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![Page 1: 1 of 28 Closing Remarks Presenter: Sebastian Tindall (10 minutes) Day 2 DQO Training Course Module 8.](https://reader036.fdocuments.in/reader036/viewer/2022062309/56649cb55503460f94978f21/html5/thumbnails/1.jpg)
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Closing Remarks
Presenter: Sebastian Tindall
(10 minutes)
Day 2 DQO Training CourseModule 8
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Module 8Closing Remarks & Final Exam
Objectives:
To summarize key points made today To answer the “How many samples” question “Final Exam” Questions/feedback from the audience
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The DQO Process“A systematic planning process based on the scientific method for the unambiguous defining of
Environmental decision criteria
Data requirements
Error tolerances
and the documentation / preservation of these details in a consistent, standardized format providing a defensible record of the decision”
Merrick “Rick” BlancqUS Army Corps of Engineers Portland District
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Systematic Planning Doesn’t Just “Happen”
Haphazard approaches yield haphazard results
Decision makers must provide input early & often
Need an implementation process Successful implementation model evolved as
the DQO Process was used
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Tools Make the Job Easier
Scoping Checklist DQO e-Workbook (electronic template)
– Standardized DQO Report format DQO Web Site
– DQO tools and materials– Latest version of all of today’s slides
Visual Sample Plan (VSP)– Download free software
Data Quality Assessment tools (coming!)
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Managing Uncertainty We are forced to make environmental decisions
based on estimates Estimates always involve errors Errors in estimates are not mistakes If unmanaged, errors in estimates CAN lead to
Decision Errors which ARE MISTAKES Decision Errors must be managed
– Identify– Quantify
Severe consequences of decision errors mandate a statistical basis
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Defensibility
S ampling and A nalys is P lan
Sc oping
Data QualityA ssessment
Dec is ion
Sampling&
A nalys is
Data Quality Objec tives
(DQO)
L aboratory Data Verific ation /
Validation
F ie l d S a mpl ingP l a n(F S P )
Qua l it y A s sura nc e P ro je c t P l a n
(Q A P j P )
H e a lt h a ndSa fe t y P l a n
(H S P )
Comes from doing good science
Requires documentation– “If it isn’t written down, it
didn’t happen” Use a standardized format We must employ the
scientific method to make defensible decisions
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How Many Samples do I Need?
REMEMBER:
HETEROGENEITY
IS THE RULE!
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How many samples do I need?
Begin With the End in Mind
Optimal Sampling Design
Alternative Sample Designs
, , , Correct Equation for n (Statistical Method)
Population Frequency Distribution
Contaminant Concentrations in the Spatial Distribution of the Population
The end
DATA
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Logic to Assess Distribution and Calculate Number of Samples
SkewedCalculate the number of
samples based on skeweddistributions (e.g.,
nonparametric tests suchas WSR or WRS)
Is frequencydistribution fromeach populationsymmetrical orapproximatelysymmetrical?
YesSymmetrical
Use equations based onsymmetrical distribution.
No
Option 1 Option 2
Badly SkewedBadly skewed or for any
distribution, use computersimulations
(e.g.,Monte Carlo) to performcalculations to estimate the
number of samples
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A Visual Decision Strategy
S ta rt G e tD a ta
C h e ckD a ta
Fit D a ta
PD F D oH yp oth es is
Te s t
C le a nD irty
Ne e dM o reD a ta
S to pD a ta
G e tS a m ple
S ize
G e tS am pl i n gLocati on s
V ES A
n
V S P
x , y
V is u a l D Q A V is u a l F it V is u a l Te s t
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Project Planning Documents
Work Plan
Must contain a clear presentation of (and the reasoning behind):
DQO Report FSP Quality Assurance Project Plan HSP
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Project Planning Documents
• General project decision goals
• More detailed, technical project goals/decision rules (DQOs), that will guide project decision-making
• Goals for data quality (MQOs)
• How sampling representativeness will be ensured, and how sampling uncertainty will be controlled
• List of analytical technologies and methods
• QC protocols and criteria to demonstrate that data of known quality will be generated
• Description how data will be assessed and interpreted according to the decision rules
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Analytical +
Sub-sampling +
Natural heterogeneity of the site=
Total Uncertainty
Uncertainty is Additive!Remember the uncertainty is additive for
all steps in sampling and analysis
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Keys to success– Sound technical basis– Complete and thorough documentation
Do it!Do it!(Get the job done - right)
Prove it!Prove it!(Document what/why/how)
SiteClosed
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TRIAD: Systematic PlanningManaging Uncertainty for Environmental Decision Making
Systematic Planning in Environmental Decision Making
http://www.doe.hanford.gov/dqo
Sebastian TindallBechtel Hanford Inc. 3350 George Washington WayRichland, WA 99352(509) [email protected]
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TRIAD: Dynamic Work PlansA Guideline
for
Dynamic Workplans and Field Analytics:
The Keys to Cost-Effective Site Characterization and Cleanup
http://cluin.org/char1_edu.cfm#dyna_work
Albert Robbat, Jr.
