Special Research Initiatives - Grant ID: SR0354575
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Earth and Ocean Informatics and Technology Network (EON-ITnet). Sustainable resource exploration and mining onshore, as well as marine planning, exploration, and defence depend on effective cross-disciplinary investigation, sharing of expertise and technologies for integration and computational analysis of multidimensional data spaces. EON-ITNET will cross-fertilise the use of artificial intelligence, advanced computing and smart information sharing for management, analysis, visualisation and me ....Earth and Ocean Informatics and Technology Network (EON-ITnet). Sustainable resource exploration and mining onshore, as well as marine planning, exploration, and defence depend on effective cross-disciplinary investigation, sharing of expertise and technologies for integration and computational analysis of multidimensional data spaces. EON-ITNET will cross-fertilise the use of artificial intelligence, advanced computing and smart information sharing for management, analysis, visualisation and metadata modelling between these traditionally separate research groups, with the outcome of improving research efficiency and lowering costs. EON-ITNET will form an alliance with the Caltech-based GeoFramework, which is advancing a novel object-oriented data analysis environment, binding community software for Earth visualisation and simulation to 4D data bases.Read moreRead less
A Roadmap for Greening Existing Australian Housing. The project will minimise the impact of the Greenhouse Pollution Reduction Scheme and anticipated rises in water costs on the householders. It will assist the consumers and the building industry in evaluating the environmental and economic costs and benefits of specific retrofitting actions for building envelope and major fixed appliances (thermal insulation, glazing, air infiltration, hot water, heating/cooling, lighting, low water flow and wa ....A Roadmap for Greening Existing Australian Housing. The project will minimise the impact of the Greenhouse Pollution Reduction Scheme and anticipated rises in water costs on the householders. It will assist the consumers and the building industry in evaluating the environmental and economic costs and benefits of specific retrofitting actions for building envelope and major fixed appliances (thermal insulation, glazing, air infiltration, hot water, heating/cooling, lighting, low water flow and water reuse appliances, and solar photovoltaic systems). In addition to assisting a burgeoning renovation industry, the project will enable accurate assessment of the impacts of the Green Loans Program and guide future national and local energy and water reduction policies. Read moreRead less
Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact netw ....Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact networks to develop robust predictions of disease spread and population fate, and to reliably predict the outcomes of management interventions. These robust prediction methods will provide better insights for conservation of Australian wildlife.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less
Social acceptability of forest management options: Landscape level visualisation and evaluation. Sustainable forest policy requires social acceptance. Prior research has investigated relative acceptability of options at a forest stand level. However, we have insufficient understanding of public acceptance of forest management systems implemented across the wider landscape. Only detailed knowledge of public reaction to social, environmental and economic impacts and the trade-offs involved can red ....Social acceptability of forest management options: Landscape level visualisation and evaluation. Sustainable forest policy requires social acceptance. Prior research has investigated relative acceptability of options at a forest stand level. However, we have insufficient understanding of public acceptance of forest management systems implemented across the wider landscape. Only detailed knowledge of public reaction to social, environmental and economic impacts and the trade-offs involved can reduce the divisive nature of the forest management debate. This project will use interactive, still and animated computer representations of landscapes to examine social acceptability of alternatives to clearfell harvesting. This knowledge will be integrated with biophysical data to improve management of forested landscapes.Read moreRead less
Acceptability of Forest Harvesting Systems. Fierce public debate over forest management has prompted forest agencies to develop and test alternative harvesting systems. This project will examine community response to these harvesting and regeneration options. It will avoid the biases of existing research by developing an interactive simulation of the forest environment that will allow participants to view visual, ecological and economic outcomes of harvest options, as well as changes over time ....Acceptability of Forest Harvesting Systems. Fierce public debate over forest management has prompted forest agencies to develop and test alternative harvesting systems. This project will examine community response to these harvesting and regeneration options. It will avoid the biases of existing research by developing an interactive simulation of the forest environment that will allow participants to view visual, ecological and economic outcomes of harvest options, as well as changes over time as forest regenerates. Public judgements of the acceptability of harvesting options will be integrated with the outcomes of related biophysical studies to identify socially and ecologically sustainable management options for Australian native forests.Read moreRead less
Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
Managing Fresh-Water Resources in Saline Environments. Australian industry and urban developments often rely on a secure supply of fresh water. In many situations, the fresh water occurs adjacent to large expanses of saline water. This poses special constraints on how the fresh water can be recovered. This project undertakes careful mathematical modelling of fresh water recovery from reservoirs and from within islands (where it may be the only practical source of drinking water). The injecti ....Managing Fresh-Water Resources in Saline Environments. Australian industry and urban developments often rely on a secure supply of fresh water. In many situations, the fresh water occurs adjacent to large expanses of saline water. This poses special constraints on how the fresh water can be recovered. This project undertakes careful mathematical modelling of fresh water recovery from reservoirs and from within islands (where it may be the only practical source of drinking water). The injection and extraction of ground water in novel "mineral leaching" mining technology will also be investigated.Read moreRead less
Tailoring composite propellers for reduced sound radiation. This project aims to explore the generation of noise by composite propellers and to use this understanding to tailor the composite properties to reduce underwater noise. Propellers are a harmful source of noise in the marine environment, disturbing animal behaviour, revealing the location of naval vessels and interfering with sonar operation. Adaptive composite propellers are potentially quieter than metal propellers, as well as offerin ....Tailoring composite propellers for reduced sound radiation. This project aims to explore the generation of noise by composite propellers and to use this understanding to tailor the composite properties to reduce underwater noise. Propellers are a harmful source of noise in the marine environment, disturbing animal behaviour, revealing the location of naval vessels and interfering with sonar operation. Adaptive composite propellers are potentially quieter than metal propellers, as well as offering improvements in efficiency and fuel consumption. The aims of this project are to understand the physical mechanisms associated with composite propeller noise generation. The outcomes are intended to provide advanced numerical capabilities that will support the development of quieter marine propeller designs to improve defence capability and the acoustic environment for marine mammals.Read moreRead less
Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate ....Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.Read moreRead less