2009 ANNUAL REPORT
FINAL
NOVEMBER 2010
Prepared for:
ONONDAGA COUNTY DEPARTMENT OF WATER ENVIRONMENT PROTECTON
Prepared by:
EcoLogic, LLC Aquatic, Terrestrial and Wetland Consultants Cazenovia, NY Lars Rudstam, Ph.D. Cornell Biological Field Station Anchor
QEA, LLC |
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A MESSAGE FROM THE
As in 2008, the 2009 AMP annual report is a concise summary of
major findings with links to supporting information. This paperless format was
developed to advance two objectives: first, to reach a broader audience, and
second, to continue to find ways to reduce our environmental footprint, through
our commitment to green initiatives. We are confident that this format will
enable more of our County leaders and citizens to become better informed
regarding the condition of
Joanne C. Mahoney
Onondaga
_____________________________________________________________________________________
A MESSAGE FROM THE
COMMISSIONER OF WATER ENVIRONMENT PROTECTION
The Department of Water Environment Protection is responsible
for collecting and treating wastewater from homes and businesses throughout the
County. As Commissioner, I am proud to lead our dedicated staff under a name
that reflects
Patricia M.
Pastella, P.E., BCEE
Commissioner
Key
Features of this Report
This report presents the findings of
The 2009 report was prepared and distributed as an electronic
document. Key results and supporting tables and graphics are included in the main
document, with links to supporting tables, technical reports and graphics in an
electronic library. The report and supporting files are available on CD and on
the
Once in the library of supporting documents, the reader can navigate back to the main report using web browser navigation tools. There are more than 500 supporting tables and graphics in the library of supporting materials. While each hyperlink has been checked, it is possible that some features may not be enabled on every computer’s operating system. Feedback on the functionality of the electronic features of the document is welcome, please contact JeannePowers@ongov.net with comments.
TABLE OF CONTENTS
1.2 Ambient Monitoring Program Design
1.3 Turning Data into Information: Metrics
1.5 Timeline of Onondaga Lake and Watershed
Events, 1998-2009
2. Onondaga Lake and its Watershed
3. Tributary
Results: 2009 Water Quality Status and Trends
3.2 Tributary Water Quality and Annual Loads
Compliance with Ambient Water Quality Standards
Compliance with Metro SPDES Permit
4. Onondaga Lake: 2009 Water Quality Status
and Trends
4.1 Trophic State Indicator Parameters
Total
Phosphorus (TP)
4.4 Metro Improvements and Lake Response
5. Biology and Food Web: 2009 Results and
Trends
6. Integrated Assessment of the Food Web
7. Progress with Related Initiatives
LIST
OF TABLES AND FIGURES BY SECTION
EXECUTIVE SUMMARY
Table EX-1 Summary
of Metrics, Onondaga Lake 2009.
SECTION 1: Introduction to
the AMP
Table 1-1. Summary of Current Fish Consumption
Advisories for Onondaga Lake.
Table 1-2 Metro
Compliance Schedule.
Table 1-3 CSO
Compliance Schedule.
Table 1-4 Data Analysis and Interpretation Plan.
Table 1-5 Summary
of metrics used to evaluate progress toward improvement.
Figure 1-1 Tributary
and Lake Regulatory Classification and Subwatershed Boundaries.
Figure 1-2 Map
of monitoring locations, Onondaga Lake and tributaries.
SECTION 2:
Table 2-1 Morphometric
characteristics of Onondaga Lake.
Figure 2-1 Hydrologic
input to Onondaga Lake, as percent of total.
Figure 2-2 Land Cover Classes, 2001, Onondaga Lake
Watershed.
SECTION
3: Tributary Results: 2009 Results and Trends
Table 3-3 Annual loading of selected water quality
parameters to Onondaga Lake, 2009.
Table 3-4 Percent annual loading contribution by
gauged inflow, 2009.
Figure 3-1 Metro
NH3-N, monthly average discharge compared to permit limit.
Figure 3-2 Metro
effluent compliance for total phosphorus concentration, 12-month rolling
average.
Figure 3-3 Metro
and Tributary Sources of TP to Onondaga Lake, 1998 to 2009.
Figure 3-4 Metro
and Tributary Sources of SRP to Onondaga Lake, 1998 to 2009.
Figure 3-6 Metro
Loading of Ammonia, Nitrite, Nitrate and Organic Nitrogen, 1998‐2009.
Figure 3-7 Onondaga
Lake Ammonia Sources, 1998 and 2009.
SECTION 4:
Table 4-2 Nearshore
Secchi disk transparency statistical summary for Onondaga Lake, 2009.
Figure 4-1 Onondaga
Lake Summer Average Total P Concentration (0‐3m), 1998‐2009.
Figure 4-2 Onondaga
Lake Summer Algal Bloom Frequency, 1998‐2009.
Figure 4-3 Onondaga
Lake Chlorophyll‐a
Concentration, 1998-2009.
Figure 4-5 Onondaga
Lake Secchi Disk Transparency, January‐December, 2009.
Figure 4-6 Carlson
Trophic State Index (TSI) Onondaga Lake, 1998- 2009.
Figure 4-7 Onondaga
Lake Fecal Coliform Bacteria Abundance, Summer Geometric Mean, 1999‐2009.
Figure 4-8 Onondaga
Lake Fecal Coliform Bacteria Compliance, April – October 2009.
Figure 4-10 Nitrogen:
Phosphorus Ratio, 1998‐2009.
Figure 4‐11 Onondaga Lake Minimum DO in upper waters (0-3m)
during fall mixing period, 1998‐2009.
Figure 4-13 Three
Rivers System Study Area.
SECTION 5: Biology and
Food Web: 2009 Results and Trends
Table 5-1 2009
Macrophyte Field Survey Results.
Table 5-2 List of Fish Species Identified in Onondaga
Lake, 2009
Figure 5-1 Reduction
in Onondaga Lake phytoplankton standing crop, 1998 - 2009.
Figure 5-2 2009
Proportional biomass of phytoplankton divisions in Onondaga Lake.
Figure 5-3 Onondaga
Lake Phytoplankton Community Structure and Biomass, February-December 2009.
Figure 5-4 Onondaga
Lake South Deep, comparison of diatoms and silica concentrations in 2009.
Figure 5-5 Average
biomass of zooplankton, proportion of major groups across time.
Figure 5-6 Biomass
of different Daphnia species in Onondaga Lake.
Figure 5-7 Time
trends in average size of all crustaceans from 1999 to 2009 in Onondaga Lake.
Figure 5-8 Average
crustacean zooplankton length (mm) in Onondaga Lake in 2009.
Figure 5-10 Onondaga
Lake Relative Abundance of Dreissenid Mussels, 2002-2009.
Figure 5-11 Comparison of DELTFM for all fish evaluated
with brown bullhead only.
SECTION 6: Integrated
Assessment of the Food Web
Figure 6-1 Food web effects on water clarity
SECTION 7: Progress with
Related Initiatives
No
figures or tables
SECTION 8: Emerging
Issues and Recommendations
No
figures or tables
SECTION 9: Literature
Cited
The 2009 Annual Report of
Onondaga County’s Ambient Monitoring
Program (AMP) provides an overview of the
results of the extensive monitoring effort underway to characterize
In 1998, an Amended Consent Judgment (ACJ) between
The AMP is designed to document the lake’s response to
pollution control measures. Samples are collected throughout the entire
watershed to identify sources of materials (nutrients, sediment, bacteria and
chemicals) to the lake. An intensive in-lake monitoring program examines water
quality conditions and the interactions between
Excessive
discharges of municipal and industrial wastewaters, structural modifications
resulting in altered water levels, loss of wetlands, and runoff from urban and
rural areas have degraded the quality of
In
light of the lake’s
water quality conditions, the primary focus of
the improvements to the wastewater treatment system has been to provide a
higher level of treatment for ammonia and phosphorus at Metro. Two new
treatment systems have been brought on line to reduce Metro’s discharge of
ammonia and phosphorus to
The
2009 results document the continued significant improvements in
Clearer
water allows light to penetrate deeper into the lake, and fosters the
proliferation of macrophytes (rooted aquatic plants and bottom-dwelling algae)
in nearshore shallow waters, to a water depth of six meters. The macrophyte community has also become
more diverse, as more species of plants have colonized the nearshore waters of
the lake. As these macrophyte beds have
spread around the perimeter of the lake, they have brought improved habitat
conditions. The populations of gamefish
such as largemouth and smallmouth bass have increased steadily since 2000.
The
2009 report highlights an expanded review of the lake’s fish community, tracking
changes over a full decade of AMP biological
monitoring (2000 –
2009). Overall, there has been an increase in
the quantity and quality of habitat, both littoral and pelagic, available to fish species. This has resulted in a slight increase in the
number of species present and a more even distribution of fish throughout the
lake. Many fish species, particularly
those associated with vegetated habitats, are also increasing in
abundance. The aquatic food web within
the lake continues to include new species, both native and non-indigenous
(exotic), with increasingly complex pathways of material and energy transfer
among the life stages of the biota. This increasing complexity with regard to
energy sources and energy flow results in an ecosystem that may be more
resilient to environmental stress. The
results of the 2009 AMP indicate that this is an ongoing process and that more
changes are likely to occur. As lake
water quality continues to improve, resulting in more diverse and higher
quality habitat conditions, increases in aquatic species diversity, abundance, and interrelatedness can also be expected.
