Monday,
February 2, 2004
Agenda
Day 1
Managing
Uncertainty and Systematic Planning for Environmental Decision
Making
3-Day
DQO Training
DOE
Hanford
PNNL
EMSL Auditorium
Q Street
Richland, WA 99352
Presented
by:
Sebastian
Tindall - DQO Coordinator, BHI, Richland, WA
8:00 AM
- 8:40 AM Introductions of Class Members
The members of the class will be asked to introduce themselves,
who they represent, and why they are attending and/or what they
hope to get out of the training.
8:40 AM
- 9:00 AM Module 0: Introduction to Course and Module Objectives,
Agenda, and Key Concepts
Presenter: Sebastian Tindall
This module briefly discusses the mission to institutionalize
the DQO Process throughout the DOE complex and provides an overview
and presents the day's agenda, the objectives of each of the day's
9 modules, the contents of the Appendices, and the course evaluation
form.
9:00 AM
- 9:20AM Module 1: Evolution of the DQO Concept
Presenter: Sebastian Tindall
This module illustrates how the DQO Process has matured over time
from a qualitative concept to a practical implementation.
9:20 AM
- 9:30 AM Morning Break
9:30AM
- 9:45 AM Module 2: EPA Inspector General Audit Reports
Presenter: Sebastian Tindall
This module will highlight findings from EPA Inspector General
Audit Reports. We will also show that EPA itself has not been
implementing the DQO Process properly and present EPA's new commitment
to a systematic planning process for environmental decision-making.
9:45 AM - 10:45 AM Module 3: How Many Samples Do I Need - Part
1
Presenter: Sebastian Tindall
Sampling and analysis methods are used to estimate the true condition
of site. However, estimation introduces uncertainty into the decision-making
process. This uncertainty can be managed through planning so that
you can "do it and prove it" efficiently and effectively.
Concepts in Module 3 include census versus estimates and the DPGD.
10:45 AM
- 11:45 AM Module 4: Key Concepts Underlying DQOs and VSP
Presenter: Sebastian Tindall
Using innovative, interactive demonstrations, the class will become
familiar with the important and often critical environmental sampling
statistical concepts in order to develop defensible sampling designs.
11:45 AM
- 1:00 PM LUNCH BREAK
1:00 PM
- 1:35 PM Module 5: How Many Samples Do I Need - Part 2
Presenter: Sebastian Tindall
Concepts in Module 5 include the UCL, sample representativeness,
the TRIAD approach, and need for knowing the distributions of
contaminants in formulating sampling designs.
1:35 PM
- 1:40 PM First Afternoon "Stretch" Break
1:40 PM
- 2:15PM Module 6: How Many Samples Do I Need - Part 3
Presenter: Sebastian Tindall
Ramsey's Rules, the concept of Fundamental Error, and an introduction
to Multi-Increment sampling are presented in this module.
2:15 PM
- 2:30 PM Second Afternoon Break
2:30 PM
- 3:10 PM Module 7: Introduction to the EPA 7-Step DQO Process
(Steps 1-4)
Presenter: Sebastian Tindall
This module introduces the first four steps in the EPA 7-Step
DQO Process. Each step is discussed in terms of the information
that is needed to begin the step, the actions that need to be
performed, and the information that is needed to conclude a given
step and begin the next step.
3:10 PM
- 3:50 PM Module 8: Introduction to the EPA 7-Step DQO Process
(Steps 5-7)
Presenter: Sebastian Tindall
This module introduces the last three steps in the EPA 7-Step
DQO Process. Each step is discussed in terms of the information
that is needed to begin the step, the actions that need to be
performed, and the information that is needed to conclude a given
step and begin the next step.
3:50 PM
- 4:30 PM Module 9: DQO Implementation Process Flow and Wall Charts
Presenter: Sebastian Tindall
The work process flow diagram for implementing the DQO process
is discussed. Pivotal elements of this process are getting the
key decision-makers involved both early and often, and keeping
meetings to a minimum.
