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Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in t ....Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in the field of view. Spatial data is a very important resource, widely used in many types of urban and rural planning operations. Planning software packages require vectorised descriptions of building outlines and other spatial data, however this is not presently available from raw ALS data. The project will investigate this problem and develop new and effective means for producing it automatically from raw ALS data. Expected outcomes include a successful research masters studentship, the development of novel solutions to the problem which are directly applicable to the industry partner's core business, peer reviewed publications, and an strengthened link between the universities and the industry partner.Read moreRead less
Simulation Technology for Modelling Extreme Bushfire Behaviour. Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impa ....Simulation Technology for Modelling Extreme Bushfire Behaviour. Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impact by preparedness and suppression. Incorporating an evidence-based fire spread model into a fire location forecasting system will give fire agencies early warning of potentially disastrous fires, enable early response to prevent fires and mitigate the consequence to life, property and the environment. Read moreRead less
Model quality evaluation from finite data sets. Models of dynamical systems are used in many areas of science and engineering. There will always be uncertainties associated with a model, and in this project we will develop a tool for assessing this uncertainty. Having a good description of the uncertainty will depending on the application, lead to better designs, more efficient operations, better decision making etc. One particular application area of this research is to quantify the uncertainti ....Model quality evaluation from finite data sets. Models of dynamical systems are used in many areas of science and engineering. There will always be uncertainties associated with a model, and in this project we will develop a tool for assessing this uncertainty. Having a good description of the uncertainty will depending on the application, lead to better designs, more efficient operations, better decision making etc. One particular application area of this research is to quantify the uncertainties in models of irrigation channels. This will allow us to design better systems for regulation of water levels and flows, leading to large water savings and significant environmental benefits.
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Improving flow management for the control of blue-green algal blooms. Cyanobacterial (blue-green algal) blooms are a major water quality problem worldwide. They are toxic, produce odours and are estimated to cost around $200 million/year in Australia alone. Flow management is one of the most promising approaches for combating the cyanobacterial bloom problem in rivers. In this research, a new risk-based approach for quantifying the impact of flow management on cyanobacterial blooms is developed, ....Improving flow management for the control of blue-green algal blooms. Cyanobacterial (blue-green algal) blooms are a major water quality problem worldwide. They are toxic, produce odours and are estimated to cost around $200 million/year in Australia alone. Flow management is one of the most promising approaches for combating the cyanobacterial bloom problem in rivers. In this research, a new risk-based approach for quantifying the impact of flow management on cyanobacterial blooms is developed, which can be applied to rivers world wide. The utility of the approach is demonstrated for key sites in the Murray-Darling basin, providing a valuable decision support tool for river managers.Read moreRead less
Integrated Water Management in the Lower Richmond Catchment. Water quality in Richmond River estuary, NSW, is of critical concern to fishing, aquaculture, tourism and recreation industries. Upland horticulture on the Alstonville Plateau and drained acid sulfate soils in lowland floodplains discharge nutrient-rich, acidic water to the estuary. Previous studies have treated floodplains, upland and estuary separately. This study will develop an integrated catchment approach to water management in t ....Integrated Water Management in the Lower Richmond Catchment. Water quality in Richmond River estuary, NSW, is of critical concern to fishing, aquaculture, tourism and recreation industries. Upland horticulture on the Alstonville Plateau and drained acid sulfate soils in lowland floodplains discharge nutrient-rich, acidic water to the estuary. Previous studies have treated floodplains, upland and estuary separately. This study will develop an integrated catchment approach to water management in the Lower Richmond by treating surface water and groundwater as a single resource. The whole-of-system approach will help mitigate socio-economic and environment impacts of nutrient-rich and acidic drainage waters. It will be transferable to other "hot spots" in Australia.Read moreRead less
