EPA’s Draft Aluminum Criteria...EPA’s Draft Aluminum Criteria Published: July 28, 2017 . Comments Due: Sept. 20, 2017

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EPA’s Draft Aluminum Criteria

Published: July 28, 2017

Comments Due: Sept. 20, 2017

1988 Aluminum Criteria

• Acute criteria = 750 ug/L (1 hour exposure) • Chronic criteria = 87 ug/L (4 day exposure) • Not adopted as a water quality objective

– Not in Santa Ana Basin Plan – Not in California Toxics Rule or National Toxics Rule – Sometimes used as narrative translator (ex. 303d)

• Many known problems with the 1988 criteria

2017 Draft Aluminum Criteria

• Variable criteria, adjusted for: – pH – Hardness – Dissolved Organic Carbon (DOC)

• EPA provides spreadsheet tool to calculate Total Recoverable Aluminum concentration

• Not binding until the state approves the criteria as a water quality standard.

Comparison: New vs. Old

U.S. EPA. Fact Sheet: Draft Aquatic Life Ambient Water Quality Criteria for Aluminum in Freshwaters. July, 2017

Alum Application Program

• Alum (aluminum sulfate) is 9% aluminum

• 40 mg/L of Alum = 3,600 ug/L of aluminum (40 mg/L (ppm) = 40,000 ug/L (ppb)

• Binds with phosphorus to form aluminum phosphate (inert and insoluble)

• Site-specific testing demonstrated that alum was not toxic in Canyon Lake water

Estimated Criteria for Canyon Lake EPA Spreadsheet Tool* ACUTE (CMC) CHRONIC (CCC)

Constrained Input Values pH=8.2, Hardness=150, DOC=5.0

4,400 ug/L 2,300 ug/L

Unconstrained Input Values pH=8.2, Hardness=300, DOC=20.0

8,000 ug/L 2,800 ug/L

Table K-7 & Table K-8 Values (draft) Ph=8.0, Hardness=300, DOC=5.0

4,700 ug/L 2,000 ug/L

EPA advises discretion in applying spreadsheet tool when site-specific input values are outside the range of values used to develop the model equation.

*EPA Aluminum Criteria Calculator V.1.0.xlsx

Focus of Comment Letter • Develop separate warm & cold water criteria.

• Expand model domain to include higher hardness values (>150 mg/L) common to arid west waters.

• Expand model domain to include higher DOC values (>5 mg/L) common in warm water lakes.

• Affirm ability to use the Water Effects Ratio (WER) procedure to develop site-specific aluminum criteria.

• Special consideration/exception for Alum applications; at a minimum, only the acute criteria should be applied to applications made in accordance with label.

Lake Elsinore and Canyon Lake TMDL Water Quality Monitoring Update – 2016-17 Summary

August 15, 2017

Lake Elsinore and Canyon Lake TMDL Water Quality Monitoring Update – 2016-17 Summary

Watershed Monitoring

Summary of 2016-2017 Watershed Monitoring and Nutrient Loads

Number and Location Description

Annual Flow

(Mgal)

Annual Event Mean Storm Concentration (mg/L) Estimated Annual Load (kg)

Total Nitrogen

Total Phosphorus

Total Nitrogen

Total Phosphorus

Site 3 - Salt Creek at Murrieta Road 1,596 2.07 0.62 12,366 4,026

Site 4 - San Jacinto River at Goetz 2,802 2.03 1.23 21,651 14,403

Site 6 - San Jacinto River at Ramona Expressway 0 - - - -

Site 30 - Canyon Lake Spillway 4,850 1.85 0.36 33,759 6,637

Site 1 - San Jacinto River at Cranston Guard Station 6,194 Not Measured Not Measured Not Measured Not Measured

Summary of 2016-2017 Monthly Flow

Mean Monthly Flow (cfs) Site 3 - Salt Creek

Site 4 - San Jacinto River

Site 6 - San Jacinto River at

Ramona Expressway

Site 30 - Canyon Lake

Spillway

Site 1 - San Jacinto River at Cranston

Guard Station

July 0.00 0.00 - 3.10 0.05 August 0.00 0.00 - 2.89 0.03

September 0.00 0.00 - 0.16 0.01 October 0.17 0.00 - 0.15 0.02

November 3.67 3.01 - 0.67 0.05 December 23.51 32.95 - 25.80 14.41 January 43.55 90.61 - 176.06 72.75 February 9.01 14.48 - 25.04 125.53

March 0.73 0.31 - 6.39 86.86 April 0.00 0.00 - 1.03 15.60 May 0.00 0.00 - 2.98 5.71 June 0.00 0.00 - 0.27 0.84

Mean Annual Flow (cfs) 6.98 12.26 - 20.56 27.77

Summary of 2016-2017 Rainfall

Monthly Rainfall (inches)

