Effect of Subsidence Styles and Fractional Diffusion Exponents on Depositional Fluvial Profiles Vaughan Voller: NCED, Civil Engineering, University of.

Slides:



Advertisements
Similar presentations
FEA Course Lecture V – Outline
Advertisements

Total & Specific Energy
Voller Comminution: Linking the blast furnace to the production of loess. Vaughan R. Voller What is Comminution From Wikipedia: Comminution is one of the.
Example: Uniform Flow at Known Q and y
ON WIDTH VARIATIONS IN RIVER MEANDERS Luca Solari 1 & Giovanni Seminara 2 1 Department of Civil Engineering, University of Firenze 2 Department of Environmental.
Non-local behavior in Geomorphology: Vaughan R Voller, NCED Summer Institute, 4:30-6:00 pm, August 19, 2009 Objectives -- Define anomalous.
Kinematic Routing Model and its Parameters Definition.
Topographic Maps.
Moving Boundaries in Earthscapes Damien T. Kawakami, V.R. Voller, C. Paola, G. Parker, J. B. Swenson NSF-STC
National Center for Earth-surface Dynamics Modeling physical and ecological dynamics of channel systems that shape Earth’s surface Moving boundary problems.
National Center for Earth-surface Dynamics Modeling physical and ecological dynamics of channel systems that shape Earth’s surface Moving boundary problems.
~0.5 m Computational grid size Process ~5 mm REV Modeling Microsegregation In Metal Alloys – Vaughan Voller, University of Minnesota 1 of 14 Can we build.
Validation and Verification of Moving Boundary Models of Land Building Processes Vaughan R. Voller National Center for Earth-surface Dynamics Civil Engineering,
MECH 221 FLUID MECHANICS (Fall 06/07) Chapter 9: FLOWS IN PIPE
Mathematical Models of Sediment Transport Systems
An attempt to provide a physical interpretation of fractional transport in heterogeneous domains Vaughan Voller Department of Civil Engineering and NCED.
ASSESSING THE STRENGTH OF THE REGRESSION MODEL. Assessing the Model’s Strength Although the best straight line through a set of points may have been found.
An Enthalpy—Level-set Method Vaughan R Voller, University of Minnesota + + speed def. Single Domain Enthalpy (1947) Heat source A Problem of Interest—
Can a fractional derivative diffusion equation model Laboratory scale fluvial transport Vaughan Voller * and Chris Paola Confusion on the incline * Responsible.
National Center for Earth-surface Dynamics an NSF Science and Technology Center MOVING BOUNDARY PROBLEMS ON THE EARTHS SURFACE V.R. Voller+,
Non-local Transport in Channel Networks Vaughan Voller Civil Engineering University of Minnesota Tetsuji Muto, Wonsuck Kim, Gary Parker, John Swenson,
If there is no change in friction or slope as we move down stream
~0.5 m ~ 50  m solid ~5 mm Computational grid size ProcessREV representative ½ arm space sub-grid model g A Microsegregation Model – Vaughan Voller, University.
NUMERIC SOLUTIONS OF THERMAL PROBLEMS GOVERNED BY FRACTIONAL DIFFUSION V.R. Voller, D.P Zielinski Department of Civil Engineering, University of Minnesota,
Suspended Load Above certain critical shear stress conditions, sediment particles are maintained in suspension by the exchange of momentum from the fluid.
Correlation and Regression
Correlation and Regression
Correlation and Regression David Young Department of Statistics and Modelling Science, University of Strathclyde Royal Hospital for Sick Children, Yorkhill.
Hydraulic Routing in Rivers
The Power Function Studies of stream length and drainage basins determined an empirical relationship : L = 1.4 A 0.6 where L is stream length and A is.
MEASURING FLUMES By CH. VENKATARAMAIAH.
Hydraulics for Hydrographers Basic Hydrodynamics
Response of river systems to tectonic deformation Chris Paola* St Anthony Falls Lab University of Minnesota * On behalf of the experimental stratigraphy.
An evaluation of HotSpot-3.0 block-based temperature model
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 6 Normal Probability Distributions 6-1 Review and Preview 6-2 The Standard Normal.
Mass Transfer Coefficient
Distributed Flow Routing Surface Water Hydrology, Spring 2005 Reading: 9.1, 9.2, 10.1, 10.2 Venkatesh Merwade, Center for Research in Water Resources.
Copyright © 2010 Pearson Education, Inc Chapter Seventeen Correlation and Regression.
Chapter 8: Flow in Pipes.
SOME NOTES ON MORPHODYNAMIC MODELING OF VENICE LAGOON Gary Parker, Spring, 2004 Venice Lagoon was formed by the action of deposition of mud and sand from.
Hydraulic Routing in Rivers Reference: HEC-RAS Hydraulic Reference Manual, Version 4.1, Chapters 1 and 2 Reading: HEC-RAS Manual pp. 2-1 to 2-12 Applied.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 12 Testing for Relationships Tests of linear relationships –Correlation 2 continuous.
9.2 Linear Regression Key Concepts: –Residuals –Least Squares Criterion –Regression Line –Using a Regression Equation to Make Predictions.
Bradshaw Model. Upstream Downstream Discharge Occupied channel width Channel depth Average velocity Load quantity Load particle size Channel bed roughness.
National Center for Earth-surface Dynamics an NSF Science and Technology Center V.R. Voller+, J. B. Swenson*, W. Kim+ and C. Paola+ +
We have been looking at how the valley changes downstream.
CE 3354 Engineering Hydrology Lecture 21: Groundwater Hydrology Concepts – Part 1 1.
ONE-DIMENSIONAL ANALYSIS ON BEDEVOLUTION ACCOMPANING BANK EROSION Satoru Nakanishi Hokkaido University Graduate School Kazuyoshi Hasegawa Hokkaido University.
1 A unified description of ripples and dunes in rivers 5 m Douglas Jerolmack, Geophysics, MIT; With David Mohrig and Brandon McElroy.
Fick’s Law The exact interpretation of neutron transport in heterogeneous domains is so complex. Assumptions and approximations. Simplified approaches.
Nuclear Reactors, BAU, 1st Semester, (Saed Dababneh).
Environmental Hydrodynamics Lab. Yonsei University, KOREA RCEM D finite element modeling of bed elevation change in a curved channel S.-U. Choi,
Fluvial Geomorphology Environmental Hydrology Lecture 20.
Statistical Methods. 2 Concepts and Notations Sample unit – the basic landscape unit at which we wish to establish the presence/absence of the species.
Basic Review - continued tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
Pipe flow analysis.
III. Statistics and chi-square How do you know if your data fits your hypothesis? (3:1, 9:3:3:1, etc.) For example, suppose you get the following data.
Basic Review continued tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
Basic Review tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
What is the Bradshaw model?
Basics Of Topographic Maps. Topographic Maps (Contour Maps or Relief Maps) Two dimensional model of the Earth’s surface that represents 3-D world Show.
Hamdache Abderrazaq 1*, Belkacem Mohamed 1, Hannoun Nourredine 2
Investigating Cloud Inhomogeneity using CRM simulations.
Direction and Non Linearity in Non-local Diffusion Transport Models
Morphodynamic and Sediment Tracers in One-Dimension
Understanding Standards Event Higher Statistics Award
Gradual, Incremental Hillslope Transport:
Changes in a river from source to mouth
Presentation transcript:

