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Introduction, Objectives, and Agenda

Systematic Planning for Environmental Decision-Making DOE EM-3 Day 2 DQO Training Colorado Department of Public Health & Environment EPA Conference Center Rocky Mountain Room 999 18th Street Denver, CO 80202 Wednesday, October 30, 2002. Day 2 DQO Training Course Module 0.

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Introduction, Objectives, and Agenda

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  1. Systematic Planning for Environmental Decision-MakingDOE EM-3 Day 2 DQO TrainingColorado Department of PublicHealth & EnvironmentEPA Conference CenterRocky Mountain Room999 18th Street Denver, CO 80202Wednesday, October 30, 2002

  2. Day 2 DQO Training CourseModule 0 Introduction, Objectives, and Agenda Presenter: Sebastian Tindall (15 minutes)

  3. Introduction EM-3 DQO Mission: • Make defensible decisions by managing uncertainty via systematic planning • Institutionalize the standardized Data Quality Objectives (DQO) Process (systematic planning) throughout the Department of Energy (DOE) complex

  4. Day 2 Course Objectives • Learn • “How to” for each activity in each of the 7 steps of the DQO Process • Basic statistical concepts using hands-on examples and computer simulations • How to manage uncertainty in the sampling and analysis design process • New Environmental Protection Agency (EPA) “TRIAD” approach for implementation of sampling

  5. Systematic Planning Dynamic Work Plans Real-Time Measurement Technologies The TRIAD Approach

  6. Important “How To” Concepts • Scoping is the most important activity • Poor scoping promotes distrust between regulators and facility managers • Using an independent facilitator who has technical knowledge promotes agreement between different opinions • Interviews with decision makers promote consensus and resolution of global issues

  7. Important “How To” Concepts (cont.) • Global issues are those that do not require data to resolve but are crucial for success • Global issues are those that include interpretation of regulations • Resolution of global issues ensures technical staff resolve disagreements between decision makers prior to developing sampling designs • Good decisions require defensible sampling and analysis designs

  8. Statistical Concepts • Generate frequency distributions • Transform data from numerical to graphical • Generate histograms • Generate Probability Density Functions • Evaluate error consequences versus target error rates • Evaluate error rates & number of samples versus cost of analysis

  9. How Many Samples do I Need? REMEMBER: HETEROGENEITY IS THE RULE!

  10. Remember • Population is the TOTAL universe of objects within the decision unit • The only way to make decisions without errors is to take a CENSUS • Can’t sample or “measure” the ENTIRE site • Population must therefore be sampled representatively THUS

  11. Uncertainty is additive!Analytical + Sub-sampling +Natural heterogeneity of the site=Total Uncertainty

  12. Errors Are unavoidable!

  13. To Control Sampling Error • Control sub-sampling methods and sample mixing methods • Take larger sample volumes • Reduce particle size • Specify methods that fit the sample size and particle size • Increase sample density by performing more on-site, rapid analyses

  14. Decision errors can be managed

  15. How Many Samples do I Need? Sampling heterogeneity decreases as sampling density increases. REMEMBER:

  16. The following slides show today’s agenda with the content and times of each module

  17. Day 2 DQO Training CourseModule 1 The EPA 7-Step DQO Process Step 1 - State the Problem Presenter: Sebastian Tindall (60 minutes) (15 minute Morning Break)

  18. Day 2 DQO Training CourseModule 2 The EPA 7-Step DQO Process Step 2 - Identify the Decisions Presenter: Sebastian Tindall (15 minutes)

  19. Day 2 DQO Training CourseModule 3 The EPA 7-Step DQO Process Step 3 - Identify Inputs Presenter: Sebastian Tindall (45 minutes)

  20. Day 2 DQO Training CourseModule 4 The EPA 7-Step DQO Process Step 4 - Specify Boundaries Presenter: Sebastian Tindall (30 minutes)

  21. Day 2 DQO Training CourseModule 5 The EPA 7-Step DQO Process Step 5 - Define Decision Rules Presenter: Sebastian Tindall (15 minutes)

  22. Day 2 DQO Training CourseModule 6 The EPA 7-Step DQO Process Step 6 - Specify Error Tolerances Presenter: Sebastian Tindall (40 minutes)

  23. Day 2 DQO Training CourseModule 7 The EPA 7-Step DQO Process Step 7 - Optimize Sample Design Presenter: Sebastian Tindall (70 minutes)

  24. Day 2 DQO Training CourseModule 8 Closing Remarks Presenter: Sebastian Tindall (10 minutes)

  25. Day 2 DQO Training CourseExercises The EPA 7-Step DQO Process Statistical Concepts and Demonstrations Presenter: Chuck Ramsey

  26. Appendix A: • Thomas Grumbly DOE DQO directive, September 1994 • Appendix B: • Timothy Fields EPA OSWER directive, June 1999 • Appendix C: • Expedited Site Characterization Field Quality Assurance Meeting minutes, January 1994 Note: Appendices have been removed from the binders but can be found on our web site: http://www.hanford.gov/dqo/training/contents1.html

  27. Appendix D: Effective Data • Deana Crumbling, U.S. EPA-HQ • ES&T: Managing Uncertainty… • White Paper: Triad Approach… • White Paper: Applying Effective Data... • White Paper: Relationship: SW-846, PBMS... • White Paper: Clarifying DQO Terminology… • Dr. Bart Simmons, CAL/EPA DTSC • Using Field Methods: Court decisions • Dr. Al Robbat, Tufts University • Dynamic Work Plans & Field Analytics • Sebastian Tindall, BHI • ESC M-Cubed Approach • Culture Change Flow Chart

  28. Appendix E: • List of Acronyms and Symbols used in course materials • Appendix F: • U.S. EPA ORDER 5360.1 A2 CHG 2 May 5, 2000 (http)://www.hanford.gov/dqo/training/contents1.html)

  29. Do it! (Get the job done - right) Prove it! (Document what/why/how) Certified We want to help you:

  30. Final Exam Preview • Old answer - A painful elaboration of the obvious • Hint: Answer has 3 items What is the DQO Process in a Nutshell?

  31. End of Module 0 Thank you

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