1 of 33 Closing Remarks Presenter: Sebastian Tindall (15 minutes) DQO Training Course Day 3 Module 24

2 of 33 Module 25 Closing Remarks & Final Exam Objectives: n To summarize key points made today n To answer the “How many samples” question n “Final Exam” n Questions/feedback from the audience

3 of 33 The DQO Process “A systematic planning process based on the scientific method for the unambiguous defining of n Environmental decision criteria n Data requirements n Error tolerances and the documentation / preservation of these details in a consistent, standardized format providing a defensible record of the decision” Merrick “Rick” Blancq US Army Corps of Engineers Portland District

4 of 33 Systematic Planning Doesn’t Just “Happen” n Haphazard approaches yield haphazard results n Decision makers must provide input early & often n Need an implementation process n Successful implementation model evolved as the DQO Process was used

5 of 33 Tools Make the Job Easier n Scoping Checklist n DQO e-Workbook (electronic template) –Standardized DQO Report format n DQO Web Site –DQO tools and materials –Latest version of all of today’s slides n Visual Sample Plan (VSP) –Download free software n Data Quality Assessment tools (coming!)

6 of 33 Managing Uncertainty n We are forced to make environmental decisions based on estimates n Estimates always involve errors n Errors in estimates are not mistakes n If unmanaged, errors in estimates CAN lead to Decision Errors which ARE MISTAKES n Decision Errors must be managed –Identify –Quantify n Severe consequences of decision errors mandate a statistical basis

7 of 33 Defensibility n Comes from doing good science n Requires documentation –“If it isn’t written down, it didn’t happen” n Use a standardized format n We must employ the scientific method to make defensible decisions

8 of 33 How Many Samples do I Need? REMEMBER: HETEROGENEITY IS THE RULE!

9 of 33 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

10 of 33 Logic to Assess Distribution and Calculate Number of Samples

11 of 33 A Visual Decision Strategy

12 of 33 Project Planning Documents n Work Plan n DQO Report n FSP n Quality Assurance Project Plan n HSP Must contain a clear presentation of (and the reasoning behind):

13 of 33 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

14 of 33 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

15 of 33 Keys to success –Sound technical basis –Complete and thorough documentation Do it! (Get the job done - right) Prove it! (Document what/why/how) Site Closed

16 of 33 TRIAD: Systematic Planning Managing Uncertainty and Systematic Planning for Environmental Decision Making Sebastian Tindall Bechtel Hanford Inc George Washington Way MS H9-03; Room 49 Richland, WA (509)

17 of 33 TRIAD: Dynamic Work Plans A Guideline for Dynamic Workplans and Field Analytics: The Keys to Cost-Effective Site Characterization and Cleanup Albert Robbat, Jr. Tufts University, Chemistry Department Center for Field Analytical Studies and Technology Medford, Massachusetts, tel: and fax:

18 of 33 TRIAD: On-Site Analysis Applying the Concept of Effective Data to Environmental Analyses for Contaminated Sites Deana M. Crumbling, M.S. Technology Innovation Office U.S Environmental Protection Agency 401 M Street, SW, Mail Code 5102G Washington, DC (703)

19 of 33 Sampling for Environmental Activities Chuck Ramsey EnviroStat, Inc. PO Box 636 Fort Collins, CO fax

20 of 33 On-Site Environmental Sampling & Analyses J. Edward “Ned” Tillman Columbia Technologies 1450 So Rolling Rd Baltimore, MD (Fax)

21 of 33 DQO Consultants: Preparation & Facilitation Mitzi Miller Environmental Quality Management (EQM), Inc Terminal Drive Richland, WA (509) ; Fax: (509)

22 of 33 DQO Consultants: Software for Environmental Statistics Jim Davidson Davidson and Davidson, Inc Gage Blvd., Suite 205 Kennewick, WA (509) ;

23 of 33 DOE EM-3 Sponsored Web Pages

24 of 33 Program POCs Dr. Jeffrey W Day Department of Energy Office of Science Laboratory Management Division EMSL Richland, WA (509) George Detsis Department of Energy EM Germantown Road Building 270 Germantown, MD (301) Sebastian Tindall Bechtel Hanford Inc George Washington Way MS H9-03; Room 49 Richland, WA (509) Brent Pulsipher VSP Program Manager Pacific Northwest National Laboratories Stevens Drive Richland, WA (509)

25 of 33 Funding POCs Dr. Jeffrey W Day Department of Energy Office of Science Laboratory Management Division EMSL Richland, WA (509) George Detsis Department of Energy EM Germantown Road Building 270 Germantown, MD (301) Jo Ann Griffith Assistant Director OSWER USEPA Headquarters Ariel Rios Building; 5202G 1200 Pennsylvania Avenue, N. W. Washington, DC Ken Skahn Contract Manager OSWER USEPA Headquarters Ariel Rios Building; 5202G 1200 Pennsylvania Avenue, N. W. Washington, DC

26 of 33 Credits Surajit Amrit, Bechtel Hanford, RL, WA Mike Schwab, Bechtel Hanford, RL, WA Mark Byrnes, Bechtel Hanford, RL, WA Roy Bauer, CH2M Hill, Richland, WA Roger Ovink, CH2M Hill, Richland, WA Mitzi Miller, EQM, Knoxville, TN Debbie Carlson, PNNL, Richland, WA Susan Blackburn, SAIC, Richland, WA Tracy Friend, SAIC, Richland, WA

27 of 33 Credits Dave Blumenkranz, SAIC, Richland, WA Gayelyn Gibson, EQM, Richland, WA Kelly Black, Neptune and Associates, Denver, CO Candy Hawk, Blue Sky Software, Richland, WA Al Robinson, EQM, Richland, WA Jeff Day, DOE-RL, Richland, WA Merrick “Rick” Blancq, USACE, Portland, OR Jim Davidson, D&D Inc., Richland, WA Chuck Ramsey, Envirostat, Ft Collins, CO

28 of 33 FINAL EXAM What is the Question? What is the Population? What is the Confidence required? What is the DQO Process in a Nutshell?

29 of 33 How Many Samples do I Need? REMEMBER: HETEROGENEITY IS THE RULE!

30 of 33 “The bitterness of poor quality remains long after the sweetness of low price is forgotten” - Anonymous “If it isn’t written down, it didn’t happen”

31 of 33 Summary Use Classical Statistical sampling approach: n Almost certain to fail Use Other Statistical sampling approaches: n Bayesian n Geo-statistics n Kriging Use Multi-Increment sampling approach: n Can use classical statistics n Cheaper n Faster n More defensible MASSIVE DATA Required 

32 of 33 Class Feedback & Discussion What are your thoughts about the course? –Feedback –Questions –Concerns –Impressions –Suggestions

33 of 33 End of Course Please take a few minutes to fill out and turn in all 3 of the course evaluation forms. Thank you for your attention today. Thank you This concludes our presentation for Day 3