Physics, Chemistry, and Biology in Ponds and...

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Physics, Chemistry, and Biology in Ponds and Lakes

Transcript of Physics, Chemistry, and Biology in Ponds and...

Page 1: Physics, Chemistry, and Biology in Ponds and Lakesfaculty.washington.edu/markbenj/CEE357/Day19_post1.pdfPhysics, Chemistry, and Biology in Ponds and Lakes Ponds and Lakes Dominated

Physics, Chemistry, and Biology in Ponds and Lakes

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Ponds and Lakes Dominated by Heterotrophic Processes

• Example. A well‐mixed lake with V = 5x108 L is fed by a stream flowing at Q=2.4x107 L/d that contains 8 mg/L DO and has L = 10 mg/L. Waste from a small municipality (L = 95 mg/L, DO = 0 mg/L) enters the lake at 4.8 x 106 L/d. kd, kr, and DO* in the lake are 0.10 d−1, 0.05 d−1, and 11.2 mg/L, respectively. Assuming that the lake is at steady‐state:

a) Determine L and DO in the lake.b) Compute the rates (kg/d) at which advection, 

reaeration, and biological reaction, each acting alone, increase or decrease DO and L in the lake.

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• Q1 = 2.4 x 107 L/d Q3 = Q1 + Q2 = 2.88 x 107 L/d• DO1 = 8 mg/L DO3 = ?• L1 = 10 mg/L L3 = ?• Q2 = 4.8 x 106 L/d• DO2 = 0 mg/L• L2 = 95 mg/L• kr = 0.05 d−1• kd = 0.10 d−1• DO* = 11.2 mg/L

V, kd Lin lake

DOin lake, kr Q3, L3, DO3

Q1 (stream),L1, DO1

Q2 (waste), L2, DO2

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V, kd Lin lake

DOin lake, kr Q3, L3, DO3

Q1 (stream),L1, DO1

Q2 (waste), L2, DO2

MB on L: 1 1 2 2 3 3 in lake0 dQ L Q L Q L k VL= + − −

( )( )

7 6

7 1 83 3

L mg L mg0 2.4 10 10 4.8 10 95d L d L

L 2.88 10 0.10 d 5 10 Ld

L L−

⎛ ⎞⎛ ⎞ ⎛ ⎞⎛ ⎞= +⎜ ⎟⎜ ⎟ ⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠ ⎝ ⎠⎝ ⎠

⎛ ⎞− −⎜ ⎟⎝ ⎠

x x

x x

L3 = Lin lake = 8.83 mg/L

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V, kd Lin lake

DOin lake, kr Q3, L3, DO3

Q1 (stream),L1, DO1

Q2 (waste), L2, DO2

MB on DO:

DO3 = DOin lake = 0.57 mg/L

( ) ( ) ( ) ( ) ( ) ( )in lake 1 1 2 2 3 3 in lake in lakeDO DO DO DO DO* DOd rd V Q Q Q k L V k Vdt

= + − − + −⎡ ⎤⎣ ⎦

( ) ( ) ( ) ( ) ( )1 1 2 2 3 3 3 30 DO DO DO DO* DOd rQ Q Q k L V k V= + − − + −

( )

( ) ( ) ( ) ( )

7 6 73

1 8 1 83

L mg L mg L0 2.4 10 8 4.8 10 0 2.88 10 DOd L d L d

mg mg 0.1 d 8.83 5 10 L 0.05 d 11.2 DO 5 10 LL L

− −

⎛ ⎞⎛ ⎞ ⎛ ⎞⎛ ⎞ ⎛ ⎞= + −⎜ ⎟⎜ ⎟ ⎜ ⎟⎜ ⎟ ⎜ ⎟⎝ ⎠⎝ ⎠ ⎝ ⎠⎝ ⎠ ⎝ ⎠

⎛ ⎞ ⎛ ⎞− + −⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠

x x x

x x

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V, kd Lin lake

DOin lake, kr Q3, L3, DO3

Q1 (stream),L1, DO1

Q2 (waste), L2, DO2

Advective outflow of biochemical oxygen demand:(2.88 x 107 L/d)(8.83 mg/L) (10‐6 kg/mg) = 254 kg/d

