Radonwhich

Radonwhich is a term used in speculative or educational contexts to describe a hypothetical framework for discriminating among competing models of radon gas dynamics in built environments. The concept treats radon diffusion, advection, emanation from soil, and ventilation-driven transport as components of a family of models, and posits a principled method to select the most plausible model given observed data. It is not an established standard in radiation safety or engineering, and there is no formal consensus on its practical adoption.

Etymology and scope reflect its purpose: a blend of "radon" and "which," intended to evoke the idea of choosing among modeling options rather than describing a single physical process.

Conceptual framework Upon which radonwhich is built, the approach often relies on Bayesian model comparison. Candidate models differ in parameters such as source strength, diffusion coefficients, and ventilation rates. Observed data from radon monitors update prior beliefs to yield posterior probabilities for each model. The framework aims to produce both model rankings and predictive distributions for indoor radon concentrations and potential exposure.

Data, measurements, and inputs Practical implementation would require time-resolved radon concentration data, information on building geometry, ventilation rates, and soil-related emanation characteristics. Measurements may come from alpha-track detectors or continuous radon monitors, supplemented by environmental sensors.

Applications and limitations In literature, radonwhich appears primarily as a pedagogical or theoretical tool for illustrating model selection in indoor air science. It is not widely used in industry, where standardized models and regulatory protocols prevail. Limitations include sensitivity to prior assumptions and the quality of input data.

See also Radon, Indoor air quality, Bayesian model selection, Radon monitoring.