19
1 Modeling Sediment and Nutrient Loads Input to Great Lakes and Effects of Agricultural Conservation Practices on Water Quality C. Santhi and CEAP National Assessment Team Texas A&M University System, Temple, Texas

Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

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Page 1: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

1

Modeling Sediment and Nutrient Loads Input to

Great Lakes and Effects of Agricultural

Conservation Practices on Water Quality

C. Santhi and CEAP National Assessment Team

Texas A&M University System, Temple, Texas

Page 2: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

• CEAP National Assessment

- CEAP/SWAT/APEX Modeling Approach

• Great Lakes Basin – Calibration and Validation

• Determine the Sediment and Nutrient Load Input to each

of the Great Lakes

• Determine the Major Sources of Sediment and Nutrients

discharged to local waters in Great Lake Basin

• Determine the Off-site Benefits of Agricultural

Conservation Practice Scenarios on Water Quality in each

of the Great Lakes

Presentation Overview

Page 3: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

3

Conservation Effects Assessment

Project (CEAP) - National Assessment

To measure the environmental benefits of conservation

programs currently on cropland

at regional/national level, and

To assess the potential environmental benefits of additional

conservation treatment needs to meet the nation’s natural

resources

CEAP – Cropland National Assessment : Goal

Conservation programs/practices implemented in the US since

1960’s and earlier to increase agricultural production, control soil

erosion and nutrient losses and sustain the environment

Page 4: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

Cultivated Cropland &CRP: Edge of field flow, sediment, nutrient & pesticide loadings from subareas with practices

Uncultivated Land: Flow, sediment, nutrient and pesticide loadings from HRUs

1. Current Conservation Baseline: SWAT simulation using APEX output with current conservation practices 2. No Practice: SWAT simulation using APEX output without conservation practices3. Additional Treatment Need: SWAT simulation using APEX output with ENMC and ENMA4. Background: SWAT simulation using APEX output with background grass-tree mix condition

1. Reductions in sediment, nutrients and pesticide yields and loads at 8-digit watersheds due to current conservation practices and additional treatment practices on cropland2. Reductions in instream loads at river points due to current conservation and additional treatment scenarios

Instream Processes: Routing through reach, ponds, reservoirs to 8-digit watershed outlet & through main river reaches to basin outlet

NRI/Survey/Conservation Practice Details- Structural Practices- Cultural Management Practices- Practice Acres- Farming Activities/Survey Database- NRI

Watershed Configuration Details(Subbasins/Rivers/Routing/Reservoirs)

Weather (Precipitation, Temperature and others)

Dry and Wet Atmospheric Nitrogen Deposition

INTEGRATE APEX OUTPUT

SCENARIOS

(Calibrated)(Calibrated)

RESULTS

Conservation Scenarios1. Current Conservation Baseline: APEX inputs with current conservation practices from CEAP survey 2. No Practice: APEX inputs without conservation practices3. Additional Treatment Need: APEX inputs with different combinations of practices & practice acres (ENMC and ENMA)4. Background: APEX inputs with grass-tree mix condition on cropland

Effects on Edge of Field Water Quality

Effects on Local/Instream Water Quality

Point Sources: Flow, TSS and nutrient loadings from Municipal and IndustrialPlants

CEAP/SWAT/APEX National Modeling System

Landuse, Soils and Management Practices

Page 5: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

5

Largest surface freshwater system

in the world (21%). 84% of US

Water Supply.

Population: 30 Million

Drainage Area: 521, 830 km2 (US and Canada) (451,545 km2)

7% - U.S. Farm Production

25% - Canadian Ag. Production

Dominant source of sediment and nutrients to the Lakes

Eutrophication–Low DO-Fish Kill

Lake Erie: P enrichment; Algal bloom

Great Lakes Basin

Page 6: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

Cropland %

Figure. 1. Great Lakes Basin with gages and cropland area distribution

Page 7: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

Calibration and Validation Gages

Gauging Station Name Gage ID

on Map

Hydrologic

Unit Code

Lake Drainage

Area (km2)