Segments
of streams flowing into
Water
quality conditions in the
Onondaga County Department
of Water Environment Protection, in consultation with NYSDEC and the Onondaga
Lake Technical Advisory Group, has developed a suite of metrics to help organize and report on the extensive AMP
data set each year. These metrics relate to the lake’s designated “best use”
for water contact recreation, fishing and protection of aquatic life. The 2009
results (Table EX-1) document substantial progress toward attaining the
designated uses in
Table EX-1. Summary of 2009 Onondaga |
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Restoration
Goal |
Measured
By |
2009
Results |
Significance |
Suitability for Water Contact
Recreation |
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Indicator bacteria |
Fecal colilform bacteria abundance |
Met NYSDEC standards for water
contact recreation in Class B segments (200 cfu/ 100 mL, geometric mean of at
least 5 samples/month) |
Class B segments of the lake
exhibit water clarity and bacteria levels that would support swimming,
boating, waterskiing and other types of contact recreation. Class C segments
of the lake, which are close to the major tributaries, periodically exhibit
elevated bacteria and reduced water clarity conditions after storms. |
Water clarity |
Secchi disk transparency (nearshore stations) |
Met NYS Dept. of Health swimming
safety guidance value (1.2 m water clarity) for water contact recreation in
Class B segments |
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Aesthetic Appeal |
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Water clarity |
Secchi disk transparency (mid-lake station) |
Average June – Sept Secchi disk,
South Deep (mid-lake station): 3.2 m |
Total
phosphorus (total P) concentration in the lake’s upper waters during summer
(June- Sept) 2009 was 17 ug/L, within the NYSDEC guidance value of 20 ug/L
established to protect the aesthetic quality of lakes and ensure their
suitability for recreational use. The
low total P resulted in low algal abundance and clear water. The lake was
free of nuisance algal blooms, and cyanobacteria abundance was very low. |
Algal blooms |
Chlorophyll-a Total phosphorus in the upper
waters, June – Sept |
June
– Sept chlorophyll-a @ South Deep
(mid-lake station): 5.9 ug/L Low
algal abundance throughout the entire recreational period, no blooms Summer average TP: 17 ug/L |
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Algal community structure |
Abundance of cyanobacteria (blue-green algae) |
<1% of the algal community
was comprised of cyanobacteria |
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Aquatic Life Protection |
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Ammonia |
Measured in-lake concentrations,
year-round, all depths |
100% of measurements met NYS
standards, all depths |
The 2009 water quality
conditions fully support a diverse warm water aquatic biota. Prior to the ACJ
improvements to the wastewater collection and treatment system, elevated
concentrations of ammonia and nitrite N, and low concentrations of DO during
fall mixing, were measured in Onondaga Lake. These water quality parameters
are now in full compliance with ambient water quality standards established
to protect even the most sensitive species and life stages. |
Nitrite |
Measured in-lake concentrations,
year-round, all depths |
100% of measurements met NYS
standards, all depths |
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Dissolved oxygen (DO) |
In-situ buoys and frequent field
profiles during fall mixing (turnover), when historically conditions in |
7.2 mg/L average DO during fall
mixing, minimum 6.9 mg/L |
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Sustainable Recreational Fishery |
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Habitat quality |
Cover and density of aquatic
plants (macrophytes) Deep water dissolved oxygen
during stratified period |
Approximately 50% of the
littoral zone exhibited dense macrophyte growth. The littoral zone is defined as the nearshore
area where light reaches the sediment surface and is thus suitable for the
growth of rooted aquatic plants. Summer anoxia in hypolimnion |
Coverage in this range provides
high quality habitat for fish reproduction and rearing; current conditions
are near-optimal for smallmouth and largemouth bass. Lack of well-oxygenated cold
water limits habitat for resident cold water fish community. |
Fish reproduction |
Reproduction of target species: · bass and sunfish · yellow perch · black crappie · rock bass · walleye and northern pike |
Occurring: · bass and sunfish · yellow perch · rock bass No evidence: · black crappie · walleye · northern pike |
Fish reproduction for several
target species has not been observed in the lake. Adult populations of these
species are stable and, in some cases, increasing. The lack of suitable
spawning habitat, not water quality, appears to be the limiting factor in
fish reproduction in the lake. Restoration of habitat is underway as part of
the Honeywell lake cleanup project. |
Fish community structure |
Percent of fish species
intolerant or moderately intolerant of pollution |
4% |
Most of the |
The 2009 Annual AMP report has been prepared and submitted
to the New York State Department of Environmental Conservation (NYSDEC) to
comply with a judicial requirement set forth in the 1998 Amended Consent
Judgment (ACJ) between
The NYSDEC is responsible for managing water resources
throughout NY State. As part of this responsibility, NYSDEC classifies surface
waters, including lakes, rivers, streams, embayments, estuaries and groundwater
with respect to their best use.
Monitoring results are evaluated on a regular basis to determine whether
designated uses are supported, and if not, the factors precluding use
attainment.
Water flows to
For many years,
Table
1-1. Summary of Current Fish Consumption Advisories for
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Species |
Advisory |
Chemicals
of Concern |
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Largemouth
bass and smallmouth bass over 15" and walleye |
Don't eat |
Mercury,
PCBs |
Carp,
channel catfish and white perch |
Don't eat |
PCBs,
Mercury, Dioxin |
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All
fish not listed |
Eat
up to one meal per month |
Mercury,
PCBs |
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Brown
bullhead and pumpkinseed |
Eat
up to four meals per month |
Mercury,
PCBs |
Some areas of
A comprehensive program to address
the sources of pollution that preclude attainment of the designated uses is
underway. Onondaga County, New York State Department of Environmental
Conservation (NYSDEC) and Atlantic States Legal Foundation entered into the
1998 Amended Consent Judgment (ACJ) to resolve a lawsuit filed against Onondaga
County alleging violations of the Clean Water Act; namely, that discharges from
the Syracuse Metropolitan Wastewater Treatment Plant (Metro) were in violation
of the facility’s discharge permit, and the combined sewer overflows (CSOs) did
not comply with state and federal regulations.
The ACJ has been modified over the years to respond to new technologies
and actual water quality conditions. As of 2010, the County is required to
undertake a phased program of wastewater collection and treatment improvements
extending through 2018 (Tables 1-1 and 1-2).
Table 1-2 Metro
Compliance Schedule. (ppd = pounds per day; mg/L = milligrams per liter) |
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SPDES Limit |
Effective Date |
Achieved Date |
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Ammonia |
Stage I : 8,700
ppd (7/1-9/30) 13,100
ppd (10/1-6/30) |
January 1998 |
January 1998 |
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Stage II: 2 mg/L (6/1-10/31) 4 mg/L (11/1-5/31) |
May 2004 |
February 2004 |
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Stage III: 1.2 mg/L (6/1-10/31) 2.4 mg/L (11/1-5/31) |
December 2012 |
February 2004 |
Total Phosphorus |
Stage I : 400
ppd (12-month
rolling average) |
January 1998 |
January 1998 |
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Stage II: 0.12 mg/L (12-month rolling average) |
April 2006 |
April 2006 |
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Revised Interim Stage II: 0.10 mg/L (12-month rolling average) |
November 2010 |
Pending |
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Stage III: 0.020 mg/L (or as modified by TMDL) |
December 2015 (or as modified by TMDL) |
Pending |
Table
1-3. CSO Compliance
Schedule. |
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Project Phase |
Goal |
Effective Date |
Stage
I |
Capture for treatment or
eliminate 89.5% of combined sewage* during precipitation, within the meaning of EPA’s
National CSO Control Policy |
Dec 31, 2013 |
Stage
II |
Capture for treatment or
eliminate 91.4% of combined sewage during precipitation, within the meaning of EPA’s
National CSO Control Policy |
Dec 31, 2015 |
Stage
III |
Capture for treatment or
eliminate 93% of combined sewage during precipitation within the meaning of EPA’s
National CSO Control Policy |
Dec 31, 2016 |
Stage
IV |
Capture for treatment or
eliminate 95% of combined sewage during precipitation within the meaning of EPA’s
National CSO Control Policy |
Dec 31, 2018 |
*on a system-wide annual average basis (per
fourth stipulation to ACJ, Nov. 2009) |
There are three elements to the ACJ: (1) improvements to Metro, primarily
to reduce phosphorus and ammonia loading, (2) improvements to the wastewater
collection infrastructure to reduce combined sewer overflows (CSOs); and (3)
monitoring the surface waters to evaluate the effectiveness of the improvements
to the wastewater collection and treatment system.
The industrial pollution
impacts are also being addressed; projects to intercept and treat contaminated groundwater, remove contaminated
sediments and restore habitat are underway. This effort is spearheaded by
Honeywell International with oversight by state and federal officials. A detailed description of the
Honeywell remedial projects planned for the
1.2 Ambient Monitoring Program Design
The AMP is designed to
identify sources of materials (nutrients, sediment, bacteria and chemicals) to
the lake, evaluate in-lake water quality conditions, and examine the
interactions between
In addition to the water quality monitoring effort, the
AMP examines the health of the lake ecosystem by sampling fish, phytoplankton,
zooplankton, benthic invertebrates, aquatic plants and dreissenid (zebra and
quagga) mussels. The health of the watershed is assessed as well, through an
integrated program that focuses on identifying potential sources of materials
such as nutrients, sediment and bacteria.
Biological indicators of stream condition are evaluated as well. A Data Analysis and Interpretation Plan (DAIP) (Table 1-3) guides program
design and is a component of the annual workplan, and consequently subject to
NYSDEC review and approval.
A rigorous Quality Assurance/Quality Control program
is in place. The AMP workplan is subject
to NYSDEC review and approval each year. Samples are collected by trained
technicians and analyzed in a laboratory certified by the NYS Department of
Health. Internal and external audits are conducted, blanks and duplicates are evaluated, and the
results are presented in the annual AMP report. Experts serving on the Onondaga Lake Technical Advisory Committee (OLTAC) review the data and
interpretive reports each year and make recommendations.
An expert on statistics and lake water quality periodically reviews
the AMP design for its power to detect trends. That is, what sampling frequency
and duration are needed to differentiate a significant change, given the
magnitude of natural variation? This analysis, referred to as the Statistical Framework, has been completed for water quality and biological
parameters by Dr.
Each year, OCDWEP tests over 20,000 water
samples and examines several thousand biological samples. The County has
invested in the creation of custom databases to facilitate analysis and
reporting. The 2009 data have been appended to the water quality database,
which is a repository of tributary (T), lake (L) and river (R) data collected
since 1968. An integrated biological database is used to manage results of the
fisheries, phytoplankton, zooplankton, macroinvertebrate and macrophyte
monitoring efforts.
Table 1-4. Data Analysis and Interpretation Plan.
