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Numerical modeling of hydraulic sort...
~
Copeland, Ronald Robert.
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Numerical modeling of hydraulic sorting and armoring in alluvial rivers.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Numerical modeling of hydraulic sorting and armoring in alluvial rivers./
作者:
Copeland, Ronald Robert.
面頁冊數:
303 p.
附註:
Source: Dissertation Abstracts International, Volume: 54-07, Section: B, page: 3745.
Contained By:
Dissertation Abstracts International54-07B.
標題:
Engineering, Civil. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9334588
Numerical modeling of hydraulic sorting and armoring in alluvial rivers.
Copeland, Ronald Robert.
Numerical modeling of hydraulic sorting and armoring in alluvial rivers.
- 303 p.
Source: Dissertation Abstracts International, Volume: 54-07, Section: B, page: 3745.
Thesis (Ph.D.)--The University of Iowa, 1993.
The primary objective of the present research was to develop and test a physically based hydraulic sorting and armoring algorithm for numerical sedimentation models. Laboratory and field observations relative to armoring and hydraulic sorting processes were reviewed. Existing conceptual models of armoring and hydraulic sorting used in numerical sedimentation models were examined.Subjects--Topical Terms:
783781
Engineering, Civil.
Numerical modeling of hydraulic sorting and armoring in alluvial rivers.
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Source: Dissertation Abstracts International, Volume: 54-07, Section: B, page: 3745.
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Thesis (Ph.D.)--The University of Iowa, 1993.
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The primary objective of the present research was to develop and test a physically based hydraulic sorting and armoring algorithm for numerical sedimentation models. Laboratory and field observations relative to armoring and hydraulic sorting processes were reviewed. Existing conceptual models of armoring and hydraulic sorting used in numerical sedimentation models were examined.
520
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The algorithm developed as a result of this research is applicable to both sand- and gravel-bed rivers. This required a variable mixing-layer thickness to allow for the development of a coarse surface layer in gravel-bed rivers, and to allow for sufficient mixing depths to supply the sediment deficit in sand-bed rivers. Critical elements incorporated into the new algorithm include: thickness of the active layer; the effectiveness of a developing coarse surface layer in shielding the subsurface layer and regulating exchange with the water column; and the stability of the cover layer with increases in flow intensity.
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The new algorithm was tested using laboratory flume data from prior studies. These flume studies were conducted to study armoring, and had no sediment inflow. The numerical model was also tested using data from two sand- and gravel-bed streams that had experienced historical aggradation and degradation trends. These were the San Lorenzo River in California, and the Waimea River in Hawaii. The model was also tested using data from the Missouri River downstream from Gavins Point Dam, a primarily sand-bed stream that has a historical degradation trend.
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The new algorithm was successful in producing reasonable simulations in all five test cases. However, each case study required some adjustment to input parameters. No single sediment transport equation was found to work adequately on all types of rivers. Engineering judgement is still an essential part of any application of numerical sedimentation models.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9334588
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