Calibration Gages

St Louis River at Scanlon, MN S1 04010201 Superior 8,884

Fox river at Appleton, WI S2 04030204 Michigan 15,411

Grand River at Grand Rapids, MI S3 04030204 Michigan 12,691

Saginaw River at Saginaw, MI S4 04080206 Huron 15,695

Maumee River at Waterville, OH S5 04100009 Erie 16,395

Sandusky River near Fremont OH S6 04100011 Erie 3,240

Oswego River at Oswego, NY S7 04140203 Ontario 13,209

Validation Gages

Ontonagon River near Rockland, MI S8 04020102 Superior 3,471

St. Joseph River at St. Joseph, MI S9 04050001 Michigan 12,095

Grand River at Eastmanville, MI S10 04050006 Michigan 13,701

River Raisin near Monroe, MI S11 04100002 Erie 2,699

Cuyahoga River Independence, OH S12 04110002 Erie 1,831

Grand River near Painesville OH S13 04110004 Erie 1,774

Page 8: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

a) Streamflow Calibration

y = 1.05x

R2 = 0.91

0

50

100

150

200

250

0 50 100 150 200 250

Observed Flow m3/s

Sim

ula

ted

Flo

w m

3/s

b) Sediment Calibration

y = 0.902x

R2 = 0.998

0

500

1000

1500

2000

0 500 1000 1500 2000

Observed Load (1000 Tonnes)

Pre

dic

ted

Lo

ad

(1000 T

on

nes)c) Total Nitrogen Calibration

y = 0.993x

R2 = 0.872

0

15000

30000

45000

60000

0 15000 30000 45000 60000

Observed Load (Tonnes)

Pre

dic

ted

Lo

ad

(T

on

nes)

d) Total Phosphorus Calibration

y = 1.007x

R2 = 0.853

0

1000

2000

3000

0 1000 2000 3000

Observed Load (Tonnes)

Pre

dic

ted

Lo

ad

(T

on

nes)

a) Annual Flow at Waterville, OH on the Maumee River

0

200

400

600

800

1000

19

61

19

63

19

65

19

67

19

69

19

71

19

73

19

75

19

77

19

79

19

81

19

83

19

85

19

87

19

89

19

91

19

93

19

95

19

97

19

99

20

01

20

03

20

05

Flo

w (

mm

)

Observed Predicted

b) Sediment Load at Waterville, OH on the Maumee River

0

2

4

6

8

19

61

19

63

19

65

19

67

19

69

19

71

19

73

19

75

19

77

19

79

19

81

19

83

19

85

19

87

19

89

19

91

19

93

19

95

19

97

19

99

20

01

20

03

20

05

Lo

ad

(M

illio

n T

on

ne

s)

Observed Predicted

c) Total Nitrogen Load at Waterville, OH on the Maumee River

0

30

60

90

120

19

74

19

76

19

78

19

80

19

82

19

84

19

86

19

88

19

90

19

92

19

94

19

96

19

98

20

00

20

02

20

04

Year

Lo

ad

(1

00

0 T

on

ne

s)

Observed Predicted

d) Total Phosphorus Load at Waterville, OH on the Maumee River

0

2,000

4,000

6,000

8,000

19

74

19

76

19

78

19

80

19

82

19

84

19

86

19

88

19

90

19

92

19

94

19

96

19

98

20

00

20

02

20

04

Lo

ad

(T

on

ne

s)

Observed Predicted

Calibration Results at the Gages

Page 9: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

a) Streamflow Validation

y = 1.03x

R2 = 0.99

0

50

100

150

200

0 50 100 150 200

Observed Flow m3/s

Pre

dic

ted

Flo

w m

3/s

b) Sediment Validation

y = 1.6069x

R2 = 0.8422

0

50000

100000

150000

200000

250000

0

50000

100000

150000

200000

250000

Observed Sediment (Tonnes)

SW

AT

Sed

imen

t (T

on

nes)

c) Total Nitrogen Validation

y = 1.5674x

R2 = 0.95

0

5000

10000

15000

20000

25000

0 5000 10000 15000 20000 25000

Flux MasterTN (Tonnes)

