Exploring Future Conditions Modeling and Mapping …...Exploring Future Conditions Modeling and...
Transcript of Exploring Future Conditions Modeling and Mapping …...Exploring Future Conditions Modeling and...
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Exploring Future Conditions Modeling
and Mapping Through the FEMA Florida
Sea Level Rise Pilot Study
Brian K. Batten, Ph.D., CFM, Rebecca Starosta, PE, CFM
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Study Team
FEMA
• Mark Crowell – Technical Lead
• Mark Vieria – Region IV Project Monitor
RAMPP Team (FEMA Study Contractor)• Emily Dhingra, P.E., CFM – Task Order Manager
• Rebecca Starosta, P.E., CFM – Project Coordinator
• Brian Batten, Ph.D., CFM – Technical Lead
Technical Team:
• Betsy Hicks, Sarah Hamm, Heather Zhao, Joel Plummer,
Patrick Snyder, Alaurah Moss, Chris Reed, Jared Dorvinen,
Taylor Asher
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Agenda
Introduction of FEMA’s SLR Pilot Studies
Technical Scope
• Storm Surge Modeling
• Detailed Wave Hazard Analysis and Mapping
Erosion Projections
• Approximate Wave Hazard Analysis and Mapping
Key Findings
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FEMA’s SLR Pilot Studies
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Technical Mapping Advisory Council Federal Advisory Council
• Initiated by Congress
• Ensure that FEMA uses the best available climate science and methodology to
address the impacts of sea level rise and future development on flood risk
Key Recommendations for Future Conditions
• Conduct future conditions analysis and mapping for non-regulatory informational
purposes
• Address accuracy, precision, and uncertainty of data and analyses
• Provide non-regulatory SLR and long-term coastal erosion map products
• Provide non-regulatory future conditions riverine flood risk products—specifically
future land use and riverine erosion products
• Communicate the risk
• Conduct demonstration projects
• Ensure that methods used for future conditions analyses should be consistent with
methods used to determine current conditions analyses, where appropriate
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FEMA Studies Addressing SLR
FEMA National Studies/Non-pilot efforts:
• Projected Impact of SLR on NFIP (1991)
• The Impact of Climate Change and Population Growth on the
National Flood Insurance Program through 2100 (2013)
• North Carolina Sea Level Rise Impact Study (2009-2013)
• Sea Level Rise Tool for Sandy Recovery (2013)
• National Flood Insurance Program, Programmatic Environmental
Impact Statement, Climate Change elements (2015)
FEMA SLR Pilot Studies
• R2 - Puerto Rico (2010 – Proof of Concept)
• R9 - San Francisco, CA
• R4 - Hillsborough/Pinellas Counties, FL
• R3 - Anacostia River & Prince George’s Co, MD. (Riverine, 2016)
• R1 – Shoreline Change Pilot
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SLR Advisory Layer Concept
Advisory (non-regulatory)
Low incremental production cost
Develop as add-on to Risk MAP studies
Convey future changes to coastal flood hazard
Guide long-term planning & adaptation
Develop for pro-active states & communities
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Technical Scope
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Pilot Study Questions
Evaluate non-linear responses for storm surge for
future conditions
• How different is a future floodplain between “bathtub” approaches
and numerical modeling?
Develop Future Flood Hazard Maps
• What are the challenges creating a future FIRM?
• How sensitive is the map to long-term erosion?
• Can innovative methods provide equally usable products as
compared to the standard FIS approach?
• Is it a useful product to the community?
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Study Area
Where:
• Hillsborough and
Pinellas Counties, FL
What:
• Storm Surge:
Full extent of both
counties
• Wave Hazards and
Mapping
50-miles of coast
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Selection of SLR Scenarios 1. Mid-Century: 0.44 m (1.44 ft)
• Used for creation of the SLR Advisory Products
2. End-of-Century: 1.3 m (4.26 ft)
• Used to provide insights into nonlinearity across diverse coastal environments
Municipal
Planning
Critical Infrastructure Planning
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Storm Surge Modeling
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Extreme water levels & SLR
Existing Flood Hazard + SLR = Future Hazard
Bathtub: 1 + 1 = 2
If we consider dynamics:
• Does 1 + 1 <> 2?
