Developing and validating an air quality assessment model for application in human exposure assessment, housing/urban planning and policy setting. At present there does not exist a model for assessing human exposure to airborne pollutants in places where people live, work and rest. In addition, experimental exposure assessments display large discrepancies dependent on the measurement method used. This research aims at developing and validating an air quality assessment model that would enable ....Developing and validating an air quality assessment model for application in human exposure assessment, housing/urban planning and policy setting. At present there does not exist a model for assessing human exposure to airborne pollutants in places where people live, work and rest. In addition, experimental exposure assessments display large discrepancies dependent on the measurement method used. This research aims at developing and validating an air quality assessment model that would enable predictions of air quality in various mircoenvironments for the purpose of exposure and risk assessment, housing and urban planning, and policy setting. This research will provide scientific foundation and a tool for developing future directions for management and control to protect the community and the environment.Read moreRead less
New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questi ....New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questions at acceptable computational cost, for complex models with outputs measured in a wide variety of ways. The outcomes will be new sensitivity assessment tools and experience of their use in an environmental application of great importance to Australia.Read moreRead less
Impacts of deforestation and afforestation on greenhouse gas emissions, and carbon and water resources in the Daly River catchment, north Australia. Over the last decade, north Australia have been viewed as a potentially exploitable resource, given issues of salinisation, soil acidification, over-allocation of water resources and rainfall declines in south Australian agricultural regions. Improved pastures and plantation forestry are two land uses that may expand in the NT. Clearing of savanna v ....Impacts of deforestation and afforestation on greenhouse gas emissions, and carbon and water resources in the Daly River catchment, north Australia. Over the last decade, north Australia have been viewed as a potentially exploitable resource, given issues of salinisation, soil acidification, over-allocation of water resources and rainfall declines in south Australian agricultural regions. Improved pastures and plantation forestry are two land uses that may expand in the NT. Clearing of savanna vegetation would be required, with implications for greenhouse gas emissions, soil health, water resources and dry season environmental flows. This project will track greenhouse emissions and water use from uncleared and cleared savanna that has been converted to pasture and timber plantations, providing critical understanding of the environmental implication of such land use change in savanna.Read moreRead less
Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rath ....Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rather than concentrating on individual sites. It intends to underpin a new predictive capacity including response to land use and management changes and climatic variations based on long-term data sets, as well as a water quality prediction capability. It is intended that the models developed will jointly model a range of inter-related water quality parameters.Read moreRead less
Finding lost dust storms: re-evaluation of the last 20 years of meteorological records to advance wind erosion mapping in Australia. The Dust Event Database (DEDB) at Griffith University is the only long term (1960 - present) record of wind erosion in Australia. It is used in many studies of the impact of dust on the terrestrial, atmospheric and marine environments as well as in studies of urban and regional air pollution and environmental health. Through this project, the revision of the DEDB w ....Finding lost dust storms: re-evaluation of the last 20 years of meteorological records to advance wind erosion mapping in Australia. The Dust Event Database (DEDB) at Griffith University is the only long term (1960 - present) record of wind erosion in Australia. It is used in many studies of the impact of dust on the terrestrial, atmospheric and marine environments as well as in studies of urban and regional air pollution and environmental health. Through this project, the revision of the DEDB will provide new knowledge on these impacts of wind erosion processes and will inform environmental policy through its contributions to the Caring for Our Country Program, the national State of the Environment, and the Australian Centre for Rangeland Information Systems.Read moreRead less
Monitoring organic matter in drinking water systems using fluorescence spectroscopy: improved early warning, process optimisation and water quality. Climate change is contributing to elevated organic matter (OM) concentrations in drinking water supplies. If insufficiently treated, OM can lead to unacceptable concentrations of disinfection by-products, considered to be potential carcinogens, as well as taste and odour problems and bacterial re-growth in the distribution system. Currently availabl ....Monitoring organic matter in drinking water systems using fluorescence spectroscopy: improved early warning, process optimisation and water quality. Climate change is contributing to elevated organic matter (OM) concentrations in drinking water supplies. If insufficiently treated, OM can lead to unacceptable concentrations of disinfection by-products, considered to be potential carcinogens, as well as taste and odour problems and bacterial re-growth in the distribution system. Currently available on-line monitoring techniques give limited information regarding the nature of OM; however, fluorescence spectroscopy has shown promise in this regard. Hence, this project aims to provide an on-line monitoring protocol utilising fluorescence to aid utilities in their provision of safe drinking water, thus addressing the National Research Priority goal water – a critical resource.Read moreRead less