SW

AT

TN

(T

on

nes)

d) Total Phosphorus Validation

y = 1.2766x

R2 = 0.7162

0

200

400

600

800

0 200 400 600 800

Flux Master TP (Tonnes)

SW

AT

TP

(T

on

nes)

Validation Results at the Gages

Page 10: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

1) Estimate the sediment and nutrient loads delivered to

discharged to each Great Lake,

2) Determine the major sources of sediment and

nutrients delivered to local waters in each Great

Lakes Basin, and

3) Evaluate the effects of current agricultural

conservation practices and future conservation needs

on water quality in the Great Lakes Basin

Specific Objectives

Page 11: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

11

Loads Discharged to Great Lakes: Prediction and Validation

a) Total Nitrogen Discharges to the Great Lakes

y = 1.04x

R2 = 0.63

0

25,000

50,000

75,000

100,000

125,000

150,000

0

25,0

00

50,0

00

75,0

00

100,0

00

125,0

00

150,0

00

SPARROW Total N (Tonnes/Yr)

SW

AT

To

tal N

(T

on

nes/Y

r)

b) Total Phosphorus Discharges to the Great Lakes

y = 1.39x

R2 = 0.93

0

2,000

4,000

6,000

8,000

0 2,000 4,000 6,000 8,000

SPARROW Total P (Tonnes/Yr)

SW

AT

To

tal P

(T

on

nes/Y

r)

(without wind, gully and

bank erosion)

Sediment and Nutrient Loads Delivered to Great Lakes (CEAP)

658,3512,469,382 1,126,735

3,528,0781,340,833

9,506

116,59949,252

113,37941,324

563

4,0141,522

6,721 3,290

110

1001,000

10,000100,000

1,000,00010,000,000

Lake Superior Lake

Michigan

Lake Huron Lake Erie Lake Ontario

Load

s (T

on

nes

)

Sediment Nitrogen Phosphorus

Page 12: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

c) Phosphorus

Cultivated Cropland

Grassland

Urban (Non-point)

Forest and Others

Point Sources

Sources of Sediment and Nutrients

Page 13: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

13

Practices Simulated Within APEX

In-field Practices for Erosion Control

• Contour Farming

• Strip Cropping

• Contour Buffer Strips

• Terraces

• Grass Terraces

• Tile Drain

• Grade Stabilization Structures

• Grassed Waterways

• Diversion

Edge of Field Practices for buffering• Filter Strips • Riparian Forest Buffers• Riparian Herb. Cover• Field Borders• Vegetative Barrier Wind Erosion Control

Practices• Windbreak / Shelterbelt• Herbaceous Wind Barrier• Hedgerow planting• Cross Wind Practices

a) Structural Practices

b) Cultural/Agronomical Management PracticesResidue, tillage, nutrient, pesticide and irrigation management

practices and cover crops

c) Long-term conservation cover:

Grass/trees planted on cropland

Page 14: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

14

Conservation Practice Scenarios

Scenarios Practice Details Cropland

& CRP (%)

No Practice No practices on cropland 100

Current Conservation

Condition (Baseline)

Current conservation practices

on cropland100

Enhanced Nutrient

Management on Critically

under-treated cropland

(ENMC)

Practices on critically-under

treated area have a high

treatment need 16

Enhanced Nutrient

Management on all

under-treated cropland

(ENMA)

Practices on under treated area

have either a high or moderate

treatment need44

Background Grass-Tree mix grown on

cropland. No cultivated land

contribution

100

US Basin Area (km2) 451,545

Cropland & CRP (km2) 72,250

Page 15: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

a) Edge of Field Sediment Loads and Reductions in the Great Lakes Basin

4350

44

5550

15

30

1421

30

47

6254 57 60

0

1

2

3

4

5

6

7

8

Superior Michigan Huron Erie Ontario

Lo

ad

(M

ill.

