EP030
New Approaches in Sediment Transport
Session ID#: 78923
Session Description:
Following Wolman and Miller (1960), we presume that frequent moderate magnitude flow-energy events are more effective at transporting sediment than rare events of large magnitude. Even if significant changes to landscapes are caused by large magnitude events, we expect reworking back to ‘equilibrium conditions’ during the moderate higher-frequency events. This concept is reflected in current sediment transport theory that considers equilibrium conditions, and relies on energy being normally distributed. Yet, there are differences in magnitude-frequency relationships and relaxation times at different scales, and between different geomorphic settings, where energy is not normally distributed. Thus, larger magnitude events may leave permanent imprints with non-existent recovery. We invite contributions based on theory, experiments, mathematical modeling, and modern and ancient data, which examine how the magnitude and frequency of energy affects sediment transport processes, preservation of alluvium, and how the distributions of energy may evolve in differing settings with respect to climate change.
Index Terms:
1807 Climate impacts [HYDROLOGY]
1824 Geomorphology: general [HYDROLOGY]
1861 Sedimentation [HYDROLOGY]
1862 Sediment transport [HYDROLOGY]
Primary Convener: Eric Prokocki, University of Texas at Austin, Geological Sciences, Austin, TX, United States
Convener: Piret Plink-Bjorklund, Colorado School of Mines, Golden, CO, United States
Primary Liaison: Eric Prokocki, University of Texas at Austin, Geological Sciences, Austin, TX, United States
Long-term Water-sediment Multi-objectives Regulation of Cascade Reservoirs: A Case Study in the Upper Yellow River, China (497812)
Wenting Jin1, Jianxia Chang1, Yimin Wang1 and Tao Bai2, (1)Xi'an University of Technology, Xi'an, China, (2)Xi'an University of Technology, School of Water Resources and Hydropower, Xi'an, China
Grain Size-Specific Engelund-Hansen Type Relation for Bed Material Load in Sand-bed Rivers, with Application to the Mississippi River (501246)
Chenge An1,2, Zheng Gong1, Kensuke Naito3, Gary Parker4, Marwan A Hassan2, Hongbo Ma5 and Xudong Fu1, (1)Tsinghua University, Beijing, China, (2)University of British Columbia, Vancouver, BC, Canada, (3)Universidad De Ingenieria Y Tecnologia, Centro de Investigacion y Tecnologia del Agua - CITA, Lima, Peru, (4)University of Illinois at Urbana Champaign, Urbana, IL, United States, (5)Rice University, Earth, Environmental and Planetary Sciences, Houston, TX, United States
A Data-driven Approach to Predict Sediment Settling Velocity (503023)
Zhendong Cao1, Phillip J. Wolfram Jr1, Joel C Rowland1, Yu Zhang2 and Donatella Pasqualini1, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Los Alamos, United States
Three-dimensional resolution of bedload transport with binocular computer vision (503980)
James Kevin Pierce, University of British Columbia, Vancouver, BC, Canada, Rui L Ferreira, Instituto Superior Tecnico, Lisboa, Portugal and Marwan A Hassan, Univ British Columbia, Vancouver, BC, Canada
Analytical Solution for the Power-Law Advective Slowdown of Bedload Tracer Transport (542425)
Zi Wu1, Arvind Singh1, Xudong Fu2 and Guangqian Wang2, (1)University of Central Florida, Department of Civil, Environmental & Construction, Orlando, FL, United States, (2)Tsinghua University, Department of Hydraulic Engineering, Beijing, China
The mean-field model for alluvial river channel geometry: it's not wrong, even if it's boring (584776)
Douglas J Jerolmack, University of Pennsylvania, Mechanical Engineering and Applied Mechanics, Philadelphia, PA, United States; University of Pennsylvania, Department of Earth & Environmental Science, Philadelphia, PA, United States
Bankfull Channel Adjustments to Episodic and Long-Term Changes in Sediment Supply (627460)
Frank J Magilligan1, Carl E Renshaw2 and Evan Dethier1, (1)Dartmouth College, Hanover, NH, United States, (2)Dartmouth College, Department of Earth Sciences & Thayer School of Engineering, Hanover, NH, United States
A Helmholtz Free Energy Description of Incipient Motion (632282)
Brandon J Dillon, Virginia Tech, Civil and Environmental Engineering, Blacksburg, VA, United States and Kyle Strom, Virginia Tech, Civil Engineering, Blacksburg, VA, United States