Rate of L utilization (i.e., the rate of DO utilization by biochemical reactions):

−rLV = kd (Lin lake) V= (0.10 d−1) (8.83 mg/L) (5 x 108 L)= 4.42 x 108 mg/d = 442 kg/d

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254Outlet

456Waste

240Stream

442Bioactivity

Lake

(a)

0Waste

16Outlet

442Bioactivity

Lake

192Stream

266Reaeration

(b)

Mass Balance Terms for L (kg/d)

Mass Balance Terms for DO (kg/d)

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Cladocerans

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Copepods

Cyclopoid

Calanoid

nauplii

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Limiting Nutrients for Algal Growth and Lake Productivity:Nitrogen, Phosphorus & Carbon

Nutrient Source Cycling

Nitrogen [Atmosphere], BiologicalGeologic

Phosphorus Geologic Physical, Chemical

Carbon Atmosphere Chemical, Biological

Redfield RatioC: N : P P limited N limited106 : 16: 1 N:P >20 N:P < 10

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Carbon: rarely limiting due to ready availability from the atmosphere

Nitrogen: can be limiting especially at very high phosphorus loading rates

Phosphorus: most common limiting nutrient and best predictor of algal biomass

Colimitation: very common for both nitrogen and phosphorus in combination to be limiting in short term (3-5 day) bioassays

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Phosphorus vs. Phytoplankton Biomass

0.1

1

10

100

1000C

hlor

ophy

ll (µg

L-1

)

1 10 100 1000Total Phosphorus (µg L-1)

y = 0.08x1.5

r2 = 0.91

Jones and Bachmann (1976)

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Common Threats to Lake and Stream Water Quality

• Point Sources: sewage and industrial effluent

• Non-Point Sources: fertilizers, animal wastes,erosion, failing septic systems, Canada geese

• Point sources have for the most part been controlled

• A key area for future research in limnology and lake management is the development of methods for quantifying and controlling non-point source nutrients

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CAFOs = Factory Farms

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0.997

0.998

0.999

1.000D

ensi

ty (g

ram

s/cm

3 )

0 5 10 15 20 25

Temperature (C°)

Max. Density @ 4 C°

The Impact of Temperature on Water Density

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0 5 10 15 20 25

Temperature (C°)

0

5

10

15

20

25

Dep

th (m

)

Summer Stratification

Epilimnion

Hypolimnion

Metalimnion

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0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

0

10

20

30

40

50

60

Time of Year

Depth (m)

8 10 12 14 16 18 20Temperature (°C)

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Temperate Lakes

Deep = usually Dimictic

Shallow = often Polymictic

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0 5 10 15 20 25Temperature (C°)

0

5

10

15

20

25

Dep

th (m

)

Summer Stratification

0 5 10 15 20 25Temperature (C°)

0

5

10

15

20

25

Dep

th (m

)

Fall Mixing

0 5 10 15 20 25Temperature (C°)

0

5

10

15

20

25

Dep

th (m

)

Spring Mixing

0 5 10 15 20 25Temperature (C°)

0

5

10

15

20

25

Dep

th (m

)

Winter Inverse Stratification

Thermal Stratification in a Dimictic Lake

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0

5

10

15

20

25

Dep

th (m

)Temperature

0

5

10

15

20

25

Dep

th (m

)

Light

0

5

10

15

20

25

Dep

th (m

)

Dissolved Oxygen0

5

10

15

20

25

Dep

th (m

)

Nutrients

A Eutrophic Dimictic Lake During the Summer

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Eutrophication and Nuisance algal blooms

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0

2

4

6

8

Secc

hi d

epth

(m)

0 10 20 30 40

Chlorophyll a (µg L−1)

Chlorophyll vs. Water Clarity

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0.00 0.20 0.40 0.60 0.80 1.00

0

10

20

30

40

50

60

Time of Year

Depth (m)

2 4 6 8 10Chlorophyll concentration (µg/L)

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0

1

2

3

4

5

6

7

Vol

. Wt.

Chlo

roph

yll C

onc.

(µg/

L)

6

7

8

9

10

11

12

13

Vol

. Wt.

