STAFF PROFILE
Dr. Catherine Leigh
Position:
Associate
College / Portfolio:
STEM College
Email:
catherine.leigh@rmit.edu.au
Campus:
Bundoora West
Contact me about:
Research supervision
3 PhD Current Supervisions
- Rele, B.,Hogan, C.,Kandanaarachchi, S.,Leigh, C. (2023). Short-term prediction of stream turbidity using surrogate data and a meta-model approach: A case study In: Hydrological Processes, 37, 1 - 13
- Kermorvant, C.,Liquet, B.,Litt, G.,Mengersen, K.,Peterson, E.,Hyndman, R.,Jones, J.,Leigh, C. (2023). Understanding links between water-quality variables and nitrate concentration in freshwater streams using high frequency sensor data In: PLoS ONE, 18, 1 - 16
- Paranaíba, J.,Aben, R.,Barros, N.,Quadra, G.,Leigh, C., et al, . (2022). Cross-continental importance of CH4 emissions from dry inland-waters In: Science of The Total Environment, 814, 1 - 20
- Zhao, Q.,Zhang, Y.,Guo, F.,Leigh, C.,Jia, X. (2021). Increasing anthropogenic salinisation leads to declines in community diversity, functional diversity and trophic links in mountain streams In: Chemosphere, 263, 1 - 11
- Sauquet, E.,Shanafield, M.,Hammond, J.,Sefton, C.,Leigh, C.,Datry, T. (2021). Classification and trends in intermittent river flow regimes in Australia, northwestern Europe and USA: A global perspective In: Journal of Hydrology, 597, 1 - 17
- Kermorvant, C.,Liquet, B.,Litt, G.,Jones, J.,Mengersen, K.,Peterson, E.,Hyndman, R.,Leigh, C. (2021). Reconstructing Missing and Anomalous Data Collected from High-Frequency In-Situ Sensors in Fresh Waters In: International Journal of Environmental Research and Public Health, 18, 1 - 14
- Keler, P.,Catalan, N.,von Schiller, D.,Leigh, C., et al, . (2020). Global CO2 emissions from dry inland waters share common drivers across ecosystems In: Nature Communications, 11, 1 - 8
- Leigh, C.,Stewart-Koster, B.,Sang, N.,Truc, L.,Hiep, L.,Xoan, V.,Tinh, N.,An, L.,Sammut, J.,Burford, M. (2020). Rice-shrimp ecosystems in the Mekong Delta: Linking water quality, shrimp and their natural food sources In: Science of the Total Environment, 739, 1 - 12
- Pearse, A.,McGree, J.,Som, N.,Leigh, C.,Maxwell, P.,Ver Hoef, J. (2020). SSNdesign—An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks In: PL o S One, 15, 1 - 17
- Perez-Ramírez, J.,Leigh, C.,Liquet, B.,Kermorvant, C.,Peterson, E.,Sous, D.,Mengersen, K. (2020). Detecting Technical Anomalies in High-Frequency Water-Quality Data Using Artificial Neural Networks In: Environmental Science and Technology, 54, 13719 - 13730
- Novel water-quality monitoring for healthy platypus habitat (Administered by The University of Melbourne). Funded by: ARC Centre of Excellence Grant - Via Other University from (2021 to 2021)
- Revolutionising Monitoring of Waterway Health in Merri Creek. Funded by: City of Whittlesea - Contract from (2020 to 2021)
- Revolutionising water-quality monitoring in the information age (Administered by Queensland University of Technology). Funded by: ARC Linkage via Other University from (2019 to 2022)