Laura Wignall

Project: Real-time flood forecasting using artificial neural networks

Supervisor: Professor Slobodan Djordjevic and Dr Albert Chen


Laura is a PhD student on the WISE CDT programme, and is currently completing her research at the University of Exeter. Prior to joining WISE, Laura graduated from the University of Reading with a BSc (Hons) in Human and Physical and Geography, and went on to complete an MSc in Water and Environmental Management at Brighton University. Her Master’s dissertation was entitled ‘A critical evaluation of household level drinking water treatments promoted for use in emergency settings by the Red Cross.’

Research Project

After completing the first year WISE Postgraduate School, Laura identified her interest in utilising hydroinformatics as a tool for flood management, particularly real-time flood forecasting.

During the second year of the WISE CDT, the Gandak River in Northern India was identified as an initial case study in order to contribute to an existing research project: ‘Coupled Human and Natural Systems Environment (CHANSE) for water management under uncertainty in the Indo-Gangetic Plain (IGP).

The Gandak River is representative of large scale catchments with limited data. Initial efforts have been to create a 1D hydrodynamic model of the Gandak River, overcoming limited data availability and utilising freely available sources.

The model is now being used to develop a suitable methodology for the implementation of real-time flood forecasting within the catchment, which can then be applied to other case studies with similar characteristics and challenges.


2018 Summer School Research Poster

2017 Summer School Research Presentation

2017 Summer School Research Poster