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Tony Walker, EP, PhD
Devin MacAskill PEng, MAS
Environmental Effects Monitoring in
Sydney Harbour During Remediation of
One of Canada’s Most Polluted Sites:
A Review and Lessons Learned
 Environmental Impact Statement (EIS) & Joint Review Panel (JRP) concluded
 “Remediation unlikely to cause significant negative environmental impacts with
implementation of appropriate mitigation”
 EEM designed to
 Determine effectiveness of mitigation
 Verify effects predictions made in EIS
 Designed to assess positive / negative changes potentially attributed to remediation
 EEM reviewed by federal & provincial departments
 GW monitoring
 SW monitoring
 Marine EEM Program (MEEMP)
 Continuous improvements made to MEEMP
 Lessons learned
Monitoring Effects of Remediation
Marine EEM Program
 Water Quality (WQ)
 24h auto sampler
 Water grabs (surface & near bottom)
 Mussel Tissue
 Sediment Quality
 Sediment Chemistry (grabs & traps)
 Crab Hepatopancreas Tissue
 Benthic Community
 Inter-tidal (5 transects using quadrats)
 Sub-tidal (sieve analysis for benthic invertebrates)
Detection of changes
Short term
Long term
Marine EEM Sampling
 Spatial & temporal sampling
 Stations - 9
 Area 1 – Near-field
 Area 2 – Mid-field
 Area 3 – Far-field/reference
 Area 4 – Sydney River Estuary
 Sampling
 2009 baseline
 2010 1st yr remediation
 2011 2nd yr remediation
 2012 3rd yr remediation
 Changes to MEEMP
 Added 2 more stations
 Monthly 24h auto-seawater composites
 Monthly water grabs (surface & near bottom)
at all harbour stations
 Parameters
 Total Suspended Solids (TSS)
 Total Organic Carbon (TOC)
 General chemistry
 PAHs & PCBs
 Metals
 USEPA 95% upper confidence limits (UCL95)
calculated for site specific baseline WQ data
Marine EEM: WQ
 Highest [TSS] observed during baseline
 Peaks correlated to rainfall events NOT remediation
 Overall [TSS] low close to reportable detection limits, RDLs (2 mg/L)
WQ: TSS 24H Auto
Non Detect Problems: WQ
Sample
Location
Sample Date
TSS NH3 TOC Cd Cu Pb Hg Pyrene Phenanthrene Fluoranthene
mg/L mg/L mg/L µg/L µg/L µg/L µg/L µg/L µg/L µg/L
RDL 2 0.05 0.5 0.017 2 1 0.013 0.01 0.01 0.01
MarWat-1-1
Deep
04/21/09 6 <0.05 <0.5 0.085 <10 <5 <0.013 <0.01 0.02 <0.01
04/21/09D 8 <0.05 <0.5 0.085 <10 5.9 0.016 <0.01 <0.01 <0.01
05/21/09 5 <0.05 <0.5 0.13 <10 <5 <0.013 <0.01 <0.01 <0.01
05/21/09D 6 <0.05 <0.5 0.088 <10 <5 <0.013 <0.01 <0.01 <0.01
06/16/09 <2 <0.05 <0.5 0.085 77 <5 0.021 <0.01 <0.01 <0.01
07/17/09 49 <0.05 <0.5 0.052 <4 <2 0.019 <0.01 <0.01 <0.01
07/17/09D 2 <0.05 <0.5 0.042 <2 <1 0.017 <0.01 <0.01 <0.01
11/08/09D 6 0.06 <0.5 0.046 <2 <1 0.03 0.02 0.01 0.02
11/08/09 3 0.07 <0.5 0.93 <10 <5 0.031 0.02 0.01 0.02
12/10/09D 4 0.14 <0.5 0.085 <10 <5 <0.013 0.01 0.01 0.02
12/10/09 9 <0.05 <0.5 0.19 <10 <5 0.018 <0.01 <0.01 <0.01
04/28/10D 5 <0.05 <0.5 0.056 <2 <1 <0.013 <0.01 <0.01 <0.01
04/28/10 7 <0.05 <0.5 0.048 <2 <1 <0.013 0.01 0.02 0.02
06/02/10D 4 <0.05 <0.5 0.1 <2 <1 <0.013 <0.01 0.02 0.02
06/02/10 <2 <0.05 <0.5 0.038 <2 <1 <0.013 <0.01 0.02 0.01
