cowles mar 555 fall, 2009 1 week 14: estuaries introductory physical oceanography (mar 555) - fall...
TRANSCRIPT
CowlesMAR 555 Fall, 2009
1
Week 14: Estuaries
Introductory Physical Oceanography (MAR 555) - Fall 2009
G. Cowles
From M. Sundemeyer MAR620 Notes
CowlesMAR 555 Fall, 2009
2
Key Concepts:1. Definition
2. Importance
3. Basic Circulation
4. Empirical Classification
5. Mixing Rates
6. Residence Time
7. Flushing Time
CowlesMAR 555 Fall, 2009
3
Estuary - Definition
An estuary is a semi-enclosed coastal body of water which has free connection to the open sea, extending into the river as far as the limit of tidal influence, and within which sea water is measurable diluted with fresh water derived from land drainage. – Pritchard, (modified by K. Dyer).
CowlesMAR 555 Fall, 2009
4
Estuary - Importance
• Nursery Ground (Crab, Shad, Flounder)• Habitat (Crab, Shrimp, Clams, Birds)
Biologically - Very Productive
• Provides Shelter (Harbors), Food, Place to dump Effluent, Recreation and Snacking
Humans
• Loss of Habitat• Effluent Pollution – Nitrogen and Runoff• Manmade modifications – irrigation, flood control measures, etc. modify habitat, circulation, and sediment load.
Concerns
CowlesMAR 555 Fall, 2009
5
Types of Estuaries (by formation)
• Drowned-river valley
• Fjord
• Bar-built
• Tectonic
Source: http://www.mast.udel.edu/200/
(Chesapeake)
(Pleasant Bay)
(San Fran Bay)
(Nassau)
CowlesMAR 555 Fall, 2009
6
Ideal Estuary Cross Section
Source: http://www.mast.udel.edu/200/
Density Discontinuity
Seaward Flow of Fresh Water
Landward Flowof Salty Water
No Tides, No Wind, No Waves, No Mixing at the Interface
Ideal:
CowlesMAR 555 Fall, 2009
7
More Realistic Cross Section
Source: http://www.mast.udel.edu/200/
Mixing at the Interface leads to Entrainmentof dense salty water from bottom layer into fresh top layer leading to smoothing of the interface
Realistic:
CowlesMAR 555 Fall, 2009
8
Estuary Schematic
Tidal Forcing
Mixing: Driven by Tidesand Turbulence alongThe Fresh/Salt Interface
From Open Ocean
- Density Driven Flow (principally salinity) - Balance of Forces: Pressure Gradient and Friction- Role of Coriolis on circulation is minor
Wind and Waves may influencemixing but typically is fetch limited
CowlesMAR 555 Fall, 2009
9
Unsteady Circulation with Tides
U. Washington Ocean 200
Flood
Ebb
CowlesMAR 555 Fall, 2009
10
Net Circulation
U. Washington Ocean 200
• Flood and Ebb average almost to zero• Near Surface Layer: Ebb stronger than flood• Bottom Layer: Flood Stronger than ebb (inflow needed to replace water lost to entrainment)
CowlesMAR 555 Fall, 2009
11
Classification of Estuaries
Source: http://www.mast.udel.edu/200/
Salinity field is a balance between advection of fresh water and diffusion of salt
This balance can be roughly described using a ratio of two params
The volume of fresh water discharged by the river over a tidal cycle
R
VThe volume of water entering the estuaryduring the flood tide – this is a measure of mixing
We will classify estuaries based on R/V
CowlesMAR 555 Fall, 2009
12
Classification of Estuaries
Source: http://www.mast.udel.edu/200/
Salt-wedge
Partially mixed
Well-mixed
R/V > 1
.005 < R/V < 1
R/V < .005
CowlesMAR 555 Fall, 2009
13
Salt-Wedge Estuaries
Source: http://www.mast.udel.edu/200/
CowlesMAR 555 Fall, 2009
14