Adaptive Agents Simulation of Freshwater Ecosystems: Artificial Intelligence Framework to Discover and Forecast Emergent Ecosystem Structures and Behaviours in Response to Environmental Changes. The project aims at intelligent adaptive agent models for lakes and rivers in order to improve understanding and proactive management of these highly complex ecosystems. Little is known about species succession in freshwater ecosystems in response to local and global environmental changes. Evolutionary a ....Adaptive Agents Simulation of Freshwater Ecosystems: Artificial Intelligence Framework to Discover and Forecast Emergent Ecosystem Structures and Behaviours in Response to Environmental Changes. The project aims at intelligent adaptive agent models for lakes and rivers in order to improve understanding and proactive management of these highly complex ecosystems. Little is known about species succession in freshwater ecosystems in response to local and global environmental changes. Evolutionary algorithms embodied in differential equations, neural networks and rules allow adaptive agents to simulate emergent structures and behaviours of algae and zooplankton communities interacting by competition and predation. The agents are trained and tested by ecological time-series of twelve lakes and rivers, and validated for the Mediterranean Myponga Reservoir, South Australia, and the temperate Burrinjuck Reservoir, NSW.Read moreRead less
Designing Better Landowner Contracts to Protect Australia's Environment. There will be two main benefits from this project. First a reduction in the cost of protecting the environment and second, a greater awareness amongst regulators of the determinants of compliance costs and their variability amongst landowners. By making environmental contracts more efficient, this project will contribute towards making Australian agriculture more sustainable in terms of protecting biodiversity, conserving ....Designing Better Landowner Contracts to Protect Australia's Environment. There will be two main benefits from this project. First a reduction in the cost of protecting the environment and second, a greater awareness amongst regulators of the determinants of compliance costs and their variability amongst landowners. By making environmental contracts more efficient, this project will contribute towards making Australian agriculture more sustainable in terms of protecting biodiversity, conserving water and reducing the rate of soil loss.Read moreRead less
New Techniques for Artificial Neural Network Modelling in Hydrology. In recent years, artificial neural networks (ANNs) have demonstrated the potential to provide improved predictions when compared with the more traditional hydrological modelling techniques in a number of areas. These include the prediction of rainfall, streamflow and water quality parameters. However, one of the major difficulties associated with the application of ANNs is the lack of an established methodology for their design ....New Techniques for Artificial Neural Network Modelling in Hydrology. In recent years, artificial neural networks (ANNs) have demonstrated the potential to provide improved predictions when compared with the more traditional hydrological modelling techniques in a number of areas. These include the prediction of rainfall, streamflow and water quality parameters. However, one of the major difficulties associated with the application of ANNs is the lack of an established methodology for their design and implementation. This research will develop new methods for constructing ANN models and test them on a number of case studies so that the full potential and genuine utility of ANNs for solving hydrological problems can be assessed.Read moreRead less
Negotiation Support Systems for Groundwater Managment in Small Islands. Expanding populations and limited land area in small islands are increasing the pressures on fresh groundwater resources. The dilemma is how to protect shallow groundwater reserves without alienating traditional landowners and without generating costly conflicts. The problem is complex and involves the interaction of hydrologic and technical factors with socio-cultural, economic, policy and institutional factors. Multi Agent ....Negotiation Support Systems for Groundwater Managment in Small Islands. Expanding populations and limited land area in small islands are increasing the pressures on fresh groundwater resources. The dilemma is how to protect shallow groundwater reserves without alienating traditional landowners and without generating costly conflicts. The problem is complex and involves the interaction of hydrologic and technical factors with socio-cultural, economic, policy and institutional factors. Multi Agent Systems (MAS) have been developed to study the interaction between societies and the environment. Here we will use MAS to develop Negotiation Support Systems for groundwater management in small islands.Read moreRead less
Genetic evaluation of the diversity of the stygobitic fauna of the Pilbara, Western Australia. This study has two main aims, designed to help manage populations of the subterranean invertebrate fauna in an economically important region of Western Australia: 1) to provide phylogenetic and population genetic information on the structure of populations of amphipods and other groundwater fauna in the Pilbara, Western Australia, and 2) to investigate areas of the ecology of the fauna including respon ....Genetic evaluation of the diversity of the stygobitic fauna of the Pilbara, Western Australia. This study has two main aims, designed to help manage populations of the subterranean invertebrate fauna in an economically important region of Western Australia: 1) to provide phylogenetic and population genetic information on the structure of populations of amphipods and other groundwater fauna in the Pilbara, Western Australia, and 2) to investigate areas of the ecology of the fauna including response to changes in water chemistry. The genetic information will be used to gain an understanding of species diversity, distributions, and movement in order to help set conservation priorities in managing resources, habitats, and fauna. The ecological data will be used to study the effects of dewatering and changes in water chemsitry on morphology and survival.Read moreRead less