06/29/10D 5 <0.05 <0.5 0.18 <20 <10 <0.013 0.01 0.01 0.01
06/29/10 3 <0.05 <0.5 <0.017 <20 <10 <0.013 0.05 0.05 0.06
07/29/10 5 0.11 <0.5 0.05 <2 <1 <0.013 <0.01 <0.01 <0.01
08/26/10 5 <0.05 <0.5 0.2 <20 <10 <0.013 <0.01 <0.01 <0.01
09/30/10 4 <0.05 <0.5 0.097 <2 <1 <0.013 <0.01 0.01 <0.01
10/28/10 6 <0.05 <0.5 <0.017 <20 <10 <0.013 0.02 0.02 0.01
11/17/10 4 <0.05 <0.5 <0.17 <20 <10 0.014 <0.01 <0.01 <0.01
04/20/11 <2 <0.05 <0.5 0.24 <20 <10 <0.013 <0.01 0.01 <0.01
05/19/11 6 0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.01 0.01
06/28/11 4 0.08 0.6 <0.17 <20 <10 0.013 <0.01 <0.01 <0.01
07/18/11 4 0.06 <5 <0.17 <20 <10 <0.013 <0.01 <0.01 <0.01
08/31/11 5 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 <0.01 <0.01
09/29/11 3 0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.01 <0.01
10/25/11 6 0.06 <5 <0.17 <20 <10 <0.02 <0.01 <0.01 <0.01
12/09/11 6 <0.05 0.7 0.26 <20 <10 <0.013 <0.01 <0.01 <0.01
04/27/12 2.5 <0.05 <5 <0.17 <20 <10 0.017 <0.01 <0.01 <0.01
05/31/12 3.5 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.02 <0.01
06/12/12 2 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.03 <0.01
07/23/12 5 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 <0.01 <0.01
08/14/12 2 <0.05 <5 <0.17 <20 <10 0.016 <0.01 <0.01 <0.01
 Non detects
 Many WQ parameters <RDLs
 <RDLs make determination of positive or negative temporal changes difficult
 Some metals had increased RDL values up to 10x
 Cu = 2, 4, 10, 20 µg/L
 Different approaches for using non detect data
 Common approach uses ½RDL value as substitution
 Replace <RDL value with zero - biased low
 Replace <RDL value actual RDL - biased high
 US EPA UCL95 includes WQ data with <RDLs
 Changes to MEEMP
 Used actual RDL value to be overly conservative
 Argued for continuance of WQ monitoring to detect potential contaminant releases
Non Detect Problems: WQ
Sediment Quality: PAHs
 Significant increase in PAHs in Yr 1
 Some agencies called for termination of
remediation after 1st year (Premature?)
 Subsequent monitoring showed a
continued decrease in PAHs
 Not significantly different from baseline
 Within predicted ranges reported by
Smith et al. (2009)
 EIS prediction of no significant
environmental impacts in SH
confirmed?
Sediment Quality: PAHs
Sediment Quality: Metals
 Little apparent temporal variation
 Some metals may show subtle decreases (eg. Hg, Pb & Zn)?
 EIS prediction of no significant environmental impacts in SH confirmed?
Monitoring Year
Baseline Yr 1 Yr 2 Yr 3
Asconcentrationsinsurfacesediment(µgg-1
)
0
15
30
45
Monitoring Year
Baseline Yr 1 Yr 2 Yr 3
Cdconcentrationsinsurfacesediment(µgg-1
)
0
1
2
3
4
5
Monitoring Year
Baseline Yr 1 Yr 2 Yr 3
Cuconcentrationsinsurfacesediment(µgg-1
)
0
50
100
150
Monitoring Year
Baseline Yr 1 Yr 2 Yr 3
Hgconcentrationsinsurfacesediment(µgg-1
)
0.00
0.25
0.50
0.75
Monitoring Year
Baseline Yr 1 Yr 2 Yr 3
Pbconcentrationsinsurfacesediment(µgg-1
)
0
40
80
120
160
200
Monitoring Year
Baseline Yr 1 Yr 2 Yr 3
Znconcentrationsinsurfacesediment(µgg-1
)
0
50
100
150
200
250
300
350
As Cd Cu
Hg Pb Zn
Heavy Metal(s) Lives On!