Salt-Wedge Estuaries
U. Washington Ocean 200
CowlesMAR 555 Fall, 2009
15
Salt-Wedge Estuaries Special Case:Fjords
U. Washington Ocean 200
Sill Blocks Deep Water Return Flow
Isohalines (and Isopycnals) are nearly horizontal
CowlesMAR 555 Fall, 2009
16
Partially-Mixed Estuaries
Source: http://www.mast.udel.edu/200/
CowlesMAR 555 Fall, 2009
17
Partially-Mixed Estuaries
U. Washington Ocean 200
• Rough Balance between Freshwater forcing and mixing• Halocline weaker than in a salt wedge• Mixing and entrainment are stronger
CowlesMAR 555 Fall, 2009
18
Well-Mixed Estuaries
U. Washington Ocean 200
• Areas of Fast Tidal Currents away from River Mouths• Typically shallow (easier to mix vertically)• Isohalines nearly Vertical• Isohalines oscillate back and forth with tide• Net Circulation is Not Two Layers, Outflow at all Depths (averaged over the tide)
CowlesMAR 555 Fall, 2009
19
Mixing: Internally-Generated Turbulence
U. Washington Ocean 200
€
Ri = −g
ρ
∂ρ
∂z
∂u
∂z
⎛
⎝ ⎜
⎞
⎠ ⎟2
Strength of Mixing Along the halocline depends on gradient Richardson number:
For Ri > .25 Mixing Suppressed, Principally generated throughInstabilities known as Holmhoe Waves
Breaking Leads to Entrainment we
CowlesMAR 555 Fall, 2009
20
Mixing: Internally-Generated Turbulence Kelvin-Helmholtz Instability
U. Washington Ocean 200
€
Ri<1/4
Light Fluid
Heavy Fluid
CowlesMAR 555 Fall, 2009
21
Mixing: Boundary-Generated Turbulence
U. Washington Ocean 200
€
u(z)
τ ρ=
1
κln
z
zo
z
Velocity Is Zero at the Wall
Turbulent Flow over the Bottom
Log Law:
The wall (bottom) injects turbulence into flow causing mixing at higher levels
Zo : roughness length (related to physical roughness (substrate grainsize)
τ : shear stress on the bottom
CowlesMAR 555 Fall, 2009
22
Partially Mixed Estuary:Internal and Bottom Mixing Interact
Highly Stratified Estuary:Internal and Bottom Mixing Separate
K. Dyer , Estuaries, a Physical Introduction
Mixing: Combined
CowlesMAR 555 Fall, 2009
23
Mixing Time Scales
Key question for managers: How much time is required for a pollutant or tracer introduced into an estuary to diffuse to a given level
Example: Nitrogen from septic systems introduced into the Capes estuaries through groundwater.
Key focus of Mass Estuaries Project: What is the TMDL of nitrogen that can be introduced in each estuary. This information is key at town level where huge $$$ decisions regarding wastewater treatment must be made
http://www.oceanscience.net/estuaries/reports.htm
CowlesMAR 555 Fall, 2009
24
advection only
CowlesMAR 555 Fall, 2009
25
diffusion only
CowlesMAR 555 Fall, 2009
26
advection and diffusion
CowlesMAR 555 Fall, 2009
27
Time Scale: Residence Time
1) Average amount of time a particle has spent in an estuary2) Average time a particle spends from entrance to exit (a.k.a.
“Transit Time”3) Time until a given particle leaves (most common)
Start Time + Location + Definition of Estuary Boundary
Information Required
Typically Numerical Models (including segmented boxed models) are used to estimate residence time
CowlesMAR 555 Fall, 2009
28
Residence Time Calculations
Tejo Estuary, Portugal
Residence Times (days)(following particles with a numerical model)
Willapa Bay
Numerical Models: Track time ofNeutrally Buoyant Particles in Estuary
Note: Spatial DependencySource: unknown?
