was subject to considerable error. By using a multi-model approach to evaluating the impacts of flood events before, during and after they happen, users can increase their confidence in modeled results and more easily identify areas where error might exist.
This study highlights the need to rectify and adjudicate the various FIMs created during flood events. In response to this need the Integrated Water Resources Science and Services (IWRSS) consortium has set out operational plans for coordinating FIM production through the Integrated Flood Inundation Mapping (iFIM) effort (Mason et al., 2020).
Related research
A climate conditioned catastrophe risk model for UK flooding
New research from Bates et al. describes the creation of a transparent flood model for the UK that simulates pluvial, fluvial and coastal flood risks for 10 different return periods.
Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps
New research from Gutenson, J. L. and others, including Fathom’s Chief Research Officer Dr Oliver Wing, compares the estimated impact and exposure to flooding generated by different event-based flood inundation maps.
Use of hydrological models in global stochastic flood modeling
An investigation into the effectiveness of using synthetic gauge data from global hydrological models as input data for global stochastic modeling.
Uneven burden of urban flooding
Who floods? A commentary on the uneven burden of urban flooding in Nature Sustainability.
Urbanizing the floodplain: global changes of imperviousness in flood-prone areas
Are floodplains becoming more built on over time? Using new global satellite data, Kostas Andreadis in this paper shows floodplain urbanization has almost doubled since 1985.
Social inequalities in climate change-attributed impacts of Hurricane Harvey
This research uses attribution science to examine the influence that climate change had on the damage caused by Hurricane Harvey in 2017.
