Date of Award
2013
Document Type
Thesis
Degree Name
M.S. in Engineering Science
Department
Mechanical Engineering
First Advisor
Yan Ding
Second Advisor
Yan Ding
Third Advisor
Yafei Jia
Relational Format
dissertation/thesis
Abstract
During storm events in rivers and watersheds, the peak runoff may creates excess erosion and deposition in channels or river reaches and cause changes in flow characteristics and fluvial geomorphology. Severe sediment erosion such as in-stream sever bed and bank erosion or gullying can threaten the stability of in-stream hydraulic structures, river banks, levees, and underground utilities. On the other hand, large amounts of sediment deposition can significantly reduce the flow capacity of channel or reservoir and increases further possibility of flooding. Therefore, sediment control is generally required for rivers and watersheds conservation purposes to maintain stable flow systems in channels and river reaches. This study proposes an innovative optimization procedure to control sediment in alluvial rivers during extreme events based on the integration of sediment transport model with optimization approach. The aim of this study is to develop a decision making method which to minimize morphological changes in alluvial networks due to extreme events (e.g. floods and dam removals) under operational constraints so that the optimal sediment control can be achieved. The developed model combines an optimization module with a well-established one-dimensional model (CCHE1D) for simulating open channel flows and sediment transport in alluvial rivers. An adjoint sensitivity model for CCHE1D and an optimization algorithm are developed to search for the best solution of the optimal control action. The developed model will be applied to control morphological changes by diverting both sediment and water during flood or dam removal. It is believed that the developed tool will facilitate planning and management of sediment control.
Recommended Citation
Elgohry, Moustafa Abdelkader, "Sediment Control In Alluvial Rivers Using Simulation-Based Optimization" (2013). Electronic Theses and Dissertations. 437.
https://egrove.olemiss.edu/etd/437
Concentration/Emphasis
Emphasis: Computational Hydroscience