Parameters |
Sampling
Locations |
Compliance |
TMDL
Analysis |
Trend
Analysis |
Trophic
Status |
Load
Analysis |
Model
Support |
Use
Attainment |
Effectiveness
of CSO control
measures |
Indicator
of Water
Clarity |
Nutrient
Cycling |
Habitat
Conditions |
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Chemical |
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Alkalinity |
L, T |
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Bacteria |
L, T |
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BOD-5 |
L, T, R |
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Carbon |
L, T, R |
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Cyanide |
T |
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Mercury |
L, T |
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Metals/Salts |
L, T, R |
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Nitrogen |
L, T, R |
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Phosphorus |
L, T, R |
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Dissolved
Silica |
L,T |
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Solids |
L, T, R |
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Sulfides |
L |
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Dissolved
Oxygen |
L, T, R |
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Salinity |
L, T, R |
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Physical |
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Conductivity |
L, T, R |
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LiCor
illumination |
L, R |
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Secchi
transparency |
L, R |
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Turbidity |
L, T, R |
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Biological |
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Chlorophyll-a/algae |
L, R |
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Zooplankton |
L |
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Macrophytes |
L |
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Macroinvertebrates |
L, T |
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Fish |
L |
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Dreissenid
mussels |
L,R |
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Locations: L = Lake; T = Tributaries; R = Seneca
River. |
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1.3 Turning Data into Information: Metrics
A
series of metrics, defined as quantifiable physical, chemical and/or biological
attributes of the ecosystem that respond to human disturbances, is used to help
organize the extensive AMP dataset (Table 1-5).
For the
Table 1-5. Summary of metrics used to evaluate progress toward improvement. |
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Metrics |
Measured
By |
Target
Levels |
Suitability
for Water Contact Recreation |
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Indicator
bacteria |
Fecal coliform
bacteria abundance |
100% of E.
coli and fecal coliform bacteria (monthly geometric means of at least 5
observations) in compliance with water quality standards. Tributaries: compliance is measured
year-round. |
Water clarity |
Secchi disk
transparency (nearshore, Class B) |
Lake: 100% of water clarity
measurements greater than 4 ft. (1.2 m) between June and September, which is
the NYS swimming safety guidance value. |
Aesthetic
Appeal |
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Water clarity
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Secchi disk
transparency (open waters South Deep) |
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Algal blooms |
Chlorophyll-a concentrations: frequency,
magnitude and duration of elevated levels |
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Algal
community structure |
Identification
and enumeration of phytoplankton samples |
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Aquatic Life
Protection |
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Wastewater-
related parameters |
Ammonia N and
nitrite concentrations, profiles through lake water column,
biweekly program in tributaries |
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Dissolved
oxygen (DO) |
Profiles
through lake water column, annual biweekly program in tributaries |
In NY, hypolimnetic anoxia in lakes during
stratification is not enforced as a violation of ambient water quality
standards, due to the challenges associated with defining natural conditions
vs. cultural eutrophication. |
Other
chemical parameters listed in Table 1-4 (e.g., heavy metals) |
Profiles
through lake water column, annual biweekly program in tributaries |
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Sustainable
Recreational Fishery |
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Habitat
quality |
Aerial
photograph interpretation of macrophyte cover |
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Fish species
successfully reproducing |
Nesting
surveys, larval sampling, young-of-year sampling (littoral and pelagic) adult
surveys |
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largemouth bass, smallmouth bass and sunfish ·
yellow perch ·
black crappie ·
rock bass ·
walleye and northern pike |
Community structure |
Percent of fish species intolerant or moderately intolerant of
pollution |
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Monitoring data provide a means to evaluate
current conditions, compliance and trends. Monitoring data also serve to test
hypotheses and elucidate important processes and interactions affecting water
quality and aquatic habitat. However, projecting future conditions in response
to changing inputs and environmental conditions remains a significant
challenge. Projecting future conditions requires models; the most robust models
are constructed using data generated by a well-designed monitoring
program.
In recognition of the need to project future
water quality and habitat conditions, the ACJ requires development, calibration
and confirmation of mathematical models using the extensive AMP data to support
decisions related to
·
An understanding of the mechanisms underlying
observed trends in the water quality of the lake;
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A projection of the
benefits of Metro upgrades and CSO abatement measures;
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A more complete
assessment of the assimilative capacity of the
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A projection of the benefits of any proposed watershed best management practices
(BMPs);
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Development of total maximum daily loads (TMDLs) for
phosphorus in the lake and support the development of a TMDL for dissolved
oxygen in the
A suite of three
integrated mathematical models are near completion:
Ř
The Onondaga Lake Basin
Model, developed by the US Geological Survey (USGS) in cooperation with the
OLP, is designed to simulate the flow of water and materials (nutrients and
sediment) to the lake;
Ř
The Onondaga Lake Water
Quality Model (OLWQM), developed by Anchor QEA, is a mechanistic model
focusing on eutrophication; and
Ř
The Three Rivers Water
Quality Model (TRWQM), developed by Anchor QEA, is a mechanistic model
focusing on dissolved oxygen conditions in the
These models are designed to
quantify the response of
The OLWQM and
TRWQM forecast how
1.
Estimating the magnitude of loads and
precision of load calculations from each source;
2.
Assessing long-term trends in load and inflow
concentration from each source and source category (point, nonpoint, and
total);
3.
Evaluating the adequacy of the monitoring
program, based upon the precision of loads computed from concentration and flow
data.
Reports on these efforts are available at http://www.wwwalker.net/onondaga.
1.5 Timeline of
2.
The
Figure 2-1. Hydrologic input to
Compared
with other lakes in the Seneca-Oneida-Oswego river basin, the watershed of
Table 2-1. Morphometric characteristics of |
||
Characteristic |
Metric units |
English units |
Watershed area |
738 km2 |
285 mi2 |
|
|
|
Surface area |
11.7 km2 |
4.5 mi2 |
Volume |
131 x 106 m3 |
35 billion
gallons |
Maximum length |
7.6 km |
4.7 mi. |
Maximum width |
2 km |
1.2 mi. |
Maximum depth |
19.5 m |
64 ft. |
Average depth |
11 m |
36 ft. |
Average elevation* |
111 m |
364 ft. |
Average flushing rate |
4
times/yr. |
|
*Elevation is of the lake surface, referenced to mean sea level. |
3.
Tributary Results: 2009 Water Quality Status and Trends
The 2009 water quality data indicate
continued progress toward compliance with ambient water quality standards and
restoration of designated uses. In this section, results of the 2009 monitoring
effort are summarized and compared with historical data.
Each year, the tributaries
convey surface runoff and groundwater seepage from the large watershed toward
Overall, 2009 was a
dry year in Syracuse; the total precipitation of 35.36 inches was
below the 30- year average (1979 – 2008) of 38.01 inches. The
winter was snowy, however (146 inches compared to the average 121 inches), and
June was extremely wet. Despite these variations, the average 2009
precipitation and temperature patterns were not inconsistent those
measured over the previous 30 years. The
climatic conditions were reflected in the streamflow conditions; streamflow
conditions in the major tributaries
remained
close to long-term average conditions, with spikes in late winter and June, and
additional spikes in response to late summer storm events.
3.2 Tributary Water
Quality and Annual Loads
Compliance with Ambient
Water Quality Standards
Several segments of
Table
3-1. Percent of |
||||||||||||||
Monitoring Site |
Ammonia-N |
Arsenic |
Cadmium |
Chromium |
Copper |
Cyanide |
Dissolved Oxygen* |
Fecal Coliform** |
Lead |
Mercury*** |
Nickel |
Nitrite |
pH |
Zinc |
Ninemile Creek at |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
96% |
100% |
Harbor Brook at Hiawatha |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
96% |
100% |
Harbor Brook at Velasko |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
Onondaga Creek at Kirkpatrick |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
Onondaga Creek at Dorwin |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
67% |
100% |
-- |
100% |
97% |
98% |
100% |
Onondaga Creek at Spencer |
-- |
-- |
-- |
-- |
-- |
-- |
100%>4 100%>5 |
0% |
-- |
-- |
-- |
-- |
96% |
-- |
Ley Creek at Park |
100% |
100% |
100% |
100% |
100% |
75% |
100%>4 96%>5 |
-- |
100% |
-- |
100% |
100% |
96% |
100% |
Tributary 5A at |
96% |
100% |
100% |
100% |
0% |
100% |
100%>4 85%>5 |
-- |
100% |
-- |
100% |
96% |
92% |
100% |
Allied East Flume |
38% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
0% |
85% |
100% |
|
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
|
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 92%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
Bloody Brook at |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
Bloody Brook at |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
Sawmill at |
100% |
100% |
100% |
100% |
100% |
100% |
100%>4 100%>5 |
-- |
100% |
-- |
100% |
100% |
100% |
100% |
Notes: * Dissolved
oxygen results shown for compliance with 4 mg/l (>4) and 5 mg/l (>5)
standards. For nontrout waters, the minimum
daily average shall not be less than 5.0 mg/L, and at no time shall the DO
concentration be less than 4.0 mg/L
(§703.3). **
Fecal coliform compliance based on monthly geometric mean from a minimum of 5
measurements; only those stations with a minimum of 5 measurements in the
course of a given month were evaluated for compliance by this standard. ***Mercury
method reporting limit (MRL) is 0.02 μg/l, which is two orders of
magnitude greater than the compliance value of 0.0007 μg/l. 71% of the
analytical results were below the limit of detection. Given this data set,
one cannot ascertain whether mercury reported as non-detect to 0.02 μg/l
was present in the samples at levels above the regulatory limit of 0.0007
μg/l; therefore an accurate percent compliance cannot be calculated. |
Compliance with Metro
SPDES Permit
Effluent ammonia N remained well below the seasonal limits
of 1.2 mg/L (summer) and 2.4 mg/L (winter), as displayed in Figure 3-1.
Phosphorus concentrations were also consistently low throughout 2009 (Figure
3-2). As discussed in Section 1, the 2009 amendment to the ACJ revised the
interim Stage II TP effluent limit to 0.10 mg/L. Compliance with the revised
interim limit, which is expressed as a 12-month rolling average, will be
evaluated beginning in November 2010.
