Identification of potential biases in the characterization sampling and analysis process

摘要

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.