Data Quality Objectives Summary Report for the Demolitionof the Masonry Block for the 108-F Biological Laboratory
The purpose of this data quality objectives (DQO) process is to support decision-making activities as they pertain to the demolition and disposition (or disposal) of the uncoated 108-F Biological Laboratory masonry block walls. The objective of DQO Step 1 is to use the information gathered from the DQO scoping process and other relevant information to clearly and concisely state the problem to be resolved. The free-form text sections included in this step are intended to define the project objectives and assumptions, present the project issues, summarize the facility background information, and provide a concise statement of the problem. The tables provided in this section are designed to document the personnel involved in the DQO process, identify the contaminants of concern, and summarize the key information needed to support the writing of the problem statement. The purpose of DQO Step 2 is to define the principal study question (PSQ) that needs to be resolved to address the problem identified in DQO Step 1 and to define the alternative actions that would result from the resolution of the PSQ. The PSQ and alternative actions are combined into a decision statement that expresses a choice among alternative actions. The purpose of DQO Step 3 is to identify the type of data needed to resolve the decision statement identified in DQO Step 2, as well as the analytical performance requirements (e.g., practical quantitation limit [PQL] requirement, precision, and accuracy) for the data. If it is determined that the required data do not already exist, the data may either be derived from computational or surveying/sampling and analysis methods. The primary objective of DQO Step 4 is for the DQO Team to identify the geographic (spatial) and temporal boundaries of the facility under investigation, as well as practical constraints (i.e., hindrances or obstacles) that must be taken into consideration in the surveying design. Implementing this step ensures that the surveying design will result in the collection of data that accurately reflect the true condition of the facility. The purpose of DQO Step 5 is to combine information provided in DQO Steps 1 through 4 with a statistical parameter of interest (e.g., mean, median, upper confidence limit, or percentile) and a remediation goal to provide a concise description of what action will be taken based on the results of the collected data. The statistical parameter of interest specifies the characteristic or attribute that the decision maker would like to know about the population, while the remediation goal is a threshold value of the statistical parameter of interest that provides the criterion for choosing between alternative actions. Since analytical data can only estimate the true condition of the facility under investigation, decisions that are made based on measurement data could potentially be in error (i.e., decision error). For this reason, the primary objective of DQO Step 6 is used to define tolerable limits on the probability of making a decision error. The objective of DQO Step 7 is to present alternative data collection designs that meet the minimum data quality requirements specified in DQO Steps 1 through 6. A selection process is then used to identify the most resource-effective data collection design that satisfies all of the data quality requirements.
- Research Organization:
- Bechtel Hanford Inc. (BHI), Richland, WA (United States)
- Sponsoring Organization:
- US DOE Office of Environmental Restoration
- DOE Contract Number:
- AC06-93RL12367
- OSTI ID:
- 6413894
- Report Number(s):
- BHI-01279, REV. 0; ON: DE00008148
- Country of Publication:
- United States
- Language:
- English
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