The 2009 flow-weighted average concentration of phosphorus,
ammonia-N, TKN, total suspended solids, fecal coliform bacteria and chloride
measured in the
Table 3-2. Flow-weighted average concentration of selected
parameters, 2009, |
|||||||
Parameter* Units |
TP mg/L |
SRP mg/L |
NH3-N mg/L |
TKN mg/L |
TSS mg/L |
Chloride mg/L |
Bacteria cfu/100ml |
Metro
Effluent ** |
0.080 (364) |
0.003 (87) |
0.28 (363) |
1.2 (363) |
5.5 (364) |
499 (202) |
829 (210) |
Metro
Bypass |
1.13 (41) |
0.15 (2) |
5.9 (41) |
10 (41) |
56 (41) |
615 (2) |
270,226 (29) |
Onondaga
Creek |
0.085 (26) |
0.008 (26) |
0.066 (26) |
0.57 (26) |
63 (26) |
422 (26) |
1,620 (26) |
Ninemile
Creek |
0.069 (26) |
0.010 (26) |
0.22 (26) |
0.73 (26) |
30 (26) |
268 (26) |
2,178 (26) |
Ley Creek |
0.10 (26) |
0.016 (26) |
0.28 (26) |
0.83 (26) |
24 (26) |
336 (26) |
1,916 (26) |
Harbor
Brook |
0.092 (31) |
0.037 (31) |
0.081 (26) |
0.48 (31) |
29 (31) |
280 (31) |
6,312 (32) |
Tributary
5A |
0.12 (26) |
0.037 (26) |
0.15 (26) |
0.46 (26) |
19 (26) |
351 (26) |
73 (26) |
East Flume |
0.11 (26) |
0.030 (26) |
0.90 (26) |
1.4 (26) |
11 (26) |
570 (26) |
110 (26) |
Tributaries results are reported for downstream
sampling locations closest to Flow-weighted average concentrations were computed on each sampled day using instantaneous flows for Storm Event
samples and daily mean flows for Routine samples. *TP = Total Phosphorus; SRP = Soluble
Reactive Phosphorus; NH3-N = Ammonia as N; TKN = Total Kjeldahl Nitrogen; TSS = Total
Suspended Solids; Bacteria = Fecal Coliform bacteria ** METRO effluent NH3-N, TP, and TSS based on daily measurements, Metro bypass is only sampled when active. |
The 2009 loading of these selected parameters (Table 3-3)
illustrates the importance of the relative flow volume on total external
loading of nutrients, sediment, chloride and bacteria to the lake. The values presented in Table 3-3 are generated by
a customized loading model that uses the detailed flow record and results of
grab samples of water quality conditions; the significant figures in the table
should not be interpreted as presenting the precision of the estimates. The
percent of the total load attributed to each source is summarized in Table 3-4.
Note that 2009
results for all measured
parameters, and the standard error of the estimates, are presented in the
library.
Table 3-3. Annual loading of selected water
quality parameters, in metric tons (mt), to |
|||||||
Parameter* Units |
TP mt |
SRP mt |
NH3-N mt |
TKN mt |
TSS mt |
Chloride mt |
Bacteria 1010 cfu |
Metro
Effluent (1) |
6.5 (364) |
0.21 (87) |
23 (363) |
94 (363) |
450 (364) |
40,567 (202) |
67,319 (210) |
Metro
Bypass (2) |
2.5 (41) |
0.33 (2) |
13 (41) |
22 (41) |
121 (41) |
1,330 (2) |
584,782 (29) |
Onondaga
Creek |
13 (26) |
1.3 (26) |
10 (26) |
89 (26) |
9,896 (26) |
66,414 (26) |
254,682 (26) |
Ninemile
Creek |
10 (26) |
1.5 (26) |
33 (26) |
112 (26) |
4,545 (26) |
40,749 (26) |
331,038 (26) |
Ley Creek |
3.7 (26) |
0.59 (26) |
10 (26) |
30 (26) |
891 (26) |
12,271 (26) |
69,878 (26) |
Harbor
Brook |
0.88 (31) |
0.36 (31) |
0.77 (26) |
4.6 (31) |
277 (31) |
2,676 (31) |
60,306 (32) |
Tributary
5A |
0.17 (26) |
0.052 (26) |
0.21 (26) |
0.65 (26) |
27 (26) |
492 (26) |
103 (26) |
East Flume |
0.12 (26) |
0.033 (26) |
0.97 (26) |
1.5 (26) |
11 (26) |
617 (26) |
119 (26) |
Tributaries results are reported for downstream
sampling locations closest to The flow-weighted-mean concentration is computed
for each day before being used in computing loads. *TP = Total Phosphorus; SRP = Soluble Reactive
Phosphorus; NH3-N = Ammonia as N; TKN =
Total Kjeldahl Nitrogen; TSS = Total Suspended Solids; Bacteria =
Fecal Coliform bacteria. (1) Metro Outfall 001 calculated loads of NH3-N,
TP, TSS are based on daily measurements; METRO TKN based on 5 measurements/2
wks (2) Metro Bypass Outfall 002 estimates based on
periodic grab samples when outfall is active (high flow events where the
capacity of the treatment plant is exceeded). |
Table 3-4. Percent annual
loading contribution by gauged inflow, 2009. |
||||||||
Parameter* |
TP |
SRP |
NH3-N |
TKN |
TSS |
Chloride |
Bacteria |
Water |
Metro
Effluent |
17% |
4.8% |
25% |
27% |
2.8% |
25% |
4.9% |
18% |
Metro
Bypass |
6.5% |
7.5% |
14% |
6.3% |
0.75% |
0.81% |
43% |
0.49% |
Onondaga
Creek |
36% |
30% |
11% |
25% |
61% |
40% |
19% |
36% |
Ninemile
Creek |
28% |
34% |
36% |
32% |
28% |
25% |
24% |
35% |
Ley Creek |
9.7% |
13% |
11% |
8.5% |
5.5% |
7.4% |
5.1% |
8.3% |
Harbor
Brook |
2.3% |
8.1% |
0.85% |
1.3% |
1.7% |
1.6% |
4.4% |
2.2% |
Tributary
5A |
0.46% |
1.2% |
0.23% |
0.18% |
0.16% |
0.30% |
0.008% |
0.32% |
East Flume |
0.33% |
0.75% |
1.1% |
0.42% |
0.07% |
0.37% |
0.009% |
0.25% |
*TP = Total Phosphorus; SRP = Soluble Reactive Phosphorus; NH3-N = Ammonia as N; TKN = Total Kjeldahl Nitrogen; TSS = Total Suspended Solids; Bacteria = Fecal Coliform bacteria. |
In 2006, OCDWEP and
USGS initiated a joint project to enhance data collection at two sites on
Onondaga Creek, to provide additional data regarding the influence of rural and
urban watersheds on stream water quality:
A new gauging station
was constructed at Route 20 in 2006, while an existing gauging station was
upgraded at
The following 2009
data files are included in the Library:
Onondaga Creek
tributary data were also used to evaluate
contributions in 2009 from the rural land use characteristic of the
tributary’s headwaters (Route 20 monitoring station), predominantly
rural watershed (
Storm event sampling
is conducted periodically in addition to the biweekly monitoring program, in an
effort to characterize peak flow and loading conditions. Events are initiated
when the forecast predicts heavy rains; storms with rainfall of sufficient
intensity to trigger the CSOs (at least 0.35 inches per hour) are targeted.
DWEP field technicians collect samples at multiple locations and at frequent
intervals during the storm and for up to 48 hours after it subsides.
Storm events are
conducted as remedial projects are completed; results are compared with
baseline (pre-improvement) data. Loads
of fecal coliform bacteria, chloride, TP, SRP, total dissolved P (defined as
all non-particulate P fractions), total suspended solids, and total Kjeldahl N
(defined as organic N and ammonia) are calculated over the course of the storm.
These results are added to the cumulative database of storm loads, and compared
to tributary-specific baseline (pre-improvement) conditions, as a function of
the total volume of storm flow. The hypothesis is that improvements to the
collection system will result in reduced loading of fecal coliform bacteria and
other wastewater-related parameters.
Water quality
monitoring of Onondaga Creek was completed during one intense rainfall event in
August 2009. The storm was of short duration (approximately 0.8 inches in one
hour), and most of the samples were collected just after the peak flow, on the
receding limb of the hydrograph,
highlighting the challenge of responding to storm events and the potential
value of automated sampling devices. The Midland Ave. Regional Treatment Facility
(RTF) was completed in May 2008. After a one-year testing phase, Onondaga
County DWEP began operation of the facility on May 15, 2009. This RTF was
designed to capture and treat the mixture of storm water runoff and untreated
sewage from three large CSOs.
Information from the real-time supervisory control and data acquisition
(SCADA) system indicated that some of the combined sewage volume (estimated at
no more than 1.2 million gallons) was released to Onondaga Creek through the
emergency overflow diversion during the August, 2009 event, due to a delay in
activating the influent pumps. In addition, approximately 32,300 gallons were
released to Onondaga Creek after disinfection. The remaining combined sewage
volume was stored and pumped back to Metro for full treatment. OCDWEP prepares quarterly
reports to NYSDEC with operational details for RTFs, flow control
facilities and the Erie Boulevard Storage System (EBSS).
Given the short
duration of the August storm, the total storm volume was relatively low
compared with other events captured as part of the AMP. The total
loading of fecal coliform bacteria, phosphorus and solids were comparable to
the loading estimates from previous storm events.
The concentration of fecal coliform bacteria present in the
lake tributaries during wet weather is affected by stormwater runoff and
overflow of the combined sewers. CSO
remedial measures and improved stormwater management techniques are underway.
Among the objectives of the AMP is a storm event monitoring program to track
changes in bacterial concentrations and loading to
To help meet these two related objectives, bacterial
quality of the CSO-affected streams is evaluated at both low flow and high flow
conditions by segregating the data set based on antecedent precipitation over
the 1990-2009 annual monitoring years. The total annual loadings
of bacteria from the monitored inflows to
Both Harbor Brook
and Onondaga Creek have stations upstream and downstream of the urban
CSO-affected corridor. Comparing these upstream and downstream stations reveals
changes in loading as the streams flow through the urban corridor. Ninemile
Creek receives stormwater runoff from a separate sewer system. Examining the summer
average concentrations categorized by low and
high flows, it is clear that the fecal coliform concentrations are higher when
flows are higher; also, that concentrations at stations downstream of CSOs are
higher than at stations upstream of CSOs.
