ARC STORMSURGE: INTEGRATING HURRICANE STORM SURGE MODELING AND GIS

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1 ARC STORMSURGE: INTEGRATING HURRICANE STORM SURGE MODELING AND GIS Dr. Celso Ferreira Ferreira, Celso M., Francisco Olivera, and Jennifer L. Irish, 204. Arc StormSurge: Integrating Hurricane Storm Surge Modeling and GIS. Journal of the American Water Resources Association (JAWRA) 50(): DOI: 0./jawr.227 Assistant Professor, Department of Civil, Environment and Infrastructure Engineering, George Mason University ( Where Innovation Is Tradition

2 Hurricane Flooding Galveston, Texas 900 Hurricane 2

3 Why do we care? Hurricane Billion Dollars Katrina(2005) 33.8 Andrew(992) 40 Ike (2008) 27 Rita(2005) 7. Wilma(2005) 7. Charley (2004) 6.5 Ivan(2004) 5.4 3

4 Surge Generation Coastline Alongshore Surge Distribution Primary mechanisms: Wind setup: wind Wind setup U Low pressure: barometric pressure Δp Wave setup: breaking waves Wave setup 4

5 Storm Surge Modeling ADCIRC (Hydrodynamic Model) (Luettich and Westerink 2004) Physically based, finite element, two dimensional depth integrated shallow water model. SWAN (Wave model) (Booij et al. 999) 3 rd generation wave model that computes random, short crested windgenerated waves in coastal regions and inland waters. 5

6 Atmospheric Modeling Wind and Pressure model Meteorological Information NOAA Hurdat Ocean Weather Inc. Hurricane Track Central Pressure (Cp) Radius of storm (Rp) Forward Speed (Vf) Approach Angle (Θ)

7 High Performance Computing (HPC) High Performance Computing (HPC) Amazon cloud ($$$) Resources available trough XSEDE/NSF for scientists Eos Sattion) Stampede & Lonestar Janus Parallelization OpenMPI Scalable to up processors Simulation time Average wall clock time for 6 days simulation (storm duration):.500 hours ( million nodes mesh) hours (3.3 million nodes with waves) File storage Input: 5 GB Output: 00 GB 7

8 Why GIS? Visualization? Maybe, but: High Performance Computation Visualization tools Supercomputing Parallelized Direct data access Polar Vortex Breakdown Simulation. Author: Image courtesy of Sandia Labs. 8

9 Why GIS? Integrate the best available data Pre-processing and model setup Integrate science into public policy FEMA maps Risk analyses Damage estimation Integrate science into public safety Emergency and disaster management (preparation, mitigation, response, and recovery) 9

10 Arc StormSurge 0

11 Arc StormSurge Geodatamodel specifically designed to support hurricane storm surge modeling GIS tools to pre and post process hydrodynamics (ADCIRC) and waves (SWAN) models ArcGIS 0 functionality/toolbar Programmed in PYTHON (ArcPY, NumPY, SciPY), FORTRAN

12 Geodatamodel Components Coastal features Atmospheric features Finite Element Mesh Hydrodynamics / waves Model settings Hydraulic Parameters Model Results Flood Mapping Feature datasets (5) Relationship classes (7) Raster Catalogs (4) Table Sets (8) 2

13 Proposed Geodatamodel 3

14 GIS Tools Pre Processing Computational Mesh Geospatial parameters. Import Nodes 2. Import Boundary Nodes 3. Import Edges 4. Import Islands 5. Import Land Boundary 6. Update Bathymetry 7. Import Numerical methods parameters. Import Geospatial Parameters 2. Update Manning s N 3. Update Surface Canopy 4. Update Geoide Water Level Monitoring Stations. Import Monitoring Stations 2. Update Monitoring Stations Atmospheric inputs. Import Wind Field 2. Import Pressure Field 3. Create Storm Track 4. Create Eye Path 5. Create Storm Size 4