Tufts University, Chemistry Department
Center for Field Analytical Studies and Technology
Medford, Massachusetts, 02155
tel: 617-627-3474 and fax: 617-627-3443
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TRIAD: On-Site AnalysisApplying the Concept of Effective Data to Environmental
Analyses for Contaminated Sites
http://cluin.org/
Deana M. Crumbling, M.S.
Technology Innovation Office
U.S Environmental Protection Agency
401 M Street, SW, Mail Code 5102G
Washington, DC 20460
(703) 603-0643
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Sampling for
Environmental ActivitiesChuck Ramsey
EnviroStat, Inc.PO Box 636
Fort Collins, CO 80522970-689-5700
970-229-9977 fax
www.envirostat.org
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On-Site Environmental Sampling & Analyses
J. Edward Tillman,
Columbia Technologies1450 So Rolling Rd
Baltimore, MD 21227
410-536-9911
410-536-0222 (Fax)
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DQO Consultants:Preparation & Facilitation
Mitzi Miller
Environmental Quality Management (EQM)1777 Terminal Drive
Richland, WA 99352
(509) 946-4985; Fax: (509) 946-4595
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DQO Consultants: Environmental Statistics
Jim Davidson
Davidson and Davidson, Inc.8390 Gage Blvd., Suite 205
Kennewick, WA 99336
(509) 374-4498;
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DOE EM-3 Sponsored Web Pages
http:/www.hanford.gov/dqo/
http://dqo.pnl.gov/
http://www.em.doe.gov/safetyhealth/3d/
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Program POCsElizabeth M. Bowers
Department of Energy
Richland Operations Office825 Jadwin Avenue
Richland, WA 99352(509) 373-9276
Dave BottrellDepartment of Energy
EM-319901 Germantown Road
Cloverleaf BuildingRoom 1078
Germantown, MD 20874-1290(301) 903-7251
Sebastian TindallDQO Program Manager
Bechtel Hanford Inc. 3350 George Washington Way
Richland, WA 99352(509) 372-9195
Brent PulsipherVSP Program Manager
Pacific Northwest National Laboratories.
2400 Stevens DriveRichland, WA 99352
(509) 375-3989 [email protected]
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Day 2 Training Credits
• Susan Blackburn, SAIC, Richland, WA• Dave Blumenkranz, SAIC, Richland, WA• Mitzi Miller, EQM, Richland, WA & Knoxville, TN• Kelly Black, Neptune and Associates, Denver, CO• Candy Hawk, Blue Sky Software, Richland, WA• Mike Schwab, Bechtel Hanford, RL, WA• Surajit Amrit, Bechtel Hanford, RL, WA• Al Robinson, EQM, Richland, WA
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FINAL EXAM
• What is the Question?
What is the DQO Process in a Nutshell?
• What is the Population?
• What is the Confidence required?
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How Many Samples do I Need?
REMEMBER:
HETEROGENEITY
IS THE RULE!
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End of Day 2 Course
Please take a few minutes to fill out and turn in all the course evaluation forms.
Thank you for your attention today.
Questions? Feedback?