A Stochastic Spatial Rainfall Model for Engineering Risk Assessment. Current Australian hydrologic design practice is moving towards use of continuous simulation to more accurately evaluate the performance of the water-related infrastructure for managing floods and droughts. A major impediment is the inability to simulate the temporal and spatial variability of rainfall. This project aims to develop a stochastic rainfall model that will simulate long records of representative six-minute duration ....A Stochastic Spatial Rainfall Model for Engineering Risk Assessment. Current Australian hydrologic design practice is moving towards use of continuous simulation to more accurately evaluate the performance of the water-related infrastructure for managing floods and droughts. A major impediment is the inability to simulate the temporal and spatial variability of rainfall. This project aims to develop a stochastic rainfall model that will simulate long records of representative six-minute duration rainfall throughout the target region. The proposal introduces a three-level hierarchical model of space-time rainfall building on experience of a point rainfall model developed in previous ARC research. Practical issues dealing with data quality and validation will also be addressed.Read moreRead less
A new flood design methodology for a variable and changing climate. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of water resources, the productivity of agricultural systems, and aquatic and terrestrial ecosystems. Given the impact of extreme events such as floods and the massive investment in water-related infrastructure, evaluation of these risks is an issue of national economic and environmental significance. Monte Carlo simulation tech ....A new flood design methodology for a variable and changing climate. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of water resources, the productivity of agricultural systems, and aquatic and terrestrial ecosystems. Given the impact of extreme events such as floods and the massive investment in water-related infrastructure, evaluation of these risks is an issue of national economic and environmental significance. Monte Carlo simulation techniques will quantify the risks associated with current and future climate change, and the combined risks that come from multiple sources, such as from coastal tides and storm runoff. This research will provide a new spatial framework for calculating risk as well as tools to evaluate flood risk.Read moreRead less
Environmental impacts of climate change in the Nile basin over the past 30,000 years. There is growing international and national concern over the possible environmental, economic and social impacts of global and regional climate change. This project brings together a multi-disciplinary team of internationally recognised research leaders and the resources they command to investigate the environmental impacts of climatic changes in the Nile basin over geologically recent times. The outcome will b ....Environmental impacts of climate change in the Nile basin over the past 30,000 years. There is growing international and national concern over the possible environmental, economic and social impacts of global and regional climate change. This project brings together a multi-disciplinary team of internationally recognised research leaders and the resources they command to investigate the environmental impacts of climatic changes in the Nile basin over geologically recent times. The outcome will be a more comprehensive understanding of how a major river system responds to global and regional climate change, and will provide an enhanced conceptual basis for anticipating how drainage systems such as the Murray-Darling could respond to future change.Read moreRead less
Mathematical models for water management systems. The Australian community is currently talking about schemes to return water to the Murray-Darling river system to combat increased salinity and dramatically reduced river flow. Many believe that vastly improved water management policies are essential to maintain agricultural well-being in Australia. Salinity and water quality depend directly on flow rates and are also important in smaller catchments. In this study we will use statistical rainf ....Mathematical models for water management systems. The Australian community is currently talking about schemes to return water to the Murray-Darling river system to combat increased salinity and dramatically reduced river flow. Many believe that vastly improved water management policies are essential to maintain agricultural well-being in Australia. Salinity and water quality depend directly on flow rates and are also important in smaller catchments. In this study we will use statistical rainfall models and stochastic dynamic programming to find practical water management policies that minimise the risk to water supply. We will develop an interactive simulation and management tool using a modern computer graphics package.Read moreRead less
A stochastic space-time model of rainfall fields in large heterogeneous regions. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of its water resources, the productivity of its agricultural systems, and its aquatic and terrestrial ecosystems. Given the impact of extreme events such as droughts and floods and given the massive investment in water-related infrastructure, evaluation of such risks is an issue of national economic, social and envi ....A stochastic space-time model of rainfall fields in large heterogeneous regions. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of its water resources, the productivity of its agricultural systems, and its aquatic and terrestrial ecosystems. Given the impact of extreme events such as droughts and floods and given the massive investment in water-related infrastructure, evaluation of such risks is an issue of national economic, social and environmental significance. Stochastic space-time rainfall models enable rainfall and climatic variability to be quantified, simulated over arbitrarily long periods, and risks assessed. This research will provide software and the development of rainfall modelling frameworks for large river basins such as the Murray-Darling.Read moreRead less