vs
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Detailed Numerical Modeling (FIS Approach)
Mesh Adjustments
for future conditions
Optimize storm suite for study
area
Production runs
Return Period
Analysis (RPA)
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Future Conditions Mesh –Marsh changes
“Surge relevant” changes incorporated:
• Marsh Loss
Source:
Gulf Coast Prairie Landscape Conservation
Cooperative (GCPLCC)
Sea Lever Rise Affecting Marshes Model
Projections
Compatible scenario (1.2 m at 2100)
ID new open water
Proxy elevations
Adjust for RSLR
Update mesh
Update land cover
Update friction
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Future Conditions Mesh –Dune loss
“Surge relevant” changes:
• Stranded dune ridges
• Assumed “to disperse” if stranded
by future high tide levels
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Storm Selection
West Florida FIS
• 6 counties
• 5 frequencies (10-, 4-, 2-, 1-, 0.2-percent-
annual-chance)
• 664 JPM-OS storms
• 80 extra-tropical storms
SLR
• 2 counties
• 1 frequency (1-percent-annual-chance)
• Optimized storm suite
Dropped extra-tropical storms
Reduced JPM-OS storm population (664 121
storms)
0 100 200 300 400 500 600 7000
10
20
30
40
50
60
70
storms
freq
uen
cie
s
1% SWEL contributions for each storm
Exit
Offshore
HC_LF
Inland
TS_LF
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Non-linear Changes in Surge
Clearwater Bay
Gulf of Mexico
Boca Ciega Bay
Tampa/Hillsborough Bay
Sarasota Bay
Tampa/Hillsborough Bay
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Future Flood Hazard Modeling
and Mapping
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Calculation of Future BFEs
Standard FIS Approach
• Realization of a future “FIRM” – advisory layer
with Base Flood Elevations
Erosion Sensitivity
• How sensitive is the FIRM to erosion hazards?
Approximate Methods
• Can approximate methods make reasonably accurate
products?
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Calculation of Future BFEs:Standard FIS Method
Full FIS Process, leverage
investment in data, framework
“Low” scenario: 1.44 feet
Same DEM as FIS (2007 FDEM)
50 miles of coast
313 WHAFIS transects
726 miles of Mapping Linework
Linear increase in SWEL
WHAFIS
RUNUP
Manual interpretation and cartographic mapping
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Calculation of Future BFEs:Detailed FIS Method
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Changes in BFE – linear?
Difference
(feet)
Hillsborough Pinellas
Area (acres) % of TotalArea
(acres)% of Total
0 306 1% 23 0%
1 7,945 21% 4,844 18%
2 27,567 72% 20,461 78%
3 2,182 6% 979 4%
> 3 120 0% 23 0%
SLR scenario
1.4 ft
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Shoreline Change Projections
Linear increase in SWEL
Edit DEM for projected profile translation
WHAFIS
Comparison
Calculation of Future BFEsWith Shoreline Change
Historical Shoreline Change
Historical SLR
Separate SLR related recession
Future SLRShoreline Change
Projection
Bottom before
sea-level rise
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Resulting Shoreline Change:Sand Key
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Resulting Shoreline Change: Pass-A-Grille Beach
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Initial Considerations for a Decision Tree
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Uncertainty in Projections
Calculation Uncertainty
• 43 year future period
• Compounding error:
historical change rate, depth of closure, slope, projected future
SLR scenario, …
• Uncertainty = ~63 ft of change, or ~1.4 ft/yr
• Average change = 124 ft
• Potential Error ~50% of projection
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Comparison of With and Without Shoreline Change
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Comparison of With and Without Shoreline Change
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Calculation of Future BFEs:Approximate Method
Approach: “Tuned” depth-limited equation
Typical
• BFE = 1% annual chance stillwater (SWEL) + controlling wave height (Hc)
• WHAFIS NAS Methodology: Hc = 0.78 x stillwater depth (d)
0.78 = wave height breaking index (i)
Challenge –
• Spatially static application of i
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Calculation of Future BFEs:Approximate Method
“Tuned” depth-limited application
• Leverage FIS WHAFIS to create a spatially-variable i
Solve for iSWEL +
SLRInterpolate i, solve for H
BFE = H + SWEL
Automate Cartography
Post-processing
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Approximate WHAFIS/Mapping
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Approximate WHAFIS/Mapping
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Approximate WHAFIS/Mapping
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Approximate Method – Accuracy
Areal Difference Detailed Product:
Pinellas Hillsborough
Observations:
• FIS cartographic adjustments
• Post-processing
DIFFERENCE
(FEET)% SFHA
< -1 3%
-1 20%
0 61%
1 13%
> 1 1%
DIFFERENCE
(FEET)% SFHA
< -1 1%
-1 15%
0 66%
1 16%
> 1 2%
94% 97%
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Approximate Method –VE Zone Accuracy
Zone Approach
Total
Area,
acres
Difference
(Detailed -
Approximate),
acres
Hillsborough
Detailed
Mapping 1,308 -306
Approximate
Mapping 1,614
Pinellas
Detailed
Mapping 1,582 684
Approximate
Mapping 899
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Summary
Surge Non-linearity
• Change in flood pathways – barrier islands, elevated roads, etc.
Hazard Mapping - Standard FIS Approach
• Feasible through FIS process
• Intermediate level of effort, with caveats
Future Shoreline Change
• Challenges remain, methods improving, high uncertainty
• Impact on map will be site specific
Approximate SLR BFEs
• “Tuning” allows for much improved accuracy
• Very efficient - Production of days instead of weeks
• Error Acceptable?
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Questions?