Lake Elsinore Perris CDF Pigeon

Pass Hemet / San

Jacinto Winchester

Jul 0.00 0.00 0.00 0.00 0.00 Aug 0.00 0.00 0.00 0.00 0.00 Sep 0.08 0.08 0.00 0.16 0.12 Oct 0.24 0.35 0.78 0.34 0.28 Nov 0.98 0.90 1.35 1.09 1.03 Dec 3.60 3.21 3.94 3.20 3.17 Jan 6.68 6.04 6.78 6.23 4.86 Feb 3.02 2.06 2.61 2.86 2.31 Mar 0.03 0.02 0.16 0.21 0.06 Apr 0.02 0.00 0.02 0.00 0.00 May 0.27 0.06 0.26 0.25 0.08 Jun 0.00 0.00 0.00 0.00 0.02

Annual Rainfall (Inches) 14.92 12.72 15.90 14.34 11.93

7/1/16

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char

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fs)

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Site 3 - Salt Creek at Murrieta RoadUSGS 11070465

2016-2017 Annual Hydrograph

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Site 4 - San Jacinto River at Goetz RoadUSGS 11070365

2016-2017 Annual Hydrograph

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Site 30 - Canyon Lake Spillway USGS 11070500

2016-2017 Annual Hydrograph

2016-2017 Annual Hydrograph

7/1/16

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1376

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Can

yon

Lake

Lev

el (f

t.)

Water LevelSpillway

Canyon Lake at Railroad Canyon Dam Spillway

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fs)

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Site 1 - San Jacinto River at Cranston Guard Station USGS 11069500

2016-2017 Annual Hydrograph

12/15

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:00

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:00

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:00

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Site 3 - Salt Creek at Murrieta RoadUSGS 11070465

12/16

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:00

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:00

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:00

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:00

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char

ge (c

fs)

Flow (cfs)Composite Sample

Site 4 - San Jacinto River at Goetz RoadUSGS 11070365

Wet Event #1 December 16-18, 2016

Rainfall: 0.43 to 0.78 inches

Sites: Salt Creek and San Jacinto

1/19/1

7 00:0

0

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1400

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char

ge (c

fs)

Flow (cfs)Composite Sample

Site 4 - San Jacinto River at Goetz RoadUSGS 11070365

1/18/1

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char

ge (c

fs)

Flow (cfs)Composite Sample

Site 3 - Salt Creek at Murrieta RoadUSGS 11070465

1/19/1

7 00:0

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1400

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char

ge (c

fs)

Flow (cfs)Composite Sample

Site 30 - Canyon Lake SpillwayUSGS 11070500

Wet Event #2 January 19-22, 2017

Rainfall: 1.32 to 2.0 inches

Sites: Salt Creek, San Jacinto, and Canyon Lake

2/17/1

7 00:0

0

2/17/1

7 08:0

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char

ge (c

fs)

Flow (cfs)Composite Sample

Site 30 - Canyon Lake SpillwayUSGS 11070500

2/17/1

7 00:0

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0

25

50

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100

125

150

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char

ge (c

fs)

Flow (cfs)Composite Sample

Site 3 - Salt Creek at Murrieta RoadUSGS 11070465

2/17/1

7 00:0

0

2/17/1

7 08:0

0

2/17/1

7 16:0

0

2/18/1

7 00:0

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2/18/1

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2/18/1

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7 00:0

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7 08:0

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0

100

200

300

400

500

600

Dis

char

ge (c

fs)

Flow (cfs)Composite Sample

Site 4 - San Jacinto River at Goetz RoadUSGS 11070365

Wet Event #3 February 17-20, 2017

Rainfall: 0.97 to 1.66 inches

Sites: Salt Creek, San Jacinto, and Canyon Lake

Summary of 2008-2017 Nutrient Concentrations

Monitoring Year Site 3 - Salt Creek Site 4 - San Jacinto

River Site 30 - Canyon Lake

Spillway TN (mg/L) TP (mg/L) TN (mg/L) TP (mg/L) TN (mg/L) TP (mg/L)

2008-2009* 3.0/3.1 0.8/1.3 1.4/3.1 0.7/1.5 NS NS

2009-2010* 1.5/1.9 0.6/1.0 1.6/3.2 0.5/1.2 0.7/1.3 0.6/0.8

2010-2011* 1.5/2.2 0.4/0.5 1.4/2.2 0.7/1.9 0.9/1.5 0.5/0.9

2011-2012 1.9 0.3 2.2 0.5 NS NS

2012-2013 1.9 0.3 2.1 0.5 NS NS

2013-2014 2.7 0.9 1.8 0.6 NS NS

2014-2015 2.2 0.5 1.8 0.4 NS NS

2015-2016 2.5 0.5 2.4 1.4 NS NS

2016-2017 2.1 0.6 2.0 1.2 1.9 0.4 *Values shown for nutrient concentrations are minimum/maximum NS-Not sampled

