lu_zhuo

Dr Lu Zhuo

Lecturer

Address:
Department of Civil and Structural Engineering
Sir Frederick Mappin Building
Mappin Street, Sheffield, S1 3JD

Telephone: +44 (0) 114 222 5780
Fax: +44 (0) 114 222 5700

Email: lu.zhuo@sheffield.ac.uk
Room: F113

 

 


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

Dr Lu Zhuo


Profile

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.

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).

Activities and Distinctions

  • 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


Selected Publications

Journal articles

Chapters

Conference proceedings papers