The goal of this research was to determine the impact of a pooled and flat stepped spillway on energy losses. FLOW3D, which is a computational fluid dynamics (CFD) program, with mesh size of 0.015 mm was used for this purpose. First, the code was tested against an available experimental model data for both water flow depth and inception point position. The outcome precisely shows agreement with the available laboratory work. Second, the energy dissipation and residual head of two different types of stepped spillways, flat and pool was computationally compared. The results show that in a pooled stepped spillway, energy dissipation is larger than in a flat step. In addition, the residual head reduces for pooled stepped chutes.
The Sandy River (OR) is a costal tributary of the Columbia River and has a steep hydroshed 1316 square kilometers which is located on the western side of Mount Hood (elevation range 3 m to 1800 m). The system exhibits highly variable flow: Its average discharge is ~40 m 3 /s, and the highest recorded discharge was 1739 m 3 /s in 1964. In this study I model the geomorphic sensitivity of an 1800m reach located the downstream of the former Marmot Dam, which was removed in 2007. The hydro-geomorphic response to major flood has implications for system management and aquatic life. Studying hydro-geomorphic change requires a systematic approach. Here, I define flows and flood hydrographs for specified return interval based on the observed hydrologic record, and then examine potential hydro-geomorphic changes using a numerical model. A Pearson Type III distribution is used to calculate 100, 75, 50, 25, 10, The author is deeply thankful to God for providing energy and ability to finish this work. I am seriously indebted to my advisor, Professor David Jay for his supervision and skillful guidance and encouragement. Also, I would like to thank Assistant Professor, Stefan Talke who helped me as the second advisor and Saeed Moghimi , who served on my thesis committee. Also, I thank Mackenzie Keith for providing DEM data in the USGS office, Portland, Oregon. Finally, I owe my regards and thanks to Professor Yangdong Pan, in the Department of Environmental Science and Management.
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