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Virginia Tech

The MEso-SCAle Particle Transport model (MESCAPT) for studying sediment dynamics during storms and tsunamis

Abstract

dc:description.abstract

Tsunamis and storms are the most devastating coastal hazards that can cause great loss of life and infrastructure damage. To assess tsunami and storm hazard, the magnitude and frequency of each type of event are needed. However, major tsunamis and storms are very infrequent, especially tsunamis, and the only reliable record is the deposits they leave behind. Tsunami and storm deposits can be used to calculate the magnitudes of the respective event, and to contribute to the hazard frequency where there is no historical records. Therefore, for locations where both events could occur, it is crucial to differentiate between the two types of events. Existing studies on the similarities and differences between the two types of deposits all suffer from paucity of the number of events and field data, and a wide range of initial conditions, and thus an unequivocal set of distinguishing deposit characteristics has not been identified yet. In this study, we aim to tackle the problem with the MEso-SCAle Particle Transport model (MESCAPT) that combines the advantages of concentration-based Eulerian methods and particle-based method. The advantage of the former is efficiency and the latter is detailed sediment transport and deposit information. Instead of modeling individual particles, we assume that a group of sediment grains travel and deposit together, which is called a meso-scale particle. This allows simulation domains that are large enough for tsunami and storm wave propagation and inundation. The sediment transport model is coupled with a hydrodynamic model based on the shallow water equations. Simulation results of a case study show good agreements with field measurements of deposits left behind by the 2004 Indian Ocean Tsunami. Idealized tsunami and storm case studies demonstrate the model's capabilities of reproducing morphological changes, as well as microscopic grain-size trends.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Geosciences
Department dc:contributor.department
Geosciences
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cheng, Wei
Chair dc:contributor.committeechair
  • Weiss, Robert
Committee members dc:contributor.committeemember
  • Romans, Brian W.
  • King, Scott D.
  • Stark, Nina
  • Diplas, Panayiotis

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:6743
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/64387

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Cheng, Wei. The MEso-SCAle Particle Transport model (MESCAPT) for studying sediment dynamics during storms and tsunamis. doctoral thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/64387