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Interpreting and Using Existing Data to Identify Pollution Causes and Sources
26

Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Dec 19, 2015

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Page 1: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Interpreting and Using Existing Data to Identify

Pollution Causes and Sources

Page 2: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Confirm impairments and identify pollutants

Compare available monitoring data to wqs:• Document magnitude of impairment• Document seasonal/temporal patterns• Document spatial distribution

Page 3: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Spatial Analysis

• Isolate critical subwatersheds• Combine with land use/land cover data

Page 4: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.
Page 5: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.
Page 6: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.
Page 7: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Flow Relationships

• Point vs. Nonpoint

Page 8: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Flow Relationships

• Point vs. Nonpoint

Page 9: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.
Page 10: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Temporal Analysis

• Seasonality• Stratify data by potential source activities

– Tillage– Crop canopy development– Manure/fertilizer applications– Grazing season– Logging– Construction projects– Street cleaning

Page 11: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Other tools:

• Stakeholder knowledge• Direct observation (streamwalk)• Specialized tools, e.g., microbial source

tracking, ground water aging

Page 12: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Supplementing available data

– Windshield surveys– Interviews with residents– Volunteer monitoring– Bioassessment– Targeted sampling– Chemical/biological sampling

Helps lay the groundwork for implementation!

Page 13: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Examples

Page 14: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

St. Albans Bay VT RCWP

• Known WQ impairment due to eutrophication– Obvious algae blooms & macrophyte growth– Declining State Park visits, beach closures– State DEC P monitoring

• Excessive P loads to Bay• 75% point source/25% nps

• NRCS knowledge about current status of animal waste management, milkhouse waste, cropland erosion

Page 15: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

St. Albans Bay VT RCWP

Page 16: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Lake Pittsfield IL

• Lake Pittsfield is a 220 ac lake located near the city of Pittsfield in the 25,393 ac Blue Creek watershed in Pike County, western Illinois

• Constructed in 1961 as a flood control reservoir.

• Sediment deposition the dominant water quality problem

Page 17: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

0

500

1000

1500

2000

2500

3000

3500

4000

1961 1974 1979 1985 1992

Lak

e V

olu

me

(ac-

ft)

0

100

200

300

400

500

600

700

800

900

1000

Sed

imen

t V

olu

me

(ac-

ft)

Lake volume Sediment volume

Lake Pittsfield IL

Page 18: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

• 1979 vegetative practices on agricultural land slowed sedimentation rate

• Lake sedimentation still higher than desired• Additional practices needed – WASCOBs and

sediment retention basins

Lake Pittsfield IL

An

nu

al S

edim

ent

Yie

ld (

ton

s/ac

re)

or

Y

ield

/Dis

char

ge (

ton

s/ac

-ft)

0

2

4

6

8

10

12

WASCOBs installedConstruction of 12 rock riffles (Newbury Weirs)Station D annual sediment yield (tons/acre)Station C annual sediment yield (tons/acre)Station D yield/discharge (tons/ac-ft)Station C yield/discharge (tons/ac-ft)

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004

Page 19: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

VT 319 NMP

04-Jan-9512-Apr-95

19-Jul-9530-Oct-95

07-Feb-9615-May-96

19-Aug-9616-Dec-96

31-Mar-9702-Jul-97

06-Oct-9721-Jan-98

29-Apr-9829-Jul-98

09-Nov-98

1

10

100

1000

10000

100000

1000000

E C

oli

Co

un

ts (

#/10

0 m

l)

WS 1

WS 2

WS 3

E. Coli Counts 1995 - 1998Lake Champlain Basin Ag Watersheds NMP Project

Page 20: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

VT 319 NMP

0.1 1 10 100 1000

Instantaneous Streamflow (ft3/sec)

1

10

100

1000

10000

100000

1000000

E. C

oli C

ount

s (#

/100

ml)

Streamflow and E. Coli CountsWS 2 1995 - 1998

Lake Champlain Ag Watersheds NMP Project

Page 21: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

VT 319 NMP

0.1 1 10 100 1000

Instantaneous Streamflow (ft3/sec)

1

10

100

1000

10000

100000

1000000

E. C

oli C

ount

s (#

/100

ml)

WinterSummer

Seasonal Streamflow and E. Coli CountsWS 2 1995 - 1998

Lake Champlain Basin Ag Watersheds NMP Project

Page 22: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

VT 319 NMP

Page 23: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

VT 319 NMP

Page 24: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Identification of stressors

• Where causes of biological impairment are unknown, use characterization data to help identify stressors

Page 25: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Stressor Identification

Page 26: Interpreting and Using Existing Data to Identify Pollution Causes and Sources.

Stressor Identification

Resources:• USEPA Stressor Identification Guidance Document

www.epa.gov/waterscience/biocriteria/stressors/stressors.html

• USEPA Causal Analysis/Diagnosis Decision Information System (CADDIS) http://cfpub.epa.gov/caddis/home.cfm