Spatial optimisation of catchment-scale natural flood management strategies
Lead Research Organisation:
Newcastle University
Department Name: Sch of Engineering
Abstract
This project aims to use the latest hydrological and hydrodynamic models with multi-objective optimisation genetic algorithms (GA) to approximate the Pareto-optimal set of NFM trade-offs. The aim is to then create a transfer learning model to reapply the Pareto set for different catchments, using just remote sensing and hydrological input data. The transfer model will be benchmarked against the GA and industrial NFM suitability tools.
Organisations
People |
ORCID iD |
| Henry Rong (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| NE/Y006364/1 | 30/09/2024 | 29/09/2030 | |||
| 2925735 | Studentship | NE/Y006364/1 | 15/09/2024 | 15/03/2028 | Henry Rong |