Dr Lu Zhuo

Department of Civil and Structural Engineering


Lu Zhuo
+44 114 222 5780

Full contact details

Dr Lu Zhuo
Department of Civil and Structural Engineering
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
S1 3JD

My work aims to understand how large infrastructure networks in cities will react in the event of extreme hydrometeorological events.


Lu is originally from a small town in mainland China. She studied her MEng Civil Engineering (2011) and PhD (2016) in Hydrology and Satellite Remote Sensing at the University of Bristol. She then took up a postdoc position at Bristol to co-create and coordinate a Newton Fund; ‘Resilient Economy and Society by Integrated SysTems’ modelling project. The project aimed to address the earthquake- induced multi-hazards risk management issues in China, and incorporated a multidisciplinary team of natural scientists, engineers, and social scientists.

Lu’s research focusses on multi-hazard disaster risk management and system modelling. This incorporates multi-disciplinary knowledge into a dynamic and unified modelling framework to increase the resilience of cities against extreme hydrometeorological events (such as floods and landslides) caused by changing climates. Lu aims to numerically model the impact of these hazards on infrastructure networks, on people and on possible rescue and mitigation efforts. She helped with the development of HazardCM, which is unique software that assesses and numerically models cities and their resilience to natural hazards such as flooding.

Research Themes



Research interests

Lu’s work covers:

  • Agent-based city modelling on spatio-temporal dynamic hazard risk assessment and management.
  • Climate change induced extreme hydrometeorological events modelling (flood, landslide, drought).
  • Satellite remote sensing of Earth observations (soil moisture, rainfall, land cover, surface temperature), retrieval, optimisation.
  • Scenario-based resilient and sustainable decision-making supports.
  • Mesoscale Numerical Weather Prediction modelling (WRF).

Journal articles

Research group

Resources, Infrastructure Systems and built Environments Discipline

SuDS (Sustainable Drainage Systems) and Urban Drainage

Catchments and River Engineering

Professional activities
  • Engineering Faculty Commendation for Best PhD Thesis (University of Bristol)
  • Conference convenor in session “Increasing Resilience to Natural Hazards in Earthquake Prone Regions in China (IRNHiC)” at the 2017 EGU
  • Published over 30+ peer-reviewed journal and conference papers including in high impact journals such as Hydrology and Earth System Sciences and Journal of Hydrology
  • Reviewer for top-tier journals, including Journal of Hydrology, Hydrological Processes, Remote Sensing, Atmospheric Research, Hydrological Science Journal, and Hydrology Research
Potential PhD offerings

The assessment of extreme urban flooding risks on traffic network using Digital Twin technology

This PhD project will focus on the integration of the hydrodynamic model, traffic model, and urban Digital Twin for extreme flooding risk assessment, and management, in particular,

  • the simulation of flood events based on different climate change scenarios
  • enhance the performance of the hydrodynamic model through model modifications and coupling technologies.
  • the integration of the hydrodynamic model, traffic model and the city Digital Twin
  • urban flood risk assessment on traffic networks
  • study on resilience and sustainable decision-making supports for future urban planning and development

The development of an advanced dynamic risk assessment tool based on agent-based modelling

This PhD project will focus on further developing a dynamic disaster risk assessment tool called HazardCM, which is an agent-based model that can simulate the dynamic human exposure to natural hazards. In particular, the project is to add - 

  • an infrastructure network module to cover a wide range of lifeline criticalities such as road, water, energy, bridges, etc;
  • a hazard mitigation module to assess the effectiveness of different mitigation measure options;
  • a resilience module to estimate the key social impact factors such as vulnerability and risks.

A Multi-hazard Modelling Approach For Disaster Risk Management

This PhD project will particularly focus on modelling the multi-hydrometeorological hazards (floods, landslides and debris flow) and provide useful research outcomes (e.g., multi-hazard risk maps) for hazard risk management. Satellite remote sensing technology will also be adopted to build a multi-hazard inventory map.