Numerical Perspective on Tsunami Hazards and Their Mitigation by Coastal Vegetation
dc.contributor.author | Marivela-Colmenarejo, Roberto | en |
dc.contributor.committeechair | Weiss, Robert | en |
dc.contributor.committeemember | Chapman, Martin C. | en |
dc.contributor.committeemember | Roy, Christopher J. | en |
dc.contributor.committeemember | King, Scott D. | en |
dc.contributor.committeemember | Stark, Nina | en |
dc.contributor.department | Geosciences | en |
dc.date.accessioned | 2017-06-03T08:00:15Z | en |
dc.date.available | 2017-06-03T08:00:15Z | en |
dc.date.issued | 2017-06-02 | en |
dc.description.abstract | Tsunamis are among the most threatening natural hazards that can affect coastal communities and infrastructures. In order to provide useful information for coastal protection, one of my aims in this dissertation is to identify the physical metrics that better represent the damage cause by tsunamis. I approach this problem by carrying out three-dimensional-SPH numerical simulations of solitary waves which allow to track spatial-temporal evolution of physical variables during their breaking. By comparing these evolutions it is possible to visualize the complex hydrodynamic process that occurs during breaking. Results show that the highest danger lies in the environment of the shoreline. However the highest vulnerability of coastal communities and infrastructures lies onshore where they find themselves more exposed to the destructive capacity of extreme tsunami waves. In this regard, the second main goal in this dissertation is to understand how coastal vegetation reduces and modifies the onshore wave inundation. I address this problem by using shallow water equations and Serre-Green-Naghdi equations employed in a set of two-dimensional depth-integrated simulations. Analysis of results indicate the existence of a transition zone located between where runup is not affected at all and where runup suffers the maximum reduction by the vegetation. This infers the requirement of a minimum length of the vegetated barrier in order to achieve the maximum runup reduction under a specific set properties such as barrier location, barrier width, beach slope and/or wave amplitude. Overall we conclude, after intense validation work, that numerical approaches are very convenient tools to analyze difficult wave processes. However it is necessary to be aware of the limitation of each numerical approach. | en |
dc.description.abstractgeneral | Tsunamis are long waves with large wave height that are mainly generated by ocean-based earthquakes. They can also be a consequence of other natural events such as landslides, intense volcanic activities, large storm floods or even asteroid impacts. Coastal communities tend to not consider these low-frequency threats and occupy large coastal areas and so they become very vulnerable to tsunamis. In this dissertation, two main goals are addressed: The first one is to identify where and when the highest dangerousness of the tsunamis occur so coastal habitants can avoid such areas. The second goal focuses on the flooding areas caused by tsunamis where onshore habitants are more vulnerable. We study how a natural element, such as coastal vegetation, affects, reduces and modifies the flooding due to tsunamis. Some design criteria are presented for the coastal vegetation to reduce the flooding to a maximum. | en |
dc.description.degree | Ph. D. | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:10225 | en |
dc.identifier.uri | http://hdl.handle.net/10919/77886 | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Tsunami | en |
dc.subject | Hazard | en |
dc.subject | SPH | en |
dc.subject | Vegetation | en |
dc.title | Numerical Perspective on Tsunami Hazards and Their Mitigation by Coastal Vegetation | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Geosciences | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Ph. D. | en |
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