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Enhancing urban flood resilience with innovative digital design technologies (OP2219)

   Faculty of Science, Agriculture and Engineering

  Dr Haibo Feng  Monday, January 24, 2022  Competition Funded PhD Project (Students Worldwide)

Newcastle United Kingdom Climate Science Data Analysis Data Science Electrical Engineering Environmental Engineering Internet Of Things Machine Learning

About the Project

In England, 3.2 million households are located in areas at risks of urban flooding, with annual damages exceeding £300 million. Due to the extreme environmental conditions, unprecedented downpours across the country in recent years further increases the flooding events on URN. Flooding of a small part of the network can result in many thousands of people being stranded and in multi-million damages as experienced on the ubran area in recent years.

Flood resilience aims to minimise the damage during the flooding event, reduce the costs for flood recovery, and efficiently deploy recovery measures. Available studies have investigated how to define, measure, and assess the flood resilience from different perspectives. However, there is still a dearth of: (1) studies proposing operational frameworks, enabled by emerging digital technologies, for minimising flood impact and achieving resilience targets through improved mornitoring and reporting; (2) limited evidence of wider testing of proposed solutions at ‘network’ level – testing is often performed in specific or siloed case studies – involving a ‘multi-agency’ approach for sharing information about flood reporting and monitoring; and (3) lack of integration of proposed solutions within legacy systems of government agencies (i.e. Northumbian Water) and their infrastructure strategy’s key performance indicators.

The aim of this research is twofold: to develop an operational framework, enabled by digital technologies (e.g. IoT, Drones, Satellites, cloud computing) and data-analytics methods, for improving infrastructure resilience through enhanced monitoring and reporting of flood events on the SRN; to develop and test a novel tool for prediction of flood on the SRN that uses both existing infrastructure data and data generated from the deployment of the operational framework. The Industrial partners (BIM Academy and Northumbrian Water) will be actively involved to provide industrial resources and expertise, as well as infrastructure data.

Funding Notes

This project is part of the NERC ONE Planet DTP. Each of our studentship awards include 3.5 years of fees (Home/EU), an annual living allowance (£15,650) and a Research Training Support Grant (for travel, consumables, etc).
Home and International applicants (inc. EU) are welcome to apply. Following the UKRI announcement regarding their new 30% UKRI international recruitment policy (to take effect from September 2021) both Newcastle University, and Northumbria University, have agreed to pay the international fee difference for all International applicants (inc. EU) who are awarded a DTP studentship. Interviews will take place in February 2022.
How to apply: View Website

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