Managing
Uncertainty for Environmental Decision Making
DQO Training,
Idaho National Environmental Engineering Laboratory
Engineering Research Office Building, Room 151
Bechtel BWXT Idaho, LLC
2525 North Fremont Ave.
Idaho Falls, ID 83415- 3211
Date:
Monday, August 27, 2001
Presented
by:
Sebastian Tindall - ERC DQO Coordinator, Bechtel
Hanford Inc., Richland, WA
8:00
am - 8:15 am Module
1: 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 the 10 modules, the contents of the Appendices, and
the Module evaluation form. |
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|
8:15
am - 8:30 am Introduction
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. |
8:30
am - 9:45 am Module
2: How many samples do I need?
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. |
|
| 9:45
am - 10:00 am Morning
Break |
10:00
am - 11:00 am Module
3: 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. |
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|
11:00
am - 12:00 am Module
4: The EPA 7-Step DQO Process (Steps 1 - 3)
Presenter: Sebastian Tindall
This module presents the EPA 7-Step DQO Process in detail.
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. Steps 1 - 3 are covered in this first
session. |
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| 12:00
pm - 1:00 pm Lunch
Break |
1:00
pm - 2:00 pm Module
5:The EPA 7-Step DQO Process (Steps 4-5)
Presenter: Sebastian Tindall
The presentation of the EPA 7-Step DQO Process, in detail,
is continued. 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. Steps 4 - 5 are covered
in this second session. |
2:00
pm -
3:00 pm Module 6: Visual Sample Plan Demonstration
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. |
3:00
pm -
3:15 pm Afternoon Break
|
3:15
pm -
4:00 pm Module 7: The 7-Step DQO Process (Steps 6-7)
Presenter: Sebastian Tindall
The presentation of the EPA 7-Step DQO Process, in detail,
is continued. 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. Steps 6 - 7 are covered
in this second session. |
4:00
pm -
4:20 pm Module 8: The ERC DQO Web Page & DQO Electronic
Template
Presenter: Sebastian Tindall
This module takes the class on a tour of the ERC DQO Web
Page, displaying and demonstrating the many DQO materials
and tools developed to support the DQO Process, including
the DQO Electronic Template. |
4:20
pm -
4:45pm Module 9: The ERC DQO Implementation Process Flow and
Wall Charts
Presenter: Sebastian Tindall
The work process flow diagram for implementing the ERC
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. |
4:45
pm -
5:00 pm Module 10: Closing Remarks
Presenter: Sebastian Tindall
Key points to remember are summarized in this module.
They all highlight how the DQO process helps you make order
out of the chaos of regulations, standards, and requirements
that surround collecting and analyzing environmental data. |
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