Computer Simulation of Sand Ripple Growth and Migration.

Similar documents
Using a Near-Bed Sediment Flux Sensor to Measure Wave Formed Bedform Migrations and Formation Processes

Mine Burial Studies with a Large Oscillating Water-Sediment Tunnel (LOWST)

Shelf And Slope Sediment Transport In Strataform

Report Documentation Page

Assimilation of Synthetic-Aperture Radar Data into Navy Wave Prediction Models

Contract No. N C0123

SW06 Shallow Water Acoustics Experiment Data Analysis

Crowd Behavior Modeling in COMBAT XXI

Coastal Mixing and Optics

Modeling of Coastal Ocean Flow Fields

Strataform Plume Study

Use of Wijsman's Theorem for the Ratio of Maximal Invariant Densities in Signal Detection Applications

Flocculation, Optics and Turbulence in the Community Sediment Transport Model System: Application of OASIS Results

The Mechanics of Bubble Growth and Rise in Sediments

Report Documentation Page

Quantitation and Ratio Determination of Uranium Isotopes in Water and Soil Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

PIPS 3.0. Pamela G. Posey NRL Code 7322 Stennis Space Center, MS Phone: Fax:

Modeling the Impact of Extreme Events on Margin Sedimentation

Super-Parameterization of Boundary Layer Roll Vortices in Tropical Cyclone Models

Sand Ripple Dynamics on the Inner Shelf

Two-Dimensional Simulation of Truckee River Hydrodynamics

High Resolution Surface Characterization from Marine Radar Measurements

A report (dated September 20, 2011) on. scientific research carried out under Grant: FA

Diagonal Representation of Certain Matrices

Understanding Near-Surface and In-cloud Turbulent Fluxes in the Coastal Stratocumulus-topped Boundary Layers

Swash Zone Dynamics: Modeling and Data Analysis

Scattering of Internal Gravity Waves at Finite Topography

Ocean Acoustics Turbulence Study

Range-Dependent Acoustic Propagation in Shallow Water with Elastic Bottom Effects

Real-Time Environmental Information Network and Analysis System (REINAS)

Super-Parameterization of Boundary Layer Roll Vortices in Tropical Cyclone Models

Internal Tide Generation in the Indonesian Seas

Sediment Flux and Trapping on the Skagit Tidal Flats

Attribution Concepts for Sub-meter Resolution Ground Physics Models

DIRECTIONAL WAVE SPECTRA USING NORMAL SPREADING FUNCTION

P. Kestener and A. Arneodo. Laboratoire de Physique Ecole Normale Supérieure de Lyon 46, allée d Italie Lyon cedex 07, FRANCE

Closed-form and Numerical Reverberation and Propagation: Inclusion of Convergence Effects

Marginal Sea - Open Ocean Exchange

REGENERATION OF SPENT ADSORBENTS USING ADVANCED OXIDATION (PREPRINT)

Determining the Stratification of Exchange Flows in Sea Straits

Improvement of Mesoscale Numerical Weather Prediction For Coastal Regions of Complex Terrain FY2003

Margin Morphodynamics: Debris Flows, Turbidity Currents and Experimental Margin Stratigraphy

CRS Report for Congress

Coupled Ocean-Atmosphere Modeling of the Coastal Zone

Internal Waves and Mixing in the Aegean Sea

Optimizing Robotic Team Performance with Probabilistic Model Checking

An Observational and Modeling Study of Air-Sea Fluxes at Very High Wind Speeds

Predicting Tropical Cyclone Formation and Structure Change

LAGRANGIAN MEASUREMENTS OF EDDY CHARACTERISTICS IN THE CALIFORNIA CURRENT

Topographic Effects on Stratified Flows

FRACTAL CONCEPTS AND THE ANALYSIS OF ATMOSPHERIC PROCESSES

Coastal Engineering Technical Note

Analysis of Infrared Measurements of Microbreaking and Whitecaps

Analysis Comparison between CFD and FEA of an Idealized Concept V- Hull Floor Configuration in Two Dimensions. Dr. Bijan Khatib-Shahidi & Rob E.

