Systematic Planning for Environmental Decision-Making
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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

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


Introduction objectives and agenda

Day 2 DQO Training CourseModule 0

Introduction, Objectives, and Agenda

Presenter: Sebastian Tindall

(15 minutes)


Introduction

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


Day 2 course objectives

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


Introduction objectives and agenda

Systematic Planning

Dynamic Work Plans

Real-Time Measurement Technologies

The TRIAD Approach


Important how to concepts

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


Important how to concepts cont

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


Statistical concepts

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


How many samples do i need

How Many Samples do I Need?

REMEMBER:

HETEROGENEITY

IS THE RULE!


Remember

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


Uncertainty is additive analytical sub sampling natural heterogeneity of the site total uncertainty

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


Errors

Errors

Are unavoidable!


To control sampling error

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


Introduction objectives and agenda

Decision

errors

can be

managed


Sampling heterogeneity decreases as sampling density increases

How Many Samples do I Need?

Sampling heterogeneity decreases as sampling density increases.

REMEMBER:


Introduction objectives and agenda

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


Introduction objectives and agenda

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)


Introduction objectives and agenda

Day 2 DQO Training CourseModule 2

The EPA 7-Step DQO Process

Step 2 - Identify the Decisions

Presenter: Sebastian Tindall

(15 minutes)


Introduction objectives and agenda

Day 2 DQO Training CourseModule 3

The EPA 7-Step DQO Process

Step 3 - Identify Inputs

Presenter:

Sebastian Tindall

(45 minutes)


Introduction objectives and agenda

Day 2 DQO Training CourseModule 4

The EPA 7-Step DQO Process

Step 4 - Specify Boundaries

Presenter:

Sebastian Tindall

(30 minutes)


Introduction objectives and agenda

Day 2 DQO Training CourseModule 5

The EPA 7-Step DQO Process

Step 5 - Define Decision Rules

Presenter: Sebastian Tindall

(15 minutes)


Introduction objectives and agenda

Day 2 DQO Training CourseModule 6

The EPA 7-Step DQO Process

Step 6 - Specify Error Tolerances

Presenter: Sebastian Tindall

(40 minutes)


Introduction objectives and agenda

Day 2 DQO Training CourseModule 7

The EPA 7-Step DQO Process

Step 7 - Optimize Sample Design

Presenter:

Sebastian Tindall

(70 minutes)


Closing remarks

Day 2 DQO Training CourseModule 8

Closing Remarks

Presenter: Sebastian Tindall

(10 minutes)


Introduction objectives and agenda

Day 2 DQO Training CourseExercises

The EPA 7-Step DQO Process

Statistical Concepts and Demonstrations

Presenter: Chuck Ramsey


Introduction objectives and agenda

  • 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


Introduction objectives and agenda

  • 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


Introduction objectives and agenda

  • 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)


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Final exam preview

Final Exam Preview

  • Old answer - A painful elaboration of the obvious

  • Hint: Answer has 3 items

What is the DQO Process in a Nutshell?


End of module 0

End of Module 0

Thank you


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