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Tuesday,
February 3, 2004
Agenda
Day 2
Managing
Uncertainty and Systematic Planning for Environmental Decision
Making
3-Day
DOE EH-3 DQO Training
DOE
Hanford
PNNL
EMSL Auditorium
Q Street
Richland, WA 99352
Presented
by:
Sebastian
Tindall - DQO Coordinator, BHI, Richland, WA
8:00
AM - 8:15 AM Module 10: Introduction & Agenda and Objectives
Presenter: Sebastian Tindall
This module briefly discusses the mission to institutionalize
the DQO Process throughout the DOE complex and provides an overview
and presents the day's agenda, the objectives of each of today's
5 modules and 4 exercises.
8:15 AM
- 9:45 AM Module 11: The EPA 7-Step DQO Process (Step 1 - State
the Problem)
Presenter: Sebastian Tindall
This module presents the EPA 7-Step DQO Process in detail, with
both general and specific examples. Each step is discussed in
terms of the information that is needed to begin the step, the
actions that need to be performed, and the information that is
needed to conclude a given step and begin the next step. Step
1 is covered in this Module. A case study is carried through the
7-Step DQO Process in today's class.
9:45 AM
- 10:00 AM Morning Break
10:00 AM
- 10:30 AM Exercise 0 - Introduction to Statistical Concepts:
Demonstrations and Simulations
Presenter: Sebastian Tindall
Fundamental concepts necessary for the understanding of managing
uncertainty and development of statistical sampling designs are
presented to the students in the form of "hands-on"
demonstrations, slides, and computer simulations.
10:30 AM
- 11:00 AM Module 12: The EPA 7-Step Process (Step 2 - Identify
the Decisions)
Presenter: Sebastian Tindall
This module presents the EPA 7-Step DQO Process in detail. Step
2 is covered in this Module.
11:00 AM - 11:45 AM Exercise 1 - Populations, Histograms, Range,
& Simulations
Presenter: Sebastian Tindall
This exercise introduces a bag of 450 colored beads to represent
a target contaminant population. Students will take a sample of
five beads and construct a histogram and find the sample range.
Data will also be combined to observe what happens when the sample
is 50 beads. Computer simulations provide the results of repeated
sampling.
11:45 AM
- 1:00 PM Lunch Break
1:00 PM
- 1:45 PM Module 13: The EPA 7-Step DQO Process (Step 3 - Identify
Inputs)
Presenter: Sebastian Tindall
This module presents the EPA 7-Step DQO Process in detail. Step
3 is covered in this Module.
1:45 PM
- 2:15 PM Exercise 2 - Hypothesis Testing for Alpha Error Using
X-Bar
Presenter: Sebastian Tindall
Students conduct hypothesis tests on samples of beads using the
sample average as the test statistic. Students will gain understanding
of alpha error rate. This exercise provides a hands-on example
of a typical alpha error rate. Computer simulations will illustrate
this exercise.
2:15 PM
- 2:30 PM Afternoon Break
2:30 PM
- 3:30 PM Module 14: The EPA 7-Step DQO Process (Step 4)
Presenter: Sebastian Tindall
This module presents the EPA 7-Step DQO Process in detail. Step
4 is covered in this Module.
3:30 PM
- 4:00 PM Exercise 3 - Hypothesis Testing for Alpha Error Using
the 95% UCL
Presenter: Sebastian Tindall
Students conduct hypothesis tests on samples of beads using the
95% UCL as the test statistic. Computer simulations illustrate
this exercise.
4:00 PM
- 4:30 PM Module 15: The EPA 7-Step DQO Process (Step 5)
Presenter: Sebastian Tindall
This module presents the EPA 7-Step DQO Process in detail. Step
5 is covered in this Module.
