Webinar on PTM with CMSCMS US Army Corps of Engineers BUILDING STRONG ® PTM Webinar on PTM with CMS Mitchell E. Brown Civil Engineering Technician Honghai Li Research Physical Scientist

CMS

US Army Corps of Engineers BUILDING STRONG®

PTM

Webinar on PTM with CMS

Mitchell E. Brown Civil Engineering Technician

Honghai Li Research Physical Scientist

Coastal and Hydraulics Laboratory Engineer Research and Development Center

December 4, 2013

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Coastal and Hydraulics Laboratory 2

Introduction to CMS

Coastal and Hydraulics Laboratory

Integrated waves, current, and sediment transport model in the Surface-water Modeling System (SMS) CMS-Flow and CMS-Wave Coupled with Particle Tracking Model (PTM)

PTMLagrangian Particle

Tracking Model

CMS-WaveWind input, wave generation & growth, wave

transformation, diffraction, reflection, run-up, setup, overtopping, structures, surface roller

Nonuniform and telescoping Cartesian grids, tightly-coupled wave-flow-transport models, parallelized for PCs

Current, Water Level, Morphology Change

Wave Height, Direction, Period, Dissipation, Radiation Stresses

CMS-Flow

HydrodynamicsTide, Wind, Waves Coriolis, River flux

Sediment Transport

Advection, Diffusion, Erosion, Deposition,

Bed sorting

Waves

Morphology ChangeBed change and layering,

Avalanching

StructuresJetties, Groins, Weirs,

Culverts

Coastal Modeling System

3


Objective

• Deliver to engineers’ desktops advanced models that can be used as practical tools for coastal inlets, coastal navigation channel, and adjacent beach studies. • Models efficiently coupled to simulate relevant physical

processes • PC-based, user-friendly interface, fast, robust and

accurate • Manuals, tech reports, journal papers, Wiki, workshops,

phone help, etc.

4


CMS-Flow: Key Features

• Grid options • Non-uniform Cartesian grid: Easy

to setup • Quadtree (telescoping) grid:

Efficient, flexible (presently, only available for Implicit model)

• Solver options • Implicit: Tidal flow, long-term

morphology change, parallel processing.

~5 - 30 minute time step • Explicit: Flooding, breaching,

super-critical flow. ~1 second time step, parallel processing

Non-uniform Cartesian grid (Variable spacing)

Quadtree grid (Telescoping) 5


CMS-Wave: Key Features

• Shoaling, refraction, diffraction, reflection

• Bottom friction • White capping • Wave breaking (4 options) • Wind generation • Wave-current, and wave-wave

interactions • Transmission, runup and

overtopping • Muddy bottom • Automatic grid rotation • Non-uniform Cartesian grid with

nesting capability • “Fast Mode”

6


Sediment Transport: Key Features

• Sediment transport models • Equilibrium Total Load (Exner equation) • Eq. Bed Load + Advection-Diffusion (AD)

Suspended Load • Non-Eq. (AD Total Load)

• Sediment transport formulas • Lund-CIRP • Van Rijn • Watanabe • Soulsby

• Hard-bottom • Avalanching • Bed slope influence on bed load • Multiple-sized sed. transport (NEW)

Pensacola Pass, FL

Channel Infilling ~700,000 cu m

Blind Pass, FL

7


Documentation

CIRP website http://cirp.usace.army.mil/

http://cirp.usace.army.mil/wiki/ CIRP wiki

• Products • CMS • GenCade • Others

• Publications • Technical Reports • CHETNS • Journal Articles • Others

• Tech Transfer Upcoming Recent

8


Introduction to PTM


Particle Tracking Model

Input Requirements

Grid/Bathymetry Data Hydrodynamic and/or

Wave Data ADH ADCIRC EFDC CH3D

CMS Native Sediment Data User Defined Source

Dredging Placement CSOs

Time-dependent Particle Positions

P(t,X,Y,Z)

PTM/Surface-water Modeling System (SMS) Data Analysis Tools

Deposition Concentration Dose Exposure Accumulation Pathways

PTM is a Lagrangian particle tracker that models transport processes (advection, diffusion, deposition, etc) of representative parcels to determine constituent (sediment, contaminants, biologicals, etc) fate.