Summary of 2008-2017 Nutrient Loads

Monitoring Year

Site 3 - Salt Creek Site 4 - San Jacinto River Site 30 - Canyon Lake Spillway

Flow (Mgal) TN (kg) TP (kg) Flow (Mgal) TN (kg) TP (kg) Flow (Mgal) TN (kg) TP (kg)

2008-2009* 529 6,085/6,125 1,541/2,642 1,042 5,323/12,145 2,682/5,954 NA NS NS

2009-2010* 1,282 7,474/9,180 2,960/4,804 2,681 14,716/32,680 4,668/12,382 62 167/294 137/188

2010-2011* 1,946 5,112/7,484 1,370/1,704 3,269 7,690/12,124 4,041/10,664 1,302 2,035/3,556 1,029/2,102

2011-2012 249 1,843 238 277 2,338 542 133 NS NS

2012-2013 147 1,025 180 424 3,341 822 114 NS NS

2013-2014 411 4,268 1,409 484 3,252 1,178 148 NS NS

2014-2015 511 4,661 1,257 570 3,932 1,041 196 NS NS

2015-2016 515 5,647 1,447 872 7,926 4,624 476 NS NS

2016-2017 1,596 12,366 4,026 2,802 21,651 14,403 4,850 33,759 6,637 *Values shown for nutrient loads are minimum/maximum NS-Not Sampled NA-Not Available

Lake Elsinore and Canyon Lake TMDL Water Quality Monitoring Update – 2016-17 Summary

In-Lake Monitoring

17

Station Locations – Lake Elsinore

18

Station Locations – Canyon Lake

19

Total Nitrogen – Lake Elsinore 2016-2017

20

Total Nitrogen – Lake Elsinore Historic Data

21

Total Phosphorus – Lake Elsinore 2016-2017

22

Total Phosphorus – Lake Elsinore Historic Data

23

Total Dissolved Solids– Lake Elsinore 2016-2017

Ju ly 2

0 1 6

A u g u s t 20 1 6

S e p tem

b e r 20 1 6

Oc to

b e r 20 1 6

D e c emb e r 2

0 1 6

F e b rua ry

20 1 7

A p r il 2

0 1 7

J u n e 20 1 7

1 5 0 0

2 0 0 0

2 5 0 0

3 0 0 0

3 5 0 0

4 0 0 0

4 5 0 0

TD

S (

mg

/L)

B a s in P la n O b je c tiv e

24

Total Dissolved Solids– Lake Elsinore Historic Data

15 /Ju l/2

0 0 3

2 3 /Fe b /2

0 0 4

0 4 /Oc t/2

0 0 4

1 7 /Ma y /2

0 0 5

2 0 /Ja n /2

0 0 6

2 9 /Au g /2

0 0 6

2 7 /Ap r /2

0 0 7

1 6 /Ja n /2

0 0 8

1 8 /Se p /2

0 0 8

1 7 /Ju l/2

0 0 9

1 6 /Ap r /2

0 1 0

2 2 /Fe b /2

0 1 1

2 7 /Ja n /2

0 1 20

5 0 0

1 0 0 0

1 5 0 0

2 0 0 0

2 5 0 0

3 0 0 0

3 5 0 0

4 0 0 0

2 7 /Oc t/2

0 1 5

8 /Fe b /2

0 1 6

2 3 /Ju n /2

0 1 6

1 8 /Au g /2

0 1 6

5 /Oc t/2

0 1 6

2 /Fe b /2

0 1 7

2 /Ju n /2

0 1 7

D a te

To

tal

Dis

so

lve

d S

oli

ds

(m

g/L

)

N o d a ta a v a i la b le f r o m J u n e 2 0 1 2 - J u ly 2 0 1 5

B a s in P la n O b je c t iv e

25

Total Nitrogen – Canyon Lake 2016-2017

26

Total Nitrogen – Canyon Lake Historic Data

27

Total Phosphorus – Canyon Lake 2016-2017

28

Total Phosphorus – Canyon Lake Historic Data

0 .0

0 .5

1 .0

1 .5

2 .0

2 .5

0 1 /Oc t/2

0 1 3

1 8 /Fe b /2

0 1 4

2 3 /Ju l/2

0 1 4

1 1 /De c /2

0 1 4

3 1 /Ju l/2

0 1 5

2 3 /Ju n /2

0 1 6

2 /Fe b /2

0 1 7

D a te

To

tal

Ph

os

ph

oru

s (

mg

/L)

1 5 /May /2

001

07 /Aug /2

001

22 /Jan /2

002

22 /May /2

003

21 /Oc t/2

003

17 /Aug /2

007

14 /No v /2

0 07

13 /Ma r/2

0 08

30 /May /2

008

07 /Jan /2

009

21 /Aug /2

009

30 /No v /2

0 09

29 /Ma r/2

0 10

28 /Jun /2

010

10 /Sep /2

0 10

28 /Ma r/2

0 11

29 /Ju l/2

011

M a in B a s in (A v e ra g e o f C L 0 7 & C L 0 8 )

