Louisiana’s Comprehensive Master Plan for a Sustainable Coast: 2012 Update Karim Belhadjali – Coastal Protection and Restoration Authority Builds on Other Efforts 2 Linking Back to Master Plan Objectives 1. Reduce economic losses from storm-based flooding 2. Promote a sustainable coastal ecosystem by harnessing natural system processes 3. Provide habitats suitable to support an array of commercial and recreational activities coastwide 4. Sustain Louisiana’s unique heritage and culture 5. Provide a viable working coast to support industry. Key Components of 2012 Update • Specific & Realistic Goals & Objectives • Prioritized Project List • Map showing the selected projects and what they provide: • Levels of risk reduction • Levels of ecosystem services across the coast • Extent and character of future landscape • Detailed Implementation plan with: • Schedule, Costs, Expected sources of funding • Adaptive Management plan to guide implementation 4 Elements of 2012 Master Plan with Building Blocks for Other Efforts Project Team & Collaborative Effort 6 Master Plan Delivery Team Coastal Scientists Planners Engineers Social Scientists 7 Review and Coordination CPRA Coastal Protection and Restoration Authority Master Plan Delivery Team Prioritization Tool Technical Advisory Committee Project Effects Models Technical Advisory Committee Cultural Heritage Technical Advisory Committee Modeling Workgroups Science & Engineering Board (MP-SEB) Framework Development Team (FDT) Stakeholders Technical Advisory Committee Members Project-Effects Models • • • • Steve Ashby, USACE Eng. Res. Dev. Center John Callaway, University of San Francisco Fred Sklar, South Florida Water Mgmt. District Si Simenstad, University of Washington Prioritization Tool TAC • John Boland, John Hopkins • Ben Hobbs, John Hopkins • Len Shabman, Virginia Tech Cultural Heritage TAC • Don Davis, Louisiana State University • Carl Brasseaux, University of Louisiana Lafayette • Maida Owens, LA Dept. of Cultural, Recreation, Tourism 9 National Science and Engineering Board Independent Technical Review Ecosystem Science / Coastal Ecology • William Dennison, University of Maryland • Edward Houde, University of Maryland • Katherine Ewell, University of Florida Engineering • Robert Dalrymple, Johns Hopkins University • Jos Dijkman, Deltares Geosciences • Charles Groat, University of Texas at Austin Social Science and Risk • Greg Baecher, University of Maryland • Philip Berke, University of North Carolina – Chapel Hill Climate Change • Virginia Burkett, U.S. Geological Survey Environmental/Natural Resource Economics • Edward Barbier, University of Wyoming 10 Framework Development TeamOver 30 Federal, State, NGO, Academic, Community, and Industry Organizations 11 Predictive Models Overview Predictive Modeling Team • CPRA Team Leads – Mandy Green (Planning) – Carol Parsons-Richards (LACES) • Technical Lead – Dr. Denise Reed (UNO) • Technical Coordination – Alaina Owens (Brown and Caldwell) • 7 Model Teams • Over 50 Experts Predictive Models Workgroups Predictive Model Eco-hydrology Workgroup Leader + Members Dr. Ehab Meselhe, ULL + 9 members Vegetation Wetland Morphology Barrier Island Morphology Upper Trophic Level Storm Surge Dr. Jenneke Visser, ULL + 8 members Dr. Greg Steyer, USGS + 6 members Dr. Mark Kulp, UNO + 6 members Dr. Andy Nyman, LSU + 8 members Dr. Joe Suhayda/Arcadis, + 3 members Storm Damage/Risk Dr. Jordan Fischbach, RAND + 7 members Data Integration Craig Conzelmann and USGS team Technical Advisory Committee (TAC) Predictive Models • Dr. Steve Ashby, USACE - Engineer Research and Development Center • Dr. John Callaway, University of San Francisco • Dr. Fred Sklar, South Florida Water Mgmt. District • Dr. Si Simenstad, University of Washington Predictive Models Overview • Eco-Hydrology • Mass-balance box model • Output – 16 variables • stage, salinity, sediment, water quality • Wetland Morphology • 4 submodels - changes in