| Popis: |
This thesis presents the development and application of a multidimensional (2-D & 1-D) river flow model in the discontinuous Galerkin framework for simulating overland flow and runoff due to rain events within the Ohio River watershed. The purpose of this work is to improve on the forecasting of stage height and discharge on the Ohio River --- the largest tributary, by volume, of the Mississippi River in the United States. This forecasting tool makes use of the 2-D kinematic wave equations for overland flow caused by the rainfall events occurring over the Ohio River watershed and the 1-D kinematic wave equation for approximating stage height and discharge in the Ohio River. We highlight some of the challenges involved in modeling the various rainfall-runoff processes. Furthermore, we discuss the various data sets incorporated into the model, such as detailed cross-sectional data for the Ohio River obtained from the US Army Corps of Engineers, topographic data generated from NASA's Shuttle Radar Topography Mission (SRTM), and land use/land cover data from the US Geologic Survey. The model is verified against a set of analytic test cases and validated in a series of hindcasts that make use of historical rainfall and river gauge data. |