E a s t B a s in (A v e ra g e o f C L 0 9 & C L 1 0 )

28 /Ma r/2

0 05

28 /Sep /2

0 11

28 /Feb /2

0 12

18 /Jun /2

012

T M D L T a rg e t

N o d a ta a v a i la b le f r o m M a y 2 0 0 5 - J u ly 2 0 0 7 ; J u n e 2 0 1 2 -S e p t 2 0 1 3

T M D L t a r g e t o f 0 .1 m g /L is a n n u a l a v e r a g e t o b e a t t a in e d b y 2 0 2 0

29

Satellite Imagery – Chlorophyll July 2016

Lake Elsinore Canyon Lake

**Data gaps in eastern arm due to high cirrus clouds

30

Satellite Imagery – Chlorophyll August 2016

Lake Elsinore Canyon Lake

**Data gaps due to large floating cyanobacterial slicks

31

Satellite Imagery – Chlorophyll September 2016

Lake Elsinore Canyon Lake

**Data gaps due to large floating cyanobacterial slicks

32

Satellite Imagery – Chlorophyll October 2016

Lake Elsinore Canyon Lake

**Data gaps in eastern arm due to high cirrus clouds

33

Satellite Imagery – Chlorophyll December 2016

Lake Elsinore Canyon Lake

**Data gaps due to large floating cyanobacterial slicks

34

Satellite Imagery – Chlorophyll February 2017

Lake Elsinore Canyon Lake

**High chlorophyll-a readings in Canyon Lake due to turbidity interference

35

Satellite Imagery – Turbidity after January Storms

Canyon Lake

36

Satellite Imagery – Chlorophyll April 2017

Lake Elsinore Canyon Lake

37

Satellite Imagery – Chlorophyll June 2017

Lake Elsinore Canyon Lake

38

Lake Elsinore Chlorophyll – 2016-2017

39

Lake Elsinore Chlorophyll – Integrated Historic Data

40

Canyon Lake Chlorophyll – 2016-2017

41

Canyon Lake Chlorophyll – Integrated Historic Data

Lake Elsinore and Canyon Lake TMDL Water Quality Monitoring Update – 2016-17 Summary

Dissolved Oxygen

Monitoring

43

Lake Elsinore Dissolved Oxygen – LE02 Water Column Mean vs. 1m from Bottom 2016-2017

44

Lake Elsinore Dissolved Oxygen – LE02 Water Column Mean Historic Data

13 /Ap r /2

0 0 6

2 9 /Au g /2

0 0 6

1 4 /Fe b /2

0 0 7

2 0 /Ju l/2

0 0 7

1 6 /Ja n /2

0 0 8

0 9 /Ju l/2

0 0 8

3 0 /Ja n /2

0 0 9

0 4 /De c /2

0 0 9

3 0 /Ju n /2

0 1 0

2 5 /Ja n /2

0 1 1

2 5 /Au g /2

0 1 1

3 1 /Ma y /2

0 1 20

5

1 0

1 5

3 1 /Ju l/2

0 1 5

0 6 /De c /2

0 1 5

2 0 /Ap r /2

0 1 6

2 5 /Ju l/2

0 1 6

1 9 /Se p t/2

0 1 6

8 /De c /2

0 1 6

7 /Ap r /2

0 1 7

D a te

Dis

so

lve

d O

xy

ge

n (

mg

/L) L E E 2

T M D L T a rg e t

N o d a ta a v a i la b le f r o m J u n e 2 0 1 2 - J u ly 2 0 1 5

T M D L t a r g e t o f 5 m g /L is d e p t h a v e r a g e t o b e a t t a in e d b y 2 0 1 5

L a k e E ls in o re D is s o lv e d O x y g e n - D e p th A v e ra g e

45

Lake Elsinore Dissolved Oxygen – LE02 1m from Bottom Historic Data

13 /Ap r /2

0 0 6

2 9 /Au g /2

0 0 6

1 4 /Fe b /2

0 0 7

2 0 /Ju l/2

0 0 7

1 6 /Ja n /2

0 0 8

0 9 /Ju l/2

0 0 8

3 0 /Ja n /2

0 0 9

0 4 /De c /2

0 0 9

3 0 /Ju n /2

0 1 0

2 5 /Ja n /2

0 1 1

2 5 /Au g /2

0 1 1

3 1 /Ma y /2

0 1 20

5

1 0

1 5

3 1 /Ju l/2

0 1 5

0 6 /De c /2

0 1 5

2 0 /Ap r /2

0 1 6

2 5 /Ju l/2

0 1 6

1 9 /Se p t/2

0 1 6

8 /De c /2

0 1 6

7 /Ap r /2

0 1 7

D a te

Dis

so

lve

d O

xy

ge

n (

mg

/L) L E E 2

T M D L T a rg e t

N o d a ta a v a i la b le f r o m J u n e 2 0 1 2 - J u ly 2 0 1 5

T M D L t a r g e t o f 5 m g /L is 1 m o f f la k e b o t to m t o b e a t t a in e d b y 2 0 2 0