To

nn

es)

0

20

40

60

80

100

No Practice Baseline ENMC ENMA

Background Baseline Reduction ENMC Reduction ENMA Reduction

b) Edge of Field Nitrogen Loads and Reductions in the Great Lakes Basin

4741

3631

35

45

20 22

8

34

47

37 3832

53

0

50,000

100,000

150,000

200,000

Superior Michigan Huron Erie Ontario

Lo

ad

(T

on

nes)

0

20

40

60

80

100

No Practice Baseline ENMC ENMA

Background Baseline Reduction ENMC Reduction ENMA Reduction

c) Edge of Field Phosphorus Loads and Reductions in the Great Lakes Basin

5350

3532 3432

1510

6

30

4037 38

35

50

0

5,000

10,000

15,000

20,000

Superior Michigan Huron Erie Ontario

Lo

ad

(T

on

nes)

0

20

40

60

80

No Practice Baseline ENMC ENMA

Background Baseline Reduction ENMC Reduction ENMA Reduction

Edge of Field Water Quality Benefits: Conservation Scenarios

Reductions in Edge of Field Loads from Cropland

Page 16: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

a) Instream Sediment Load to Great Lakes

1

14

6

10 10

0.34

1 2

7

0.8

10

4 6

11

0

1

2

3

4

Superior Michigan Huron Erie Ontario

Lo

ad

(M

ill

To

nn

es)

0

10

20

30

40

50

No Practice Baseline ENMC ENMA

Background Baseline Reduction ENMA Reduction ENMA Reduction

b) Instream Nitrogen Load to Great Lakes

18

3933

2832

6 813

4

13

6

14

21

1420

0

40,000

80,000

120,000

160,000

200,000

Superior Michigan Huron Erie Ontario

Lo

ad

(T

on

nes)

0

20

40

60

80

100

No Practice Baseline ENMC ENMA

Background Baseline Reduction ENMC Reduction ENMA Reduction

c) Instream Phosphorus Load to Great Lakes

5

33

22

16

11

26 5

2

9

2

12

17 17 16

0

4,000

8,000

12,000

16,000

Superior Michigan Huron Erie Ontario

Lo

ad

(T

on

nes)

0

10

20

30

40

50

No Practice Baseline ENMC ENMA

Background Baseline Reduction ENMC Reduction ENMA Reduction

Instream Water Quality Benefits: Conservation Scenarios

Reductions in Loads Discharged to the Lakes

Page 17: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

Conclusions from Assessment on Great Lakes

• Conservation practices reduces field level losses of sediment,

nutrients and pesticides. Benefits of the practices are better

reflected and greater at field level.

• Conservation practices improves water quality of streams and

rivers, lakes and other water bodies in the river basin.

• Targeting critical acres improves effectiveness of conservation

practices significantly.

• Modeling can aid in all of the above processes.

• Modeling system is available to study other emerging issues on

future conservation programs, eutrophication, algae blooms,

climate change, and restoration efforts.

Page 18: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

Thank You Thank you !!!

Grazie !!!

Page 19: Modeling Sediment and Nutrient Loads Input to Great Lakes and … · 2015-07-01 · 100 150 200 250 0 50 100 150 200 250 Observed Flow m3/s s b) Sediment Calibration y = 0.902x R2

Conservation Practices in Great Lakes

Structural Practices % of

Cropland

In field overland flow control practices such as contour farming, strip

cropping, contour buffer strips, terraces, grass terraces and tile drain

9

In field concentrated flow control practices such as grade stabilization

structures, grassed waterways and diversion

12

Edge-of-field buffering and filtering practices such as filter strips,

riparian forest buffers, riparian herbaceous cover and field borders

12

One or more structural practices for water erosion control 26

Wind erosion control practices 4

Cultural Management Practices and CRP

Crop rotation meeting the criteria for no-till or mulch 82

Reduced tillage on some crops in rotation but average annual tillage

intensity greater than criteria for mulch till 9

Continuous conventional tillage in every year of crop rotation 9†All crops in rotations in meeting appropriate rate, timing and method

of nitrogen application 18

Crops in rotations in meeting the appropriate rate, timing and method

of phosphorus application 29

Cover crops <1

Long-term cover establishment/CRP as % of cropland <1