ARMAX Forecast Model for Estimating the Annual radon Activity Concentration in Confined Environment by Short Measurements Performed by Active Detectors

Andrea Pepperosa, Romolo Remetti and Francesca Perondi
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Andrea Pepperosa: CAEN SpA/Spectroscopy Division, Nuclear Waste Management (NWM), Decommissioning and Dismalting (D&D), Via della Vetraia 11, 55049 Viareggio Lucca, Italy
Romolo Remetti: Department Basic and Applied Sciences for Engineering, Energetic and Nuclear Engineering, Sapienza University of Rome, Via Antonio Scarpa 14, 00161 Rome, Italy
Francesca Perondi: Department Basic and Applied Sciences for Engineering, Energetic and Nuclear Engineering, Sapienza University of Rome, Via Antonio Scarpa 14, 00161 Rome, Italy

IJERPH, 2022, vol. 19, issue 9, 1-12

Abstract: This work aims to implement a forecast model that, combined with the use of active instrumentation for a rather limited time, and with the knowledge of a set of data referring to the environmental parameters of the place to be monitored, can estimate the concentration of indoor radon activity for longer time periods. This model has been built through the MATLAB program, exploiting the theories of time series and, in particular, ARMAX models, to reproduce the variation in the concentration of radon activity. The model validation has been carried out by comparing real vs. simulated values. In addition, analytic treatment of input data, such as temperature, pressure, and relative humidity, can reduce the influence of sudden transients allowing for better stability of the model. The final goal is to estimate the annual radon activity concentration on the basis of spot measurements carried out by active instrumentation, such to avoid the need to measure for an entire calendar year by the use of passive detectors. The first experimental results obtained in conjunction with active radon measurement demonstrates the applicability of the method not only for forecasting future average concentrations, but also for optimizing remedial actions.

Keywords: indoor radon activity concentration; radon detection; forecast models; continuous radon monitor; MATLAB; ARMAX series; historical series (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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