proposed field sampling and sample preparation changes for ... · 3. dates covered 00-00-2012 to...

Post on 20-Jul-2020

4 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

TRANSCRIPT

Proposed Field Sampling and Sample Preparation Changes for Soils Containing

Metallic Residues

ER-0918Jay L. Clausen

US Army Corps of Engineers, ERDC CRREL

November 1, 2011

Report Documentation Page Form ApprovedOMB No. 0704-0188

Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering andmaintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information,including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, ArlingtonVA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if itdoes not display a currently valid OMB control number.

1. REPORT DATE MAR 2012 2. REPORT TYPE

3. DATES COVERED 00-00-2012 to 00-00-2012

4. TITLE AND SUBTITLE Proposed Field Sampling and Sample Preparation Changes for SoilsContaining Metallic Residues

5a. CONTRACT NUMBER

5b. GRANT NUMBER

5c. PROGRAM ELEMENT NUMBER

6. AUTHOR(S) 5d. PROJECT NUMBER

5e. TASK NUMBER

5f. WORK UNIT NUMBER

7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) U.S. Army Corps of Engineers,ERDC -Cold Regions Research andEngineering Laboratory,72 Lyme Road,Hanover,NH,03755-1290

8. PERFORMING ORGANIZATIONREPORT NUMBER

9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S)

11. SPONSOR/MONITOR’S REPORT NUMBER(S)

12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited

13. SUPPLEMENTARY NOTES Presented at the 9th Annual DoD Environmental Monitoring and Data Quality (EDMQ) Workshop Held26-29 March 2012 in La Jolla, CA.

14. ABSTRACT

15. SUBJECT TERMS

16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT Same as

Report (SAR)

18. NUMBEROF PAGES

21

19a. NAME OFRESPONSIBLE PERSON

a. REPORT unclassified

b. ABSTRACT unclassified

c. THIS PAGE unclassified

Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

Project Team

● Jay L. Clausen, PI: ERDC-CRREL

● Anthony Bednar: ERDC-EL

● Thomas Georgian: HNC@EMCX

● Larry Penfold: Test America

● Diane Anderson: APPL Laboratories

2

Study Objectives

● Demonstrate improved data quality for metal constituents in surface soils on military training ranges by coupling multi-increment sampling with modifications to sample preparation and analysis methods such as: Field sampling Sample processing involving grinding Sub-sampling to build the digestate

aliquot Larger digestion mass Laboratory processing protocol

applicable to both metals and energetics

3

Demonstration Sites

4

Kimama, IDSmall Arms Range

21 ISM30 Grab

Fort Wainwright, AKSmall Arms Range

63 ISM52 Grab

Camp Ethan Allen, VTSmall Arms Range

43 ISM36 Grab

Fort Eustis, VASmall Arms Range

27 ISM33 Grab

Performance Assessment

5

● ISM versus Grab samples● Number of increments/decision unit● Field splitting appropriateness● Grinding necessity● Grinder comparisons● Milling Sample Contamination● Puck Mill and Roller Mill optimum grinding interval● Digestion mass evaluation● Digestion time● Digestion reagent mixture● Digestion subsampling preparation● Blank material selection

ISM versus Grab Samples

6

951 868 1061 2868 217 2623 1767 1213 692 44 <1,000938 2307 319 19,038 1060 1952 3537 9235 5328 79,020 1000‐10,000127 352 1204 1977 809 986 2840 4858 2349 1848 >10,000

555 1930 1851479501 1650

Grid Discrete/Grab

Biased Random Discrete/Grab

Lead (mg/kg)

ISM (200‐inc) Grab GrabSystematic Random Grid Biased Random

n 30 30 6Mean 2,717 5,060 1,161Median 2,718 1,238 1,103Min 2,440 44 479Max 2,936 79,020 1,930STD 119 14,438 718RSD 4 285 62

Probability of finding 1 hotspot with six grab samples is 44%. Finding both is 8%

Number of Increments

7Performance criteria RSD < 15% for lab replicates (for concentrations > 100 mg/kg)

ISM Percent Relative Standard Deviation (RSD)

n Al Cr Cu Fe Mn Ni Pb Sb V Zn

5 3 10 22 4 4 3 25 25 6 9

10 8 6 162 4 4 4 32 63 5 154

20 27 121 26 22 18 26 30 50 32 15

30 3 7 15 10 4 3 14 15 6 6

50 3 15 21 10 2 4 11 11 6 10

100 3 7 26 4 2 2 17 17 3 15

200 6 3 18 4 5 2 4 7 1 11n = number of increments per MI sample

Number of Increments

8

mg/kg

100806040200

2000

1500

1000

500

0

Increments

StD

ev

CuPbSbZn

Metal

Scatterplot of StDev vs Increments

Field Splitting Appropriateness

9

4321

3500

3000

2500

2000

1500

1000

Group

Pb (

mg/

kg)