ONR Subsequent Mine Burial Experiments FY03 Final Report

Improved Parameterizations Of Nonlinear Four Wave Interactions For Application In Operational Wave Prediction Models

Estimation of Vertical Distributions of Water Vapor from Spaceborne Observations of Scattered Sunlight

Estimation of Vertical Distributions of Water Vapor and Aerosols from Spaceborne Observations of Scattered Sunlight

Characterization of Caribbean Meso-Scale Eddies

Sediment Acoustics. Award #: N Thrust Category: High-Frequency LONG-TERM GOAL

Analysis of Mixing and Dynamics Associated with the Dissolution of Hurricane-Induced Cold Wakes

Thermo-Kinetic Model of Burning for Polymeric Materials

A 1/10th Degree Global Ocean Simulation Using the Parallel Ocean Program

System Reliability Simulation and Optimization by Component Reliability Allocation

Award # N LONG TERM GOALS

HYCOM Caspian Sea Modeling. Part I: An Overview of the Model and Coastal Upwelling. Naval Research Laboratory, Stennis Space Center, USA

SENSORS FOR MEASURING THE VOLUME SCATTERING FUNCTION OF OCEANIC WATERS

Report Documentation Page

Predictive Model for Archaeological Resources. Marine Corps Base Quantico, Virginia John Haynes Jesse Bellavance

Using Static and Dynamic Penetrometers to Measure Sea Bed Properties

Metrology Experiment for Engineering Students: Platinum Resistance Temperature Detector

Grant Number: N IP To compare obtained theoretical results with NPAL experimental data.

Award Number N

The Extratropical Transition of Tropical Cyclones

Rogue Wave Statistics and Dynamics Using Large-Scale Direct Simulations

Advanced Numerical Methods for NWP Models

Surface Fluxes and Wind-Wave Interactions in Weak Wind Conditions

Report Documentation Page

Hurricane Wave Topography and Directional Wave Spectra in Near Real-Time

On Applying Point-Interval Logic to Criminal Forensics

Broadband matched-field source localization in the East China Sea*

Testing Turbulence Closure Models Against Oceanic Turbulence Measurements

High-Fidelity Computational Simulation of Nonlinear Fluid- Structure Interaction Problems

Parameterizing the Effects of Upper-Ocean Large Eddies on Air-Sea Interaction

An Examination of 3D Environmental Variability on Broadband Acoustic Propagation Near the Mid-Atlantic Bight

Sensitivity of West Florida Shelf Simulations to Initial and Boundary Conditions Provided by HYCOM Data-Assimilative Ocean Hindcasts

Coastal Ocean Circulation Experiment off Senegal (COCES)

EFFECTS OF LOCAL METEOROLOGICAL VARIABILITY ON SURFACE AND SUBSURFACE SEISMIC-ACOUSTIC SIGNALS

INTERACTION AND REMOTE SENSING OF SURFACE WAVES AND TURBULENCE

Using Dye to Study Lateral Mixing in the Ocean: 100 m to 1 km

Spatial Coherence of Nonlinear, Nonstationary, Non-Gaussian Ocean Waves on a One-Mile Scale From Scanning Altimeter Radar

Convection and Shear Flow in TC Development and Intensification

Analysis of South China Sea Shelf and Basin Acoustic Transmission Data

Theory and Practice of Data Assimilation in Ocean Modeling

NAVGEM Platform Support

Volume 6 Water Surface Profiles

Generation and Propagation of Internal Solitary Waves on the Continental Shelf and Slope

Models of Marginal Seas Partially Enclosed by Islands

VLBA IMAGING OF SOURCES AT 24 AND 43 GHZ

Impact of Typhoons on the Western Pacific Ocean DRI: Numerical Modeling of Ocean Mixed Layer Turbulence and Entrainment at High Winds

Transcription:

