Statistical evaluation of newly acquired environmental chemical analysis data as a validation tool for the Uranium Mill Tailings Action (UMTRA) Project

摘要

A statistical comparison of new data with existing data is being used as an effective tool to augment standard data validation practices on the Department of Energy Uranium Mill Tailings Remedial Action (UMTRA) Project. The automated system allows rapid and reliable detection of anomalies in newly acquired chemical analysis data. Three separate statistical methods have been combined to meet the demanding requirements of environmental chemical data, including age-weighted trend analysis, downweighting of historical anomalies, and iterative recalculation of substitute values for below-detection data.