Over time, the concentrations during summer low flow conditions are consistently higher downstream of CSOs than upstream. Since CSOs are not active during dry weather
conditions, the higher concentrations observed downstream are not attributable
to this source.
During 2009, higher fecal coliform
concentrations observed in the tributaries were generally associated with wet
weather conditions. As in the past,
concentrations were typically higher at monitoring stations downstream of CSOs
than upstream. Wet weather fecal coliform bacteria levels were notably elevated
at the downstream station on Harbor Brook.
With the phosphorus reduction in
Metro effluent achieved by the 2005 start-up of the advanced physical-chemical
treatment process, the loading of phosphorus to
Comparison of phosphorus
loading before the ACJ (1990-1998) and after implementation of the ActiFlo
system at Metro (2005-2009) indicates the magnitude of reduction in phosphorus
loading realized by this technology (Tables 3-5 and 3-6).
Table
3-5. Tributary and Metro Total Phosphorus (TP) Loading to |
||||||||
|
1990-1998 (pre-ACJ) |
2005-2009 (post-ActiFlo) |
||||||
Location |
Flow (%) |
TP (mt) |
TP (% Load) |
TP (mg/l) |
Flow (%) |
TP (mt) |
TP (% Load) |
TP (mg/l) |
Metro: |
|
|
|
|
|
|
|
|
fully treated |
21% |
52 |
57% |
0.56 |
18% |
11 |
26% |
0.12 |
bypass |
0.94% |
8.5 |
7.5% |
1.8 |
0.36% |
2.0 |
4.9% |
1.2 |
Watershed: |
|
|
|
|
|
|
|
|
Onondaga Creek |
34% |
20 |
19% |
0.12 |
37% |
14 |
34% |
0.077 |
Ninemile Creek |
32% |
10 |
10% |
0.065 |
34% |
9.1 |
23% |
0.055 |
Ley Creek |
8.7% |
5.7 |
5.8% |
0.14 |
8.1% |
3.5 |
8.7% |
0.087 |
Harbor Brook |
2.1% |
0.71 |
0.71% |
0.070 |
2.5% |
1.1 |
2.8% |
0.092 |
Tributary 5A |
0.72% |
0.17 |
0.19% |
0.054 |
0.23% |
0.13 |
0.31% |
0.11 |
East Flume |
0.23% |
0.19 |
0.18% |
0.20 |
0.17% |
0.11 |
0.27% |
0.14 |
Totals |
100% |
97 |
100% |
-- |
100% |
41 |
100% |
-- |
Table 3-6.
Tributary and Metro
Soluble Reactive Phosphorus (SRP) Loading to |
||||||||
|
1990-1998 (pre-ACJ) |
2005-2009 (post-ActiFlo) |
||||||
Location |
Flow (%) |
SRP (mt) |
SRP (% Load) |
SRP (mg/l) |
Flow (%) |
SRP (mt) |
SRP (% Load) |
SRP (mg/l) |
Metro: |
|
|
|
|
|
|
|
|
fully treated |
21% |
12 |
59% |
0.13 |
18% |
0.74 |
12% |
0.008 |
bypass |
0.94% |
2.5 |
9.7 |
0.50 |
0.36% |
0.42 |
7.9% |
0.24 |
Watershed: |
|
|
|
|
|
|
|
|
Onondaga Creek |
34% |
3.3 |
16% |
0.021 |
37% |
1.6 |
30% |
0.009 |
Ninemile Creek |
32% |
1.7 |
7.9% |
0.011 |
34% |
1.5 |
29% |
0.009 |
Ley Creek |
8.7% |
1.4 |
6.1% |
0.033 |
8.1% |
0.55 |
11% |
0.014 |
Harbor Brook |
2.1% |
0.25 |
1.1% |
0.024 |
2.5% |
0.43 |
8.5% |
0.035 |
Tributary 5A |
0.72% |
0.030 |
0.17% |
0.010 |
0.23% |
0.034 |
0.65% |
0.029 |
East Flume |
0.23% |
0.065 |
0.29% |
0.092 |
0.17% |
0.036 |
0.70% |
0.046 |
Totals |
100% |
21 |
100% |
--- |
100% |
5.2 |
100% |
--- |
In a similar manner, the
improvements to Metro have resulted in a statistically significantly reduction
in the input of ammonia-N to
Tables summarizing a statistical analysis of the trends in
concentrations and loading of parameters in
addition to ammonia and total P are in the library.
4.
The AMP is designed to
evaluate the response of
Samples are collected from
nearshore sampling stations as well as two mid-lake stations. The South Deep mid-lake station is sampled
with greater frequency; the North Deep station is sampled four times per year
to confirm that water quality conditions measured at the South Deep
station continue to be representative of mid-lake conditions.
4.1 Trophic State Indicator
Parameters
The productivity of
When algal biomass settles to the lower, unlighted areas of a productive lake, its decay robs the lower waters of dissolved oxygen, making them uninhabitable by fish or other oxygen-requiring organisms. Under these anaerobic or oxygen-free environments, undesirable compounds such as ammonia and soluble phosphorus may be liberated from the sediments.
Monitoring the trophic status of impaired waters like
Since the
productivity of
One of the undesirable attributes of eutrophic waters is
their green-tinged water and turbidity, or cloudiness, which is usually caused
by the large populations of algae containing the photosynthetic pigment
chlorophyll-a. The measurement of chlorophyll-a is, therefore, a more or less direct
measurement of the turbidity of the water as well as an indicator of its
productivity, since the amount of photosynthesis correlates strongly with the
amount of chlorophyll-a in the water.
The federal EPA and NYSDEC are developing nutrient criteria for lakes to
protect water supply and recreational use, as well as deriving numerical limits
on response variables such as chlorophyll-a. In the absence of state or federal
criteria, the AMP has used site-specific criteria of 15 and 30 ug/L to screen
algal bloom thresholds for
In
In lakes where phytoplankton
abundance is limited by phosphorus, the two trophic state parameters are highly
correlated. Data from regional lakes (Figure 4-4) illustrate this relationship.
Data for the
The progressive reduction in TP concentration in
Another—and more direct—indicator of
turbidity of the water is the Secchi disk transparency. A Secchi disk is a 25 cm diameter disk with
alternating black and white quadrants.
It can be lowered into the lake, and the depth at which it can no longer
be seen from the surface or from the deck of a boat, is known as the Secchi disk
transparency. Greater depth indicates
clearer and less productive waters.
Highly productive waters may have Secchi disk readings of less than one
meter. Water clarity data are influenced by both bottom-up (nutrient levels)
and top-down (food web) effects; the presence and abundance of grazing
organisms has a major impact on the algal community.
To meet swimming safely guidance, Secchi disk transparency
greater than 1.2 m (4 ft) is required at designated beaches (see Table 4-2). There
is no NYS standard or guidance value for Secchi disk transparency of off-shore
waters; most lake monitoring programs in the state monitor Secchi disk
transparency at a mid-lake station overlying the deepest water, comparable to
Onondaga Lake South Deep station. The Citizens Statewide Lake Assessment
Program (CSLAP),a joint effort of NYSDEC and the NYS Federation of Lake
Associations, considers summer average Secchi disk transparency greater than 2
m as indicative of mesotrophic conditions (Kishbaugh 2009). The water clarity
of
In addition to Secchi disk transparency, readings are made
of light extinction using a LiCor data
logger. These readings correlate with Secchi measurements.
The three trophic
state indicator parameters can be expressed on a common scale, ranging from 1
to 100, with higher values indicating greater productivity (Carlson 1997). By all measures, the
trophic state of Onondaga Lake has shifted dramatically, as demonstrated by
reductions in the lake’s trophic state index, or
TSI, (Figure 4-6) calculated from summer average total P, chlorophyll-a and Secchi disk transparency. The 2009
results confirm that
4.2 Ammonia and Nitrite
Until recently,
Table 4-1. Percent of Ammonia
Measurements in Compliance with Ambient Water Quality Standards, Onondaga
Lake, 1998-2009. |
||||||||||||
Depth |
Percent measurements in compliance, NYS standard |
|||||||||||
(m) |
1998 |
1999 |
2000 |
2001 |
2002 |
2003 |
2004* |
2005 |
2006 |
2007 |
2008** |
2009 |
0 |
64 |
62 |
86 |
95 |
68 |
96 |
100 |
100 |
100 |
100 |
100 |
100 |
3 |
45 |
67 |
90 |
90 |
68 |
96 |
100 |
100 |
100 |
100 |
100 |
100 |
6 |
50 |
86 |
90 |
95 |
73 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
9 |
41 |
76 |
90 |
95 |
73 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
12 |
18 |
52 |
90 |
81 |
50 |
80 |
100 |
100 |
100 |
100 |
100 |
100 |
15 |
23 |
52 |
57 |
52 |
41 |
56 |
80 |
100 |
100 |
100 |
100 |
100 |
18 |
23 |
48 |
52 |
38 |
32 |
48 |
75 |
95 |
95 |
100 |
100 |
100 |
* Advanced ammonia treatment came on line in early 2004 ** In 2008, |
Recreational
quality of
Bacteriological
data often vary by orders of magnitude due to the event-driven nature of the
sources. For that reason, geometric means are best suited for examining spatial
and temporal trends. Examining nearshore summer data
collected since 1999 (Figure 4-7), it is clear that bacteria levels are
consistently higher in the southern region of Onondaga Lake, close to the major
inflows, as compared to the northern region.
Bacteria levels at the Class B stations and the lake outlet are low,
confirming that the fecal coliform bacteria do not persist in the lake
environment long enough, and are sufficiently diluted, to be present in the
northern stations at levels of potential concern to human health. The results displayed
in these graphs include both routine samples and samples collected during and
shortly after storm events.
