PNNL

Abstract

With more field analytical devices becoming available, real-time, in-field decisions are more feasible. Guidance is forthcoming on Dynamic Field Activities that combine on-site data generation with on-site decision-making [1]. Drawbacks of traditional characterization campaigns include the delay between data gathering and decision- making and the difficulty of returning to the field for more samples if the desired Data Quality Objectives (DQOs) are not met [2]. Use of in-field analytical methods can significantly streamline the characterization and decision-making process by permitting real-time decisions. Figure 1 contrasts the traditional characterization approach with the dynamic field activities approach. Note that the dynamic approach does not circumvent the need for systematic planning and DQO development.