1 of 28 Closing Remarks Presenter: Sebastian Tindall (10 minutes) Day 2 DQO Training Course Module 8

2 of 28 Module 8 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 28 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 28 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 28 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 28 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 28 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 28 How Many Samples do I Need? REMEMBER: HETEROGENEITY IS THE RULE!

9 of 28 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 28 Logic to Assess Distribution and Calculate Number of Samples

11 of 28 A Visual Decision Strategy

12 of 28 Project Planning Documents n Work Plan Must contain a clear presentation of (and the reasoning behind): n DQO Report n FSP n Quality Assurance Project Plan n HSP

13 of 28 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 28 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 28 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 28 TRIAD: Systematic Planning Managing Uncertainty for Environmental Decision Making Systematic Planning in Environmental Decision Making Sebastian Tindall Bechtel Hanford Inc George Washington Way Richland, WA (509)

17 of 28 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 28 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 28 Sampling for Environmental Activities Chuck Ramsey EnviroStat, Inc. PO Box 636 Fort Collins, CO fax

20 of 28 On-Site Environmental Sampling & Analyses J. Edward Tillman, Columbia Technologies 1450 So Rolling Rd Baltimore, MD (Fax)

21 of 28 DQO Consultants: Preparation & Facilitation Mitzi Miller Environmental Quality Management (EQM) 1777 Terminal Drive Richland, WA (509) ; Fax: (509)

22 of 28 DQO Consultants: Environmental Statistics Jim Davidson Davidson and Davidson, Inc Gage Blvd., Suite 205 Kennewick, WA (509) ;

23 of 28 DOE EM-3 Sponsored Web Pages

24 of 28 Program POCs Elizabeth M. Bowers Department of Energy Richland Operations Office 825 Jadwin Avenue Richland, WA (509) Dave Bottrell Department of Energy EM Germantown Road Cloverleaf Building Room 1078 Germantown, MD (301) Sebastian Tindall DQO Program Manager Bechtel Hanford Inc George Washington Way Richland, WA (509) Brent Pulsipher VSP Program Manager Pacific Northwest National Laboratories Stevens Drive Richland, WA (509)

25 of 28 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

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

27 of 28 How Many Samples do I Need? REMEMBER: HETEROGENEITY IS THE RULE!

28 of 28 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?