A5062135180- Environmental Toxicology and Ecotoxicology
- Water Quality Monitoring Technologies
- Hydrological Forecasting Using AI
- Pesticide and Herbicide Environmental Studies
- Anomaly Detection Techniques and Applications
- Environmental Chemistry and Analysis
- Marine and coastal ecosystems
- Pharmaceutical and Antibiotic Environmental Impacts
- Effects and risks of endocrine disrupting chemicals
- Chemistry and Chemical Engineering
- Fish Ecology and Management Studies
- Ocean Acidification Effects and Responses
- Pesticide Exposure and Toxicity
- Coral and Marine Ecosystems Studies
- Reproductive biology and impacts on aquatic species
- Time Series Analysis and Forecasting
- Isotope Analysis in Ecology
- Inorganic and Organometallic Chemistry
- Water Quality and Pollution Assessment
- Aquatic Ecosystems and Phytoplankton Dynamics
- Marine Biology and Ecology Research
- Marine and fisheries research
NSW Department of Climate Change, Energy, the Environment and Water
2024
Griffith University
2015-2022
Queensland Department of Environment and Science
2017-2019
Synthetic hormones have been widely reported in treated sewage effluents, and consequently receiving aquatic environments. Ethinylestradiol (EE2) is a potent synthetic estrogen commonly used conjunction with levonorgestrel oral contraceptive pills. Both EE2 identified the environment, but although there significant amount of literature on EE2, much less information levonorgestrel. Using Australian prescription data as well excretion predicted wastewater removal rates, concentrations were...
Coastal ecosystems are exposed to multiple anthropogenic stressors. Effective management actions would be better informed from generalized predictions of the individual, combined and interactive effects stressors; however, few generalities shared across different meta-analyses. Using an experimental study, we present approach for analysing regression-based designs with additive models that allowed us capture nonlinear exposure duration stressor intensity access interactions among We tested...
Increased frequency of summer heatwaves and poor water quality are two the most prevalent severe pressures faced by coral reefs. While these often co-occur, their potential risks to tropical marine species usually considered independently. Here, we extended application multisubstance-Potentially Affected Fraction (ms-PAF) a nonchemical stressor, elevated sea surface temperature. We then applied this method calculate climate-adjusted guideline values (GVs) for reference toxicants, copper...
Pesticide active ingredients are frequently detected in the rivers, creeks, wetlands, estuaries, and marine waters of Great Barrier Reef (GBR) region one main contributors to poor water quality. concentrations environment through quality monitoring programs can be compared against estimates ecologically "safe" (i.e., guidelines) assess potential hazard risk posed aquatic ecosystems. Water guidelines also required estimate by pesticide mixtures, which is used for 2050 Quality Improvement Plan...
Coastal ecosystems such as those in the Great Barrier Reef (GBR) lagoon, are exposed to stressors flood plumes including low light (caused by increased turbidity) and agricultural pesticides. Photosystem II (PSII)-inhibiting herbicides most frequently detected pesticides GBR but it is not clear how their toxicity phototrophic species depends on availability. This study investigated individual combined effects of PSII-inhibiting herbicide, diuron, reduced intensity (as a proxy for marine...
Pesticide active ingredients are frequently detected in the rivers, creeks, wetlands, estuaries, and marine waters of Great Barrier Reef (GBR) region one main contributors to poor water quality. concentrations environment through quality monitoring programs can be compared against estimates ecologically "safe" (i.e., guidelines) assess potential hazard risk posed aquatic ecosystems. Water guidelines also required estimate by pesticide mixtures, which is used for 2050 Quality Improvement Plan...
River water-quality monitoring is increasingly conducted using automated in situ sensors, enabling timelier identification of unexpected values. However, anomalies caused by technical issues confound these data, while the volume and velocity data prevent manual detection. We present a framework for anomaly detection high-frequency from turbidity, conductivity river level data. After identifying end-user needs defining anomalies, we ranked their importance selected suitable methods. High...