Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, ....Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, unprecedented in scope and resolution. Outcomes include an open access database to quantify and visualise intra-urban air pollution and human exposure and develop air quality maps and smoke pollution management tools. It is expected to advance the evidence-based management of air as a resource, increasing economic prosperity and enhancing human health and quality of life.Read moreRead less
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Legal risk management of adverse health outcomes and injury in the fitness industry: developing evidence-informed regulation that improves safety. This project analyses Australian laws, policies and practices designed to manage legal risks and liabilities in the fitness industry, and assesses their effectiveness in preventing adverse health outcomes, injuries, and the legal liability associated with those risks.
Discovery Early Career Researcher Award - Grant ID: DE180100022
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Characterising wind farm noise to reduce community disturbance. This project aims to address the issue of wind farm noise. The rapid global expansion of wind farm facilities has resulted in widespread community complaints regarding noise emission. This project aims to identify, quantify and characterise the signal components of wind farm noise that are responsible for annoyance and sleep disturbance. The anticipated outcome is establishment of dose-response relationships between wind farm noise ....Characterising wind farm noise to reduce community disturbance. This project aims to address the issue of wind farm noise. The rapid global expansion of wind farm facilities has resulted in widespread community complaints regarding noise emission. This project aims to identify, quantify and characterise the signal components of wind farm noise that are responsible for annoyance and sleep disturbance. The anticipated outcome is establishment of dose-response relationships between wind farm noise and community disturbance. Significant benefits include improved health and quality of life for people living near wind farms and greater public acceptance of wind farms in rural communities.Read moreRead less
Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key f ....Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key features affecting patient presentations are non-linear in character and non-linear modelling may provide more accurate patient predictive models. This project provides prospective analysis of data to develop a non-linear predictive model.Read moreRead less