1 / 37

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.

lyneth
Download Presentation

Closing Remarks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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.

More Related