The data in Figure 4-7
demonstrate trends and relative abundance of the indicator bacteria, but do not
evaluate compliance with standards. The NY state standard for fecal coliform
bacteria is assessed by taking frequent samples at each location, a minimum of
five per month, and calculating the geometric mean of the results. The ambient
water quality standard for fecal coliform bacteria, designed to protect human
health during water contact recreation, is set at 200 cfu (colony-forming
units) per 100 ml of lake water. The standard applies during the period of
Metro disinfection, which is April 1st –
October 15th. In 2009, the standard was met
at all but one monitoring location. All stations in the Class B portion of the
lake were in full compliance, as shown in Figure 4-8. Bacteria levels in portions of the lake
typically increase after significant storm events. The occasional high bacteria levels is one
reason why there are no designated bathing beaches on
Water
clarity is measured at the same network of near-shore stations. While there is
no NYSDEC standard for water clarity, the NYS Department of Health (DOH) has a
swimming safety guidance value for designated bathing beaches of 4 ft. (1.2 m).
The 2009 results demonstrate that the DOH swimming safety guidance value was
met throughout the summer recreational period (June 1st - Sept 30th).
Table 4-2. Nearshore Secchi disk
transparency statistical summary for |
||||||||
|
|
Secchi Depth (m)a |
% Observations |
% Observations |
% Observations |
|||
Station |
Location Description |
N |
Mean |
Max |
Min |
>1.2m (Jun 1 to Sep 30)b |
on bottom, totalc |
on bottom in <1.2m depthd |
Class C |
|
|
|
|
|
|
|
|
Ninemile Creek |
near mouth of Ninemile Creek |
22 |
1.3 |
3.1 |
0.2 |
95% |
86% |
9.1% |
Ley Creek |
near mouth of Ley Creek |
22 |
1.3 |
>1.5 |
0.9 |
90% |
91% |
9.1% |
Metro |
near mouth of Metro discharge |
22 |
1.2 |
>1.5 |
>0.6 |
100% |
100% |
14% |
Onondaga Creek |
near mouth of Onondaga Creek |
22 |
1.1 |
2.2 |
0.1 |
43% |
5% |
4.5% |
Harbor Brook |
near mouth of Harbor Brook |
22 |
1.3 |
>1.5 |
>0.9 |
100% |
100% |
4.5% |
Class B |
|
|
|
|
|
|
|
|
Wastebeds |
north of mouth of Tributary 5A |
22 |
1.6 |
4.1 |
>1.2 |
100% |
91% |
0% |
|
north end of the lake, south of outlet |
22 |
1.4 |
3.0 |
>1.1 |
100% |
95% |
4.5% |
|
north end of the lake, north of outlet |
21 |
1.4 |
>1.7 |
>1.2 |
100% |
100% |
0% |
Onondaga |
north of marina |
21 |
1.3 |
>1.5 |
>1 |
100% |
100% |
4.8% |
Bloody Brook |
near mouth of Bloody Brook |
22 |
1.3 |
>1.5 |
>1 |
100% |
100% |
9.1% |
a Statistics
include observations for which the Secchi disk was visible on the bottom of
the lake in less than 1.2 m of water. The ">" ("greater
than") symbol indicates the Secchi disk was visible on the bottom for
this measurement. Sampling at the
nearshore stations is standardized to an area of 1.2-1.5 m depth. b Observations
>1.2 m are in compliance with swimming safety guidelines; the percent
compliance does not include those measurements for which the Secchi disk was
visible on the bottom of the lake in less than 1.2 m of water. c Percent of
total observations at each location for which the Secchi disk was visible on
the bottom of the lake. d Percent of
total observations at each location for which the Secchi disk was visible on
the bottom of the lake in less than 1.2 m of water. |
4.4 Metro Improvements
and
The improvements to the Metro
treatment plant have resulted in significant reductions in ammonia and
phosphorus loads to
Effluent total N has remained
relatively constant as the total P has declined, resulting in a significant
increase in the N:P ratio of
Metro effluent as
well as the N:P ratio of the lake’s upper waters (Figure 4-10). The N:P ratio
of a lake’s upper waters indicates the relative availability of the two important
nutrients to the algal community, and the extent to which primary production is
limited by phosphorus. The increasing N:P ratio in
The transformation in the
quality of Metro effluent has effected a fundamental change in the lake
ecosystem. A reduced phosphorus supply has resulted in lower algal biomass,
since phosphorus is now firmly established as the limiting nutrient for algal
growth in
The presence of nitrate in
the lower waters has affected the redox status of the lower waters, and modified the dynamics of
sediment phosphorus release. As oxygen is depleted from the deep waters,
nitrate serves as an alternate electron acceptor for the microorganisms
actively decomposing organic material settling out of the photic zone. As long as nitrate is present, reduction of iron and
manganese is prevented, and phosphorus bound to these minerals remains trapped
in the lake sediments (Figure 4-12).
Comparing the 2009 results to
those of previous
years highlights the effect the increasing nitrate levels have had
on the redox status of the lake’s hypolimnion, as reflected in the diminished
accumulation of SRP in the lower waters during the summer period of thermal
stratification.
Once iron and manganese are reduced,
phosphorus is released to the overlying waters and the SRP concentrations in
the hypolimnion increase. If the phosphorus released to the upper waters
includes more than that represented by decomposition of algae from the current
year, it may be considered as an internal load (recycle). An estimate of the mass of phosphorus released from the lake sediments during
the stratified period each year indicates that there is a great deal of
variability; some change may be a result of improving redox status of the
hypolimnion. However, variations in algal production and
the duration of stratification also affect the magnitude of the internal
phosphorus recycling.
4.5
The ACJ includes
provisions for monitoring and modeling the water quality conditions in the
Between
June and October, 2009, water-quality recording devices (YSI sondes) were deployed at Buoys 316, 236 and 409 to measure in-situ
dissolved oxygen, pH, salinity and temperature at 15-minute intervals. Two
sondes are placed at each location, one in upper waters and one in lower
waters. These locations document ambient
water quality conditions upstream of the “state cut”, an area of prolific dreissenid
mussels (Buoy 409), upstream of the Baldwinsville-Seneca Knolls WWTP outfall
and outlet of Onondaga Lake (Buoy 316), and downstream of the lake outlet and
Wetzel Rd WWTP outfall (Buoy 236).
In addition to the
high-frequency sonde monitoring, three full water quality surveys were
conducted in 2009 on July 9th (discharge 3350 cfs), August 12th
(discharge 5090 cfs) and September 24th (discharge 783 cfs). Three additional surveys were conducted only
at Buoy 316 on July 30th (discharge 733 cfs), August 27th
(discharge 830 cfs) and September 16th (discharge 729 cfs). Note
that all the discharge data are considered provisional as of the date of this
report. Taken together, these data
portray water quality conditions in the
The higher
salinity of
The
Results of the
The average river
flows during the summer of 2009 were comparable to long-term average summer
conditions, and did not approach low flows.
Compared with the previous two years, the 2009 summer flow conditions
were more variable, with flows ranging between 2,000 and 6,000 cfs. There were
some periods at the beginning of August and during September when river flows
declined; however, these periods were of relatively short duration. The average summer flow rate in 2009 was
approximately 1,600 cfs, comparable to the long-term summer average of 1,700
cfs. As a reference, the seven-day average low flow condition for the
In 2009, there were
just two individual days with flows falling below the 7Q10 threshold; water
quality sampling did not occur on either day. Most significant to water quality
and habitat conditions, 2009 streamflow was sufficient to prevent prolonged
periods of low DO. As a result, the
spatial trends of water quality parameters during the July and August surveys
were similar in top and bottom waters and were overall less pronounced than
those typically observed under lower flow conditions. Spatial trends observed during the September
survey indicated stratified flow conditions and were consistent with trends
observed during low flow surveys conducted in previous years. Notably, the water quality
conditions in 2009 exhibited an improvement with respect to regulatory compliance as compared to conditions
measured during 2007 with a comparable flow regime.
5.
Biology and Food Web: 2009
Results and Trends
This section of the annual report
reviews the extensive data describing the phytoplankton, macrophyte, zooplankton, dreissenid mussel and fish communities that comprise the Onondaga Lake food
web. As phosphorus concentrations in
Although phytoplankton abundance
in 2009 was higher than measured in
2008, the average algal biomass for April-October remained well below that
expected for a meso-eutrophic lake (3-5 mg/L, Wetzel 2001) and is similar to
that of 2007, at 1.2 mg/L (Figure 5-1). Peak algal biomass did not exceed
3.5 mg/L in 2009, confirming the lake’s mesotrophic status. Over the last
decade, phytoplankton biomass has declined significantly, and 2007, 2008 and
2009 were the three lowest years on record. This decline is likely due both to
the improved removal of phosphorus from the Metro effluent and to increased
grazing by dreissenid mussels.
Diatoms continued to
dominate the phytoplankton community, but the seasonal pattern of succession of
phytoplankton taxa was different in 2009 from that of 2008. In 2009, as in 2008, there was a spring bloom
of diatoms, ending in mid-June. Unlike
2008, however, algal biomass, led by diatoms and dinoflagellates, showed a
sharp peak of abundance in July (Figure 5-2 and Figure 5-3). A minor algal bloom (peak chlorophyll-a
concentration less than 10 ug/L) in October and November of 2009 was dominated
by chrysophytes; this taxonomic group was not an important component of the
phytoplankton community in the fall of 2008.
The pattern of
phytoplankton abundance in 2009 reflects food web dynamics, especially the
interactions of alewife and zooplankton. The alewife population was down in 2009,
which effectively released larger zooplankters, including Daphnia mendotae, from predation by this fish. In response,
relatively large zooplankton were abundant. However, after a brief clear-water
phase in late June 2009, the daphnids were eventually replaced by smaller Bosmina longirostris, a species that is
far less effective grazing on the phytoplankton. This allowed the midsummer resurgence of a
phytoplankton community dominated by diatoms, which was not evident in 2008. The decline of diatoms in late July and early
August 2009 may have been caused by silica depletion. The hard, porous cell wall of diatoms is
made almost entirely of silica, and diatom abundance can be limited by the
availability of this element. The
alternating peaks and valleys of silica concentration and diatom abundance seen
in 2009 (Figure 5-4) support this interpretation. As in 2008, a bloom of diatoms appears in the
late fall, perhaps enabled by the return of silica to the upper waters with
lake turnover. A non-native species of
diatom not previously recorded in
Cyanobacteria and dinoflagellates, which dominated the
phytoplankton community in Onondaga Lake until 2001, have now nearly
disappeared from the lake, and nuisance blooms of Aphanizomenon (A. gracile
and A. flos-aquae), typical of
summers before 2000, no longer occur.
