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Development and Application of an Operational Software Tool for
Assessment of Flood Inundation
Jamie Dyer, Ph.D.
Mississippi State University Department of Geosciences
Project Overview/Members • NGI funding to MSU and LMRFC.
– Funded by Northern Gulf Institute.
– Project in Years 4 and 5 of the initial NGI award.
• Jan 2009 – Dec 2011.
• $430,000 over the two years.
• Mississippi State University
– Philip Amburn
– Jamie Dyer
– Song Zhang
– Robert Moorhead
– Derek Irby
– John van der Zwaag
– Jibonananda Sanyal
• Lower Mississippi River Forecast Center
– David Reed
– David Welch
– Jeff Graschel
– David Ramirez
– Katelyn Costanza
Goals and Motivation
• Motivation:
– Need for better (i.e., more efficient and robust) tools to assist operational river forecasters in evaluating hydrologic and hydraulic properties of river discharge.
– Need for a platform for rapid assessment and interpretation of hydraulic model output (single run and ensemble).
– Need for an improved real-time inundation mapping framework to support flood forecast operations.
• Goal:
– Development of visual analytic tools and methods to enable scientists and forecasters to better interpret and distribute hydrologic information.
The Role of Scientific Visualization
• Why visualize? The end determines the need…
– “I see”
• Individual analysis and technical assessment of data.
• High complexity, minimal description.
– “We see”
• Data assessment and discussion by small groups of experts.
• Moderate complexity, moderate description.
– “They see”
• Dissemination of information to broad audience.
• Low complexity, maximum description.
• More than just pretty pictures!
– Data analysis and presentation are enhanced through selective use of visualization and diagnostic tools.
4
• Problem: Operational forecasting of complex river systems requires hydraulic routing simulations.
• Solution: NOAA has selected Hydrologic Engineering Centers River Analysis System (HEC-RAS). – 1-D routing model that incorporates conservation of mass and momentum
when determining flow. – Can more easily build geo-referenced hydraulic models.
• Problem: More detailed model requires higher-level visual analytics for model
assessment. • Solution: Dedicated set of visualization and analysis tools.
– Interactively exploring data (“I see”), which includes model validation. – Describing the extent and/or potential of flooding (“We see”).
• Problem: Storm surge and rapid flood wave propagation requires real-time
analysis and decision-making support. • Solution: Customizable map and graph generation with batch capabilities.
– Relaying information to emergency managers and general public (“They see”).
– Increased efficiency through batch generation of visualizations.
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FloodViz – Design Approach
• Better to build a new, custom application rather than adapt existing visualization package.
– FloodViz written at MSU built on open-source packages.
– Dedicated development team with guidance and testing from expert users.
• Foundational software:
– Qt
– Boost
– OpenGL
– Mesa
• Linux OS (32-bit) is primary target to be compatible with AWIPS.
– MS Windows port has not been done, but possible.
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FloodViz – Development
– gdal
• proj4
• Shapelib
– ImageMagick
FloodViz – Block Diagram
FloodViz
Plan viewer
HEC-RAS
Geometric data - river system schematic - cross section data - reach lengths - stream junction information - Manning’s n-values - ineffective flow areas - levees - blocked obstructions
Hydraulic structure data - bridges, culverts, spillways, storage areas, lateral weirs, inline weirs, etc…
DEM -Lidar -buildings Imagery
- satellite - aerial
3D viewer
HEC-RAS output files
X-section viewer
Profile viewer Flow data - initial conditions - boundary conditions - lateral/uniform inflows - stream junction information
DLG (shape files) - roads - Political boundaries
• Multiple visualization formats (static and animated) for data analysis:
– Plan view.
– 3D view.
– Cross-section view.
– Profile view.
• Supports multiple data types for robust and flexible applications:
– HEC-RAS output.
– Digital elevation models (DEM).
– Geo-referenced imagery.
– Shape files (roads, boundaries, etc.).
• Interactive and batch modes of operation:
– Increases dissemination speed and efficiency.
8
FloodViz – Capabilities
• Plan view:
– Rapid assessment of inundation.
– Overview of model domain characteristics and limitations.
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FloodViz – 2D (plan) View
• Cross-section and profile views:
– Bread and butter of operational hydrologic forecasting.
– Interactive scaling and zooming functions.
– Plan view and cross-section view linked.
Cross-Section view Profile view
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FloodViz – Graphing
• Multiple views with interactive capabilities:
– Numerous instances of views open at once.
– Interaction between view types.
– Flexible viewing environment and layout.
• Dockable windows, multiple views, splitter windows.
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FloodViz – Multiple Views
• Version 1.0 available for 32-bit Linux OS.
– Developed under MAC OS, but no current Windows version.
• Further funding necessary for continued development.
– 64-bit version would solve many limitations.
• Currently being used/tested at:
– LMRFC: Pascagoula River.
– OHC: Potomac River.
– Plans for release at WGRFC.
– Riverside Technology, Inc.: Istanbul, Turkey FEWS
• Remaining questions:
– Further testing and validation of georeferencing and model data representation (especially in 3D view).
– Honest assessment of status for research and/or operations.
• Is the capability in FloodViz needed? What else is needed?
FloodViz – Current Status
Inundation Maps / Verification
HEC-RAS output vs. ELCIRC VIMS model of Hurricane Isabel
Potomac River at Alexandria, VA – Sept 20, 2003
Inundation Maps / Verification
HEC-RAS output: 3D view vs. aerial image
Potomac River at Alexandria, VA – Sept 20, 2003
Next Steps and Applications
• Inclusion in a decision support system along with other models and analysis tools:
– Storm surge simulations.
– Additional hydrologic and hydraulic routing models.
– Inclusion of meteorological and surface fields in plan and 3D views. • Precipitation, evaporation, soil moisture, etc.
• Assessment of river and bank modifications to inundation. – Inclusion or changes to engineering structures.
– Natural processes.
• Assessment of inundation changes due to climate variability. – Impact of changes in streamflow, vegetation, etc.
– Ability to compare model output, ensemble simulations, before/after scenarios, probability maps, etc.
Thank you!
Any questions?