Agent-based Models in Flood Simulation - A Case Study for New Brunswick’s Flooding Events in 2018

dc.contributor.advisorStefanakis, Emmanuel
dc.contributor.authorZhu, Wenxuan
dc.contributor.committeememberYang, Hongzhou
dc.date2023-11
dc.date.accessioned2023-09-13T15:40:04Z
dc.date.available2023-09-13T15:40:04Z
dc.date.issued2023-09-06
dc.description.abstractThis thesis introduces an Agent-Based Modeling (ABM) framework for flood simulation and inversion modeling in flood-prone areas, aiming to improve our understanding of the complex dynamics of flooding and provide valuable insights for flood management. The developed model incorporates multi-source terrain datasets, and integrates water flow and meteorological conditions from remote sensing data sources. It takes into account factors such as precipitation patterns, geographical features, and Digital Elevation Model (DEM) resolution to accurately represent flood characteristics. The model's parameter settings are derived from extensive experimentation, allowing for effective control and meaningful results. By considering the impact of precipitation and the presence of rivers, the model demonstrates its ability to simulate flood inundation with a reasonable level of accuracy. Overall, this comprehensive model provides a valuable tool for flood simulation and offers insights into flood dynamics for effective flood management and mitigation strategies.
dc.identifier.citationZhu, W. (2023). Agent-based models in flood simulation - a case study for New Brunswick’s flooding events in 2018 (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttps://hdl.handle.net/1880/116988
dc.language.isoen
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectGeographic Information Science
dc.subjectAgent-Based Modeling
dc.subjectFlooding Simulation
dc.subject.classificationGeotechnology
dc.titleAgent-based Models in Flood Simulation - A Case Study for New Brunswick’s Flooding Events in 2018
dc.typemaster thesis
thesis.degree.disciplineEngineering – Geomatics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accesssetbystudentI do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.
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