Date on Master's Thesis/Doctoral Dissertation

12-2024

Document Type

Master's Thesis

Degree Name

M. Eng.

Department

Civil and Environmental Engineering

Committee Chair

Mahoney, David Tyler

Committee Member

French, Mark

Committee Member

Sathitsuksanoh, Noppadon

Author's Keywords

headwater streams; hydrologic modeling; land disturbance; Robinson Forest; flash flooding; hydrology

Abstract

Flash floods are the costliest natural disaster in Appalachia. The goal of this study is to better understand flood response in headwater streams and the role of these systems in the generation of downstream floods. We applied a process-based hydrologic model using data from the Robinson Forest environmental monitoring network to estimate the contribution of headwaters to downstream floods. We then used the model to understand the effects of landscape disturbance in headwaters on downstream floods. Finally, we developed empirical hydrologic models to identify useful data for predicting downstream peak flood discharge. Results indicate that headwaters in our study catchment contribute 73% of volume to downstream floods on average, and landscape disturbances in headwaters can increase downstream flood volume and peak discharge, especially during high intensity storms. We find headwater discharge data is useful for prediction of downstream flash floods, thus we encourage researchers to increase monitoring in such systems.

Share

COinS