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Characterization
of Metals in
Marine Sediments
using
X-Ray
Fluorescence
4th
International Conference on Remediation of Contaminated Sediments
Wolfgang Calicchio, Peter Baker, Tige Cunningham, and
Chris Ricardi
MACTEC Engineering and Consulting, Inc.
Callahan Mine
Superfund Site
Brooksville, Maine
Let’s Expand Use of XRF
Tailings Pile
Tailings Pile
Why discuss XRF?
 Widely Used ??
 Widely Accepted - ??
 Resource Trustees and
Regulatory Agency Concerns
 Cost effective, greater data
density, improved risk
characterizations, decision making
Presentation Outline
 Introduction to the Site
 Sampling Approach
 XRF Method vs. ICP
Method
 Comparison of XRF to ICP
Data
 Particle Size Implications
 Risk Assessment Statistics
 Production Rates & Costs
Background
 Callahan Mine Site, Brooksville, ME
 Open Pit Mine in Dewatered Estuary
 Operated 1968 to 1972
 Copper, Lead, Zinc – primary metals
 Estuary re-flooded - 1972
 Superfund Site – 2002
 Consent Order – 2005
 Expedited RI/FS - 2005
Brooksville
Callahan
Mine
Site
Location
Aerial View of Open Pit
Existing Conditions
 Callahan Mine
 6 source areas
 Seeps
 Surface Water
Run-off
Sediment
Sampling
 110 Vibracore
Locations
 30 Hand Core
Locations
 200 ft. Spacing
 602 Samples
Collected Overall
 532 samples
analyzed by XRF
 37 split samples by
ICP
Sediment Sampling Cont’d
 Lateral/Vertical extent
delineated in single phase
 15 day event
 Real time data - fill the
gaps
Element Detection Limits - XRF
Antimony - 120
Cobalt - 10
Nickel – 70
Arsenic - 10
Copper - 20
Selenium - 9
Barium - 200
Lead - 16
Silver - 75
Cadmium - 40
Manganese – 80
Thallium - 18
Chromium - 60
Mercury -14
Zinc – 30Units – mg/kg
Project Action Levels vs. Detection
Limits
Element
Sediment Project
Action Levels (mg/kg)
Screening Level Laboratory
ICP
Quantitation
Limit (mg/kg)
Field XRF
Instrument
Reporting
Limit (mg/kg
dry weight)
Human
Health Ecological
Copper 290 19 2.5 20
Lead 40 30 0.5 16
Zinc 1500 98 2.5 30
Field XRF Method – EPA 6200
 Decant standing water (from sample container)
 Remove 10 to 15 gram aliquot
 Dry in oven for 2 to 4 hours (T < 150ºC)
 Remove large non-representative material (shells,
twigs, rocks)
 Sieve dried sample (250 µm stainless steel mesh)
 Calibrate XRF instrument with standard reference
material
 Place sample on instrument and analyze for 60 secs.
