Fine and ultrafine ambient particulate matter (PM) has major health and climate impacts. Chemical composition of PM is required for better estimation of these impacts but is considerably expensive to measure as compared to the total PM mass concentrations. We explore the indirect estimation of PM chemical composition by analysing the temporal variation of, relatively inexpensively measured, total PM.