“…To collect a large enough sample size, a Monte Carlo simulation is conducted, relying on repeated random sampling, , to obtain the statistical properties of a phenomenon, which is the source-specific contributions to indoor UFPs in this study. The Monte Carlo method has been applied in previous studies for various applications, such as building energy, optimization of total corneal illuminance, particle penetration, particle deposition on heat exchangers, quanta emission rates of SARS-CoV-2, as well as assessments of indoor air pollutant concentrations and human exposure. − Given that the dynamic mechanism of UFPs differs from PM 2.5 , ozone, nitrogen dioxide, and semivolatile organic compounds, the development of a Monte Carlo Simulation specifically for residential UFP concentrations remains to be established. In this study, the probabilistic distribution of source contributions in Chinese residences was estimated, starting from a source-specific, time-dependent UFP concentration model via Monte Carlo simulation.…”