Set up two customized multi-hazard interactive maps, for potential further planning needs and applications susceptibility to Tsunami Inundation and Landslide Hazards in the City of Yachats, Oregon.
This interactive map includes other map resources in addition to the data used in this assessment report, such as FEMA Flood Map Service (area susceptible to flooding related to large river discharge or coastal storm surge events) and various tsunami inundation scenarios simulated by DOGAMI.
Simplified user guide for the multi-hazard interactive map:
Click on any point in the map to get geologic and hazard information about that location.
Find detailed “layer information” and a comprehensive user guide “How to use this interactive map?” through the icon (≡).
Use the Home icon (⌂) to come back to the map view at any time.
Sample multi-hazard interactive map: proposed childcare facility
Coastal communities within the Cascadia region, USA, are presently vulnerable to chronic coastal hazards such as erosion and flooding with impacts projected to be significantly exacerbated due to changing climate. A decision support model (Envision) has been co-developed with coastal community partners to dynamically explore the evolving communities’ exposure to these hazards. Envision is a spatially explicit multi-agent modelling platform supporting scenario-based planning to examine interactions between the coupled human and natural coastal systems. Here, we report on two recent advances to the Envision modeling framework. First, Envision has been modified to incorporate stochastic total water level (TWL) boundary conditions derived from the Time-varying Emulator for Short- and Long-term Analysis (TESLA) model. TESLA uses a weather type-based approach to explicitly retain the connections between climate, weather, and multivariate TWL drivers. Secondly, we incorporate flooding metrics such as extreme-event-specific, high-resolution maximum flooding depths and extents that are computed using the reduced-complexity Super-Fast INundation of CoastS (SFINCS) model without restrictive simulation times. Envision simulations are allowing researchers and community members along the Cascadia coastline to estimate the efficacy of different adaptation strategies across several stakeholder developed resilience metrics. This research is aimed at enhancing our understanding of the impacts of chronic erosion and flooding under a changing climate and to co-develop a range of adaptation strategies to increase coastal community resilience.
Click here for more details: AGU Fall meeting 2022 iPoster
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