Florida conducted a statewide regional evacuation study using GIS to create consistent storm surge and evacuation zone maps across 11 regions. A common methodology and toolset was developed using ESRI software and SLOSH model surge data to automate the processing and create compatible products. The study updated outdated evacuation data and maps to improve evacuation planning across the state using higher resolution elevation and imagery data.
Florida's Statewide Regional Evacuation Study Updates Evacuation Zones Using Common GIS Toolset
1. GIS Coordination on a Statewide Scale using a Common Toolset Application Marshall Flynn IT/GIS Manager Tampa Bay Regional Planning Council Pinellas Park, FL
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5. SRES Process Components Li ght D etection a nd R anging LiDAR S ea, L ake, O verland S urge from H urricanes SLOSH Models Regional Evacuation Studies Analyses Vulnerability Behavioral Demographics Transportation Storm Surge Zones Begun FY 06-07 Complete FY 09-10 Data Processing Development for SLOSH Begun FY 06-07 Complete FY 08-09 Begun FY 06-07 Complete FY 08-09 Contractors Contractors National Hurricane Center Regional Planning Councils Regional Planning Councils Begun FY 08-09 Complete FY 09-10 Begun FY 08-09 Complete FY 09-10 FY 09-10
6. What is SLOSH? • Sea, Lake, and Overland Surge from Hurricanes • A computerized model developed by the National Weather Service (NWS) to estimate storm surge heights and winds resulting from historical, hypothetical, or predicted hurricanes.
7. What is Storm Surge? NAVD88 STORM SURGE is the increase in water level due to a storm (hurricane /tropical storm / high winds).
12. DEFINITIONS: STORM SURGE is the increase in water level due to a storm (hurricane / tropical storm / high winds). STORM TIDE is the total water level during a storm = Astro Tide + STORM SURGE + Rainfall Runoff + Anomaly
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16. INPUT TO SLOSH TRACK Positions - latitude & longitude INTENSITY - (pressure drop) SIZE - Radius of maximum wind
24. This is not what the real world is like…… SLOSH grids actually much bigger Average Surge Height Average Surge Height Average Surge Height Average Surge Height
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27. An area with SLOSH MOMs in their default square basin form. Circled area would be devoid of surge if not interpolated.
28. You can see how the interpolation hugs the terrain as in real life. That is what you are looking for.
SLOSH stands for Sea, Lake, and Overland Surge from Hurricanes. It is a computerized model developed by the National Weather Service (NWS) to estimate storm surge heights and winds resulting from historical, hypothetical, or predicted hurricanes. • SLOSH is used by the National Hurricane Center (NHC) for the exclusive benefit of NWS, US Army Corps of Engineers (USACE), and Emergency Management personnel. • There are several other storm surge models in use, including ADCIRC, however, SLOSH is the primary model used by the Federal Emergency Management Agency (FEMA), the National Oceanographic and Atmospheric Administration (NOAA), and USACE. It is also the basis for Hurricane Evacuation Studies (HES).
• This picture visually depicts the definition of a storm surge. • Storm surge is water that is pushed toward the shore by the force of the winds swirling around the storm. • This advancing surge combines with the normal tides to create the hurricane storm tide, which can increase the mean water level by 15 feet or more.
• The individual elements of the SLOSH grid are the basis for calculating water surface elevations caused by storm surge in a specific SLOSH basin. • The grid allows for barriers to flow, cuts in barriers, one dimensional flow in rivers and streams, and increased friction for trees and mangroves in certain grid blocks to be taken into consideration in the calculations. • Δs refers to the distance or length of each side of the grid element. • The transport points are the points at which flow enters and exits the cell. • The water depth is calculated based on the elevation of the grid cell and the amount of water that is able to flow into that cell. The water surface is found at the elevation of the water depth combined with the average ground elevation of the grid cell.
In this screen shot, only those points classified as ground are displayed. Note that these points are still symbolized by elevation, but a new ramp has been applied (in other words, the red in the bottom right hand corner isn’t the same height as the red points in the previous slide). From this filtered, bare-earth data, a digital terrain model is created.
From the filtered, bare-earth LiDAR data, a digital terrain model is created.
Remember that SLOSH is a coarse, grid based model. In this case, the grid are approximately 850 meters by 850 meters. For each grid, elevation points from the LiDAR are averaged, “roughness” is calculated from land cover, barriers, cuts, and flows are identified from topographic and bathymetric features.