Sediment Quality: Sediment Traps
 Low sedimentation rates
 0.4 – 0.8 cm/yr
 Limited material for
 Sediment chemical analysis
 Amphipod toxicity testing
 Changes to MEEMP
 Sediment traps discontinued
 Some triplicate sampling to assess
intra-station variation
 Grabs and DFO gravity SLO-CORER
compared
Sampling stations
3-1 3-2 4-1 1-3 1-2 1-1 2-3 2-2 2-1
Sedimentdepositionrate(cmyr-1
)
0.0
0.2
0.4
0.6
0.8
 Commercial blue mussels deployed & analyzed for
 PAHs, PCBs, As, Cd, Cu, Hg, Pb, Zn & Lipids
 Condition Index
 Most PAHs <RDLs
 Except fluoranthene & pyrene
 [PCB] <RDLs in baseline, yrs 1 & 3
 Some detections in yr 2
 [Metals] showed little spatial variation
 EIS prediction of no significant environmental
impacts in SH confirmed?
In situ Mussels
In situ Mussels: Challenges
 Invasive tunicates covered frames
 Missing frames
 Suspect stealing of buoys & shackles
 Massive dredging project
 Between Oct 2011-Jan 2012 ~4.2 million m3 of
dredged sediment used for infilling in a
confined disposal facility (CDF) for proposed
container terminal
 Changes to MEEMP
 Chemistry measured prior to deployment
 Condition Index discontinued – inconclusive
 Mussel monitoring temporarily suspended
during dredging
 Station 2-2 permanently lost
Crab Tissue
 Adult male rock crabs collected each July (102-130 mm)
 DFO scientific crab licenses obtained prior to collection
 Triplicate crab traps, baited with mackerel, deployed at each
station & retrieved 2d later
 Crabs (6-13) from triplicate traps pooled to obtain min. wt
required for composite hepatopancreas tissue analysis
 Hepatopancreas tissue from live crabs analyzed for
 PAHs, PCBs, As, Cd, Cu, Hg, Pb & Zn
Crab Tissue: PCBs, PAHs & Metals
Monitoring year
Baseline Yr 1 Yr 2 Yr 3
0
1
2
3
4 CFIA Limit
DL
A
A
A
A
STPRemediationBegan
[PCB]incrabtissue(µgg-1
)
Hepatopancreas
Rockcrab
PCB,PAHandmetal analysis
4years monitoring
PAHsundetected
PCBsdecreasing
Metalsstable
Crab Tissue: Challenges
 Occasional by-catch
 Invasive green crabs
 American lobster
 Sometimes no crabs caught
 Massive dredging project
 Infill for CDF for new container
terminal (2011-2012)
 Other traps lost or stolen
 Changes to MEEMP
 Station 2-2 permanently lost
Benthic Community Assessment
 Composition & distribution
 Yr 1 & 2 similar to baseline & earlier study
by Stewart et al. (2002)
 Total animal abundance
 Significantly higher since baseline
 Positive changes since baseline
 Community differences
 Driven more by organic enrichment rather
than contaminant concentrations
 Changes to MEEMP
 Discontinued after 3 seasons - inconclusive
Contaminants in Various Media
Walker, T.R., & MacAskill, D. (2014). Monitoring water quality in Sydney Harbour using blue mussels during remediation of the Sydney Tar Ponds, Nova Scotia, Canada. Environ. Monit. Assess. 186, 1623-1638.
Walker, T.R., et al. (2013a) Monitoring effects of remediation on natural sediment recovery in Sydney Harbour, Nova Scotia. Environ. Monit. Assess. 185, 8089-8107.
