Indoor air pollutant sources using blind source separation methods
Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Yves Candau · HAL (Le Centre pour la Communication Scientifique Directe) · 2019
The objective of this study is to separate different sources of variability of air pollutant concentrations time series of particulate matter (PM) monitored in real indoor environments. Different blind source separation (BSS) methods (ICA, PMF, NMF) were applied in order to identify the PM sources and their contributions. The source profiles were characterized by their autocorrelation functions (ACF) which were compared to the ACFs of other variables. Their interpretation was completed by the analysis of polar plots including exogenous factors. Source contributions were also quantified.