However, heat-related risks occur mostly in indoor spaces, and correlations between indoor and outdoor spaces are rarely considered.
In this paper, we consider the feasibility of radio localization in a rich-scattering indoor environment using correlation-based techniques, where nodes only use unknown ambient signals for localization and do not probe actively.
Personal and indoor PM2.5 measurements correlated well, with Spearman correlation analysis indicating a moderately high coefficient between personal and indoor PM2.5 (r = 0.70, P < 0.0001).
No correlation between indoor and outdoor levels was observed, suggesting dominant indoor sources.
Further, the poor correlation between indoor and outdoor levels of pollutants indicated that the indoor exposure of these outdoor pollutants was largely determined by room-specific characteristics, such as ventilation.
Within outdoor concentrations of air pollutants, there were no significant correlations; within indoor concentrations, SO2, NO2, and O3 were positively correlated, whereas there was a negative correlation between NO2 and formaldehyde (tau-β 0.36; p < 0.05).
The ability of these studies to detect cardiovascular effects of PM using outdoor ambient levels may be related to a moderately strong correlation between indoor levels and outdoor ambient levels and the hypothesis that the fraction of indoor PM2.5 arising from outdoor sources is the most toxic in terms of cardiovascular effects.
Survey results show a strong correlation between indoor comfort conditions and outdoor temperature.
The finer the particle size, the better becomes the correlation between indoor, outdoor and personal levels.
To report on the correlation between indoor mold exposure and a case of multifocal choroiditis (MFC).
These simple graphs already enhance: – a more or less evident correlation between indoor and outdoor (macroclimate) data.
