Identification of potential biases in the characterization sampling and analysis process
The Tank Waste Remediation System (TWRS) Characterization Project is responsible for providing quality characterization data to TWRS. Documentation of sampling and analysis process errors and biases can be used to improve the process to provide that data. The sampling and analysis process consists of removing a sample from a specified waste tank, getting it to the laboratory and analyzing it to provide the data identified in the Tank Characterization Plan (TCP) and Sampling and Analysis Plan (SAP). To understand the data fully, an understanding of errors or biases that can be generated during the process is necessary. Most measurement systems have the ability statistically to detect errors and biases by using standards and alternate measurement techniques. Only the laboratory analysis part of the tank sampling and analysis process at TWRS has this ability. Therefore, it is necessary to use other methods to identify and prioritize the biases involved in the process.
- Research Organization:
- Westinghouse Hanford Co., Richland, WA (United States)
- Sponsoring Organization:
- USDOE Office of Environmental Restoration and Waste Management, Washington, DC (United States)
- DOE Contract Number:
- AC06-96RL13200
- OSTI ID:
- 437644
- Report Number(s):
- WHC-SD-WM-RPT-187; ON: DE97051455; TRN: 97:009738
- Resource Relation:
- Other Information: PBD: Dec 1995
- Country of Publication:
- United States
- Language:
- English
Similar Records
Tank 241-AX-104 upper vadose zone cone penetrometer demonstration sampling and analysis plan
Tank 241-AY-101 Privatization Push Mode Core Sampling and Analysis Plan