L a k e E ls in o re D is s o lv e d O x y g e n - 1 m fro m B o tto m

46

Canyon Lake Dissolved Oxygen – Main Basin Epilimnion vs. Hypolimnion 2016-2017

No stratification in December-February Not sampled in July 2016

Mean of Sites CL07 & CL08

47

Canyon Lake Dissolved Oxygen – East Basin Epilimnion vs. Hypolimnion 2016-2017

No stratification in Sept (CL10) & Dec/Feb (both) Not sampled in July 2016

Mean of Sites CL09 & CL10

48

Dissolved Oxygen – Diurnal Variability

S u r f a c e 1 2 3 4 50

2

4

6

8

1 0

1 2

1 4

D e p t h ( m )

Dis

so

lve

d O

xy

ge

n (

mg

/L)

A MP MA v e r a g e

D O O b j e c t i v e

S u r f a c e 1 2 3 4 50

2

4

6

8

1 0

1 2

1 4

D e p t h ( m )D

iss

olv

ed

Ox

yg

en

(m

g/L

)

A MP MA v e r a g e

D O O b j e c t i v e

L a k e E l s i n o r e D i s s o l v e d O x y g e n P r o f i l e - L E 0 2

D e c e m b e r 2 0 1 5 J u n e 2 0 1 6

49

Lake Elsinore Dissolved Oxygen – Morning vs. Afternoon TMDL Compliance July 2015 to June 2017

Site TMDL DO Target Time of Measurement # of Events

# Events in Compliance

Percent of Events in

Compliance

LE01

2015 Water Column Mean

Morning 14 9 64%

Afternoon 13 10 77%

2020 1m from Bottom Morning 14 6 43%

Afternoon 13 5 38%

LE02

2015 Water Column Mean

Morning 14 7 50%

Afternoon 13 9 69%

2020 1m from Bottom Morning 14 7 50%

Afternoon 13 5 38%

LE03

2015 Water Column Mean

Morning 14 9 64%

Afternoon 14 10 71%

2020 1m from Bottom Morning 14 7 50%

Afternoon 14 7 50%

50

Lake Elsinore Dissolved Oxygen – Morning vs. Afternoon TMDL Compliance by Season July 2015 to June 2017

Plotting mean difference in Morning vs. Afternoon DO values * = Statistically Significant Morning vs. Afternoon Note: Positive values represent periods when DO increased from morning to afternoon, negative values indicate a decrease in DO from morning to afternoon

51

Canyon Lake Dissolved Oxygen – Morning vs. Afternoon TMDL Compliance July 2015 to June 2017

Site TMDL DO Target Time of Measurement # of Events

# Events in Compliance

Percent of Events in Compliance

CL07 2015 Epilimnion

Morning 11 10 91% Afternoon 9 9 100%

2020 Hypolimnion Morning 11 0 0%

Afternoon 9 0 0%

CL08 2015 Epilimnion

Morning 11 11 100% Afternoon 9 9 100%

2020 Hypolimnion Morning 11 1 9%

Afternoon 9 2 22%

CL09 2015 Epilimnion

Morning 11 11 100% Afternoon 9 9 100%

2020 Hypolimnion Morning 11 2 18%

Afternoon 9 1 11%

CL10 2015 Epilimnion

Morning 8 8 100% Afternoon 8 8 100%

2020 Hypolimnion Morning 7 3 43%

Afternoon 8 5 63%

Note: Only events shown are those when thermal stratification was present at the time of monitoring. No measurements were taken in the afternoon for October 2015 or September 2016 events.

52

Canyon Lake Dissolved Oxygen – Morning vs. Afternoon TMDL Compliance by Season July 2015 to June 2017

Plotting mean difference in Morning vs. Afternoon DO values * = Statistically Significant Morning vs. Afternoon Note: Positive values represent periods when DO increased from morning to afternoon, negative values indicate a decrease in DO from morning to afternoon No difference in mean DO was observed between morning and afternoon in epilimnion or hypolimnion at Site CL07 during summer periods

53

Lake Elsinore Dissolved Oxygen Do In-Lake Sondes Represent Lake-wide Conditions?

