L
Lidia Morawska
Researcher at Queensland University of Technology
Publications - 777
Citations - 132997
Lidia Morawska 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 100, co-authored 746 publications receiving 95412 citations. Previous affiliations of Lidia Morawska include University of Surrey & Jinan University.
Papers
More filters
Journal ArticleDOI
Estimating the spatiotemporal variation of NO2 concentration using an adaptive neuro-fuzzy inference system
TL;DR: A soft computing algorithm called adaptive neuro-fuzzy inference system (ANFIS) is employed to estimate the NO2 variations for the first time in application to spatiotemporal air pollution modelling and is found to have better performance and higher accuracy than the multiple regression model.
On-road ultrafine particle concentration in the M5 East road tunnel, Sydney, Australia
TL;DR: In this paper, the authors investigated the determinants of UFP concentrations in the 4km twin-bore (eastbound and westbound) M5 East tunnel in Sydney, Australia.
Volatile organic compounds: Characteristics, distribution and sources in urban schools
TL;DR: In this article, the authors investigated the ambient concentrations of Volatile Organic Compounds (VOCs) in 25 primary schools in Brisbane with the aim to quantify the indoor and outdoor VOCs concentrations, identify VOC sources and their contribution, and based on these; propose mitigation measures to reduce VOC exposure in schools.
Journal ArticleDOI
Assessment and application of clustering techniques to atmospheric particle number size distribution for the purpose of source apportionment
Farhad Salimi,Zoran Ristovski,Mandana Mazaheri,Rusdin Laiman,Leigh R. Crilley,Leigh R. Crilley,Congrong He,Samuel Clifford,Lidia Morawska +8 more
TL;DR: Clustering was found to be an effective technique for attributing each particle size spectrum to its source and the GAM was suitable to parameterise the PNSD data.
Journal ArticleDOI
Metrological Performances of a Diffusion Charger Particle Counter for Personal Monitoring
TL;DR: In this paper, the authors evaluated the performance of six diffusion charger sensors, nanoTracer (Philips Aerasense) monitors, when measuring particle number and surface area concentrations, as well as particle number distribution mean when compared to reference instruments.