Spatial optimisation of catchment-scale natural flood management strategies

Funder	Natural Environment Research Council
Recipient Organization	Newcastle University
Country	United Kingdom
Start Date	Sep 15, 2024
End Date	Mar 15, 2028
Duration	1,277 days
Number of Grantees	2
Roles	Student; Supervisor
Data Source	UKRI Gateway to Research
Grant ID	`2925735`

Grant Description

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.