Toward a Scheme for Evaluating the Performance of Continuous Particulate Air Monitor Quantitative Methods

There has long been a need for an objective assessment of the performance of quantitative methods used for continuous particulate air monitors. These methods attempt to estimate the input to the monitor, the airborne radioactivity concentration (or its time integral), from its output, the detector response. This evaluation should include consideration of both the "tracking ability" of each method (i.e., its ability to follow a physically realistic time-varying concentration), as well as its ability to reduce the inherent random variability of its estimates. These two factors are in conflict, in the sense that optimizing one will worsen the other. A prototype scheme for this performance evaluation is presented, which uses a simulation of a fixed-filter monitor response to a known concentration profile and then finds an evaluation score using the residuals between that profile and the method's estimates as generated from the monitor response.

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Publication Details

Journal
Health Physics
Published
2025-03-14
DOI
https://doi.org/10.1097/hp.0000000000001966
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
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article

Toward a Scheme for Evaluating the Performance of Continuous Particulate Air Monitor Quantitative Methods

William C. Evans
Health Physics
Scientific Measurement and Uncertainty Evaluation
article

Toward a Scheme for Evaluating the Performance of Continuous Particulate Air Monitor Quantitative Methods

William C. Evans
article en

Abstract

There has long been a need for an objective assessment of the performance of quantitative methods used for continuous particulate air monitors. These methods attempt to estimate the input to the monitor, the airborne radioactivity concentration (or its time integral), from its output, the detector response. This evaluation should include consideration of both the "tracking ability" of each method (i.e., its ability to follow a physically realistic time-varying concentration), as well as its ability to reduce the inherent random variability of its estimates. These two factors are in conflict, in the sense that optimizing one will worsen the other. A prototype scheme for this performance evaluation is presented, which uses a simulation of a fixed-filter monitor response to a known concentration profile and then finds an evaluation score using the residuals between that profile and the method's estimates as generated from the monitor response.

Health PhysicsVol. 129(5)
Openalex Percentile: Top 95%
Scientific Measurement and Uncertainty Evaluation
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