scispace - formally typeset
M

Mandana Mazaheri

Researcher at Queensland University of Technology

Publications -  73
Citations -  2698

Mandana Mazaheri is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Particle number & Ultrafine particle. The author has an hindex of 25, co-authored 70 publications receiving 1869 citations. Previous affiliations of Mandana Mazaheri include University of New South Wales & Office of Environment and Heritage.

Papers
More filters

Investigation of the airborne submicrometer particles emitted by dredging vessels using a plume capture method

TL;DR: In this article, a method for investigating ship emissions, the plume capture and analysis system (PCAS), and its application in measuring airborne pollutant emission factors (EFs) and particle size distributions was presented.
Journal ArticleDOI

Exploratory assessment of indoor and outdoor particle number concentrations in Hanoi households.

TL;DR: In this paper, the first study to monitor both indoor and outdoor PN concentrations in Hanoi was conducted, where the authors evaluated the effect of different sources contributing to PN and PM2.5.
Journal ArticleDOI

Factors influencing the outdoor concentration of carbonaceous aerosols at urban schools in Brisbane, Australia: Implications for children's exposure

TL;DR: Overall, the results showed that vehicle emissions, local weather conditions and secondary organic aerosols (SOA) were the key factors influencing concentrations of carbonaceous component of PM2.5 at these schools.
Journal ArticleDOI

A Bayesian spatiotemporal model of panel design data: Airborne particle number concentration in Brisbane, Australia

TL;DR: In this article, a semi-parametric spatio-temporal modeling of data that is dense in time but sparse in space is presented, obtained from a split panel design, the most feasible approach to covering space and time with limited equipment.

Airborne culturable fungi in naturally ventilated primary school environments in a subtropical climate

TL;DR: In this paper, the authors used Bayesian hierarchical modeling to estimate the indoor culturable fungi and three individual fungal genera in a subtropical school setting, and showed that increasing both temperature and humidity resulted in higher levels of fungi concentration.