Dr Danlu Guo
I am currently working on multiple projects to investigate the impact of current climate variability on water quality for both publich health and catchment health interests, as well as improving the efficiency of irrigation scheduling.
My long-term research interests are centred around two research questions: 1. How do modelling decisions, such as data usages, calibration setting and model parameters, affect our understanding of climatic impacts on water resources systems? 2. How can we clearly communicate model limitations and uncertainties, particularly for statistical models which are inherently empirical and can be unsuitable for extrapolation?
He, Z., Yao, J., Lu, Y., & Guo, D. (2022). Detecting and explaining long-term changes in river water quality in south-eastern Australia. Hydrological Processes, e14741. https://doi.org/https://doi.org/10.1002/hyp.14741
Wasko, C., & Guo, D. (2022). Understanding event runoff coefficient variability across Australia using the hydroEvents R package. Hydrological Processes, e14563. https://doi.org/https://doi.org/10.1002/hyp.14563
Guo, D., Wang, Q. J., Ryu, D., Yang, Q., Moller, P., & Western, A. W. (2022). An analysis framework to evaluate irrigation decisions using short-term ensemble weather forecasts. Irrigation Science. https://doi.org/10.1007/s00271-022-00807-w
Guo, D., Minaudo, C., Lintern, A., Bende-Michl, U., Liu, S., Zhang, K., & Duvert, C. (2022). Synthesizing the impacts of baseflow contribution on concentration–discharge (C–Q) relationships across Australia using a Bayesian hierarchical model. Hydrol. Earth Syst. Sci., 26(1), 1-16. doi:10.5194/hess-26-1-2022