Walker, T.R., et al. (2013b) Environmental Recovery in Sydney Harbour, Nova Scotia: Evidence of Natural and Anthropogenic Sediment Capping. Mar. Pollut. Bull. 74, 446-452.
Walker, T.R., et al. (2013c) Legacy contaminant bioaccumulation in rock crabs in Sydney Harbour during remediation of the Sydney Tar Ponds, Nova Scotia, Canada. Mar. Pollut. Bull. 77, 412-417.
Media
Detection of
Effects
PAH PCB As Cd Cu Hg Pb Zn
JRP
Significance
Reference
Water quality Short term → →/nd → ↓ → → → → Not significant (Walker & MacAskill 2014)
Blue mussels Medium term →/nd →/nd → → → → ↑ ↑ Not significant (Walker & MacAskill 2014)
Surface sediment Medium term → → → → → ↓ → ↓ Not significant (Walker et al. 2013a,b)
Rock crabs Longer term →/nd ↓ → → → → →/nd → Not significant (Walker et al. 2013c)
→ = Stable
↓ = Decreasing
↑ = Potentially increasing
nd = Not detected
Summary
 EEM in SH did not detect substantial contaminant releases
 Many parameters decreased despite ongoing remediation
 [PAHs] in sediments increased during yr 1, but now decreasing
 Results within predicted ‘natural recovery’ ranges reported by Smith et al. (2009)
 Dredging may have had positive environmental effect on Sydney Harbour
 Detection of these changes attests to effectiveness of EEM programs
 EIS prediction of no significant environmental impacts in SH confirmed?
Lessons Learned
 Calls for termination of remediation by regulators after 1 yr was premature
 Several years of baseline data required to properly understand range of natural
inter-annual variation
 Some EEM components removed only after several years of inconclusive data
 Cumulative impacts from other industrial activities / weather events should be
considered during large-scale remediation projects
 Some agencies requested reduction in MEEMP to reduce costs, but collecting a
range of multimedia helps build stronger evidence of potential effects
 Longer term monitoring of fewer multimedia to assess long-term performance
of S/S remediation over decadal timeframes
 EEM programs can also become important research studies
Thank You
Dr Tony R. Walker
School for Resource and Environmental Studies
Dalhousie University
Email: trwalker@dal.ca

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CLRA MSSS 2015 Walker Winnipeg

  • 1. Tony Walker, EP, PhD Devin MacAskill PEng, MAS Environmental Effects Monitoring in Sydney Harbour During Remediation of One of Canada’s Most Polluted Sites: A Review and Lessons Learned
  • 2.  Environmental Impact Statement (EIS) & Joint Review Panel (JRP) concluded  “Remediation unlikely to cause significant negative environmental impacts with implementation of appropriate mitigation”  EEM designed to  Determine effectiveness of mitigation  Verify effects predictions made in EIS  Designed to assess positive / negative changes potentially attributed to remediation  EEM reviewed by federal & provincial departments  GW monitoring  SW monitoring  Marine EEM Program (MEEMP)  Continuous improvements made to MEEMP  Lessons learned Monitoring Effects of Remediation
  • 3. Marine EEM Program  Water Quality (WQ)  24h auto sampler  Water grabs (surface & near bottom)  Mussel Tissue  Sediment Quality  Sediment Chemistry (grabs & traps)  Crab Hepatopancreas Tissue  Benthic Community  Inter-tidal (5 transects using quadrats)  Sub-tidal (sieve analysis for benthic invertebrates) Detection of changes Short term Long term
