Main content

Advancing Flood Flow Prediction Models for Ungauged Basins

Show full item record

Title: Advancing Flood Flow Prediction Models for Ungauged Basins
Author: Walton, Rachel
Department: School of Engineering
Program: Engineering
Advisor: Gharabaghi, Bahram
Abstract: Predicting peak flows at ungauged basins has been a notable focus in water resources research, however the majority of methods are only appropriate for a small area, cannot be translated to other jurisdictions, or require variables that are difficult to measure or obtain. Through the analysis of over 7000 stream gauges from the USA, this work presents a simple, unified equation to predict return period peak flows, incorporating influential and easy to obtain input variables. Two novel variables are introduced: the Land Use Soil (LUS) factor and the 2 – year return precipitation effect (PE2). The equation achieved an R2 of 0.95, 0.83 and 0.86 on the training, testing and southern Ontario data sets, respectively, demonstrating high predictive capabilities. This research presents a logical method for predicting return period peak flows while advancing insight on the implications of land use, soil and precipitation on the magnitude of peak flows.
Date: 2018-06
Terms of Use: All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.

Files in this item

Files Size Format View
Walton_Rachel_201808_MASc.pdf 4.792Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record