the landscape • Output – land change, fragmentation, elevation, SOC • Barrier Shoreline Morphology • Changes in tidal inlet area, location, area, and elevation • Vegetation • Probability of death / establishment of 21 vegetation classes, per salinity, inundation Predictive Models (cont’d.) • Upper Trophic Level • Habitat Suitability Indices • 14 species and 1 functional group • Storm Surge and Wave • Coarsened AdCirc grid (used by USACE) • Use output from wetland /barrier morphology and vegetation to modify grid points • Output – storm surge and wave elevation • Risk Assessment (damage) • Surge elevation, value of assets (commercial, residential, infrastructure, strategic assets) • Output – flood depths and resulting residual damages ($) • Data Integration • File naming, automations, model linkages and data transfer Modeling in a Systems Context Data Integration Stage, Salinity, Water Quality Stage, Salinity EcoHydrology Stage Land Configuration, Elevation Stage, Salinity Sediment Land Configuration, Elevation Wetland Morphology Dominant Vegetation Vegetation Island Configuration Barrier Island Morphology Land Configuration, Elevation Dominant Vegetation Dominant Vegetation Surge Upper Trophic Habitat Suitability Index Damage Surge, Waves Surge, Waves Damage, $ 20 Modeling in a Systems Context Data Integration Stage, Salinity, Water Quality Stage, Salinity EcoHydrology Stage Land Configuration, Elevation Stage, Salinity Sediment Land Configuration, Elevation Wetland Morphology Dominant Vegetation Vegetation Island Configuration Barrier Island Morphology Land Configuration, Elevation Dominant Vegetation Dominant Vegetation Surge Upper Trophic Habitat Suitability Index Damage Surge, Waves Surge, Waves Damage, $ 21 1. INPUTS Wind speed & direction Water depth Salinity Water temp Land area Gulf stage Gulf salinity Gulf nutrients Air temp Riv discharge Riv sediment Riv nutrients Diversion flows Atmospheric deposition Rainfall Evapotrans 1. OUTPUTS Stage Salinity Water temp Sed retention Accretion Total Kjeldahl N Tidal prism Nitrate + nitrite Ammonium N Dissolved org N Total P Dissolved org P Dissolved inorg P Chlorophyll a Detritus Residence time N removal rate 2. INPUTS Land/water Land change rates Elevation Avg band 5 Reflectance Eustatic SLR Subsidence Compaction Freshwater input Sed supply Bulk density, %OM, %mineral Accretion & elev Salinity Inundation Marsh type & dominant species SURRGO Soils 2. OUTPUTS Land change Fragmentation Elevation Soil Org C 4. INPUTS Vegetation Distribution Land area/ distribution Elevation Water level Salinity Nitrogen 4. OUTPUTS % of each vegetation class in each cell Inputs, Outputs 1. EcoHydrology 2. Wetland Morphology 3. Barrier Morphology 3. INPUTS Historical shoreline & bathymetry Tidal inlet configuration Sediment character LiDAR elev Land area distribution & elev Waves & surge Water elev & tidal velocity at inlets 3. OUTPUTS Barrier area & geometry Inlet config Shoreline position 5. INPUTS Water depth & fluctuation Salinity; Water temp TSS ; Dissolved O Chlorophyll a Marsh edge; % open water % emergent veg (by type) River nutrients Island surface area & distance % submerged substrate covered by emergent veg Water depth in wooded wetlands % area within 3 km (< 9 ppt salinity & depth 1-30 cm) % area (1-12 cm deep) % area within 10 km (1-12 cm deep) % cultch cover on bottom Similarity index around the cell 4. Vegetation 5. Upper Trophic 6. Surge 7. Damage 6. INPUTS Land area distribution & elev % of each vegetation class Barrier island geometry Inlet config Shoreline position 6. OUTPUTS Surge hydrographs Waves 7. INPUTS Surge hydrographs Waves Protection system inputs 5. OUTPUTS Habitat Suitability Indices for 15 species: Crawfish Alligator Largemouth bass Mottled duck Gadwall Green-wing teal River otter Muskrat White shrimp Brown shrimp Oyster Spotted sea trout Roseate spoonbill Neotropical migrants Black drum 7. OUTPUTS Residential risk/damage