The species of cyanobacteria remaining in the lake are smaller in size,
and peak Cyanobacteria abundance reached only 0.03 mg/L in
2009.
5.2 Macrophytes
The macrophyte community continued its expansion within the lake’s
littoral zone in 2009. Based on annual aerial photographs, coverage has
expanded from 85 acres in 2000 to 382 acres in 2009. Extensive surveys are
conducted every five years (2000, 2005 and 2010) to complete a species
list and document changes in
biomass. The AMP team completes limited field surveys of the macrophyte
community the week of the aerial flights; this field program is used to verify
the estimates of relative abundance and assess the species composition. In
2009, the most abundant species were submersed macrophytes (Table 5-1).
|
|||
|
Where Present |
Overall |
|
Species |
Percent of Sites |
Relative Abundance |
Relative Abundance |
Coontail (Ceratophyllum demersum) |
90% |
30% |
27% |
Common water weed (Elodea canadensis) |
90% |
28% |
25% |
Eurasian water milfoil (Myriophyllum spicatum) |
80% |
18% |
15% |
Southern naiad (Najas
quadalupensis) |
60% |
23% |
14% |
Water stargrass (Zosterella dubia) |
50% |
40% |
20% |
Curly leaf pondweed (Potamogeton crispus) |
40% |
<1% |
<1% |
Small pondweed (Potamogeton pusillus) |
10% |
<1% |
<1% |
The zooplankton
community is a pivotal component of the lake ecosystem; these grazing aquatic
animals affect the abundance and species composition of the phytoplankton
community, and are, in turn affected by the fish community. The size structure
and abundance of the
The average
biomass of all zooplankton in the lake (as measured in dry weight) was slightly
lower during April-October 2009 (236 µg/L) than it was for the same period in
2008. The peak zooplankton biomass,
evident in mid-June 2009, was 740 µg/L. During this period of peak abundance,
the zooplankton community was dominated by taxa in the family Bosminidae, which are small crustacean
species.
The average size of zooplankters from April to
October 2009 (0.43 mm) was larger than during the years 2003-2005 (0.32-0.34
mm), years of peak abundance of alewives (Alosa
pseudoharengus), the dominant fish planktivore (Figure
5-7). In 2009, as in 2008, larger
species of Daphnia make up a
significant part of the zooplankton community (Figure 5-5). The resurgence of daphnids (Figure 5-6) and
the large average size of zooplankters in the summer of 2008 and 2009 (Figure
5-8) reflect the decline in alewife abundance in these years. However, the zooplankton data from 2009
suggest that the alewife population may be rebounding in the lake. In 2009, the
average size of the zooplankton community decreased again in August (Figure
5-8). This decline is most likely a
result of a strong year class of alewife and gizzard shad, and the associated
high rates of predation on the larger zooplankton. Overall, the size structure
of the
The density of dreissenid mussels declined
slightly in 2009, although the biomass increased (Figure 5-9), reflecting a
shift in dominance from smaller zebra mussels (Dreissena polymorpha) to larger quagga mussels (Dreissena bugensis) (Figure 5-10). Since mussels are known to act together with
lowered nutrient loading to keep phytoplankton biomass low (Idrisi et al. 2001,
Zhu et al. 2006), water clarity in Onondaga Lake should continue to increase
with continued reductions in phosphorus loading and continued expansion of the
dreissenid mussels.
Changes in the fish community
of
Table 5-2. List of Fish Species Identified in |
||||
Alewife |
Brown bullhead |
Golden shiner |
Quillback |
Walleye |
Banded killifish |
Carp |
Largemouth bass |
Rock bass |
White perch |
Black bullhead |
Chain pickerel |
Longnose gar |
Shorthead redhorse |
White sucker |
Black crappie |
Channel catfish |
Northern hog sucker |
Silver redhorse |
Yellow bullhead |
Bluegill |
Freshwater drum |
Northern pike |
Smallmouth bass |
Yellow perch |
Bowfin |
Gizzard shad |
Pumpkinseed |
Tesselated darter |
|
Several important metrics of
the fish community are based on measured diversity and richness of the adult
fish community, both littoral (near-shore) and pelagic (open water). Richness is a count of the number of species
within a community, while diversity considers both the number of species
present and their relative abundance. In
Diversity of the fish community fluctuates
in response to the periodic peaks and crashes of two species of clupeid, the
alewife (Alosa pseudoharengus) and
gizzard shad (Dorosoma cepedianum). Abundance of these two species of the herring
family is highly variable, as
An assessment
of fish reproduction is conducted by several methods including nesting surveys, sampling
of larval fish, and sampling of young of year (YOY) fish. Evaluation of the young fish provides
information on overall health of the fish community within the lake and success
of reproductive efforts from year to year.
Factors other than water quality, including water temperature during and
after spawning, water levels, and trophic dynamics, can affect reproductive
success and need to be considered.
The
centrarchid species in the lake (largemouth and smallmouth bass, pumpkinseed
and bluegill sunfish, rock bass) and bullhead construct nests in the littoral
zone. Each year, the AMP team conducts nesting surveys to estimate the number
and spatial distribution of the nests.
In 2009, 1,995 nests were observed, with a fairly even distribution
between the north (54%) and south (46%) basins.
This represents a more even distribution; for example, as recently as
2007, 84% of the nests were located in the northern basin. More than half of the nests supported pumpkinseed sunfish.
The
2009 sampling program collected larval stages of alewife, bluegill, gizzard
shad, pumpkinseed, white perch, and yellow perch in
Analysis
of largemouth bass catch data indicates the size distribution of this
species is skewed notably toward fish 8-15 inches (203-381 mm) in length,
providing anglers with a consistently large proportion (~70%) of catchable-size
largemouth bass of small to moderate length and a more variable proportion of
fish of relatively large size. Fish
exceeding 20 inches (508 mm) have been collected infrequently during AMP
sampling efforts. This suggests that
fish of this size are rare in
In contrast,
smallmouth bass in
Size distribution of smallmouth bass
in the catch has shown a distinctly different pattern than that of largemouth
bass and indicates that recent catches are dominated by fish of small size
(less than 11 inches). Since 2007, fish
less than 11 inches have comprised approximately 90% of collected smallmouth
bass; fish of this size comprised only 33-60% of the smallmouth bass in
2000-2004. The increase in the
proportion of smaller smallmouth bass collected is due in part to an overall
increase in the numbers of fish of this size, but also reflects declining
numbers in larger size categories.
However, this increase is considered to be a sampling artifact arising
from a habitat shift. Improving
water-quality conditions in the lake’s pelagic zone has made such
areas more habitable for smallmouth bass.
Larger smallmouth bass may also have shifted their habitat use to
off-shore areas due to increased water clarity, increased vegetative cover in
the littoral zone, and to take advantage of the abundant alewife as a forage
base. Smallmouth bass occupying deeper, offshore habitats would be relatively
unsusceptible to capture by the AMP sampling methods.
The analysis of sunfish catch
indicates that the population is dominated by fish of 3-8 inches in length.
Catch results suggest that sunfish production was poor in 2004 and 2005 but has
increased since then, with relatively high numbers of fish of 3-8 inches
available to anglers in 2008 and 2009.
The poor production of bluegill and pumpkinseed in 2004 and 2005 may
have been due to alewife predation on sunfish larvae. Alewife abundance has declined since 2005,
which may have allowed for the recent production of stronger sunfish year
classes.
Sunfish greater than 8 inches in the
catch have been scarce; several factors may be contributing. It is possible that larger sunfish are not
being captured in proportion to their abundance by the gear being used. Larger adult sunfish – at least bluegill -
tend to be more pelagic than juveniles and smaller adults and may be captured
disproportionately less than these other groups when electrofishing littoral
habitats. Slow growth of fish after
reaching reproductive age may also be contributing to low abundance of larger
sunfish in
Size distribution of yellow perch in
the catch indicates that the population is dominated by fish 5-10 inches
long. There have been occasional
increases in the proportion of fish 10-12 inches long. From an angling perspective, the yellow perch
fishery of
Analysis of the size distribution of
the brown bullhead catch indicates that a relatively high proportion of
catchable-size fish greater than 9 inches long, with just over 50% of
catchable-size fish greater than 12 inches in 2009. This affords anglers an
opportunity to catch relatively large brown bullhead. Overall numbers of brown bullhead have been
increasing in recent years, suggesting that a high-quality brown bullhead
fishery is becoming established in
The
occurrence of physical abnormalities in fish captured during AMP sampling is
monitored using a standardized protocol known as DELTFM. DELTFM abnormalities are defined as Deformities,
Erosions, Lesions, Tumors, Fungus, and/or Malignancies. Data are used for trend analysis and to
compare fish collected from
The species
contributing the most to the DELTFM total in 2009 were brown bullhead (48% of
total), white sucker (12%), gizzard shad (9%), pumpkinseed (8%), and largemouth
bass (7%). Of the fish species found
with abnormalities, the percentage of adults collected with DELTFM
abnormalities was greatest for those species generally considered benthic or
bottom-oriented. These species include
brown bullhead, white sucker, shorthead redhorse, silver redhorse, channel catfish
and bowfin.