Banas and Hickey, JGR 2005
Res Time in Days
CowlesMAR 555 Fall, 2009
29
Time Scale: Flushing Time
Time required for freshwater inflow to replace freshwater originally present in estuary (Dyer, 1973)
No Mixing(Plug Flow)
At end of flushing time, all fresh watercompletely new
Perfect Mixing At end of flushing time, 1/e original remains (66%) of water is new
Relation with to Residence Time:
- Average residence time from head to mouth of region
We will look at two ways to calculate flushing time
CowlesMAR 555 Fall, 2009
30
Flushing Time Calculation
Time required to replace the freshwater volume VF of an estuary at the net rate of flow given by the river discharge R
€
t f =VF
R
€
f = 1−S
So
⎛
⎝ ⎜
⎞
⎠ ⎟ Freshwater Fraction with So the ocean Salinity
€
f * = fV
∫∫∫ dVTotal freshwater:
€
t f =f *V
RRequires knowing S(x,y,z), R, V
CowlesMAR 555 Fall, 2009
31
Simplification: Perfect Mixing – The Tidal Prism Method
€
VT +VR( )S* =VTSO +VR *0
Model:
VT
S=So
VR
S=0
Volume VT of ocean water enters estuary as does R*T of fresh water where T is tidal period
VT+VR
S=S*
At Flood, Perfect Mixing of VT+VR occurs with S=S*. This flows out of the estuary during ebb.
Flood tide
Ebb tide
Salt Balance Equation:
CowlesMAR 555 Fall, 2009
32
Simplification: Perfect Mixing
€
S* =VT
VT +VR
⎛
⎝ ⎜
⎞
⎠ ⎟SO
€
f * = 1−S*
So
⎛
⎝ ⎜
⎞
⎠ ⎟
€
f * =VR
VT +VR
€
t f =VF
R
€
R =VR
T
€
t f =TV
VT +VR
T*V
Tidal Prism (see next slide)
Salinity of Mixed Water
Freshwater VolumeIn Mixed Scenario
Residence Time Def.
CowlesMAR 555 Fall, 2009
33
tidal prismhigh tide
low tide
Tidal Prism
This is something we can reasonably measure
CowlesMAR 555 Fall, 2009
34
Tidal Prism (cont’d)
Note: the above assumes perfect replacement – i.e., none of the water removed from the estuary during ebb returns during the next flood, and vice versa
Source: www.soc.soton.ac.uk/soes/teaching/courses/ oa217/€
⇒ t f = V
estuary
Vprism
×T
hAVestuaryprism
CowlesMAR 555 Fall, 2009
35
Flushing Time Method 2: Knudsen Formula Estimate
• Low mean salinity => long freshwater residence time• High mean salinity => short freshwater residence time
Vtop, Stop VR
S=0
Model
Vbot, Sbot
€
t f =f *V
R=
1−Stop
Sbot
⎛
⎝ ⎜
⎞
⎠ ⎟
RV
CowlesMAR 555 Fall, 2009
36
Flushing Time Summary
Choice depends on available data and estuary type
Matthias Tomczak, Shelf and Coastal Zone Lec. Notes
A 4th option: Numerical Modeling with FVCOM!!
