Abstract
The most accurate numerical model for simulating flood extents of rivers has long been a subject of debate. While specialized models exist for specific hydraulic features, we advocate for the principle that the best model is the one the user is familiar with, has adequate data to support input requirements and limitations, and will consistently employ. To support this approach, we have developed a database schema optimized to store riverine flood inundation model output files. This schema is designed to assist U.S. cities, counties, states, and other flood management agencies in leveraging their existing model-generated flood maps, regardless of the numerical model of choice. We have created an example database, viewable in a related web application, to showcase the potential of this schema. Flood scenarios generated from the rating curves in the database, including flood polygons and rasters generated from similar flows in their area of interest, can be visualized and connected to the National Water Model forecast. This information enables predictions of flood extents and depths, facilitating informed decision-making and the implementation of preventive measures to safeguard lives and property. To populate the database, we have acquired flood maps from various sources and numerical models, including the U.S. Army Corps of Engineers (USACE) and the Federal Highway Administration (FHWA). We have also established methods to extract model outputs and insert them into the database. By providing a centralized repository for flood model outputs and enabling their visualization, this database structure aims to improve the flood risk assessment, decision-making, and emergency response capabilities connected to the US National Water Model.
Degree
MS
College and Department
Ira A. Fulton College of Engineering; Civil and Environmental Engineering
Rights
https://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Oldham, Samuel Jay, "A Multi-Model and Multi-Agency Approach to Expand the Flood Inundation Mapping Capacity of the US National Water Center" (2025). Theses and Dissertations. 10683.
https://scholarsarchive.byu.edu/etd/10683
Date Submitted
2025-02-27
Document Type
Thesis
Handle
http://hdl.lib.byu.edu/1877/etd13519
Keywords
database, flood inundation mapping (FIM), streamflow modeling, HEC-RAS 2D, SRH-2D
Language
english
