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Development of risk-based data quality objectives for waste characterization

Conference · · Transactions of the American Nuclear Society; (United States)
OSTI ID:7239770
;  [1]
  1. Pacific Northwest Labs., Richland, WA (United States)

The purpose of this work is to provide a method for developing data quality objectives (DQOs) based on human health risk criteria to support waste characterization and remediation efforts for single-shell tanks (SSTs) at the Hanford site. Data quality objectives provide decision makers with information on the type, quality, and quantity of data needed to characterize waste and make closure decision; they also help focus the work and minimize the resources (worker impact, cost, and schedule). For the SST characterization project, DQOs were developed using a risk-based code that integrates source term, transport, and exposure models. Preliminary DQOs for SST waste characterization and remediation at the Hanford site were developed using a health risk-based code that integrates source term, transport, and exposure models. The large number of analytes under consideration for characterization were prioritized according to their risk contribution, and detection limit goals were developed to identify potentially inadequate analytical methods. These DQOs will help determine the most efficient use of resources to characterize, remediate, and close SSTs.

OSTI ID:
7239770
Report Number(s):
CONF-911107--
Journal Information:
Transactions of the American Nuclear Society; (United States), Journal Name: Transactions of the American Nuclear Society; (United States) Vol. 64; ISSN TANSA; ISSN 0003-018X
Country of Publication:
United States
Language:
English