Lab ICP Method – EPA 6010
 Decant standing water (from sample container)
 Remove large non-representative material
(shells, twigs, rocks)
 Remove 1 to 2 gram aliquot to digestion
receptacle
 Acid Digestion on hot plate
 Calibrate ICP instrument with standard
reference material
 Place sample on ICP instrument and analyze
Note: No Drying or Sieving in Prep for std lab
method
Data Analysis
 Correlation
 Accuracy
 Precision
 Effects of Particle
Size
 Comparison of Risk
Statistics
 Cost
Data Comparison XRF vs. ICP
Copper
Analysis of Field XRF vs. Laboratory ICP
Copper Results
0
2,000
4,000
6,000
8,000
10,000
0 2,000 4,000 6,000 8,000 10,000
Laboratory ICP Results (mg/kg)
FieldXRFResults(mg/kg)
Linear
Regression
y = 1.62x
+ -147
R2
= 0.92
Data Comparison XRF vs. ICP
Lead
Analysis of Field XRF vs. Laboratory ICP
Lead Results
0
500
1,000
1,500
2,000
2,500
0 500 1,000 1,500 2,000 2,500
Laboratory ICP Results (mg/kg)
FieldXRFResults(mg/kg)
Linear
Regression
y = 1.54x
+ 16
R2
= 0.93
Data Comparison XRF vs. ICP
Zinc
Analysis of Field XRF vs. Laboratory
Zinc Results
0
5,000
10,000
15,000
20,000
0 5,000 10,000 15,000 20,000
Laboratory ICP Results (mg/kg)
FieldXRFResults(mg/kg)
Linear
Regression
y = 1.44x
+ -11
R2
= 0.95
XRF vs. Lab Data
Relative Percent Difference (RPD) Accuracy
Mean RPDs
Copper – 24 %
Lead – 58 %
Zinc – 38 %
XRF Data Exhibited High Bias
100
)(5.0
)(
x
LabAmountXRFAmount
LabAmountXRFAmount
RPD
+
−
=
Summary
Correlation Evaluation
Target
Element
m r2
Correlation
Bias
Ave. RPD (%)
Copper 1.62 0.92 High High (24)
Lead 1.54 0.93 High High (58)
Zinc 1.44 0.95 High High (38)
Sampling Precision
XRF Field Duplicate RPD Statistics
Analyte Copper Lead Zinc
Number of Duplicates 35 35 35
Average (%) 5 11 9
Median (%) 0 10 6
Minimum (%) 0 0 0
Maximum (%) 33 55 29
Analytical Precision
XRF Lab Duplicate RPD Statistics
Analyte Copper Lead Zinc
Number of Duplicates 20 20 20
Average (%) 4 5 4
Median (%) 0 3 3
Minimum (%) 0 0 0
Maximum (%) 20 25 10
Analytical Precision
ICP Lab Duplicate RPD Statistics
Analyte Copper Lead Zinc
Number of Duplicates 6 6 6
Average (%) 8 8 12
Median (%) 8 7 11
Minimum (%) 1 1 1
Maximum (%) 15 23 22
Particle Size Comparison
Copper
Plot of Silt Clay Content vs. Comparison RPDs for Copper
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80 90 100
Percent Composition of Silt and Clay
XRF/ICPRPDsforCopper
Actual Data
Particle Size Effects
 No significant correlations noted
 Limited data set
 Uniform grain sizes
 Larger particles sizes may effect accuracy
 Factor to be considered when designing
approach
Risk Statistics
Metal n Min - Max Min - Max Mean 95% UCL
Copper 34 218 96 - 3370 20 - 5700 1106 460 2735 1147
Lead 34 218 26 - 720 16 - 2600 313 234 390 437
Zinc 34 218 430 - 31000 38 - 26000 4647 1930 6311 3694
Laboratory ICP Data
Field XRF Data
Risk Assessment Implications
Use of XRF Data would provide
 Greater range of detected concentrations
 More accurate estimate of true variability
 Better Assessment of Contaminant Extent
 Better Estimates of Mean and 95% UCL
 More representative estimate of actual risk
Cost Comparison
 Production rate – 100
samples/day estimated with one
chemist
 Sample throughput - up to 79
samples/day (limited by samples
collected)
 XRF Analysis $- $40/sample
(includes 5% confirmatory off-site
analysis )
 Off-site Lab Analysis $ -
$205/sample
0
10
20
30
40
50
60
70
80
90
8/8/20058/10/20058/12/20058/14/20058/16/20058/18/20058/20/20058/22/20058/24/20058/26/20058/28/20058/30/2005
9/1/2005
9/3/2005
9/5/2005
9/7/2005
9/9/20059/11/2005
Date
NumberofAnalyses
Correlation - Good
Precision - Excellent
Accuracy – XRF High Bias for Cu, Pb , Zn
Particle Size Effects