Computer Simulation of Sand Ripple Growth and Migration. Douglas J. Wilson OGI School of Environmental Science and Engineering at the Oregon Health and Sciences University 20000 N.W. Walker Road, Beaverton, OR 97006 phone: (503) 748-1099 fax: (503) 748-1273 email: dougw@ese.ogi.edu Award Number: N000140110759 http://www.ese.ogi.edu/~dougw LONG-TERM GOALS The long-term goals of this study are to improve our understanding and ability to predict sand ripple size and migration under conditions relevant for active mine burial. This will assist in the quantification of how sand ripple growth and migration contribute to subsequent mine burial under waves and currents. In fine to medium sand scour-type bedforms grow to meter scale horizontal dimensions and 0.1-0.4 meter scale vertical dimensions under storm waves (Clifton 1976, Hay and Wilson, 1994, Traykovski et al. 2000). There are many potentially dominant variables controlling bedform size, shape, and migration rate, including wave orbital diameter, period, current strength, bed sediment size, size distribution, and compaction. Computer simulation has the potential to assist in understanding which of these variables are dominant under a variety of conditions. The potential improvement in the understanding of the fundamental mechanisms of sand bedform formation from this study will be a significant contribution to the quantification of bedform processes related to the burial of mines in sandy coastal environments. OBJECTIVES The objectives of this project are to modify, calibrate, and combine recently developed computer simulations of sand ripple growth and movement to make them applicable to the computer simulation of mine burial. The computer simulation work includes modifying and expanding the computer model of Wilson 1996 and combining it with the models of Wiberg and Smith 1985 and Rubin and Hunter 1987. The Wilson model is a highly nonlinear coarse-grid simulation that captures the relevant sediment transport physics in semi-empirical parameterizations from the Coastal Engineering and wave-flume literature. The Wiberg-Smith model calculates individual trajectories, and is needed to determine the transport effects of bed slopes, and the Rubin-Hunter model incorporates directionality in the forcing and it s result on the migration of the ripples (but requires other bedform characteristics such as height as inputs). APPROACH The approach can be summarized in the following list of tasks as follows: 1. Add a Bagnold-type gravitational settling term to the Wilson model to enhance prediction capability. The model currently has an oversimplified gravitational term, a more realistic version 1

Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 30 SEP 2001 2. REPORT TYPE 3. DATES COVERED 00-00-2001 to 00-00-2001 4. TITLE AND SUBTITLE Computer Simulation of Sand Ripple Growth and Migration. 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) OGI School of Environmental Science and Engineering,,Oregon Health and Sciences University,,20000 N.W. Walker Road,,Beaverton,,OR, 97006 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR S ACRONYM(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13. SUPPLEMENTARY NOTES 11. SPONSOR/MONITOR S REPORT NUMBER(S) 14. ABSTRACT The long-term goals of this study are to improve our understanding and ability to predict sand ripple size and migration under conditions relevant for active mine burial. This will assist in the quantification of how sand ripple growth and migration contribute to subsequent mine burial under waves and currents. In fine to medium sand scour-type bedforms grow to meter scale horizontal dimensions and 0.1-0.4 meter scale vertical dimensions under storm waves (Clifton 1976, Hay and Wilson, 1994, Traykovski et al. 2000). There are many potentially dominant variables controlling bedform size, shape, and migration rate, including wave orbital diameter, period, current strength, bed sediment size, size distribution, and compaction. Computer simulation has the potential to assist in understanding which of these variables are dominant under a variety of conditions. The potential improvement in the understanding of the fundamental mechanisms of sand bedform formation from this study will be a significant contribution to the quantification of bedform processes related to the burial of mines in sandy coastal environments. 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT a. REPORT unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified Same as Report (SAR) 18. NUMBER OF PAGES 6 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