CowlesMAR 555 Fall, 2009
37Source:
0 100 200 300 400 Residence Time (days)
Corpus Christi BayAransas BaySan Antonio BayMalagorda BayBrazos RiverGalveston BaySabine LakeCalcasieu LakeAtchafalaya-Vermillion BaysTerrebonne/Timbalier BaysBarataria BayMississippi RiverBreton-Chandeleur SoundsLake PontchartrainLake BoerneMississippi SoundMobile BayPerdido BayPensacola BayChoctawhatchee BaySt. Andrew BayApalachicola BaySuwannee RiverTampa BaySarasota BayCaloosahatchee RiverCharlotte Harbor
Flushing times for Gulf of Mexico estuaries, NOAA data, calculated using the freshwater fraction method
Flushing Time Estimates
CowlesMAR 555 Fall, 2009
38
Flushing TimeExample: Boston Harbor
Source: http://data.ecology.su.se/MNODE/North%20America/bhbud.htm
CowlesMAR 555 Fall, 2009
39
Flushing Time (cont’d)Example: Boston Harbor (cont’d)
Source: http://data.ecology.su.se/MNODE/North%20America/bhbud.htm
Area of Boston Harbor: 100 km2
Average Depth: 5.5 mAverage Tidal Range: 2.7 mTotal Freshwater Input: 40 m3s-1
Average Salinity: 29.5-31.5 PSU
Tidal Prism =Tidal Exchange =
108 m2 x 2.7 m = 2.7 x 108 m3
2.7 x 108 m3 / 12 hrs = 6250 m3s-1
CowlesMAR 555 Fall, 2009
40
Boston Harbor FlushingTime: Tidal Prism Method
Area of Boston Harbor: 100 km2
Average Depth: 5.5 mAverage Tidal Range: 2.7 mTotal Freshwater Input: 40 m3s-1
Average Salinity: 29.5-31.5 PSU
€
⇒ T = V
estuary
Vprism
×Ttidal
= 108m × 5.5 m
108m × 2.7 m×12 hrs ≈1 Day
CowlesMAR 555 Fall, 2009
41
Area of Boston Harbor: 100 km2
Average Depth: 5.5 mAverage Tidal Range: 2.7 mTotal Freshwater Input: 40 m3s-1
Average Salinity: 29.5-31.5 PSU
Assume Boston Harbor Salinity = 31.0 PSU Assume Mass. Bay Salinity = 31.5 PSU
€
⇒ T =
1-S
estuary
Ssea
⎛
⎝ ⎜
⎞
⎠ ⎟ Vestuary
Qriver
= 1-
31.0
31.5
⎛
⎝ ⎜
⎞
⎠ ⎟ 5.5x108m3
40 m3s-1≈ 2 days
Boston Harbor Flushing Time: Freshwater Fraction Method
CowlesMAR 555 Fall, 2009
42
New Bedford HarborExample: Effects of Hurricane Barrier
Source: Abdelrhman, M. A., 2002. Estuaries V25(2) pp177-196
Flow patterns for speeds </= 0.1 m s-1 during peak spring currents: (a) flood tide (hour 96) without barrier, (b) flood tide (hour 96) with barrier, (c) ebb tide (hour 90) without barrier, and (d) ebb tide (hour 90) with barrier)
CowlesMAR 555 Fall, 2009
43
New Bedford HarborExample: Effects of Hurricane Barrier
Source: Abdelrhman, M. A., 2002. Estuaries V25(2) pp177-196
Normalized average concentration of tracer versus time after beginning of flushing for: (a) freshwater distribution and (b) uniformly distributed tracer. The time required for normalized concentration to reach 1/e times its initial value give the average residence time.
CowlesMAR 555 Fall, 2009
44
New Bedford HarborExample: Effects of Hurricane Barrier
Source: Abdelrhman, M. A., 2002. Estuaries V25(2) pp177-196
Average residence times (h) with and w/o hurricane barrier.
CowlesMAR 555 Fall, 2009
45
Natural Changes to Flushing:Pleasant Bay
Patriots Day Storm: 2007
Nor’Easter1987
CowlesMAR 555 Fall, 2009
46U. Washington Ocean 200
CowlesMAR 555 Fall, 2009
47
Materials and Other Courses
K. Dyer, Estuaries: A Physical Introduction (Wiley)
MAR615: Dynamics of Estuarine Circulation – Dan MacDonald
Books
SMAST Courses
MAR620: Case Studies in Estuarine Dynamics – Sundermeyer and Howes
CowlesMAR 555 Fall, 2009
48
Key Concepts:1. Definition
2. Importance
3. Basic Circulation
4. Empirical Classification
5. Mixing Rates
6. Residence Time
7. Flushing Time