Improved Site and Risk Characterization
Very Cost Effective
Expedited Field Work
Expanding End Uses
Summary

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Dye-sensitized and Perovskite Solar Cells | Peter Holliman, University of Bangor
 

SED#157CalicchioAuRev

  • 1. Characterization of Metals in Marine Sediments using X-Ray Fluorescence 4th International Conference on Remediation of Contaminated Sediments Wolfgang Calicchio, Peter Baker, Tige Cunningham, and Chris Ricardi MACTEC Engineering and Consulting, Inc. Callahan Mine Superfund Site Brooksville, Maine
  • 2. Let’s Expand Use of XRF Tailings Pile Tailings Pile
  • 3. Why discuss XRF?  Widely Used ??  Widely Accepted - ??  Resource Trustees and Regulatory Agency Concerns  Cost effective, greater data density, improved risk characterizations, decision making
  • 4. Presentation Outline  Introduction to the Site  Sampling Approach  XRF Method vs. ICP Method  Comparison of XRF to ICP Data  Particle Size Implications  Risk Assessment Statistics  Production Rates & Costs
  • 5. Background  Callahan Mine Site, Brooksville, ME  Open Pit Mine in Dewatered Estuary  Operated 1968 to 1972  Copper, Lead, Zinc – primary metals  Estuary re-flooded - 1972  Superfund Site – 2002  Consent Order – 2005  Expedited RI/FS - 2005 Brooksville
  • 7. Aerial View of Open Pit
  • 8. Existing Conditions  Callahan Mine  6 source areas  Seeps  Surface Water Run-off
  • 9. Sediment Sampling  110 Vibracore Locations  30 Hand Core Locations  200 ft. Spacing  602 Samples Collected Overall  532 samples analyzed by XRF  37 split samples by ICP
  • 10. Sediment Sampling Cont’d  Lateral/Vertical extent delineated in single phase  15 day event  Real time data - fill the gaps
  • 11. Element Detection Limits - XRF Antimony - 120 Cobalt - 10 Nickel – 70 Arsenic - 10 Copper - 20 Selenium - 9 Barium - 200 Lead - 16 Silver - 75 Cadmium - 40 Manganese – 80 Thallium - 18 Chromium - 60 Mercury -14 Zinc – 30Units – mg/kg
  • 12. Project Action Levels vs. Detection Limits Element Sediment Project Action Levels (mg/kg) Screening Level Laboratory ICP Quantitation Limit (mg/kg) Field XRF Instrument Reporting Limit (mg/kg dry weight) Human Health Ecological Copper 290 19 2.5 20 Lead 40 30 0.5 16 Zinc 1500 98 2.5 30
  • 13. Field XRF Method – EPA 6200  Decant standing water (from sample container)  Remove 10 to 15 gram aliquot  Dry in oven for 2 to 4 hours (T < 150ºC)  Remove large non-representative material (shells, twigs, rocks)  Sieve dried sample (250 µm stainless steel mesh)  Calibrate XRF instrument with standard reference material  Place sample on instrument and analyze for 60 secs.
  • 14. Lab ICP Method – EPA 6010  Decant standing water (from sample container)  Remove large non-representative material (shells, twigs, rocks)  Remove 1 to 2 gram aliquot to digestion receptacle  Acid Digestion on hot plate  Calibrate ICP instrument with standard reference material  Place sample on ICP instrument and analyze Note: No Drying or Sieving in Prep for std lab method
  • 15. Data Analysis  Correlation  Accuracy  Precision  Effects of Particle Size  Comparison of Risk Statistics  Cost
  • 16. Data Comparison XRF vs. ICP Copper Analysis of Field XRF vs. Laboratory ICP Copper Results 0 2,000 4,000 6,000 8,000 10,000 0 2,000 4,000 6,000 8,000 10,000 Laboratory ICP Results (mg/kg) FieldXRFResults(mg/kg) Linear Regression y = 1.62x + -147 R2 = 0.92
  • 17. Data Comparison XRF vs. ICP Lead Analysis of Field XRF vs. Laboratory ICP Lead Results 0 500 1,000 1,500 2,000 2,500 0 500 1,000 1,500 2,000 2,500 Laboratory ICP Results (mg/kg) FieldXRFResults(mg/kg) Linear Regression y = 1.54x + 16 R2 = 0.93
