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Gradually Varied Unsteady Flow
Unsteady flow analysis begins with an input hydrograph and examines the hydrograph's progress through a reservoir or river. This chapter focuses on momentum, given that the acceleration or deacceleration of mass is involved. It begins with an overview of the continuity and momentum equations and then examines methods beginning with simple continuity‐based approaches and progress toward incorporating momentum equation components. The chapter looks first at hydrologic routing, which did not consider momentum effects. It examines approaches based only on the continuity equation. The chapter considers the kinematic wave, the diffusion analogy, and then proceeds to some full dynamic solutions. The diffusion analogy's practical contribution is to provide a way to parameterize the Muskingum–Cunge river routing model without the requirement to collect observed input–output data.
Gradually Varied Unsteady Flow
Unsteady flow analysis begins with an input hydrograph and examines the hydrograph's progress through a reservoir or river. This chapter focuses on momentum, given that the acceleration or deacceleration of mass is involved. It begins with an overview of the continuity and momentum equations and then examines methods beginning with simple continuity‐based approaches and progress toward incorporating momentum equation components. The chapter looks first at hydrologic routing, which did not consider momentum effects. It examines approaches based only on the continuity equation. The chapter considers the kinematic wave, the diffusion analogy, and then proceeds to some full dynamic solutions. The diffusion analogy's practical contribution is to provide a way to parameterize the Muskingum–Cunge river routing model without the requirement to collect observed input–output data.
Gradually Varied Unsteady Flow
Tollner, Ernest W. (author)
Open Channel Design ; 185-212
2021-09-17
28 pages
Article/Chapter (Book)
Electronic Resource
English
Springer Verlag | 2008
|Springer Verlag | 2022
|COMPUTATION OF GRADUALLY VARIED FLOW
Springer Verlag | 2022
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