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Alper Durmus, CAIT Graduate Research Assistant & PhD Student
Quang Nguyen, CAIT Graduate Research Assistant & PhD Student
Marcus Z. McGrath, NCCHE Graduate Research Assistant & PhD Student
Mustafa S. Altinakar, Research Professor and Director NCCHE
Waheed Uddin, Professor of Civil Engineering and Director CAIT
The University of Mississippi
Presented at the 94th Annual Meeting of The Transportation Research Board
Washington, DC
January 13, 2015
Numerical Modeling and Simulation of Extreme
Flood Inundation to Assess Vulnerability of
Transportation Infrastructure Assets
NCCHE
2
Dr. Waheed Uddin, PI
Professor and Director CAIT
http://www.olemiss.edu/projects/cait/ncitec/
NCITEC Project 2012-25: Disaster Protection of
Transport Infrastructure and Mobility Using Flood
Risk Modeling and Geospatial Visualization
2
Sardis Downstream, 2013
The University of Mississippi, USA
Dr. Mutafa Altinakar, Co-PI
Professor and Director NCCHE
www.ncche.olemiss.edu/
2
NCITEC - National Center for Intermodal Transportation for Economic Competitiveness
33
 Identify and implement computational and
geospatial visualization technologies for extreme
flood simulations and flood risk mapping.
 Implement geospatial planimetric technology for
extraction of built infrastructure features.
 Use advanced geospatial analysis to extract 3D
features of transportation infrastructure.
 Enhance decision support systems for bridge and
highway infrastructure protection from extreme
weather related natural disasters such as floods.
Project Objectives
NCCHE
4
Damage To Roadways And Bridges
 Catastrophic failures of built infrastructure and damages to
roads and bridges due to extreme flood events require flood
vulnerability assessment.
4
NCCHE
5 NCCHE
6
• About 60% of all disasters costing one billion dollars or more in the
United States were related to weather.
• Extreme weather events are occurring at an increasing frequency as
experienced by devastating floods in recent years on the East Coast.
• Extreme weather events caused $208 billion of economic cost in the
United States with more than 1,200 casualties between 2011 & 2013.
• 2005 Hurricane Katrina disaster on Louisiana and Mississippi Gulf
Coast resulted in more than $100 billion in infrastructure and
economic costs.
• Critical transportation infrastructure assets are under a continuous
risk of flood hazards and subject to significant damage, such as
washing away of pavements and bridges.
Background and Motivation
NCCHE
7
Objectives
• Remote sensing and geospatial technologies for modeling and
visualization of terrain and built infrastructure
• Simulation of extreme flood inundation using 2D numerical
modeling and flood risk mapping
• Assessment of extreme flood impacts on critical transportation
infrastructure assets
 This study addresses the National Center for Intermodal
Transportation for Economic Competitiveness (NCITEC) theme
of efficient, safe, secure, and sustainable national intermodal
transportation network being resilient to disasters.
NCCHE
8
Failure Analysis: Roadways and Bridges
 Over 200 bridges washed away during 2011 Hurricane Irene on
the East coast
 Extreme damage on the New Jersey coast during 2012 Hurricane
Sandy
8
NCCHE
9
Lewis County Bridge in Oregon
www.oregonlive.com
9
NCCHE
10
Failure Analysis: Roadways and Bridges
Hurricane Irene
Disaster, 2011
Pelican Island
Bridge. 2005
10
NCCHE
11
Failure Analysis: Roadways and Bridges
11
Hurricane Katrina Disaster, 2005
Mississippi and Louisiana Coasts
NCCHE
Mississippi Gulf Coast
Bridge photos Credit:
Mississippi DOT
12
Flood Inundation Simulation Research Methodology
Traditional one-dimensional (1-D) models are inadequate and do not
handle mixed flow regimes.
In this study, a 2-D numerical flood modeling software CCHE2D-
FLOOD is implemented by the National Center for Computational
Hydroscience and Engineering (NCCHE).
Research Methodology
1. Select study sites in Mississippi.
2. Acquire high-resolution 2 ft (61 cm) imagery for 2-D feature
extraction using GeoMedia Pro/ArcGIS geospatial software.