Most of the abnormalities in the lake’s fish community in 2009
were lesions (63%), followed by erosions and deformities (15% each). Tumors, malignancies, and fungal infections
were relatively rare (<6% combined). Brown bullhead has consistently had the highest
incidence of DELTFM abnormalities of any species collected from
The
cause of the overall increase in DELTFM abnormalities since 2003 is not
understood. No individual species that
have consistently exhibited DELTFM abnormalities have shown a similar increase
over time. Some of the observed overall
increase is due to increases in the abundance of individual species over time. As an example, brown bullhead have been
steadily increasing in abundance in the fish community as a whole. Because this species has a relatively high
incidence of DELTFM abnormalities, an increase in the population size of brown
bullhead has resulted in an increase in the total number of DELTFM
abnormalities observed overall. This
reasoning explains a portion of the observed increase, but it does not account
for all of it.
The
percent of fish of a given species with DELTFM abnormalities is highly variable
from year to year; as a consequence, no individual species has demonstrated a
statistically significant increasing trend in DELTFM abnormalities. Notable increases in lake-wide DELTFM
abnormalities have occurred in 2005, 2008, and 2009. In each of these years, different species
have shown marked increases in DELTFM abnormalities from the previous
year. In 2009, one such species was
gizzard shad. DELTFM abnormalities were
found on 24% (21 of 88) of gizzard shad collected in 2009, compared to a
previous high of 0.8% (1 of 123) in 2006.
Similarly, the number of pumpkinseed with DELTFM abnormalities increased
from a high of 5 in 2008 (3.9% of all abnormalities) to 18 in 2009 (8.0% of all
abnormalities). A large increase in the
incidence of DELTFM abnormalities in a species one year may be followed by a
similar decrease the following year. The
inconsistent and sometimes widely fluctuating incidence of DELTFM abnormalities
in individual fish species complicates identification of causes of the apparent
increase in DELTFM abnormalities over time in the lake.
The
types of DELTFM abnormalities affecting fish in
The
incidence of lesions and tumors in brown bullhead in
6. 6. Integrated Assessment of the Food Web
The improvement in the trophic status of
Furthermore, the long-term
monitoring required by the ACJ has allowed scientists to document the details
of this transition and to integrate the importance of food-web dynamics. At first glance, the story seems simple: nutrient
loading from Metro has been greatly curtailed, and excessive biological
production in the lake has declined as a consequence. But the story is more complex, as events not
directly related to this “bottom-up”
effect have interacted in a synergistic manner to affect the biological
community of
The major decrease (more than 90%)
in ammonia loading from Metro allowed two keystone species to expand
successfully in the lake--the alewife and zebra mussels. A “keystone species”
is one that exerts a large influence on the structure of an ecological
community, despite its relatively small abundance. Both alewife and zebra mussels have had a
major impact on food web dynamics in
Alewife, while exerting strong
predation pressure on zooplankton (as well as on pelagic larval fish), also
serve as prey for larger fish. The presence
of this pelagic prey, in conjunction with improved quality of the deep water,
increased macrophyte abundance in the littoral zone, and improved water clarity
may have contributed to a shift by larger smallmouth bass and yellow perch
toward a more pelagic habitat. These food-web effects on water clarity are
illustrated in Figure 6-1.
Not all of the effects of improved
water quality may be beneficial to the fish community. Expansion of areas used by bottom-dwelling
species may be a cause of increased DELTFM abnormalities as these species
increase use of areas with contaminated sediments. This could explain the increasing incidence
of DELTFM abnormalities in recent years.
Macrophyte coverage and abundance in
In years of high alewife abundance,
fish with pelagic larvae (such as pumpkinseed, bluegill, yellow perch and white
perch) have shown reduced recruitment, which is likely due to predation of
larvae by alewife when alewife abundance is relatively high. Alewives, in turn, serve as forage for
larger, fish-eating species, including smallmouth and largemouth bass, yellow
perch, white perch and walleye. Changes
in the size distribution of smallmouth bass - in particular since 2000 -
suggest that larger adults of this species may have shifted to deeper, offshore
habitat from shallower, littoral habitat.
The availability of alewife as forage in pelagic habitats may be
facilitating this shift. If such a shift
has occurred, this would reflect a change in adult smallmouth bass foraging
from a littoral-based food web to a pelagic-based food web.
Increased macrophyte abundance
presumably has resulted in a substantial increase in production of
macroinvertebrates in the littoral zone.
This in turn promotes the observed increase in abundance of several
littoral fish species that use macrophyte beds for foraging areas. These would include largemouth bass,
pumpkinseed, yellow perch, and brown bullhead among others. Young-of-the-year sport fish and forage fish
species, such as golden shiner, that prefer vegetated habitats are increasing
in number as a result of expanded habitat.
These small fish, in turn, provide additional forage for larger
fish-eating species such as largemouth bass.
The proliferation of zebra and
quagga mussels in the lake after reductions in ammonia levels may be helping to
support the increased abundance of species like pumpkinseed by providing an abundant
food source. Other species like
freshwater drum, yellow perch and common carp that are known to feed on mussels
are also likely benefitting from the increasing abundance of these mussels. Consumption of mussels by multiple fish
species provides another connection between the littoral-based food web and the
pelagic-based food web. The increasing
complexity of the overall food web in
Overall, there has been an increase
in the quantity and quality of habitat available to fish species in
7. Progress with
Related Initiatives
Honeywell International, Inc., is proceeding with
remediation of legacy industrial pollution under regulatory oversight. To date,
efforts have focused on identification and removal of sources to prevent
additional contamination from reaching the lake. Now, the remedial project
effort is addressing contaminated lake sediments. Plans for sediment dredging
and capping in certain areas, mostly in the southern littoral zone, are under
review. Information on the Honeywell project submittals is available online at www.dec.ny.gov/chemical/37558.html on the NYSDEC website.
The Onondaga Lake Basin
Model will be used to analyze the effects that proposed BMPs in the tributary
subwatersheds are likely to have on the loads of phosphorus and nitrogen
entering the lake. These BMPs will include both actions on the landscape (for
example, guiding land use changes) and actions to manage hydrology (for
example, through detention and storage). The link to reports of the Onondaga
Lake Basin Model is http://ny.cf.er.usgs.gov/nyprojectsearch/projects/2457-AF3-1.html.
Onondaga
County Department of Water Environment Protection and the Onondaga
Environmental Institute (OEI) www.onondagaenvironmentalinstitute.org are collaborating on an extensive monitoring and
surveillance program designed to identify and, ultimately, remediate dry
weather sources of bacteria to the lower reaches of Onondaga Creek and Harbor
Brook. Two phases of the investigation have now been completed, with multiple
rounds of sampling during dry weather.
Samples were collected from seven sites along a five mile segment of
Harbor Brook, and 22 sites along a 24-mile segment of Onondaga Creek. Results
have pinpointed specific areas where bacteria are entering the creeks, and
helped direct remedial work on the aging wastewater collection infrastructure
within the City of
A conceptual design and plan for revitalization of
Onondaga Creek
has been
developed by representatives of the City of Syracuse, Onondaga Environmental
Institute, Cornell Cooperative Extension of Onondaga County, Atlantic States
Legal Foundation, the SUNY College of Environmental Science and Forestry, and
Canopy, a coalition of parks associations and community gardens in the City of
Syracuse. Project information is posted
at www.esf.edu/onondagacreek/project.htm.
Each year, Onondaga County DWEP updates a bibliography of published information on
Exploration of green technology solutions to the challenges
facing
As efforts continue to reduce point and nonpoint sources of
pollution to the lake, other projects are underway to enhance recreational
access and opportunities for community involvement with the lake and its
shoreline. Planning and design of Phase 1 of the Creekwalk to connect
8.
8. Emerging
Issues and Recommendations
From its inception, the Ambient Monitoring Program was designed
for modification in response to new information or changes in regulatory
policy. The fourth stipulation amending the ACJ directed
This
2009 AMP report includes an examination of the first ten years of data from the
County’s fishery monitoring program. A few minor modifications to the fishery
program design are recommended to address emerging issues and gaps. First, the
significance of observed abnormalities on captured fish merits additional
investigation and documentation. Several research and monitoring efforts to
characterize the fish community are currently underway on behalf of Honeywell
International and the State University of NY College of Environmental Science
and Forestry. Noting likely capture injuries, such as erosion of a dorsal fin,
may help differentiate potential impacts of exposure to sediment contaminants.
Common carp are currently not examined for DELTFM abnormalities, due to the
difficulty of examining these large fish on board the monitoring boat. As
benthic feeders, the condition of carp in the lake may provide useful
information, and it is recommended that a few (2-4) carp be examined in each of
the electrofishing transects. Second,
the County’s design for gill netting (short duration daytime net sets, parallel
to shore) is not optimal; nighttime sets perpendicular to the shore would
likely provide better capture. A side-by-side program is recommended to extend
the utility of the historical data. Third, determining the age of fish captured
would help quantify growth patterns. Onondaga County fisheries biologists have
archived fish scales that could be aged; it is recommended that this effort
proceed.
In
addition to these relatively detailed recommendations related to the fisheries
program, there is an important emerging issue that will affect analysis and
interpretation of all the lake’s biological and habitat data. An extensive
habitat restoration program will be implemented by Honeywell International,
beginning in 2012, to mitigate the impact of legacy pollution and habitat loss.
The plans call for dredging and capping some littoral areas, including regions
of Onondaga Lake monitored for macrophytes, macroinvertebrates and fish as part
of the AMP. Baseline characterization of affected areas is underway by consultants
to Honeywell International. The County anticipates integrating the Honeywell
activities and data into the overall evaluation of the lake’s ecosystem.
As
water quality conditions of Onondaga Lake improve and become comparable to
conditions measured in other waterways, non-indigenous species of zooplankton,
mussels, phytoplankton, fish and macrophytes are able to become established.
Invasive species from the Great Lakes basin are able to reach the lake through
the Seneca/Oneida/Oswego Basin. Analysis of the status of non-indigenous
aquatic species will be included in the 2010 AMP report; results of the 2010
intensive surveys of the macrophyte and littoral macroinvertebrate communities
will inform this analysis.
The Onondaga Lake Water Quality
Model is nearing completion. This important tool was developed and calibrated
using data from the AMP, and has been subject to outside expert peer review.
This model will serve the entire community by defining the water quality and
aquatic habitat benefits, if any, realized by further reducing nutrient and
sediment inputs from point and nonpoint sources.
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