Catchment water balance and CO2 fluxes: a comparison between productive land uses. The aim of the project is to improve the understanding of different land use implications on water resource and land productivity. The project aims to use a paired-catchment study that compares the carbon and water balances in two catchments in the high rainfall zone in south western Victoria. One catchment is used prevalently for grazing, while the other is predominantly planted with blue gums. The main objective ....Catchment water balance and CO2 fluxes: a comparison between productive land uses. The aim of the project is to improve the understanding of different land use implications on water resource and land productivity. The project aims to use a paired-catchment study that compares the carbon and water balances in two catchments in the high rainfall zone in south western Victoria. One catchment is used prevalently for grazing, while the other is predominantly planted with blue gums. The main objectives of this project are: to quantify the effect of different agricultural land uses on the catchment water balance; to estimate the trade-off between carbon sequestration and water resources related to tree plantations and pastures; and to develop models at different spatial scales of catchment water balance for land-use management.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less