3. Create planimetrics and coordinates of river centerline (CL), cross-
sections, highways, rail lines and other built infrastructure assets.
4. Setup geospatial domain for flood simulation software CCHE2D-
FLOOD and DSS-WISE.
NCCHE
13
6. Run extreme flood simulations for high-resolution bare ground
digital elevation model (DEM).
7. Analyze flood simulation outputs for floodwater vectors and
hydrodynamic forces at river CL and cross-sections.
6. Run flood simulations again after incorporating 3D models of
highways, rail, airport, and selected buildings.
7. Compare the flood depths and inundations using simulation results
for 10m, 5m, 3m cell size resolutions.
8. Use floodwater simulation results for structural integrity assessment
of bridges and pavements.
 This approach can be implemented with any off-the-shelf
geospatial software and NCCHE Flood simulation software.
Research Methodology (continued)
NCCHE
14
Who is already using DSS-WISE ?
DSS-WISE and CCHE2D-FLOOD users:
• U.S. Department of Homeland Security Dams Sector
• U.S. Army Corps of Engineers (USACE) Headquarters,
Washington D.C.
• USACE-ERDC (Engineer Research and Development Center),
Vicksburg, MS, Military Hydrology Group
• USACE-MMC (Modeling Mapping and Consequence)
• USACE Vicksburg District
• Mississippi Department of Environmental Quality
15
Numerical Modeling and Simulation of Flood Inundation
CCHE2D-FLOOD modeling software has following features:
• Uses finite volume discretization and shock capturing scheme to
solve conservative form of full dynamic 2-D shallow water flow
equations.
• Based on multi-core, multi-threaded parallel programming to
increase speed.
• Handles mixed flow regimes, disconnected flow domain, and wetting
and drying.
• Generates spatial maps of (1) flood depth, (2) flood arrival time, and
(3) flow velocity vectors.
• Captures shocks, handles mixed flow regimes and wetting and
drying. Also, handles discontinuous flow domains.
NCCHE
National Center for Computational
Hydroscience and Engineering
The University of
Mississippi
NCITEC Workshop
Extreme Flood Inundation Mapping and Risk Modeling of Transportation Infrastructure Assets
Friday, December, 2014 / NCCHE Conference Room, Brevard Hall Room 319
Preliminary identification of Candidate Study Sites
Area near Tunica, MS
Area near Sardis, MS
Pilot Site
Area near Greenville, MS
Area near Oxford, MS
Selected study areas are in the State of
Mississippi, and they have roads, bridges,
residential areas and rural areas.
Testbed No. 4
Testbed No. 1
Testbed No. 2
Testbed No. 3
17,038 Bridges
NCCHE
Mississippi
CAIT / NCCHE
Sardis Site
17
Tallahatchie River CL Downstream at Sardis Pilot Study Site
NCCHE
US-51 Bridge
Rail
I-55
Panola County Airport
Observation
Point
18
River Downstream CL and Cross-Sections with I-55, Rail and Airport Features
NCCHE
US-51
19
• Absolute accuracy of elevation of 1.55 m
• Relative accuracy of elevation of 0.81 m
• Based on LIDAR topographic data used by the U.S. Geological
Survey (USGS) for the pilot study site
• 20,580 meters west-east by 17,260 meters north-south,
corresponding to 2,058 columns and 1,726 rows of 10 m by 10 m
size cells (which corresponds to a total of 3,552,108 cells)
DEM Used in Flood Inundation Simulation
NCCHE
The simulation initiated when the water level was at the top
of the levees and it reached its final shape after 0.44 hour.
Typical flood inundation simulation from the start point to
the west end of the simulation domain was 48 hours.
