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NAMP DQO Training
Agenda


[Day 1 Locations & Dates]      [Day 1 Course Contents]

Managing Uncertainty for Environmental Decision Making

DOE NAMP DQO Training
Washington Department of Ecology
Kennewick, WA

May 4, 2000

Presented by:

Mitzi Miller - ERC DQO Trainer, Environmental Quality Management, Richland, WA
James R. Davidson – Statistics Group, Pacific Northwest National Laboratory

8:10 AM - 8:20 am     Module 0: Introduction and Opening Remarks
Presenter: Merrick "Rick" Blancq, DOE/RL DQO Coordinator
This module briefly discusses the DOE NAMP mission to institutionalize the DQO Process throughout the DOE complex and provides an overview and the objectives of the workshop. The basic theme of workshop is:
      Do it! (Get the job done.)
      Prove it! (Document what/why/how.)
8:20 AM - 8:30 am      Module 1: Agenda and Objectives
Presenter: Mitzi Miller
This module presents the day's agenda and the objectives of each of the 10 modules.
8:30 AM - 9:00 AM     Module 2:  How many samples do I need?
Presenter: Jim Davidson
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.
9:00 AM - 9:15 AM      Module 3: Evolution of the Data Quality Objectives Concept/Process
Presenter: Mitzi Miller
The concept of "Data Quality Objectives" has changed over time. This module illustrates the historical development of the Data Quality Objectives concept from the PARCC parameters to a scientific process. The PARCC parameters don't really help you "do it and prove it," but a well-structured and time-honored scientific decision-making process will.
9:15 AM - 9:45 AM     Module 4: EPA Inspector General Audit Reports
Presenter: Mitzi Miller
This module summarizes the findings of three different EPA Inspector General Audit Reports, all of which highlight the need for the Data Quality Objectives. The Inspector General identified problems and deficiencies that occurred when the Data Quality Objectives process was not followed and noted that Hanford has made some real progress towards a solution.
9:45 AM - 10:00 AM     Break
10:00 AM - 10:15 AM      Module 5: The Systematic Planning Process
Presenter: Jim Davidson

A high level view of the entire remediation process is presented, and parallels between the scientific method and the remediation process are discussed. A key point is that a process based on the scientific method results in defensible documentation - evidence you need to "prove it".
10:15 AM - 11:30 AM     Module 6a: The 7-Step DQO Process (Steps 1-5)
Presenter: Mitzi Miller
This module presents the 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.
11:30 AM - 12:45 PM     Lunch Break

12:45 PM – 1:30 PM      Module 6b: The 7-Step DQO Process (Steps 6- 7)
Presenter: Jim Davidson
This module continues the presentation of the 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.

1:30 PM - 2:00 PM       Module 7: The DQO Electronic Template and ERC DQO WEb Page
Presenter: Mitzi Miller

This module briefly discusses how the DQO Electronic Template is structured and illustrates how it brings all the needed information to the user's desktop. Also, the ERC DQO Web Page is shown.
2:00 PM - 2:45 PM      Module 8: ERC DQO Implementation Process Flow Chart
Presenter: Mitzi Miller
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 meeting to a minimum.
2:45 PM - 3:00 PM       Short Break
3:00 PM - 4:30 PM       Module 9: Visual Sample Plan Demonstration
Presenter: James R. Davidson
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.
4:30 PM - 4:45 PM      Module 10: First Day Wrap-Up

10a) Key Elements of the 7-Step DQO Process.
Presenter: Mitzi Miller
A quick review of the key elements of the DQO 7-Step Process is presented. The key elements highlighted represent the fundamental components that must be present in every DQO.

10b) Managing Uncertainty: Key Points to Remember and Closing Remarks
Presenter: Merrick "Rick" Blancq, DOE/RL DQO Coordinator
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.

 

Day 1 Locations & Dates      Day 1 Course Content




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