will lead to the model converging more quickly and possibly stabilizing on a more accurate bedform size. 2. Enhance the Wilson model to include grain size effects. This task involves recalculating mobility and gravitational settling parameters for a variety of sand sizes. The model will then be run through a range of wave and current conditions for each sand grain size. 3. Perform computer model sensitivity studies to identify parameters that need further measurement. Several terms in the model are poorly characterized in either flume or field experiments, their sensitivity in the model must be checked over a range of forcing conditions and sand grain sizes. 4. Interface this improved model to the Wiberg-Smith model and Rubin-Hunter model. One way to enhance trust in the model is to demonstrate that it produces the same results as other models in similar parameter ranges if these ranges can overlap. WORK COMPLETED This project was funded in April of this year, so there is little to report in the way of completed work. Task 1, addition of a Bagnold-type gravitational settling term to the model has been started, and task 3, the model sensitivity analysis to this addition is underway. RESULTS Example runs of the model with and without the gravitational settling terms are shown in Figures 1 and 2. A general overview of the model is provided in Wilson 1996. This work also carries on from previous work done for the US Geological Survey. The wave forcing is asymmetrical, and the grid is 107 by 109 centimeters and the model runs forward in time, moving sand from grid point to grid point depending upon bed slope, lee sheltering, and small scale avalanching. In previous work, the model has been tested for independence of the results from the gridding scheme employed by running the model with different angles of the wave forcing. Further model verification runs (not shown) have been made to test the effects of grid size and the periodic boundary conditions (in both x and y directions) used. These runs show no significant difference from the standard grid size (107 by 109 point array) employed. The new results shown here demonstrate that the model generates a significantly more realistic ripple profile (lower graph) when a simple gravitational settling algorithm is added. The ripples in this model grow from sand-grain size roughness due to positive reinforcement of initial instabilities. The preferred ripple size and shape depend on interactions of the ripples with each other, the orbital diameter, and timing of the forcing. These results need further verification for the wide range of forcing encountered in the field. The model without the gravitational settling generates all the observed ripple types (including cross-ripples and lunate mega-ripples as observed by Clifton 1976) and the gravitational settling is not expected to change the general results of the model. 2

Figure 1: Computer simulation of sand ripples under waves. [The upper graph is a gray scale map of the ripple elevation, with darker gray on the crests of the ripples. The arrow denotes the wave direction, the numbers on the left side of the image are model settings. The lower graph shows a cross-section of values across the domain at 30 cells down. The model was started with sand-grain size roughness, then stopped after 250 time steps (roughly equal to 250 seconds). Ripple height has stabilized in the domain at time step 250, but the ripples continue to migrate and change due to the asymmetric forcing, and periodic boundary conditions.] 3

Figure 2: Computer simulation of sand ripples under waves. [This run is similar to that of Figure 1, but the gravitational settling effect has been removed in order to demonstrate that the model generates steeper ripples that are sharper in profile, and without rounded troughs. Once again the arrow in the lower right side of the ripple image represents the direction of the wave forcing. The lower graph shows a cross-section of the values across the domain, 30 cells down from the top of the domain.] 4

MPACT/APPLICATIONS The potential improvement in the understanding of the fundamental mechanisms of sand bedform formation from this study will be a significant contribution to the quantification of bedform processes related to the burial of mines in sandy coastal environments. Though this model is still under development, it demonstrates a capability to generate predictions of bedform size, shape and migration. TRANSITIONS This effort is still in the initial stages, so there are no tangible transition products yet. RELATED PROJECTS This project is closely related to the mine burial initiative field experiment of Dr. Peter Howd. This field experiment will provide important ground truth and calibration data. REFERENCES Clifton, H.E. Wave-Formed Sedimentary Structures-A Conceptual Model, in Beach and Nearshore Sedimentation}, R.A.Davis, Jr. and R.L. Ethington, eds. SEPM, Special Pub. No. 24, pp. 126-148, 1976. Hay, A.E, and D.J. Wilson, 1994, Marine Geology, 119: 57. Rubin, D.M. and R.E. Hunter, 1987, Science, 237: 276. Traykovski, P., A.E. Hay, and J. Irish, 2000, J. Geophys. Res, 108 10380. Wiberg, P.L., and J.D. Smith, 1985, J Geophys Res, 90, No C4: 7341. Wilson, D.J., Ph.D. thesis, December 1996, Memorial Univ. of Newfoundland. 5