30 m 10 m
5 m 3 m
Maximum
Flood Depth
Hmax (m)
NCCHE20
21
Visualization of First Flood Inundation Simulation, and Calculated
Flood Depth at Selected Feature Locations along River CL
(10m Cell)
Maximum Flood Depth
Feature Number
Hwy 315
Hwy 35
Infrastructure Feature
CAIT / NCCHE
Sardis Site
NCCHE
22
Impacts of Simulated Flood Inundation
NCCHE
From Start
US-51 Highway Bridge Over Tallahatchie River
near Sardis Pilot Study Site
NCCHE23
Bridge photo and data credit: Mississippi DOT Bridge Division
24
The flood simulation with the 3m DEM shows floodwater flow
3m above the I-55 highway. The local scour around the 10 ft-
diameter I-55 bridge piers in the main channel is estimated as
17.30 ft. Unless the pier foundations are sufficiently deep and/or
appropriate local scour prevention measures are taken, the
bridge may be at risk due to excessive scour.
A detailed structural integrity analysis of US-51 highway
concrete bridge model considered the overturning floodwater
moment from horizontal floodwater forces and the
corresponding moment of resistance by the concrete girders.
The results show the most critical condition when the Factor of
Safety (FS) approaches about 1.0 for the floodwater level at
the top of the concrete girders.
Structural Integrity Analysis of Highway Bridges
NCCHE24
25
Conclusions
Extreme Food simulation was performed for Sardis pilot study area and
results were presented in terms of flood propagation, flood inundation
depth, floodwater velocity and flood arrival time. Simulation results
showed that:
• Total area of 31 sq miles (80 km2) was inundated.
• Total of 24 bridges and 4 buildings were affected by the simulated
flood inundation.
• Floodwater depth at infrastructure locations reached 40 ft (12 m).
• Selected transportation assets were completely inundated with
standing floodwater up to 36 ft (11 m) above the feature.
• The floodwater overflowed as much as 13–16 ft (4–5 m) above
major roads and airfield.
• 2.6 miles of I-55, 4.9 miles of Rail, 2.9 miles of US-51, 10.6 miles
Highway 35 and 3.3 miles of Highway 315 were inundated by the
• simulated flood.
* Structural integrity: I-55 bridge US-51 Bridge
NCCHE
26
3-D Feature Extraction for
Visualization of Flood Inundation
Conclusion
Credit: IAVOGeospheric/GeoGenesis Software

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Flood Disaster Risk Mapping to Assess Impacts on Transportation Infrastructure Assets

  • 1. Alper Durmus, CAIT Graduate Research Assistant & PhD Student Quang Nguyen, CAIT Graduate Research Assistant & PhD Student Marcus Z. McGrath, NCCHE Graduate Research Assistant & PhD Student Mustafa S. Altinakar, Research Professor and Director NCCHE Waheed Uddin, Professor of Civil Engineering and Director CAIT The University of Mississippi Presented at the 94th Annual Meeting of The Transportation Research Board Washington, DC January 13, 2015 Numerical Modeling and Simulation of Extreme Flood Inundation to Assess Vulnerability of Transportation Infrastructure Assets NCCHE
  • 2. 2 Dr. Waheed Uddin, PI Professor and Director CAIT http://www.olemiss.edu/projects/cait/ncitec/ NCITEC Project 2012-25: Disaster Protection of Transport Infrastructure and Mobility Using Flood Risk Modeling and Geospatial Visualization 2 Sardis Downstream, 2013 The University of Mississippi, USA Dr. Mutafa Altinakar, Co-PI Professor and Director NCCHE www.ncche.olemiss.edu/ 2 NCITEC - National Center for Intermodal Transportation for Economic Competitiveness
  • 3. 33  Identify and implement computational and geospatial visualization technologies for extreme flood simulations and flood risk mapping.  Implement geospatial planimetric technology for extraction of built infrastructure features.  Use advanced geospatial analysis to extract 3D features of transportation infrastructure.  Enhance decision support systems for bridge and highway infrastructure protection from extreme weather related natural disasters such as floods. Project Objectives NCCHE
  • 4. 4 Damage To Roadways And Bridges  Catastrophic failures of built infrastructure and damages to roads and bridges due to extreme flood events require flood vulnerability assessment. 4 NCCHE