  • 4. Marine EEM Sampling  Spatial & temporal sampling  Stations - 9  Area 1 – Near-field  Area 2 – Mid-field  Area 3 – Far-field/reference  Area 4 – Sydney River Estuary  Sampling  2009 baseline  2010 1st yr remediation  2011 2nd yr remediation  2012 3rd yr remediation  Changes to MEEMP  Added 2 more stations
  • 5.  Monthly 24h auto-seawater composites  Monthly water grabs (surface & near bottom) at all harbour stations  Parameters  Total Suspended Solids (TSS)  Total Organic Carbon (TOC)  General chemistry  PAHs & PCBs  Metals  USEPA 95% upper confidence limits (UCL95) calculated for site specific baseline WQ data Marine EEM: WQ
  • 6.  Highest [TSS] observed during baseline  Peaks correlated to rainfall events NOT remediation  Overall [TSS] low close to reportable detection limits, RDLs (2 mg/L) WQ: TSS 24H Auto
  • 7. Non Detect Problems: WQ Sample Location Sample Date TSS NH3 TOC Cd Cu Pb Hg Pyrene Phenanthrene Fluoranthene mg/L mg/L mg/L µg/L µg/L µg/L µg/L µg/L µg/L µg/L RDL 2 0.05 0.5 0.017 2 1 0.013 0.01 0.01 0.01 MarWat-1-1 Deep 04/21/09 6 <0.05 <0.5 0.085 <10 <5 <0.013 <0.01 0.02 <0.01 04/21/09D 8 <0.05 <0.5 0.085 <10 5.9 0.016 <0.01 <0.01 <0.01 05/21/09 5 <0.05 <0.5 0.13 <10 <5 <0.013 <0.01 <0.01 <0.01 05/21/09D 6 <0.05 <0.5 0.088 <10 <5 <0.013 <0.01 <0.01 <0.01 06/16/09 <2 <0.05 <0.5 0.085 77 <5 0.021 <0.01 <0.01 <0.01 07/17/09 49 <0.05 <0.5 0.052 <4 <2 0.019 <0.01 <0.01 <0.01 07/17/09D 2 <0.05 <0.5 0.042 <2 <1 0.017 <0.01 <0.01 <0.01 11/08/09D 6 0.06 <0.5 0.046 <2 <1 0.03 0.02 0.01 0.02 11/08/09 3 0.07 <0.5 0.93 <10 <5 0.031 0.02 0.01 0.02 12/10/09D 4 0.14 <0.5 0.085 <10 <5 <0.013 0.01 0.01 0.02 12/10/09 9 <0.05 <0.5 0.19 <10 <5 0.018 <0.01 <0.01 <0.01 04/28/10D 5 <0.05 <0.5 0.056 <2 <1 <0.013 <0.01 <0.01 <0.01 04/28/10 7 <0.05 <0.5 0.048 <2 <1 <0.013 0.01 0.02 0.02 06/02/10D 4 <0.05 <0.5 0.1 <2 <1 <0.013 <0.01 0.02 0.02 06/02/10 <2 <0.05 <0.5 0.038 <2 <1 <0.013 <0.01 0.02 0.01 06/29/10D 5 <0.05 <0.5 0.18 <20 <10 <0.013 0.01 0.01 0.01 06/29/10 3 <0.05 <0.5 <0.017 <20 <10 <0.013 0.05 0.05 0.06 07/29/10 5 0.11 <0.5 0.05 <2 <1 <0.013 <0.01 <0.01 <0.01 08/26/10 5 <0.05 <0.5 0.2 <20 <10 <0.013 <0.01 <0.01 <0.01 09/30/10 4 <0.05 <0.5 0.097 <2 <1 <0.013 <0.01 0.01 <0.01 10/28/10 6 <0.05 <0.5 <0.017 <20 <10 <0.013 0.02 0.02 0.01 11/17/10 4 <0.05 <0.5 <0.17 <20 <10 0.014 <0.01 <0.01 <0.01 04/20/11 <2 <0.05 <0.5 0.24 <20 <10 <0.013 <0.01 0.01 <0.01 05/19/11 6 0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.01 0.01 06/28/11 4 0.08 0.6 <0.17 <20 <10 0.013 <0.01 <0.01 <0.01 07/18/11 4 0.06 <5 <0.17 <20 <10 <0.013 <0.01 <0.01 <0.01 08/31/11 5 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 <0.01 <0.01 09/29/11 3 0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.01 <0.01 10/25/11 6 0.06 <5 <0.17 <20 <10 <0.02 <0.01 <0.01 <0.01 12/09/11 6 <0.05 0.7 0.26 <20 <10 <0.013 <0.01 <0.01 <0.01 04/27/12 2.5 <0.05 <5 <0.17 <20 <10 0.017 <0.01 <0.01 <0.01 05/31/12 3.5 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.02 <0.01 06/12/12 2 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 0.03 <0.01 07/23/12 5 <0.05 <5 <0.17 <20 <10 <0.013 <0.01 <0.01 <0.01 08/14/12 2 <0.05 <5 <0.17 <20 <10 0.016 <0.01 <0.01 <0.01
