RMP Dioxin Strategy

1
RMP Dioxin Strategy
Item 9

• Susan Klosterhaus
• Sources Pathways and Loadings Workgroup
• 05-27-09

2
Dioxin Strategy Questions
Item 9

• Are the beneficial uses of San Francisco Bay
  impaired by dioxins?
• What is the spatial pattern of dioxin impairment?
• What is the dioxin reservoir in Bay sediments and
  water?
• Have dioxin loadings/concentrations changed over
  time?
• What is the relative contribution of each loading
  pathway as a source of dioxin impairment in the
  Bay?
• What future impairment is predicted for dioxins
  in the Bay?

3
Item 9
FIVE YEAR PLAN FOR RMP DIOXIN WORK
Costs include data management, analysis, and
reporting (30 of total)
Questions 1. Are the beneficial uses of San
Francisco Bay impaired by dioxins? 2. What is the
spatial pattern of dioxin impairment? 3. What is
the dioxin reservoir in Bay sediments and
water? 4. Have dioxin loadings/concentrations
changed over time? 5. What is the relative
contribution of each loading pathway as a source
of dioxin impairment in the Bay? 6. What future
impairment is predicted for dioxins in the Bay?
4
Tributary Loadings/Delta Outflow
Item 9
5
Item 9
Tributary Loadings/Delta Outflow

• Whole water samples (10 L)
• 16 samples (4 samples x 4 storm events/year)
• Rising and peak stages of wet season storm events
• For other POCs, 32 samples/wet season
• 1450/sample (10L samples)

6
Do DQOs Meet Needs?
Item 9

• Dioxin QAPP draft being reviewed by AXYS
  Analytical
• What are the needs?
• Specific enough? (N change with X samples)
• Cannot predict all uses
• Can explicitly warn data users about uncertainty
  in the QAPP, data access pages
• Monte Carlo simulation of measurement uncertainty
  inserted into models?
• What are the limitations?
• If lots of ND data, can only say TEQ lt sum MDLs

7
Atmospheric Deposition (25,000)
Item 9

• Ambient data from CADAMP/NDAMN
• Data, methods information gathering
• Model air/water transfer (no sampling)
• SFEI, Water Board work with CARB to develop
  strategy
• Data use
• Loading pathways (Q5)
• Future impairment (Q6)

8
One-box/Mass budget model (20,000)
Item 9

• Similar to PBDE one-box model
• Created in 2010
• Available surface sediment, loading data
• Data use
• Future impairment (Q6)

9
Foodweb Modeling (20,000)
Item 9

• Surface sediment, water, sport fish data
• Similar to PCB TMDL, linked to one-box model
• Create in 2012
• Biota-sediment accumulation factors (BSAFs)
• Bioaccumulation equivalency factors (BEFs)
• Data use
• Future impairment (Q6)

10
Sport Fish (22,000 per effort)
Item 9

• Collect in 2009, 2012
• 5 ST monitoring sites
• White croaker, shiner surfperch (10 each)
• Data use
• Screening threshold exceedence (Q1)
• Spatial variation in foodweb uptake (Q2)
• Time trends (Q4)
• Foodweb modeling (Q6)

11
Item 9
Bird eggs (10,000)

• Collect in 2012
• 3 ST monitoring sites
• Cormorant eggs (3 samples/site 9 total)
• Data use
• Spatial variation in foodweb uptake (Q2)
• Time trends (Q4)

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Surface sediment (57,000 per effort)
Item 9

• Collect in 2008 (dry), 2009 (wet), 2012 (dry)
• 47 ST monitoring sites
• Re-evaluate annually
• Data use
• Spatial variation (Q2)
• Reservoir in the Bay (Q3)
• Time trends (Q4)
• Foodweb model, One-box model (Q6)

13
Bay Surface Water (20,000 per effort)
Item 9

• Collect in 2009, 2011
• 22 ST monitoring sites
• 100 L samples
• Extracted with PCBs
• Data use
• Spatial variation (Q2)
• Reservoir in the water column (Q3)
• Foodweb model, one-box model (Q6)

14
Sediment Cores (57,000 per effort)
Item 9

• 11 cores x 4 sections 44 samples
• 4 sections 1980, 1960, 1940, lt1850?
• Analyze cores on-hand, re-evaluate need for more
• Data use
• Reservoir in sediments (Q3)
• Loadings/concentrations change over time (Q4)
• Future impairment (Q6)