Danlu Guo

Senior Research Fellow and Senior Lecturer

Picture of Danlu Guo

Birch Building (35), 216



Google Scholar


  • River water quality
  • Rainfall-runoff modelling
  • Data-driven models
  • Bayesian modelling
  • Large-sample hydrology


  • Hydrology 3707
  • Surface Water Hydrology 370704
  • Environmental Engineering 4011
  • Climate Change Impacts and Adaptation 4101


Dr Danlu Guo joined ANU CECC as a Senior Lecturer in December 2022. Danlu completed her PhD in Hydrology at the University of Adelaide in April 2017 and worked as a Research Associate at UNSW Sydney from October 2016 to October 2017. Since then, Danlu worked as a Research Associate and Teaching Specialist at the Infrastructure Engineering, University of Melbourne until late 2022, and is currently an honorary fellow of University of Melbourne.

Danlu’s research spans multiple fields of hydrology and environmental engineering, including catchment rainfall-runoff modelling, water quality modelling and climate change impel assessment, which centre around a common theme of understanding and modelling catchment water resources via data-driven and large-sample approaches. Danlu’s research excellence has been recognized by: the 2022 GN Alexander Medal awarded by Engineers Australia; the 2019 Early Career Research Award by the Modelling and Simulation Society of Australia and New Zealand (MSSANZ); one of her publications was the most downloaded paper in Water Resources Research during 2018-2019.

Danlu has been the lead Cl for nearly 1 M Category 2 funding. She has also worked in two ARC Linkage Projects. Danlu has over 4 years’ experience in teaching and postgraduate supervision experience, taking roles including Subject Coordinator and Lecturer for multiple subjects in environmental engineering and hydrology. She also serves as a committee member of MSSANZ water wuality modelling special interest group, working towards building a strong water quality modelling community across Australia and New Zealand.


Danlu currently hosts the following projects:

  • Understanding uncertainties in water quality monitoring to inform future network design (Primary Investigator)
  • DELWP Water Quality Analysis 2022 (Stages 2) (Primary Investigator)
  • Improving water quality modelling by better understanding solute transport (Secondary Investigator)

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