Wenyan Wu

Brief Introduction

Name: Wenyan Wu
Highest qualification and awarding university PhD

The University of Adelaide, Australia

Designation Senior Lecturer
Employer The University of Melbourne, Australia
Contact details:

  1. Email:
  2. WhatsApp number/Mobile number
+61 0424 269 633
Home page link on your employer web site if available https://findanexpert.unimelb.edu.au/profile/813738-wenyan-wu
Key areas of interest • Compound event analysis (e.g. compound flood)
• Water resource/supply system modelling and optimisation
• Artificial neural networks for environmental modelling
• Ensemble flood forecasting
• Multi-objective optimisation and its applications in decision support
Web links for your research profile on Google scholar; ORCID or ResearchGate (if available); only one of them please. https://scholar.google.com.au/citations?user=7N-YnaQAAAAJ&hl=en

Dr Wenyan Wu is a Senior Lecturer in Environmental Hydrology & Water Resources in the Department of Infrastructure Engineering, the University of Melbourne. She has over ten years’ experience across academia and industry. Dr Wu has a background in environmental modelling and optimisation using numerical methods, with applications in optimal design and operation of water distribution systems and management of water resource systems. She also worked as an Environmental Engineer, when she conducted flood risk assessment and developed flood mitigation strategies with the aid of 2D hydrodynamic models. Her current research focuses on the use of numerical and statistical modelling tools to solve environmental engineering problems. 

Research Project

  1. ARC Linkage project: Water availability and demand: better forecasts, better management
  2. IIT Kharagpur – University of Melbourne SPARC Project: Integrated Urban Water Management for Enhanced Water Security

Key Publications/Reports

  1. Wu, W., Maier, H.R., Dandy, G.C., Arora, M. and Castelletti, A. (2020) The changing nature of the water-energy nexus in urban water supply systems: A critical review of changes and responses, Journal of Water and Climate Change (jwc2020276). https://doi.org/10.2166/wcc.2020.276  [Invited review paper] 
  2. Wu, W., Emerton, E., Duan, Q., Wood, A.W. and Wetterhall, F. (2020), Ensemble flood forecasting: current status and future opportunities, WIREs Water. doi:10.1002/wat2.1432 [Invited review paper]
  3. Haibo Chu, Wenyan Wu, QJ Wang, Rory Nathan, Wei, (2020) “An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions”. Environmental Modelling and Software, 124, https://doi.org/10.1016/j.envsoft.2019.104587
  4. Wenyan Wu and Michael Leonard (2019) “Impact of ENSO on compound coastal flood due to storm surge and rainfall”, Environmental Research Letters, 14(12), https://doi.org/10.1088/1748-9326/ab59c2
  5. Wu, W., Dandy, G.C., Maier, H.R., Maheepala, S., Marchi, A. and Mirza, F. (2017), Identification of Optimal Water Supply Portfolios for a Major City, Journal of Water Resources Planning and Management, 143(9), DOI: https://doi.org/10.1061/(ASCE)WR.1943-5452.0000811#sthash.05E9dwx2.dpuf