- School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom (h.rong3@newcastle.ac.uk)
Whilst there is an ever-growing evidence base, much guidance remains qualitative and further upscaling of schemes from the plot scale to the catchment scale is hindered by funding and uncertainty in performance. A key area of uncertainty is the interplay between different NbS interventions and whether they may have positive or negative feedback on each other. This has motivated further research into modelling and systematically exploring trade-offs across a large design space of different intervention options, and evaluating their effectiveness against multiple stakeholder objectives.
Even for a small catchment, evaluating all possible combinations is intractable, so the model is incorporated into a multi-objective optimisation framework for decision support. This research uses a genetic algorithm to explore intervention parameters and placement, and then simulates the performance for different intervention arrangements with a physically-based hydrological model to capture vertical as well as lateral surface flows. This seeks to form the basis for a catchment-scale planning tool which allows catchment stakeholders to interrogate the details between alternative strategies and evaluate if high-level needs are being met. A case study in the Wansbeck catchment will be presented, quantifying trade-offs between attenuating peak flow, habitat creation, carbon sequestration, and the cost of implementation.
How to cite: Rong, H., Dawson, R., and Hewett, C.: Spatial Multi-Objective Optimisation of Catchment-Scale Nature-based Solutions Strategies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4227, https://doi.org/10.5194/egusphere-egu26-4227, 2026.