Modeling sea-level rise and wave-driven inundation on Laysan Island: a geospatial approach
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Transcript of Modeling sea-level rise and wave-driven inundation on Laysan Island: a geospatial approach
Modeling sea-level rise and wave-driven inundation on Laysan Island:
a geospatial approach
Paul Berkowitz, HCSU, UHH
May 20, 2014
Laysan Island, Papahānaumokuākea Marine National Monument (PMNM)
• Carbonate island
• Max. elevation ~ 10 m
• Central hyper-saline lake
• Highest dunes in north & west; lowest in east
• No well-defined reef crest
WorldView-2 image (Digital Globe 2010)
Research Objective: Estimate habitat loss on Laysan Island over the next century due to SLR and wave-driven inundation.
Passive (“bathtub”) inundation model
vs.
Wave-driven inundation model.
Geospatial processing steps:
1. Generate seamless topo/bathy grids used by wave-models (Delft3D)
2. Assign wave-driven water levels to coastal points
3. Project water-levels orthogonally up beach slope
4. Delineate inundation extent
5. Account for topography
6. Overlay inundation extent & seabird habitat
Step 1. Generate topo/bathy grids for Delft3D model
PIBHMC depth grid
Navigational Charts 1-m DEM
Digitized Coastline
Input Data Output GridsKriging
100-m resolution
20-m resolution
Step 2. Assign wave-driven water levels to coastal stations
Step 3. Project water-levels orthogonally up beach slope.
Step 4. Delineate inundation extent.
Step 5. Account for topography.
Results:1. Passive models
underestimate inundation extent during periods of high-wave energy.
2. Starting at ~ 1.5 m SLR, wave run-up (during periods of high-wave energy) will breach dunes and start to fill the interior basins.
Step 6. Overlay inundation extent with habitat to assess vulnerability (9 spp.; 5 SLR scenarios; 2 gw assumptions)
Masked & Brown Booby
Laysan TealGreat Frigatebird & Red-footed Booby
Sooty TernLaysan Albatross
Conclusions for Laysan:
1. Passive & wave-driven models predict very different levels of inundation.
2. Most impacts occur at SLR > 1.5 m.
3. Vulnerability varies by species distribution, temporal factors, & species life history.
Overall Conclusions:
Since passive models may significantly understate impacts, more complicated models should be considered.
AcknowledgementsContributors: Michelle Reynolds, Principal Investigator, USGS Pacific Island Ecosystem Research Center (PIERC); Curt Storlazzi, USGS Pacific Coastal and Marine Science Center; Karen Courtot and Crystal Krause, USGS PIERC; Jeff Hatfield, USGS Patuxent Wildlife Research Center; Jamie Carter, NOAA; Matt Stelmach and Tawn Speetjens, USFWS.
Contributing organizations: Papahānaumokuākea Marine National Monument; USGS-Deltares co-operative.
Funding sources: USGS National Climate Change and Wildlife Center, USGS PIERC, USFWS Pacific Islands Refuges Inventory and Monitoring
Report on-line: http://pubs.usgs.gov/of/2012/1182/