15 GIS Tools: Post Processing Import to GIS Functions Surface modeling. Read parallel computing domains 2. Import Water Levels TS 3. Import Current Velocity TS 4. Import Waves TS 5. Import Monitoring Stations TS data. Create Water Levels raster 2. Create Waves raster 3. Generate Max water level surface 4. Generate Max water depth surface 5. Generate Max velocity raster surface 6. Generate Max Waves raster surface Time series modeling. Generate water depth raster TS 2. Plot monitoring stations data 3. Plot user specified point TS data Flood Mapping. Extract Maximum current velocity 2. Extract Maximum water level 3. Extract Maximum Waves data 4. Delineate Flood Polygons 5. Plot water level cross sections 5

16 GIS Tools 6

17 Pre Processing: FE Mesh Editing Texas FEMA Mesh (provided by Dietrich) Nodes: 3,33,560 Elements: 6,633,623 Run time: ~5,000 hours (Hurricane Bret) East Coast Mesh (ECM200) Nodes: 254,565 Elements: 492,79 Run time: ~200 hours (Hurricane Bret) Corpus Christi Arc StormSurge Mesh (20) Nodes:,27,582 Elements: 2,523,296 Run time: ~,800 hours (Hurricane Bret) 7

18 Pre Processing: FE Mesh Editing 8

19 Pre Processing: FE Mesh Editing Surge (meters) Surge (meters) Surge (meters) Surge (meters) Surge (meters) Surge (meters) Texas mesh peak surge (m) Surge (meters) Surge (meters) Surge (meters) Recording Point #26.2 Texas mesh Create 0.9 recording Points within the study Arc StormSurge mesh 0.8 area ( Update Recording Points ) tool Recording Point #25 Texas mesh Arc StormSurge mesh Recording Point #23.6 Texas mesh Peak surge validation.4 on 22 recording points Arc StormSurge mesh.2 (Arc StormSurge mesh x Texas mesh) August 999 (UTM Day) August 999 (UTM.6 Day) August 999 (UTM Day) 2.5 Recording Point #22 Texas mesh Arc StormSurge mesh 2.5 Recording Point #2.4 Texas mesh Arc StormSurge mesh Recording Point #9 Texas mesh Arc StormSurge mesh August 999 (UTM Day) Recording Point #8 Texas mesh Arc StormSurge mesh August 999 (UTM Day) August 999 (UTM Day) Recording Point #7 Arc StormSurge mesh peak Recording surge (m) Point # Texas mesh Arc StormSurge mesh R 2 = 0.96 & RMSE 0.05 m Texas mesh Arc StormSurge mesh August 999 (UTM Day) August 999 (UTM Day) August 999 (UTM Day) 9

20 Pre Processing: Frictional Parameters Land Cover Parameter Raster Finite Element Mesh Updated geospatial input Lookup Table Area Average Using Thiessen Polygons SurfaceCanopy < value >= 0, &, & n n (a i SC) a t n a i (a i SC) a t n a i <

21 Pre Processing: Frictional Parameters Ferreira, C. M., J. L. Irish, and F. Olivera (204), Uncertainty in hurricane surge simulation due to land cover specification, J. Geophys. Res. Oceans, 9, , doi:0.002/203jc

22 Visualizing Storm Surge Time Model Finite aware element results animations in mesh Arc Scene in 3D 22

23 Coastal Flooding mapping Automated Flooded areas delineation: a) Map wet/dry areas b) Water depth c) Flood plain delineation Flooded areas classification: a) Flood Zone automated classification: Wave threshold Velocity threshold Model variables spatial maps: a) Velocities b) Water depths c) Waves heights 23

24 Outreach: Web based Hurricane Storm Surge Viewer 24

25 GeoDesign & Science Getways Flood Maps and Restoration Projects ArcStormSurge Modeling GIS based web tools for GeoDesign Community Interaction 25

26 Future Work Update to ArcGIS 0. Develop Geoprocessing services Terrain datasets for large mesh handling Provide user friendly version It could be easily adapted to work with other hurricane models.

27 Questions? 27

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