PTM


Calculations in the PTM • Combined wave-current sediment mobility

(Soulsby & Whitehouse) and bottom shear stresses (O’Connor & Yoo, van Rijn)

• Temporally and spatially varying bedforms (Mogridge et al.) and variable bed roughness for growth/decay of bedforms

• Suspended sediment transport (Rouse, van Rijn) • Bed load transport (van Rijn) • Settling and entrainment algorithms (Soulsby) • Hiding and exposure function (Egiazaroff,

Kleinhans & van Rijn) • Influence of bed slope on transport • Mixed sand-silt-clay sediment transport

algorithms • Fully-3D transport of particles • Neutrally-buoyant particles


PTM Capabilities

• Visualize particle pathways and fate

• Calculate residence time

• Monitor specific sources of sediment transported to inlets and navigation channels

• Monitor dispersion of sediment from dredged material placement sites

• Predict accretion and erosion zones

• Forecast potential increase in turbidity and deposition

• Isolate and track particles from other sources, such as outfalls, propeller-induced suspension …


Sediment Sources and Traps

• User-specified particle sources • Temporally- and spatially-varying point, line, or area sources • Mimic complicated dredging operations

• Particle traps • Used to monitor (count/collect) particles • Trap types may be defined as a line or area (zone or region)

• Residence time and spatial maps of particle transport parameters

• Mobility, shear stress, and bedform • Pathways

line

mass rate (kg/s)

instant mass (kg)

point

area

Depth Change (m)


PTM Applications

• Sediment transport around inlets, shoals, structures, and adjacent beaches

• Sediment transport related to channel design, infilling, and bypassing projects

• Sediment transport from channel dredge and material placement

• Erosional Transport • Larval fish, fish egg, and water

particulate transport

14

Assateague Island

Bypassing Path


Alaska (POA) Guam (POH)

PTM Applications

LA/LB Complex (SPL)

Noyo Harbor, CA (SPN)

Cleveland Harbor (LRD)

Seabrook (MVN)

Grays Harbor, WA (NWS) Mouth of Columbia River, WA/OR (NWP)

Matagorda Ship Channel, TX (SWG) Packery Channel, TX (SWG)

Port Orford, OR (NWP)

Willamette River (NWP)

Sabine-Neches Waterway, TX (SWG)

Chesapeake Bay/Poplar Island, MD (NAB)

Brunswick Harbor (SAS)

Providence River (NAE)

Coastal and Hydraulics Laboratory 16 16

Poplar Island, MD Beneficial Use of Sediment Dredged from Navigation Channel

Cell-1A


CMS Domain (Cell-1A)

Poplar Island, MD

Cell Size: 1.83 ×1.83 m

Water Depth: -1 ~ 1.5 m


Residence Time

Trap

Sources of Particle Release

Residence Time: Time Particles Exit Trap – Time Particles Enter Trap (TIME OUT) (TIME IN)

• 57 particle point sources Instant mass release

• Space Distance ~30 m

• Time interval of release 1 hour

• Release duration 12 hours (1 tidal cycle)


Residence Time

WSE (m) 0.5

0.3

0.1

-0.1

-0.3

-0.5

Current (m/s)