Tem

pera

ure

(°C)

0 0.2 0.4 0.6 0.8 1

Time of Year

Lake Washington ChlorophyllTemperature

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Aquatic foodweb

phytoplankton

zooplankton

planktivores

top consumers

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Clear Lake PeruvianUpwelling

Fish

Zooplankton

Phytoplankton

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“The phytoplankton-zooplankton interrelationship appears to be particularly dependent on the species composition of the biota; hence, if the phytoplankton is composed primarily of species edible [and of nutritional value] for zooplankton, one may find a relatively low phytoplankton standing crop”

R.A. Vollenweider (1976)

Mem. Ist. Ital. Idrobiol. 33: 53-83.

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Hypereutrophy and N limitation

• Anoxic hypolimnion (bottom layer)

• Denitrification (NO3 converted to N2)

• Reduced conditions in sediments (Fe3+ Fe2+)

• Supply of NO3 and PO43-

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Cyanobacteria

• Competitive Advantages– Can fix atmospheric nitrogen– Buoyancy regulation– Luxury P uptake (polyphosphate crystals)– Poor food quality and edibility to zooplankton

• Competitive Disadvantages– Slow growers relative to other phytoplankton

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"On May 2, 1878, George Francis of Adelaide, Australia, published the first scholarly description of the potentially lethal effects produced by cyanobacteria . . . in a letter to Nature . . . Symptoms--stupor and unconsciousness, falling and remaining quiet, as if asleep, unless touched, when convulsions come on, with head and neck drawn back by rigid spasm, which subsides before death. Time--sheep, from one to six or eight hours; horses, eight to twenty-four hours; dogs, four to five hours; pigs, three or four hours."

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From the website for CellTech, the company harvesting and selling Super Blue Green® Algae.

1. Super Blue Green® Algae is over 60% high quality (complete) protein

2. and is the richest source of chlorophyll known to man.

3. It is a (vegetable) source of vitamin B-12, and in fact contains more B-12 than any other vegetable!

4. Super Blue Green® Algae is 100% vegetarian, 100% natural and 100% wild-grown.

5. It is enzyme active for super absorption by your body and, it contains over 60 minerals and trace minerals.

6. Are there any medically proven health benefits? Super Blue Green® is a food, not a drug or medicine. Therefore, we cannot promote it as having proven health consequences.

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Lake Washington Story• Mean depth 32 m• Max depth 61 m• HRT = 2.4 yr-1

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Case Study: Lake Washington

From: W.T. Edmondson (1994) Lake & Reservoir Management 10: 75-84.

0

25

50

75

100

125

Dis

solv

ed P

Inpu

ts (m

etri

c to

ns y

r.-1)

1965 1970 1975 1980 1985 1990

Year

Watershed Loading

Sewage Effluent

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From: W.T. Edmondson (1994) Lake & Reservoir Management 10: 75-84.

Change in Lake Washington phytoplankton composition and biomass

0

1

2

3

Phyt

o. B

iovi

ol. (

mm

3L

-1)

1965 1970 1975 1980 1985 1990

Year

Other Phytoplankton

Cyanobacteria

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0

25

50

75

100

125Pe

rcen

t of 1

964

Valu

e

1965 1970 1975

Year

Phytoplankton

Phosphate

Nitrate

Inorganic Carbon

From: W.T. Edmondson (1991) The Uses of Ecology.

Change in Lake Washington nutrient concentrations, and phytoplankton biomass after waste water diversion

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05

101520 D

aphn

ia L

-1

0

2

4

6

8

10

Secc

hi (m

)

1965 1970 1975 1980 1985 1990

Year

Secchi Depth

Daphnia

Trophic Equilibrium

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05

101520 D

aphn

ia L

-1

0

2

4

6

8

10

Secc

hi (m

)

1965 1970 1975 1980 1985 1990

Year

Secchi Depth

Daphnia

Trophic Equilibrium

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05

101520 D

aphn

ia L

-1

0

2

4

6

8

10

Secc

hi (m

)

1965 1970 1975 1980 1985 1990

Year

Secchi Depth

Daphnia

Trophic Equilibrium

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0

2

4

6

8

10

Biom

ass (

µg C

hla/

l)

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

Time of Year

Lake Washington seasonal phytoplankton succession

Others

Cyanos

Greens

Cryptos

Diatoms