Project details
Project Rationale
Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models for more accurate prediction of different types of flooding processes, these latest flood modelling technologies have not yet been fully leveraged to support practical flood risk management.
This shortfall is attributed to the demanding computational requirements and the need for high-level expertise in specialized knowledge and programming skills. Simultaneously, effective flood risk management demands a spatially explicit assessment to pinpoint flooding exposure and risk at an object-based scale.
However, conducting object-based evaluation requires comprehensive data support. Data is often dispersed across different organizations, stored in various formats, or challenging to obtain, particularly in developing countries. Therefore, we aim to develop a user-friendly web-based platform that integrates Loughborough’s in-house High-Performance Integrated hydrodynamic Modelling System (HiPIMS) [2], with various high-quality open-source datasets covering exposure and vulnerability to buildings, infrastructure, and people.
Consequently, the platform not only functions as a web service for high-performance flood simulations but also serves as a data and analytics portal, providing a comprehensive, one-stop solution for flood risk assessment to support practical flood risk management in both data-rich and scarce environments.
Methodology
This exciting PhD project aims to harness the latest developments in high-performance numerical models and data analytics technologies to address some of the key practical challenges in flood modelling and risk management, and finally achieve a web-based platform for large-scale rapid flood risk assessment to improve current practice.
The project will deliver the following key research tasks:
- Develop a user-friendly graphical interface (GUI) based on the JavaScript library ReactJs, in which the HiPIMS can be completely set up, run, and analysed in a standard web browser. HiPIMS computations can be executed on local GPUs or through cloud-based GPU services, empowering users to conduct large-scale fast flood simulations without worrying about computational resources.
- Collect a variety of spatial datasets related to exposure and vulnerability and present them in a standardized format in the platform, enabling users to access and analyse the datasets easily and effectively.
- Streamline the object-based flood risk evaluation by seamlessly integrating HiPIMS hazard results with exposure and vulnerability datasets to assess flood impact and risk on individual buildings and objects.
- Demonstrate the platform for practical flood risk assessment in a selected case study site.
Supervisors
Primary Supervisor: Huili Chen
Secondary supervisor: Qiuhua Liang
Entry requirements
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the drop-down below.
Entry requirements for United Kingdom
Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject such as geography, economics, or engineering. A relevant master’s degree and/or experience is desirable.
EU and Overseas applicants should achieve an IELTS score of 6.5 with at least 6.0 in each competency.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
Additional information
Studentship type – UKRI through Flood-CDT.
The studentship is for 3.5 years and provides a tax-free stipend of £19,237 per annum plus tuition fees at the UK rate. Excellent International candidates are eligible for a full international fee waiver however due to UKRI funding rules, no more than 30% of the studentships funded by this grant can be awarded to International candidates.
How to apply
All applications should be made online.
Under programme name, select Architecture, Building and Civil Engineering. Please quote the advertised reference number: FCDT-25-LU8 in your application. This PhD is being advertised as part of the Centre for Doctoral Training for Resilient Flood Futures (FLOOD-CDT). Further details about FLOOD-CDT can be found here. Please note, that your application will be assessed upon:
- Motivation and Career Aspirations;
- Potential & Intellectual Excellence;
- Suitability for specific project and
- Fit to FLOOD-CDT.
So please familiarise yourselves with FLOOD-CDT before applying. During the application process candidates will need to upload:
- a one-page statement of your research interests in flooding and FLOOD-CDT and your rationale for your choice of project
- a curriculum vitae giving details of your academic record and stating your research interests
- academic transcripts and degree certificates (translated if not in English)
- a IELTS/TOEFL certificate, if applicable.
You are encouraged to contact potential supervisors by email to discuss project specific aspects of the proposed prior to submitting your application. If you have any general questions, please contact floodcdt@soton.ac.uk.