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Wednesday,
February 4, 2004
Agenda
Day 3
Managing
Uncertainty and Systematic Planning for Environmental Decision
Making
3-Day
DQO Training
DOE
Hanford
PNNL
EMSL Auditorium
Q Street
Richland, WA 99352
Presented
by:
Sebastian
Tindall - DQO Coordinator, BHI, Richland, WA
8:00 AM
- 8:15 AM Module 16: Introduction & Agenda and Objectives
Presenter: Sebastian Tindall
This module briefly discusses the mission to institutionalize
the DQO Process throughout the DOE complex and provides an overview
and presents the day's agenda and the objectives of each of today's
9 modules and 2 exercises.
8:15 AM
- 8:45 AM Exercise 4 - Hypothesis Testing: Beta Error
Presenter: Sebastian Tindall
Students conduct hypothesis tests on samples of beads using the
95% UCL as the test statistic. Here the true mean of the population
equals the Lower Bound of the Gray Region and thus this exercise
provides a hands-on example of a beta error rate. Computer simulations
illustrate this exercise.
8:45 AM
- 9:45 AM Module 17: The EPA 7-Step DQO Process (Step 6)
Presenter: Sebastian Tindall
The presentation of the EPA 7-Step DQO Process, in detail, is
continued. Step 6 is covered in this session.
9:45 AM
- 10:00 AM Morning Break
10:00 AM
- 10:30 AM Exercise 5 - Hypothesis Testing for Clean & Dirty
Sites
Presenter: Sebastian Tindall
Students conduct hypothesis test on samples of beads using the
95% UCL as the test statistic. Here populations from a clean and
a dirty site will be tested. Computer simulations illustrate this
exercise.
10:30 AM
- 12:00 PM Module 18: The EPA 7-Step DQO Process (Step 7)
Presenter: Sebastian Tindall
The presentation of the EPA 7-Step DQO Process, in detail, is
continued. Step 7 is covered in this session.
12:00 PM
- 1:15 PM LUNCH BREAK
1:15 PM
- 1:45 PM Module 19: Discussion: EPA 7-Step DQO Process
Presenters: Sebastian Tindall
Students will be given the opportunity to discuss their impressions,
questions, and concerns regarding the EPA 7-Step Process and the
Case Study presented in Steps 1-7.
1:45 PM
- 2:15 PM Module 20: DOE Hanford DQO Web Page and DQO e-Workbook
Presenter: Sebastian Tindall
This module takes the class on a tour of the DOE Hanford DQO Web
Page, displaying and demonstrating the many DQO materials and
tools developed to support the DQO Process. In addition we will
demonstrate the DQO Electronic Template (DQO e-Workbook), based
on EPA QA/G4, as a method to document your DQO Process.
2:15 PM
- 2:30 PM Afternoon Break
2:30 PM
- 3:30 PM Module 21: Introduction to Visual Sample Plan &
Applications
Presenter: Sebastian Tindall
The development of a sample plan involves evaluating trade-offs
between decision error, sampling costs, and remediation costs.
Visual Sample Plan software provides a quick and easy way to visualize
the impacts of various sample designs.
3:30 PM
- 3:45 PM Module 22: Field Analytical Methods (FAM)
Presenter: Sebastian Tindall
Success in managing uncertainty may depend on using a robust field
analytical approach. Surface and sub-surface imaging using Direct
Push Technology, Sensor Technology, and On-Site Analytical methods
can greatly assist in making defensible decisions. FATE, hosted
by the EPA TIO, is an online encyclopedia intended to provide
information about technologies that can be used in the field.
FRTR FSAT Matrix works to build a collaborative atmosphere among
federal agencies involved in hazardous waste site cleanup.
3:45 PM
- 4:15 PM Module 23: Visual Decision Suite & Visual Decision
Tutor
Presenter: Sebastian Tindall
Visual Decision Suite software is being developed to provide managers
with automated decision-making tools to accelerate site cleanup
and closures. The latest beta version of Visual Decision Tutor
will be also demonstrated.
4:15 PM
- 4:30 PM Module 24: Closing Remarks
Presenter: Sebastian Tindall
Key points to remember are summarized in this module. They all
highlight how the DQO process helps you create order out of the
chaos of regulations and requirements that surround collecting
and analyzing environmental data and lead you to defensible decision-making.
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