Effect of Subsidence Styles and Fractional Diffusion Exponents on Depositional Fluvial Profiles Vaughan Voller: NCED, Civil Engineering, University of Minnesota Liz Hajek: NCED, Geosciences, Pennsylvania State University Chris Paola: NCED, Geology and Geophysics, University of Minnesota

Objective: Model Fluvial Profiles in an Experimental Earth Scape Facility --flux sediment deposit subsidence In long cross-section, through sediment deposit Our aim is to predict steady state shape and height of sediment surface above sea level for given sediment flux and subsidence

sediment deposit subsidence One model is to assume that transport of sediment at a point is proportional to local slope -- a diffusion model In Exner balance This predicts a surface with a significant amount of curvature

--flux BUT -- experimental slopes tend to be much “flatter” than those predicted with a diffusion model Hypothesis: The curvature anomaly is due to “Non-Locality” Referred to as “Curvature Anomaly ”

A possible Non-local model: sediment flux at a point x at an instant in time is proportional to the slope at a time varying distance up or down stream of x up down Two parameters: “locality weighting” “direction weighting” (balance of up to down stream non-locality) up-stream only down-stream only 1

~3m YY In experiment surface made up of transient channels with a wide range of length scales Assumption flux in any channel (j) crossing Y—Y Is “controlled” by slope at current down-stream channel head --a NON-LOCAL MODEL with Consider the following conceptua l model Y Y max channel length

Y Y Consider the following conceptua l model Y Y representative Flux across at x is then a weighed sum of the current down-stream slopes of the n channels crossing Y-Y flux across a small section controlled by slope at channel head max channel length Unroll

i-1 i i+1 i+n-1 i+n-2 x A Finite Difference Form Flux at x is weighted sum of down-stream slopes Provides a finite difference form for Exner With appropriate power law weights Recovers right-hand Caputo Fractional Derivative Order and Weight channels by down-stream distance from x

So with non-local channel model problem to solve is alpha close to 1 moves to single local weight at x Smaller alpha more uniform dist. of weights

Shows that a small value of alpha (non-locality) will reduce curvature and get closer to the behavior Seen in experiment Use the finite difference solution of

A little more analysis: A general linear subsidence problem Analytical solution sediment subsidence rate/2 With negative sub. rate slope Can get negative curvature For alpha<1 With positive sub. rate slope Much harder to “flatten profile” By decreasing alpha Other “flattening models” e.g., non-linear diff No Negative curvature

Conclusions * A non-local channel concept has lead to a fraction diffusion sediment deposition model * With locality factor alpha ~0.25 (1 is local) model comes close to matching “flatness” of XES * But the non-local model introduces additional degrees of freedom-- this makes it easier to fit * The conceptual model helps BUT we still do not know how to independently determine the value of the locality factor alpha or direction factor beta * The theoretical appearance of a negative curvature for a negative sloping subsidence (not seen in other models) suggests a experiment that may go a long way to validating our proposed non-local deposition model