Description
1) Planning for the Future: Probabilistic Pluvial
Flooding Predictions
Susan Marlow, GISP, Stantec, susan.marlow@stantec.com
Co-presenters: None
Abstract: Tennessee has
experienced extreme weather events at an increasing frequency that have caused
severe flooding, destruction, and the tragic loss of lives. Using funding from the U.S. Department of
Housing and Urban Development (HUD) Community Development Block Grant -
National Disaster Resilience Competition (CDBG-NDR), the Tennessee Economic and
Community Development Department (TNECD) partnered with Stantec, to integrate a
new decision-support technology to strengthen its resiliency efforts against
flooding. Flood Predictor, a proprietary product developed by Stantec, is a
machine learning flood-risk technology based on FEMA Risk MAP data that
provides Tennessee communities high-quality pluvial flood predictions to
support disaster planning, response, and mitigation. TNECD has integrated Flood
Predictor results into TNPlan web portal—an online repository of resilience
data that gives government leaders, community officials, and emergency managers
quick and efficient access to insights to flood risk when future disasters
strike. This presentation will detail
the methodology used to create probabilistic pluvial flood predictions, the TN
Plan web portal, and how Tennessee is using these predictions to better prepare
for and respond to rainfall events and ultimately save lives.
2) Implementation of Forecast Flood Inundation Mapping for the Nation
Mark Glaudemans,
PE, National
Weather Service, mark.glaudemans@noaa.gov
Co-presenters: David Vallee, NOAA/NWS Office of Water
Prediction/National Water Center, David.Vallee@noaa.gov
Abstract: The NOAA
National Weather Service (NWS) has a mission to issue forecasts for the
protection of lives and property, the delivery of impact-based decision support
services, and the enhancement of the national economy. Partners across the nation have expressed an
urgent need for more detailed flood forecasts and the resulting inundation
information. There is a demand for
event-driven flood inundation mapping (FIM) as a high value source of
actionable information for emergency and water resource managers to prepare,
mitigate, and respond to flood impacts.
In response, the NWS National Water Center, in coordination with River
Forecast Centers (RFC) and Weather Forecast Offices (WFO) and Federal and other
partners, has developed high-resolution inundation modeling capabilities
providing geo-referenced visualizations of forecast flooding extent at the
continental scale. The NWS FIM
methods deploy a model agnostic approach to map the inundation at a 10-meter
horizontal resolution for rivers and streams in the National Hydrography
Dataset network. Synthetic rating curves
and the application of the Height Above Nearest Drainage method allow
projection of the water surface elevation in the channel to neighboring cells
in the digital elevation model.
Through two Department of Commerce Agency Priority Goals, NOAA has
demonstrated the FIM capability for over 20 million Texas residents and 95
million residents in the Northeast U.S.
Over the next 4 years, NOAA will revolutionize water prediction
capabilities by providing event-driven high spatial resolution forecast FIM for
nearly 100% of the U.S. population.
This presentation will highlight these demonstrations and the initial
rollout of services to 10% of the nation by September 2023 for areas in the
Northeast and Texas. These FIM services
include the hourly updated analysis and 5 day forecast FIM driven by the
official NWS River Center Forecasts and by the National Water Model guidance.
3) Innovations in flood hazard mapping: Adaptation to a changing climate and an eye toward equity
Haley Selsor, student, University of Georgia, hks47033@uga.edu
Co-presenters: Matt Chambers; Scott Pippin
Abstract: Urban flooding is a growing threat due to land use and climate change. Flood risk is typically measured by physical impacts or damages in the form of a monetary value. However, floods can cause long-lasting, devastating consequences born by socially vulnerable communities that impede recovery as a result of historical societal and institutional influences. As urban populations are increasing alongside the threat of urban flooding, there is a need to incorporate the social implications of flooding when evaluating flood risk. In a case-study of Athens-Clarke County, we investigated the distribution of flood exposure and identified communities who are overexposed to flooding. We found that socially vulnerable communities have disproportionately greater flood exposure, reflecting similar patterns across the Southeastern United States. This work also investigates the variation in equitable exposure across flood magnitudes, and we found that the largest inequities occurred for the smaller events instead of the 100-year flood event. In order to do this analysis, we integrated the physical and social impacts of flooding into a single metric to quantify flood risk equity. In this presentation, we will demonstrate how this metric can be used to evaluate the social implications of engineering interventions to aid in the decision-making process.