  • 8.  Non detects  Many WQ parameters <RDLs  <RDLs make determination of positive or negative temporal changes difficult  Some metals had increased RDL values up to 10x  Cu = 2, 4, 10, 20 µg/L  Different approaches for using non detect data  Common approach uses ½RDL value as substitution  Replace <RDL value with zero - biased low  Replace <RDL value actual RDL - biased high  US EPA UCL95 includes WQ data with <RDLs  Changes to MEEMP  Used actual RDL value to be overly conservative  Argued for continuance of WQ monitoring to detect potential contaminant releases Non Detect Problems: WQ
  • 9. Sediment Quality: PAHs  Significant increase in PAHs in Yr 1  Some agencies called for termination of remediation after 1st year (Premature?)  Subsequent monitoring showed a continued decrease in PAHs  Not significantly different from baseline  Within predicted ranges reported by Smith et al. (2009)  EIS prediction of no significant environmental impacts in SH confirmed?
  • 11. Sediment Quality: Metals  Little apparent temporal variation  Some metals may show subtle decreases (eg. Hg, Pb & Zn)?  EIS prediction of no significant environmental impacts in SH confirmed? Monitoring Year Baseline Yr 1 Yr 2 Yr 3 Asconcentrationsinsurfacesediment(µgg-1 ) 0 15 30 45 Monitoring Year Baseline Yr 1 Yr 2 Yr 3 Cdconcentrationsinsurfacesediment(µgg-1 ) 0 1 2 3 4 5 Monitoring Year Baseline Yr 1 Yr 2 Yr 3 Cuconcentrationsinsurfacesediment(µgg-1 ) 0 50 100 150 Monitoring Year Baseline Yr 1 Yr 2 Yr 3 Hgconcentrationsinsurfacesediment(µgg-1 ) 0.00 0.25 0.50 0.75 Monitoring Year Baseline Yr 1 Yr 2 Yr 3 Pbconcentrationsinsurfacesediment(µgg-1 ) 0 40 80 120 160 200 Monitoring Year Baseline Yr 1 Yr 2 Yr 3 Znconcentrationsinsurfacesediment(µgg-1 ) 0 50 100 150 200 250 300 350 As Cd Cu Hg Pb Zn
  • 13. Sediment Quality: Sediment Traps  Low sedimentation rates  0.4 – 0.8 cm/yr  Limited material for  Sediment chemical analysis  Amphipod toxicity testing  Changes to MEEMP  Sediment traps discontinued  Some triplicate sampling to assess intra-station variation  Grabs and DFO gravity SLO-CORER compared Sampling stations 3-1 3-2 4-1 1-3 1-2 1-1 2-3 2-2 2-1 Sedimentdepositionrate(cmyr-1 ) 0.0 0.2 0.4 0.6 0.8
  • 14.  Commercial blue mussels deployed & analyzed for  PAHs, PCBs, As, Cd, Cu, Hg, Pb, Zn & Lipids  Condition Index  Most PAHs <RDLs  Except fluoranthene & pyrene  [PCB] <RDLs in baseline, yrs 1 & 3  Some detections in yr 2  [Metals] showed little spatial variation  EIS prediction of no significant environmental impacts in SH confirmed? In situ Mussels
  • 15. In situ Mussels: Challenges  Invasive tunicates covered frames  Missing frames  Suspect stealing of buoys & shackles  Massive dredging project  Between Oct 2011-Jan 2012 ~4.2 million m3 of dredged sediment used for infilling in a confined disposal facility (CDF) for proposed container terminal  Changes to MEEMP  Chemistry measured prior to deployment  Condition Index discontinued – inconclusive  Mussel monitoring temporarily suspended during dredging  Station 2-2 permanently lost
  • 16. Crab Tissue  Adult male rock crabs collected each July (102-130 mm)  DFO scientific crab licenses obtained prior to collection  Triplicate crab traps, baited with mackerel, deployed at each station & retrieved 2d later  Crabs (6-13) from triplicate traps pooled to obtain min. wt required for composite hepatopancreas tissue analysis  Hepatopancreas tissue from live crabs analyzed for  PAHs, PCBs, As, Cd, Cu, Hg, Pb & Zn
  • 17. Crab Tissue: PCBs, PAHs & Metals Monitoring year Baseline Yr 1 Yr 2 Yr 3 0 1 2 3 4 CFIA Limit DL A A A A STPRemediationBegan [PCB]incrabtissue(µgg-1 ) Hepatopancreas Rockcrab PCB,PAHandmetal analysis 4years monitoring PAHsundetected PCBsdecreasing Metalsstable