  • 6. 6 • About 60% of all disasters costing one billion dollars or more in the United States were related to weather. • Extreme weather events are occurring at an increasing frequency as experienced by devastating floods in recent years on the East Coast. • Extreme weather events caused $208 billion of economic cost in the United States with more than 1,200 casualties between 2011 & 2013. • 2005 Hurricane Katrina disaster on Louisiana and Mississippi Gulf Coast resulted in more than $100 billion in infrastructure and economic costs. • Critical transportation infrastructure assets are under a continuous risk of flood hazards and subject to significant damage, such as washing away of pavements and bridges. Background and Motivation NCCHE
  • 7. 7 Objectives • Remote sensing and geospatial technologies for modeling and visualization of terrain and built infrastructure • Simulation of extreme flood inundation using 2D numerical modeling and flood risk mapping • Assessment of extreme flood impacts on critical transportation infrastructure assets  This study addresses the National Center for Intermodal Transportation for Economic Competitiveness (NCITEC) theme of efficient, safe, secure, and sustainable national intermodal transportation network being resilient to disasters. NCCHE
  • 8. 8 Failure Analysis: Roadways and Bridges  Over 200 bridges washed away during 2011 Hurricane Irene on the East coast  Extreme damage on the New Jersey coast during 2012 Hurricane Sandy 8 NCCHE
  • 9. 9 Lewis County Bridge in Oregon www.oregonlive.com 9 NCCHE
  • 10. 10 Failure Analysis: Roadways and Bridges Hurricane Irene Disaster, 2011 Pelican Island Bridge. 2005 10 NCCHE
  • 11. 11 Failure Analysis: Roadways and Bridges 11 Hurricane Katrina Disaster, 2005 Mississippi and Louisiana Coasts NCCHE Mississippi Gulf Coast Bridge photos Credit: Mississippi DOT
  • 12. 12 Flood Inundation Simulation Research Methodology Traditional one-dimensional (1-D) models are inadequate and do not handle mixed flow regimes. In this study, a 2-D numerical flood modeling software CCHE2D- FLOOD is implemented by the National Center for Computational Hydroscience and Engineering (NCCHE). Research Methodology 1. Select study sites in Mississippi. 2. Acquire high-resolution 2 ft (61 cm) imagery for 2-D feature extraction using GeoMedia Pro/ArcGIS geospatial software. 3. Create planimetrics and coordinates of river centerline (CL), cross- sections, highways, rail lines and other built infrastructure assets. 4. Setup geospatial domain for flood simulation software CCHE2D- FLOOD and DSS-WISE. NCCHE
  • 13. 13 6. Run extreme flood simulations for high-resolution bare ground digital elevation model (DEM). 7. Analyze flood simulation outputs for floodwater vectors and hydrodynamic forces at river CL and cross-sections. 6. Run flood simulations again after incorporating 3D models of highways, rail, airport, and selected buildings. 7. Compare the flood depths and inundations using simulation results for 10m, 5m, 3m cell size resolutions. 8. Use floodwater simulation results for structural integrity assessment of bridges and pavements.  This approach can be implemented with any off-the-shelf geospatial software and NCCHE Flood simulation software. Research Methodology (continued) NCCHE
  • 14. 14 Who is already using DSS-WISE ? DSS-WISE and CCHE2D-FLOOD users: • U.S. Department of Homeland Security Dams Sector • U.S. Army Corps of Engineers (USACE) Headquarters, Washington D.C. • USACE-ERDC (Engineer Research and Development Center), Vicksburg, MS, Military Hydrology Group • USACE-MMC (Modeling Mapping and Consequence) • USACE Vicksburg District • Mississippi Department of Environmental Quality
  • 15. 15 Numerical Modeling and Simulation of Flood Inundation CCHE2D-FLOOD modeling software has following features: • Uses finite volume discretization and shock capturing scheme to solve conservative form of full dynamic 2-D shallow water flow equations. • Based on multi-core, multi-threaded parallel programming to increase speed. • Handles mixed flow regimes, disconnected flow domain, and wetting and drying. • Generates spatial maps of (1) flood depth, (2) flood arrival time, and (3) flow velocity vectors. • Captures shocks, handles mixed flow regimes and wetting and drying. Also, handles discontinuous flow domains. NCCHE
