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Closing Remarks

DQO Training Course Day 3 Module 23. Closing Remarks. Presenter: Sebastian Tindall. 15 minutes. Module 25 Closing 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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Closing Remarks

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  1. DQO Training Course Day 3Module 23 Closing Remarks Presenter: Sebastian Tindall 15 minutes

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

  3. 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 US Army Corps of Engineers Portland District Merrick.P.Blancq@nwp01.usace.army.mil

  4. 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

  5. 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!)

  6. 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

  7. Defensibility • 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

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

  9. Begin With the End in Mind DATA Contaminant Concentrations in the Spatial Distribution of the Population Population Frequency Distribution Correct Equation for n (Statistical Method) , , ,  Alternative Sample Designs Optimal Sampling Design How many samples do I need? The end

  10. Logic to Assess Distribution and Calculate Number of Samples

  11. A Visual Decision Strategy

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

  13. 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. Uncertainty is Additive! Analytical + Sampling & Sub-sampling +Natural heterogeneity of the site=Total Uncertainty Remember the uncertainty is additive for all steps in sampling and analysis

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

  16. SystematicPlanning Dynamic Work Plan Real-TimeMeasurementTechnologies Managing Uncertainty

  17. Systematic Planning Managing Uncertainty with Systematic Planning for Environmental Decision Making http://www.doe.hanford.gov/dqo Sebastian Tindall Bechtel Hanford Inc. 3190 George Washington Way MS H9-03; Room 49 Richland, WA 99352 (509) 372-9195 sctindal@mail.bhi-erc.com

  18. Managing Uncertainty with Systematic Planning for Environmental Decision-Making BHI Training Courses: • DQO Training: 3 days • DQA Training: 1 day • Visual Sample Plan Primer: 3 hours • DQO Applications • PNNL Training Course: • Visual Sample Plan: 2.5 days (20 hours)

  19. Managing Uncertainty with Systematic Planning for Environmental Decision-Making BHI Software Tools: • Visual DQO: TBD • Visual DQA: ver 2.0 • -Visual Decision Suite (VDS) • -Visual Decision Tutor (VDT) • -Visual Population Creator (VPC) • -Hands-On Statistics Toolbox (HOST) • PNNL Software Tools: • Visual Sample Plan: ver 4.0

  20. VSP Contacts Brent Pulsipher,ManagerStatistical & Quantitative SciencesPacific Northwest National LaboratoryRichland, WA 99354(509) 375-3989brent.pulsipher@pnl.gov John Wilson, ProgrammerStatistical & Quantitative SciencesPacific Northwest National LaboratoryGrand Junction, CO 81503 (970) 270-2998 john.wilson@pnl.gov

  21. Sampling for Environmental Activities Chuck RamseyEnviroStat, Inc.PO Box 636Fort Collins, CO 80522970-689-5700970-229-9977 fax chuck@envirostat.org www.envirostat.org

  22. Multi-Increment Sub-Sampling and Analyses Mark Boedigheimer CH2M HILL Applied Sciences Laboratory 2300 NW Walnut Blvd., Corvallis, OR 97330 541-752-4271 541-758-0245 Ext. 3125 Fax: 541-752-0276 mboedigh@ch2m.com

  23. DQO Consultants: Software for Environmental Statistics Jim Davidson Davidson and Davidson, Inc. 8390 Gage Blvd., Suite 205 Kennewick, WA 99336 (509) 374-4498; davidson@owt.com

  24. On-Site Environmental Sampling & Analyses J. Edward “Ned” Tillman Columbia Technologies 1450 So Rolling Rd Baltimore, MD 21227 410-536-9911 410-536-0222 (Fax) ntillman@columbiadata.com http://www.smart.columbiadata.com http://www.columbiadata.com

  25. Dynamic Work Plans A 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

  26. DQO Consultants:Preparation & Facilitation Mitzi Miller Environmental Quality Management (EQM), Inc. 1777 Terminal Drive Richland, WA 99352 (509) 946-4985; Fax: (509) 946-4595 mitzim@eqminc.com

  27. DOE Sponsored Web Pages http:/www.hanford.gov/dqo/ http://dqo.pnl.gov/

  28. Program POCs Sebastian Tindall Bechtel Hanford Inc. 3190 George Washington Way MS H9-03; Room 49 Richland, WA 99354 (509) 372-9195 sctindal@mail.bhi-erc.com Brent PulsipherManager Statistical & Quantitative SciencesPacific Northwest National Laboratories3180 George Washington Way K6-08Richland, WA 99354(509) 375-3989 brent.pulsipher@pnl.gov Dr. Jeffrey W DayDepartment of Energy Office of Science Laboratory Management DivisionEMSLRichland, WA 99354(509) 372-4629Jeffrey_W_Day@rl.govGeorge DetsisDepartment of Energy EM-3119901 Germantown RoadBuilding 270 Germantown, MD 20874-1290(301) 903-1488 george.detsis@hq.doe.gov

  29. Funding POCs Jo Ann Griffith Assistant Director OSWERUSEPA Headquarters Ariel Rios Building; 5202G 1200 Pennsylvania Avenue, N. W. Washington, DC 20460 703-603-8774 griffith.joann@epa.gov Ken SkahnContract Manager OSWER USEPA Headquarters Ariel Rios Building; 5202G 1200 Pennsylvania Avenue, N. W. Washington, DC 20460 703-603-8801 skahn.ken@epa.gov Dr. Jeffrey W DayDepartment of Energy Office of Science Laboratory Management DivisionEMSLRichland, WA 99352(509) 372-4629Jeffrey_W_Day@rl.govGeorge DetsisDepartment of Energy EM-3119901 Germantown RoadBuilding 270 Germantown, MD 20874-1290(301) 903-1488 george.detsis@hq.doe.gov

  30. Credits • Surajit Amrit, Bechtel-Jacobs, Knoxville, TN • Mike Schwab, Bechtel Hanford, RL, WA • Mark Byrnes, Fluor Hanford, RL, WA • Roy Bauer, Fluor Hanford, Richland, WA • Roger Ovink, CH2M Hill, Richland, WA • Mitzi Miller, EQM, Richland, TN • Debbie Carlson, PNNL, Richland, WA • Susan Blackburn, SAIC, Richland, WA • Tracy Friend, SAIC, Richland, WA

  31. 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., Kennewick, WA • Chuck Ramsey, Envirostat, Ft Collins, CO

  32. FINAL EXAM • What is the Question? • What is the Population? • What is the Confidence required? What is the DQO Process in a Nutshell?

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

  34. “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”

  35. Summary • Use Classical Statistical sampling approach: • Very likely to fail to get representative data in most cases • Use Other Statistical sampling approaches: • Bayesian • Geo-statistics • Kriging • Use M-Cubed Approach: Based on Massive FAM • Use Multi-Increment sampling approach: • Can use classical statistics • Cheaper • Faster • Defensible: restricted to surfaces (soils, sediments, etc.)  MASSIVE DATA Required

  36. Class Feedback & Discussion What are your thoughts about the course? • Feedback • Questions • Concerns • Impressions • Suggestions

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

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