Boxplot of Pb (mg/kg)

Mean = 2,651, n=102Median 2,679, n =102

To Grind or Not To Grind

10

0

500

1000

1500

2000

2500

3000

3500

4000

0 2 4 6 8 10 12 14 16

Concen

tration (m

g/kg)

Replicate

Pb Unground

To Grind or Not To Grind

11

0

500

1000

1500

2000

2500

3000

3500

4000

0 2 4 6 8 10 12 14 16

Concen

tration (m

g/kg)

Replicate

Pb Unground

To Grind or Not To Grind

12

0

500

1000

1500

2000

2500

3000

3500

4000

0 2 4 6 8 10 12 14 16

Concen

tration (m

g/kg)

Replicate

Pb Unground Pb Ground #1 Pb Ground #2

Milling Equipment Comparisons

13

Percent Relative Standard Deviation (RSD)

Machine Type Al Cr Cu Fe Mn Ni Pb Sb V Zn

Unground #1 4 5 257 4 4 7 61 116 4 162

Unground #2 2 5 25 1 1 2 39 69 NA 17

Mortar & Pestle 5 4 39 4 3 3 32 55 4 28

Puck Mill #1 5 4 10 4 4 4 15 21 5 5

Puck Mill #2 1 2 15 4 2 1 4 7 2 10

Puck Mill #3 5 1 16 3 2 2 4 5 2 11

Puck & Ring Mill 6 5 5 4 5 5 5 8 5 6

Ball Mill 1 1 3 1 1 1 1 8 1 2

NA-not analyzed, Bolded values > 15%

Performance Assessment – Sample Processing (Grinding) of Soil

Puck Mill Roller Mill

Fe, Mn, Cr, V

Agate ballsMortar and Pestle

Ceramic

14

Pulvisette

Alumina cans polyethyleneLiner, ceramic balls

?

Puck Mill Optimum Grinding Interval

15

0

10

20

30

40

50

60

70

80

0 30 60 90 120 360

Rel

ativ

e St

anda

rd D

evia

tion

(%)

Time (seconds)

CuPbSbZn

Puck Mill Optimum Grinding Interval

16

3001209060300

4500

4000

3500

3000

2500

2000

1500

1000

Time (sec)

Pb (

mg/

kg)

Boxplot of Pb (mg/kg)

Medians

Full Range

of Values

IQR

Outlier

Roller Mill Optimum Grinding Interval

17

0

50

100

150

200

250

300

0 8 12 16 20

Rel

ativ

e St

anda

rd D

evia

tion

(%)

Time (hours)

CuPbSbZn

Milling Sample Contamination

18

Cr Cu Fe  Mn Ni  Pb Sb V  Zn 

Mill Metal Conc. (mg/kg) 112,000 1,990 500,000 3,700 3,030 7 18.4 1,140 52Mean Study Soil Conc. (mg/kg) 261 546 16,818 226 12 2,651 21 16 76% Generic Contribution to Ground Sample (1 mg/kg) 99 4 14 24 47 <1 14 63 7Contribution to Study Sample (%) 86 0.9 5.9 3.7 59 <1 4.9 20 1.4

Assumes 1 mg of material lost from puck mill and introduced to sample

Digestion Reagent Mixture

19

Relative Standard Deviation (%)Lead Lead Mod Antimony Antimony

ModPuck & Ring 37 5 39 9Ball Mill - 8 hr 13 10 23 20Ball Mill - 12 hr 6 4 7 7Ball Mill - 16 hr 6 1 14 7Ball Mill - 20 hr 1 1 1 2

Issues

● Considerable mass of metal remains in over size fraction (typically discarded)

● Ongoing question of impact of sample preparation method changes to risk determination Does milling change the reported metal soil concentration Is milling appropriate for assessing bioavailability Does milling result in cross-contamination of the sample

● Poor recovery of antimony is evident with conventional analysis; new digestion process proposed

20

Conclusions

21

Activity Yes NoISM, 30+ increments √Discrete/Grab Sampling √Field Splitting √Sieving √Milling necessity √Increased digestion mass √Increased digestion time √Subsampling √

top related