Closing Remarks

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Day 2 DQO Training Course Module 10. Closing Remarks. Presenter: Sebastian Tindall. 4:45 PM - 5:00 PM (15 minutes). Module 10 Closing Remarks & Final Exam. Course Objectives:. To summarize key points made today. Closing Remarks “Final Exam” Questions/feedback from the audience. - PowerPoint PPT Presentation

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Closing Remarks

Presenter: Sebastian Tindall

4:45 PM - 5:00 PM (15 minutes)

Day 2 DQO Training CourseModule 10

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Module 10Closing Remarks & Final Exam

Course Objectives:

To summarize key points made today Closing Remarks “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” Blancq, USACE, Portland, OR

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Systematic Planning Doesn’t Just “Happen”

Haphazard approaches yield haphazard results

Tactical approach to implementation Decision makers must work together 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 also!

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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

Comes from doing good science

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 )

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 from eachpopulation normal or

approximatelynormal?

YesNormal

Use equations based onnormal 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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“Normal” FD

“Skewed” FD

Computer Simulations: “Badly skewed” or Any FD

• Evaluate and errors to select n

Using the LBGR to Estimate n

212

1

211

2

5.0

Z

AL

ZZn

212

1

211

2

5.016.1

ZAL

ZZn

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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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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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TRIAD: Systematic PlanningManaging Uncertainty for Environmental Decision Making

Systematic Planning in Environmental Decision Making

http://www.doe.hanford.gov/dqo

Sebastian Tindall

Bechtel Hanford Inc.

3350 George Washington Way

Richland, WA 99352

(509) 372-9195

sctindal@mail.bhi-erc.com

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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

Crumbling.Deana@epamail.epa.gov

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Sampling for

Environmental Activities

Charles “Chuck” Ramsey

EnviroStat, Inc.,P.O. Box 636

Fort Collins, CO 80522-0636

(970) 689-5700; Fax: (970) 229-9977

envirostat@home.com

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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

eqmmitzi@owt.com

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DQO Consultants:Preparation & Facilitation

Al Robinson

Environmental Quality Management (EQM)1777 Terminal Drive

Richland, WA 99352

(509) 946-4985; Fax: (509) 946-4595

eqmmitzi@owt.com

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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;

davidson@owt.com

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DOE EM-5/NAMP Sponsored Web Pages

http:/www.hanford.gov/dqo/

http://dqo.pnl.gov/

http://www.em.doe.gov/safetyhealth/3d/

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DQO Training Points of Contact

DQO Process Expert Sebastian Tindall

Program ManagerBechtel Hanford Inc.

3350 George Washington WayRichland, WA 99352

(509) 372-9195sctindal@mail.bhi-erc.com

Visual Sample PlanJames R. Davidson, Jr.

Davidson and Davidson, Inc.8390 Gage Blvd., Suite 205

Kennewick, WA 99336Tel: (509) 374-4498davidson@owt.com

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Program POCsElizabeth M. Bowers

Department of Energy/Richland Operations Office

825 Jadwin AvenueRichland, WA 99352

(509) 373-9276Elizabeth_M_Liz_Bowers@rl.gov

Dave BottrellDepartment of Energy/EM-5/NAMP

19901 Germantown RoadCloverleaf Building

Room 1078Germantown, MD 20874-1290

(301) 903-7251 david.bottrell@em.doe.gov

Sebastian TindallProgram Manager

Bechtel Hanford Inc. 3350 George Washington Way

Richland, WA 99352(509) 372-9195

sctindal@mail.bhi-erc.com

Brent PulsipherProgram Manager

Pacific Northwest National Laboratories.

2400 Stevens DriveRichland, WA 99352

(509) 375-3989 brent.pulsipher@pnl.gov

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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• Al Robinson, EQM, Richland, WA • 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

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VSP Acknowledgements

John Wilson, PNNL

Dick Gilbert, Nancy Hassig, Tim Schiebe, PNNL

Don Singer, USGS

Brent Pulsipher, PNNL

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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?