--. 0.80 0.00

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9.7

8.1

10.5

7.6

10.8

11.8 10.6

9.1

8.6

8.3

10.6

11.0

10.0

11.5 10.6

11.0

12.0

12.9 11.0

10.5 10.1

9.0 11.5

10.6

11.0

6.6

8.3 7.4

8.8

4.8

1.5

3.9

4.5

3.8 4.6

2.4 7.7

6.2 4.7

4.8

4.9

5.1

6.4

3.8 4.5

5.9

6.7 6.4

6.4 8.7

10.9 11.6

11.2 5.5

2.2

5.5

6.6

Residence Time

Neutrally Buoyant Particles

July 07-21, 2007 October 21-November 04, 2007

7.7

14.1

14.3

13.3

12.6

11.1 13.3

13.2

11.0

11.0

14.4

14.4

14.4

14.4 14.4

14.4

14.4

14.4 14.4

14.4 14.4

14.4 14.4

14.4

14.4

9.2

13.5 14.4

14.4

14.2

4.3

5.7

8.3 1.4 6.3

1.7 5.8

9.1 2.5

10.3

4.5

3.6

1.9

2.9 1.4

13.1

9.1 6.2

14.4 14.4

14.4 14.4

14.4 14.4

1.4

5.2

13.8


Dredging Materials and Management

A B

C D

SAV Migrating Fish Coral Reef Dredging Project





Dredging Materials and Management

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1' ..

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Suspended Sediment Concentration (Particle Density)

• "

Concentration (mg/1) 20.00 16.00 12.00 8.00 4.00 0.00

. I


Publications

• Demirbilek, Z., K. J. Connell, and N. MacDonald (2008). Particle Tracking Model (PTM) in the SMS 10: IV. Link to Coastal Modeling System, ERDC TN-IV-71, http://cirp.usace.army.mil/pubs/chetns/CHETN-IV-71.pdf.

• MacDonald, N., M. Davies, A. Zundel, J. Howlett, Z. Demirbilek, J. Gailani, T. Lackey, and J. Smith (2006). PTM: Particle Tracking Model, Report 1. Model Theory, Implementation, and Example Applications, ERDC/CHL TR-06-21, http://cirp.usace.army.mil/pubs/pdf/TR-06-20.pdf.

• Li, H., and N. J. MacDonald. 2012. Use of the PTM with CMS Quadtree Grids. Coastal and Hydraulics Engineering Technical Note CHETN IV-82. Vicksburg, MS: U.S. Army Engineer Research and Development Center, http://cirp.usace.army.mil/pubs/chetns.php.


Determine Sources of Sediment Responsible for Channel Infilling at Port Orford Port

for Different Breakwater Configurations


CMS Grid and Setting

CMS-Flow: Telescoping Domain Size: 21 x 16 km

Cell Size: 10 to 3200 m

Water Depth: 0 to 400 m

Port Orford

Port Orford


Breakwater Configuration

• Restore breakwater Crest elevation:16.1 ft above MSL • Open mid-section notch Length: 250 ft Crest elevation: 8.9 ft above MSL • Remove breakwater


Current and Waves (Extreme Winter Storm, 3 December, 2007)

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Source Locations

• Sediment sources locations were determined through consultation by: • ERDC Team • Portland District • Port of Port

Orford • Sources are erosion

sources (particles are initially at the bed)

1

3

2

4

8

6

5

7


Analysis Traps

• A series of traps were developed for analysis purposes.

• Trap height is approximately half the depth.

• Traps are designed as

closed traps (when a particle enters trap, it is counted and transport calculations for the particle ceases)


Modified Breakwater


Comparison (Nov/Dec)

0

1000

2000

3000

4000

5000

6000

Trap 1 Trap 2 Trap 4 Trap 6 Trap 7 Trap 8

Num

ber o

f Par

ticle

s Source 8

Source 7

Source 6

Source 5

Source 4

Source 3

Source 2

Source 1

0

1000

2000

3000

4000

5000

6000


Num

ber o

f Par

ticle

s Source 8

Source 7

Source 6

Source 5

Source 4

Source 3

Source 2

Source 1

0

1000

2000

3000

4000

5000

6000


Num

ber o

f Par

ticle

s

Source 8

Source 7

Source 6

Source 5

Source 4

Source 3

Source 2

Source 1

Mid-Notch Modified

Remove

Documents

Webinar on PTM with CMSCMS US Army Corps of Engineers BUILDING STRONG ® PTM Webinar on PTM with CMS Mitchell E. Brown Civil Engineering Technician Honghai Li Research Physical Scientist