Quality Assurance Plan for Data Collection: Characterizing and Quantifying Local and Regional Particulate Matter Emissions from Department of Defense Installations

Abstract : A systematic, empirically based research approach that combines environmental monitoring and field experimentation was previously proposed to quantify and characterize emissions from testing and training at the National Training Center, Ft. Irwin. The purpose of the research is to assist the Department of Defense in assessing contributions from training activities in a variety of environmental conditions to local and regional PM levels and off-post regional visibility effects. This document has been assembled to describe the quality assurance plan for data collection for the different components of the proposed research. Quality control (QC) and quality auditing establish the precision, accuracy, and validity of measured values. Quality assurance integrates quality control, quality auditing, measurement method validation, and sample validation into the measurement process. The results of quality assurance are data values with specified precisions, accuracies, and validities. Quality control (QC) is intended to prevent, identify, correct, and define the consequences of difficulties that might affect the precision and accuracy, and or validity of the measurements.

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