  • 18. Data Comparison XRF vs. ICP Zinc Analysis of Field XRF vs. Laboratory Zinc Results 0 5,000 10,000 15,000 20,000 0 5,000 10,000 15,000 20,000 Laboratory ICP Results (mg/kg) FieldXRFResults(mg/kg) Linear Regression y = 1.44x + -11 R2 = 0.95
  • 19. XRF vs. Lab Data Relative Percent Difference (RPD) Accuracy Mean RPDs Copper – 24 % Lead – 58 % Zinc – 38 % XRF Data Exhibited High Bias 100 )(5.0 )( x LabAmountXRFAmount LabAmountXRFAmount RPD + − =
  • 20. Summary Correlation Evaluation Target Element m r2 Correlation Bias Ave. RPD (%) Copper 1.62 0.92 High High (24) Lead 1.54 0.93 High High (58) Zinc 1.44 0.95 High High (38)
  • 21. Sampling Precision XRF Field Duplicate RPD Statistics Analyte Copper Lead Zinc Number of Duplicates 35 35 35 Average (%) 5 11 9 Median (%) 0 10 6 Minimum (%) 0 0 0 Maximum (%) 33 55 29
  • 22. Analytical Precision XRF Lab Duplicate RPD Statistics Analyte Copper Lead Zinc Number of Duplicates 20 20 20 Average (%) 4 5 4 Median (%) 0 3 3 Minimum (%) 0 0 0 Maximum (%) 20 25 10
  • 23. Analytical Precision ICP Lab Duplicate RPD Statistics Analyte Copper Lead Zinc Number of Duplicates 6 6 6 Average (%) 8 8 12 Median (%) 8 7 11 Minimum (%) 1 1 1 Maximum (%) 15 23 22
  • 24. Particle Size Comparison Copper Plot of Silt Clay Content vs. Comparison RPDs for Copper 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 90 100 Percent Composition of Silt and Clay XRF/ICPRPDsforCopper Actual Data
  • 25. Particle Size Effects  No significant correlations noted  Limited data set  Uniform grain sizes  Larger particles sizes may effect accuracy  Factor to be considered when designing approach
  • 26. Risk Statistics Metal n Min - Max Min - Max Mean 95% UCL Copper 34 218 96 - 3370 20 - 5700 1106 460 2735 1147 Lead 34 218 26 - 720 16 - 2600 313 234 390 437 Zinc 34 218 430 - 31000 38 - 26000 4647 1930 6311 3694 Laboratory ICP Data Field XRF Data
  • 27. Risk Assessment Implications Use of XRF Data would provide  Greater range of detected concentrations  More accurate estimate of true variability  Better Assessment of Contaminant Extent  Better Estimates of Mean and 95% UCL  More representative estimate of actual risk
  • 28. Cost Comparison  Production rate – 100 samples/day estimated with one chemist  Sample throughput - up to 79 samples/day (limited by samples collected)  XRF Analysis $- $40/sample (includes 5% confirmatory off-site analysis )  Off-site Lab Analysis $ - $205/sample 0 10 20 30 40 50 60 70 80 90 8/8/20058/10/20058/12/20058/14/20058/16/20058/18/20058/20/20058/22/20058/24/20058/26/20058/28/20058/30/2005 9/1/2005 9/3/2005 9/5/2005 9/7/2005 9/9/20059/11/2005 Date NumberofAnalyses
  • 29. Correlation - Good Precision - Excellent Accuracy – XRF High Bias for Cu, Pb , Zn Particle Size Effects Improved Site and Risk Characterization Very Cost Effective Expedited Field Work Expanding End Uses Summary

Editor's Notes

  1. Ghost story at the booth, another conference
  2. The Mill was built on top of the Dam shown here in this late 1800s to early 1900 postcard of the Downtown
  3. As one can see the former mill dominates most of the downtown.
  4. Max Striar owned several other properties in Corinna and were defined as subsite. They were either used for storage or disposal. Most of the sites went to no further action following the SI. With this many sites to address and the potential for DNAPL we had to come up with a sound conceptual model.
  5. So how does one get their arms around the problem at a fairly large site. This approach is fairly simple and intuitive.
  6. Although sailing on Mill Pond will most likely not occur in our life times, one thing is certain the townsfolk of Crinnah will have their downtown back.