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Computational Modeling of Midwest Flood 2008: Levee Breaching and Flood Propagation
In June, 2008, the Mississippi River in the Midwest USA experienced a high flood. More than 22 breached levees were observed along the Mississippi River, resulting in at least 24 fatalities in 51 counties of 5 states (Illinois, Missouri, Wisconsin, Iowa, and Minnesota). In order to study the flood impact on agriculture in the flood zones, the computational model, CCHE2D, was applied to simulate levee breaching and flood propagation in one reach of the Mississippi River near Canton City, Missouri. Due to the difficulty to obtain field data for such large scale problems, remote sensing was used to estimate the location, width and timing of breaching as well as distribution of Manning's resistance coefficients. The computational model was validated using experimental and field dam break flow data before applied to this case. A series of satellite imagery and several digital image processing techniques were used to identify the processes of flood wave propagation and inundation in the field for this study. Because levee breaching took a short time in comparison to the overall flooding process, levee breaching process was computed using a simplified model to enhance computing efficiency. A hybrid method to combine the explicit and implicit scheme based models was also developed and applied which greatly reduced the simulation time. The computation results have been compared with a series of digital imagery and it shows the simulation agreed well with what happened. The developed modeling system has a strong potential to be used for emergency management.
Computational Modeling of Midwest Flood 2008: Levee Breaching and Flood Propagation
In June, 2008, the Mississippi River in the Midwest USA experienced a high flood. More than 22 breached levees were observed along the Mississippi River, resulting in at least 24 fatalities in 51 counties of 5 states (Illinois, Missouri, Wisconsin, Iowa, and Minnesota). In order to study the flood impact on agriculture in the flood zones, the computational model, CCHE2D, was applied to simulate levee breaching and flood propagation in one reach of the Mississippi River near Canton City, Missouri. Due to the difficulty to obtain field data for such large scale problems, remote sensing was used to estimate the location, width and timing of breaching as well as distribution of Manning's resistance coefficients. The computational model was validated using experimental and field dam break flow data before applied to this case. A series of satellite imagery and several digital image processing techniques were used to identify the processes of flood wave propagation and inundation in the field for this study. Because levee breaching took a short time in comparison to the overall flooding process, levee breaching process was computed using a simplified model to enhance computing efficiency. A hybrid method to combine the explicit and implicit scheme based models was also developed and applied which greatly reduced the simulation time. The computation results have been compared with a series of digital imagery and it shows the simulation agreed well with what happened. The developed modeling system has a strong potential to be used for emergency management.
Computational Modeling of Midwest Flood 2008: Levee Breaching and Flood Propagation
Jia, Yafei (author) / Hossain, Azad (author) / Chao, Xiaobo (author)
World Environmental and Water Resources Congress 2010 ; 2010 ; Providence, Rhode Island, United States
2010-05-14
Conference paper
Electronic Resource
English
Computational Modeling of Midwest Flood 2008: Levee Breaching and Flood Propagation
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