0 2 4 6 8 1 0 1 2 1 40

2

4

6

8

1 0

1 2

1 4

1 6

W a te r C o lu m n P ro f i le D O (m g /L )u s in g h a n d -h e ld m e te r s

In-L

ak

e S

on

de

DO

(m

g/L

) r 2 = 0 .9 4 3

G ra n d A v e n u e

0 2 4 6 8 1 0 1 2 1 40

2

4

6

8

1 0

1 2

W a te r C o lu m n P ro f i le D O (m g /L )u s in g h a n d -h e ld m e te r s

In-L

ak

e S

on

de

DO

(m

g/L

) r 2 = 0 .7 6 0

L a k e s h o r e

• Data points represent individual 1-m depth readings • Hand-held meter readings were taken immediately adjacent to in-lake sondes with

maximum 30-minute time difference

Hand-held Profiles vs. In-lake Sondes July 2015 to June 2017

54

Lake Elsinore Dissolved Oxygen – July 2015 to June 2017 Do In-Lake Sondes Represent Lake-wide Conditions?

Hand-held meter and In-lake sonde in general agreement

Hand-held meter and In-lake sonde not in agreement

Grand Avenue Sonde

Data points represent water column means

Lake Elsinore and Canyon Lake TMDL Water Quality Monitoring Update – 2016-17 Summary

Cyanobacterial Toxin

Monitoring

56

Lake Elsinore Cyanotoxin Bloom Water Samples 2016-2017

7/27 /1

6

8 /1/1

6

8 /9/1

6

8 /18 /1

6

8 /29 /1

6

9 /19 /1

6

1 0 /5/1

6

1 2 /8/1

6

2 /2/1

7

4 /7/1

7

6 /2/1

7

7 /27 /1

70

1 0

2 0

3 0

4 0

5 0

1 0 0

2 0 0

3 0 0

5 0 0 0

1 0 0 0 0

1 5 0 0 0

S a m p lin g D a te

To

tal

Mic

roc

ys

tin

Co

nc

en

tra

tio

n (

ug

/L)

B o a t R a m p - S W

C e n te r L a k e - D IW

E lm G ro v e B e a c h - S W

C e n te r L a k e - S W

H u m a n H e a lth T h re sh o ld sC a u tio n = 0 .8 u g /LW a rn in g = 6 .0 u g /LD a n g e r = 2 0 u g /L

57

Lake Elsinore Cyanotoxin Bloom Scum Samples 2016-2017

7 /27 /1

6

8 /1/1

6

8 /9/1

6

8 /18 /1

6

8 /29 /1

6

9 /19 /1

6

1 0 /5/1

6

1 2 /8/1

6

7 /27 /1

70

1 0 0

2 0 0

3 0 0

4 0 0

5 0 0

1 5 0 0 0

3 0 0 0 0

4 5 0 0 0

6 0 0 0 0

7 5 0 0 0

9 0 0 0 0

S a m p lin g D a te

To

tal

Mic

roc

ys

tin

Co

nc

en

tra

tio

n (

ug

/L)

B o a t R a m p - S c u mC e n te r L a k e - S c u m

H u m a n H e a lth T h re sh o ld sC a u tio n = 0 .8 u g /LW a rn in g = 6 .0 u g /LD a n g e r = 2 0 u g /L E ls in o re W e s t M a rin a - S c u m

58

Satellite Imagery Cyanotoxin Indicator – July 2017

59

Questions?

60

Back Up Slides

61

Cyanotoxin Concentrations– Lake Elsinore 2016-2017

Analytes Microcystin Concentration (ug/L)

July 27 Aug 1 Aug 9 Aug 18 Aug 29 Sept 19 Oct 5 Dec 8 Feb 2 Apr 7 Jun 2 La Laguna Boat Ramp

- Scum 26500 19450 382 26000 23425 6600 201

La Laguna Boat Ramp - Surface Water 5.36 11.6 77.5 5950 27.5 19.4 2.35 4.19

Center Lake - Depth Integrated Water 5.3 8.9 7.2 30.6 13.5 20 1.4

Center Lake - Scum 93500 3110 70 114 Center Lake - Surface

Water 161 10.6 15.3 1.59 3.87 1.2

Elm Grove Beach - Surface Water 326 163 172 10900 35 56 2.79 2.7

California CyanoHAB Trigger Levels for Human Health (ug/L)

Toxin Caution – Action Trigger Warning – Tier 1 Danger – Tier 2

Microcystin 0.8 6.0 20

August 16, 2017 Lake Elsinore/Canyon Lake Task Force Meeting

Revision of the Lake Elsinore & Canyon Lake Nutrient TMDL

CDM Smith Team & Risk

Sciences

Implementation Framework

Presentation Outline

• Review of completed draft TMDL elements • Consideration of concentration based allocations • Implementation framework • Supplemental project options • Schedule

Completed Draft TMDL Elements

TMDL Elements

• Draft chapters 1-6 submitted to Task Force

• Remaining elements for TMDL include implementation and monitoring

Allocations

Allocations

• 2004 TMDL – 10 year average mass

• Draft TMDL revision – Hydrology representative of reference watershed (zero

imperviousness) • Concentration-based approach to TMDL revision

– Demonstrate with lake models that natural mass based allocation is not best water quality

– Allows for managed lake condition – prevent future Lake Elsinore desiccation

Concentration-Based Allocations

• Allows current runoff volumes at reference concentrations • Encourages delivery of more water volume to lakes

– Recycled water and stormwater runoff • Water quality benefit of higher lake levels, flushing, dilution

of TDS • Linkage analysis to compare

in lake response for mass and concentration based allocations

• Which allocation approach yields highest attainable use (HAU)

Preliminary results from Anderson, 2016.