  • 18. Crab Tissue: Challenges  Occasional by-catch  Invasive green crabs  American lobster  Sometimes no crabs caught  Massive dredging project  Infill for CDF for new container terminal (2011-2012)  Other traps lost or stolen  Changes to MEEMP  Station 2-2 permanently lost
  • 19. Benthic Community Assessment  Composition & distribution  Yr 1 & 2 similar to baseline & earlier study by Stewart et al. (2002)  Total animal abundance  Significantly higher since baseline  Positive changes since baseline  Community differences  Driven more by organic enrichment rather than contaminant concentrations  Changes to MEEMP  Discontinued after 3 seasons - inconclusive
  • 20. Contaminants in Various Media Walker, T.R., & MacAskill, D. (2014). Monitoring water quality in Sydney Harbour using blue mussels during remediation of the Sydney Tar Ponds, Nova Scotia, Canada. Environ. Monit. Assess. 186, 1623-1638. Walker, T.R., et al. (2013a) Monitoring effects of remediation on natural sediment recovery in Sydney Harbour, Nova Scotia. Environ. Monit. Assess. 185, 8089-8107. Walker, T.R., et al. (2013b) Environmental Recovery in Sydney Harbour, Nova Scotia: Evidence of Natural and Anthropogenic Sediment Capping. Mar. Pollut. Bull. 74, 446-452. Walker, T.R., et al. (2013c) Legacy contaminant bioaccumulation in rock crabs in Sydney Harbour during remediation of the Sydney Tar Ponds, Nova Scotia, Canada. Mar. Pollut. Bull. 77, 412-417. Media Detection of Effects PAH PCB As Cd Cu Hg Pb Zn JRP Significance Reference Water quality Short term → →/nd → ↓ → → → → Not significant (Walker & MacAskill 2014) Blue mussels Medium term →/nd →/nd → → → → ↑ ↑ Not significant (Walker & MacAskill 2014) Surface sediment Medium term → → → → → ↓ → ↓ Not significant (Walker et al. 2013a,b) Rock crabs Longer term →/nd ↓ → → → → →/nd → Not significant (Walker et al. 2013c) → = Stable ↓ = Decreasing ↑ = Potentially increasing nd = Not detected
  • 21. Summary  EEM in SH did not detect substantial contaminant releases  Many parameters decreased despite ongoing remediation  [PAHs] in sediments increased during yr 1, but now decreasing  Results within predicted ‘natural recovery’ ranges reported by Smith et al. (2009)  Dredging may have had positive environmental effect on Sydney Harbour  Detection of these changes attests to effectiveness of EEM programs  EIS prediction of no significant environmental impacts in SH confirmed?
  • 22. Lessons Learned  Calls for termination of remediation by regulators after 1 yr was premature  Several years of baseline data required to properly understand range of natural inter-annual variation  Some EEM components removed only after several years of inconclusive data  Cumulative impacts from other industrial activities / weather events should be considered during large-scale remediation projects  Some agencies requested reduction in MEEMP to reduce costs, but collecting a range of multimedia helps build stronger evidence of potential effects  Longer term monitoring of fewer multimedia to assess long-term performance of S/S remediation over decadal timeframes  EEM programs can also become important research studies
  • 23. Thank You Dr Tony R. Walker School for Resource and Environmental Studies Dalhousie University Email: trwalker@dal.ca