Ms Xue Tong


  • Research Associate

Research groups and centres

Research and expertise

I am a research associate working on the development of a near-real-time flood forecasting and flood risk management platform to demonstrate a new methodology and tool for assessing, analysing, monitoring and forecasting the state of flood risk at higher spatial and temporal resolutions.

My research interests cover real-time flood forecasting, non-point source pollutants, interactive dynamics of flooding and floating debris, and flood risk assessment.


Current research activity

  • Work on UKRI-funded project PYRAMID: To further develop the in-house flood modelling software HiPIMS for predicting at high resolution urban flood hydrodynamics interacting with floating debris; integrate the model with data streams from different sources to support dynamic near-real-time flood risk assessment. 


Recently completed research projects 

  • The State Major Project of Water Pollution Control and Management(2017ZX07603-001): my work was to develop modelling tools to simulate the full soil and runoff process of Nitrogen and Phosphorus both as immobile soil pools and as fractions dissolved in soil water 

Recent publications

  • Tong X, Liang Q, Wang G. Hydrodynamic Simulation of Seasonal Fluvial Process over a Large Catchment. EGU General Assembly 2020 (Abstract only)
  • Tong X, Liang Q. Catchment-Scale Hydrodynamic Modelling of Seasonal Fluvial Processes. American Geophysical Union, Fall Meeting 2019 (Abstract only)
  • Liang Q, Xing Y, Ming X, Xia X, Chen H, Tong X, Wang G. An open-source modelling and data system for near real-time flood. 37th IAHR World Congress.2017 


I am a Research Associate working on a UKRI-funded project, PYRAMID.

I graduated from Hohai University, China in 2012 with a BEng in Harbour, Coastal and Engineering. And then I enrolled in the direct-PhD programme of Hohai University in 2017.

My research background includes Hydrodynamic Modelling, Non-point Source pollutants, floating debris, and flood risk assessment.