Concentration-Based Allocations

• Increased volume with watershed development

Lake Segment Average Reference Volume (AFY)

Average Current Volume (AFY) Ratio

Canyon Lake (Main Lake) 3,997 5,802 1.452

Canyon Lake (East Bay) 1,797 2,546 1.417

Lake Elsinore 6,903 9,087 1.316

Concentration-Based Allocations

• Reference concentration from Cranston Guard Station data

• Comparable to grab samples from other mostly undeveloped sites in SJR watershed

Concentration-Based Allocations

• Reference concentration versus reference mass based allocations

• Allowable TP as kg/yr

Lake Segment Reference Volume, Reference TP Concentration

Current Volume, Reference TP Concentration

Canyon Lake (Main Lake) 1,528 2,219

Canyon Lake (East Bay) 687 974

Lake Elsinore 2,640 3,475

Concentration-Based Allocations

• Reference concentration versus reference mass based allocations

• Allowable TN as kg/yr

Lake Segment Reference Volume, Reference TN Concentration

Current Volume, Reference TN Concentration

Canyon Lake (Main Lake) 4,684 6,800

Canyon Lake (East Bay) 2,106 2,984

Lake Elsinore 8,090 10,650

Concentration-Based Allocations

• Multi-decadal hydrologic average needed to represent Lake Elsinore inflows

• Concentration-based allocation would remove hydrology from allowable mass calculation

Implementation Framework

Implementation Framework

• Load reduction required = current minus allowable • Allowable is increment attributable to anthropogenic

influence – Hydrology – Nutrient concentrations

• Quantify reduction credits from ongoing implementation of existing controls

• Supplemental projects needed if existing controls do not provide required load reduction

Nutrient Load Reduction Credits

• Demonstration of Load Reductions from source control, structural, and in-lake nutrient controls

Existing controls

• Summary of nutrient reduction credits to each lake segment with ongoing implementation of existing controls

• Table based on 2015 deployment data

Controls TP (kg/yr) TN (kg/yr)

CL – East Bay

CL – Main Lake

Lake Elsinore

CL – East Bay

CL – Main Lake

Lake Elsinore

Source Control (street sweeping, CB cleaning) 163 414 488 543 1380 2661

Structural (WQMPs) 63 263 236 105 689 515

Agriculture CWAD (projected deployments) 166 289 1 357 639 3

In-Lake (Alum, LEAMS) 419 858 7,000 0 0 44,000

Total 811 1,824 7,725 1,005 2,708 47,179

Conformance Assessment

• Supplemental projects needed if existing controls do not provide required load reduction

Conformance assessment for 2015 Deployments

Conformance assessment for 2015 Deployments

• Canyon Lake – East Bay • Further load reductions may not be required if response

targets achieved

Canyon Lake – East Bay TP (kg/yr) TN (kg/yr)

Mass-based Concentration-based Mass-based Concentration-based

Current External Load without BMPs 1,858 7,763

Allowable Load 687 974 2,106 2,984

Load Reduction Required 1,171 884 5,657 4,779

Load Reductions Achieved (2015) 811 1,005

Unmet Load Reductions 360 70 4,652 3,774

Conformance assessment for 2015 Deployments

• Canyon Lake - Main Lake • Further load reductions may not be required if response

targets achieved

Canyon Lake – Main Lake TP (kg/yr) TN (kg/yr)

Mass-based Concentration-based Mass-based Concentration-based

Current External Load without BMPs 3,621 16,959

Allowable Load 1,528 2,219 4,684 6,800

Load Reduction Required 2,093 1,402 12,275 10,159

Load Reductions Achieved (2015) 1,824 2,708

Unmet Load Reductions 269 -422 9,567 7,451

Conformance assessment for 2015 Deployments

• Lake Elsinore quantitative conformance assessment is still being developed

• Internal load accounts for majority of nutrients in water column

• Reducing external loads to reference levels requires much less credits than estimated to be achieved from ongoing in-lake controls

Supplemental Project Concepts

Alternatives Analysis

• Numerous prior broad scale alternatives analysis – CDM, 2013. CNRP and AgNMP – Risk Sciences, 2007. In-Lake Nutrient Reduction Plans – CH2MHILL, 2004. Lake Elsinore Nutrient Removal Study – Tetra Tech, 2004. San Jacinto Nutrient Management Plan – Horne, 2002. Restoration of Canyon Lake and Benefits to Lake Elsinore – Black and Veatch, 1994. Lake Elsinore Water Quality Management Plan

• TMDL revision summarize findings of prior analyses and characterize options

• Different controls for Canyon Lake and Lake Elsinore • Numerous project specific studies

– Alum, aeration, HOS, recycled water, dredging, levee, fishery management, well augmentation, etc.

