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
Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio ....Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.Read moreRead less