Modeling Status and Next Steps • All of the modules are running • FWOA in progress • Production mode • On-going technical oversight (TAC) • Assessment of model uncertainty • USACE model certification 2012 Master Plan Outputs • Maps showing ranges of Master Plan outcomes • Levels of flood protection • Levels of ecosystem services • Extent and character of landscape • Adaptive management plan to guide implementation • • • • • Maps of near-term projects Maps of potential future project Schedule Costs Expected sources of funding Questions? For more information, send an e-mail to MasterPlan@la.gov or go to coastalmasterplan.la.gov 27 Uncertainty Analysis 1) Sea level rise 2) Subsidence 3) Marsh collapse threshold 4) Storm frequency and intensity 5) River discharge 6) Rainfall 7) Evapo-transpiration 8) Nutrients Ecosystem Modules Bathy-topo outcomes Surge/Wave Module 9) Demographics 10) Induced development 11) Drainage performance 12) Structural system fragility 13) Effectiveness of nonstructural measures Flood Damage Module Ecosystem service outcomes Flood damage outcomes 14) Project costs 15) Project time to completion 16) Available funding 16 uncertainties identified by modeling groups Prioritization Tool 28 Seven Modules: Overview of Project-Effects Models Eco-Hydrology Team Ehab Meselhe Team Lead, Chenier Plain Model Alex McCorquodale Pontchartrain and Barataria Model Jonathan Hird and Jeff Sheldon Terrebonne and Atchafalaya Models Stokka Brown Technical Support 30 Barrier Shoreline Team Mark Kulp Team Lead Ioannis Georgiou Barrier Shoreline and Tidal Inlet Morphology and Dynamics Dallon Weathers Barrier Shoreline Morphology, Dynamics Zoe Hughes Barrier and Tidal Inlet Morphology and Dynamics Duncan FitzGerald Tidal Inlet Morphology and Dynamic Abby Sallenger Barrier Shoreline Elevation Morphology and Dynamics Darin Lee Scientific input and internal review 31 Wetlands Morphology Team Greg Steyer Brady Couvillion Hongqing Wang Craig Fischenich John Rybczyk • • • • • • • • • • Lead Wetland productivity Model Development (w/Bill Sleavin) Landscape Trend Analysis Input Data (w/Nadine Trahan and Holly Beck) Model Development (programming, modification, calibration and validation) Hydrodynamic and depositional processes Erosional processes Linkage with barrier islands and/or storm surge Relative elevation models (model modification, parameters/coefficients w/G. Holm and B. Perez) Organic matter/nutrient/bulk density contributions Hyper-temporal rate examination Inundation pattern assessment/RSLR Yvonne Allen • • • Ron Boustany • Organic matter/nutrient/bulk density contributions Vegetation Team Jenneke Visser Team Lead Scott Duke-Sylvester Algorithm development and implementation Whitney Broussard Algorithm development and implementation Jacoby Carter Algorithm development and implementation Hongqing Wang Algorithm development and data exchange with other modules Mark Hester Scientific input and internal review Ken Krauss Scientific input and internal review Rebecca Howard Scientific input and internal review Charles Sasser Scientific input and internal review 33 Higher Trophic Level Team Andy Nyman, Team Lead • American alligator • muskrat • river otter Don Baltz • • • • Michael Kaller • largemouth bass Paul Leberg • • • • • Robert Romaire • wild-caught crawfish Tom Soniat • Eastern oyster Craig Conzelmann & USGSTeam • Model coding black drum speckled trout brown shrimp white shrimp gadwall green-winged teal mottled duck neotropical migrants roseate spoonbill 34 Surge / Wave Team Joseph Suhayda Team Lead, Advisor Hugh Roberts Surge modeling John Atkinson Surge modeling Ryan Clark Technical support 35 Risk Assessment Team Joseph Suhayda Team Lead, Advisor Jordan Fischbach Modeling, risk assessment lead David Ortiz Modeling, risk assessment advisor Nicholas Burger Team Member Matthew Hoover Team Member David Johnson Team Member Jordan Ostwald Team Member Benjamin Bryant Team Member 36