  • 16. National Center for Computational Hydroscience and Engineering The University of Mississippi NCITEC Workshop Extreme Flood Inundation Mapping and Risk Modeling of Transportation Infrastructure Assets Friday, December, 2014 / NCCHE Conference Room, Brevard Hall Room 319 Preliminary identification of Candidate Study Sites Area near Tunica, MS Area near Sardis, MS Pilot Site Area near Greenville, MS Area near Oxford, MS Selected study areas are in the State of Mississippi, and they have roads, bridges, residential areas and rural areas. Testbed No. 4 Testbed No. 1 Testbed No. 2 Testbed No. 3 17,038 Bridges NCCHE Mississippi
  • 17. CAIT / NCCHE Sardis Site 17 Tallahatchie River CL Downstream at Sardis Pilot Study Site NCCHE US-51 Bridge
  • 18. Rail I-55 Panola County Airport Observation Point 18 River Downstream CL and Cross-Sections with I-55, Rail and Airport Features NCCHE US-51
  • 19. 19 • Absolute accuracy of elevation of 1.55 m • Relative accuracy of elevation of 0.81 m • Based on LIDAR topographic data used by the U.S. Geological Survey (USGS) for the pilot study site • 20,580 meters west-east by 17,260 meters north-south, corresponding to 2,058 columns and 1,726 rows of 10 m by 10 m size cells (which corresponds to a total of 3,552,108 cells) DEM Used in Flood Inundation Simulation NCCHE The simulation initiated when the water level was at the top of the levees and it reached its final shape after 0.44 hour. Typical flood inundation simulation from the start point to the west end of the simulation domain was 48 hours.
  • 20. 30 m 10 m 5 m 3 m Maximum Flood Depth Hmax (m) NCCHE20
  • 21. 21 Visualization of First Flood Inundation Simulation, and Calculated Flood Depth at Selected Feature Locations along River CL (10m Cell) Maximum Flood Depth Feature Number Hwy 315 Hwy 35 Infrastructure Feature CAIT / NCCHE Sardis Site NCCHE
  • 22. 22 Impacts of Simulated Flood Inundation NCCHE From Start
  • 23. US-51 Highway Bridge Over Tallahatchie River near Sardis Pilot Study Site NCCHE23 Bridge photo and data credit: Mississippi DOT Bridge Division
  • 24. 24 The flood simulation with the 3m DEM shows floodwater flow 3m above the I-55 highway. The local scour around the 10 ft- diameter I-55 bridge piers in the main channel is estimated as 17.30 ft. Unless the pier foundations are sufficiently deep and/or appropriate local scour prevention measures are taken, the bridge may be at risk due to excessive scour. A detailed structural integrity analysis of US-51 highway concrete bridge model considered the overturning floodwater moment from horizontal floodwater forces and the corresponding moment of resistance by the concrete girders. The results show the most critical condition when the Factor of Safety (FS) approaches about 1.0 for the floodwater level at the top of the concrete girders. Structural Integrity Analysis of Highway Bridges NCCHE24
  • 25. 25 Conclusions Extreme Food simulation was performed for Sardis pilot study area and results were presented in terms of flood propagation, flood inundation depth, floodwater velocity and flood arrival time. Simulation results showed that: • Total area of 31 sq miles (80 km2) was inundated. • Total of 24 bridges and 4 buildings were affected by the simulated flood inundation. • Floodwater depth at infrastructure locations reached 40 ft (12 m). • Selected transportation assets were completely inundated with standing floodwater up to 36 ft (11 m) above the feature. • The floodwater overflowed as much as 13–16 ft (4–5 m) above major roads and airfield. • 2.6 miles of I-55, 4.9 miles of Rail, 2.9 miles of US-51, 10.6 miles Highway 35 and 3.3 miles of Highway 315 were inundated by the • simulated flood. * Structural integrity: I-55 bridge US-51 Bridge NCCHE
  • 26. 26 3-D Feature Extraction for Visualization of Flood Inundation Conclusion Credit: IAVOGeospheric/GeoGenesis Software