Water Quality Strategies

• General categories – Nutrient reduction – Algae control – Oxygenation – Hydrologic Flushing

• Projects use one or more water quality strategies • Quantification of benefits with lake models

EVMWD Effluent Polishing

• Reduce EVMWD effluent to 0.1 mg/L with additional chemical addition

• Currently permit for ~0.5 mg/L for 6000 AFY • Achieving ~0.35 mg/L • Increment below reference level is credit in concentration

based approach • Increase P reduction by ~1500 kg/yr

Alum in Lake Elsinore

• Already done for recycled water • Via surface spreading or with inflows • Ideally to be applied when pH is low • Grand Lake St Mary’s – Ohio largest inland lake

– Alum treatment over entire 12,680 acre lake surface – ~50 percent reduction in TP lakewide

• Treatment in San Jacinto River

Back Bay Wetlands

• Prior study involved routing of wet weather inflow through Back Bay wetland area

• Recirculation alternative to have continuous treatment of Lake Elsinore

Alum Treatment of Canyon Lake Inflows

• Continuous alum treatment of lake inflows • More efficient flocculation with lower pH • Eliminates timing decisions of winter/spring surface spreading • Treated runoff may overflow to Lake Elsinore • Prior concept level design

• 5,000 gallon storage tank w/secondary spill containment • 15 gpm dual feed flow paced pumps w/telemetry • 1,000 ft 2” PVC feed pipe w/ anchors • Submerged downward emitter(s) w/screening • Order of magnitude capital cost - $100,000/station • Alum chemical cost and O&M

Hypolimnetic Oxygenation System

• Oxygenate Canyon Lake bottom waters

• Improves DO • Reduce internal nutrient loads

by ~70% phosphorus and 35% ammonia-N

• Limited benefit to East Bay

Dredging

• Remove sediment and source of internal nutrient load • Cost prohibitive for a large treatment area • Restores storage capacity filled in from decades of

sedimentation – Canyon Lake sedimentation has reduced storage capacity from

13,000 AF to 8,000 AF • Dry dredging in East Bay more efficient and cost effective

Indirect Potable Reuse

• Would add treated wastewater effluent near inflows of Canyon Lake to allow increased diversion at the existing intake by EVMWD

• Mutual water quality benefits – Enhanced flushing – Deeper water depths – Dilution of nutrients with AWT water

• Review Feasibility Study recommendations

Artificial Circulation in Canyon Lake

• Larger conveyance system • SWP/Colorado River water • IPR discharge • Prior concept level design

– Flow capacity: 8,000 gpm (or 11.5 mgd) – 16,350-ft, 30-inch pipeline – 400 HP Pump Station – Riser Intake with mechanical sluice

gates – Riser Outfall – Rock protection at Intake/Outfall areas

and over submerged pipe within lake

Biomanipulation

• Introduce fish species or zooplankton that feed on most problematic algae

• Fishery Management Plan • Must account for TDS in update to FMP

Vegetation Management

• Active vegetation management • Macrophyte along shoreline • Lake level stabilization • Floating islands

Ultrasonic Algae Control

Uses ultrasonic waves to destroy algae cells

Low ongoing operational cost, after initial capital cost

Requires continuous operation to prevent growth

Limited treatment area Potential for release of toxins

into water column from dead algae cells

Further study needed to assess impacts to non-target organisms

35

Sources: SonicSolutions and Wagner, 2004.

Algaecide

Use of copper sulfate or hydrogen peroxide to temporarily reduce algae

Improves effectiveness of other nutrient reduction strategies

36

Physical Harvesting

Reduce algae in lake Removes nutrients and toxins in algae from system

37

San Jacinto River Gap

• Significant increase in annual average runoff volume

• Incentive upstream communities currently benefiting from Mystic Lake retention

Source: Tetra Tech, 2007. San Jacinto Gap Feasibility Study.

Diversion/Retention of Runoff

• Increased watershed runoff retention • Bypass flows in San Jacinto River to Temescal Creek • Effectively eliminate nutrient load, but also source of most

water to Lake Elsinore • Water rights considerations

Allowing Lakebed Desiccation

Allow for natural reset mechanism

40

Other Ideas?

41

Next Steps

TMDL Implementation Chapter

Characterization of water quality strategies Estimation of water quality benefits with lake models Provides basis for updating CNRP and AgNMP Does not rank or recommend specific projects

Schedule

Implementation chapter draft – October 15 Monitoring chapter draft – November 1

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