Many proposed management actions undertaken to reduce catchment sediment and nitrogen loads are designed to slow water down and protect riverbanks and gullies from erosion. These actions also have potential beneficial impacts on flooding. Using a case study of the flood-prone Laidley catchment in Queensland, Australia, we complemented results from a Multi Objective Simulated Annealing (MOSA) model for nitrogen and sediment management actions, with a process-based model to predict the flood impacts of potential catchment rehabilitation solutions. The development of the flood model in the pilot catchment involved the collection of data sets related to catchment topography, rainfall, and land use. Using these datasets, a ‘Rain on Grid’ flood model of the Laidley Creek catchment and hydrological network was built using the Tuflow HPC software package. This model was calibrated and validated with data collected for a 2011 flood event. The modelled water level and discharge compared well with records at the Laidley Creek at Mulgowie gauge during the 2011 flood event (Figure 31). Catchment rehabilitation solutions identified by MOSA to reduce particulate sediment and nitrogen loads from the catchment would have benefit the township of Laidley, reducing flood levels by at least 10 cm and delaying the flood peak by approximately one hour. Some scenarios would extend the duration of flooding in sections of the catchment adjacent to, and upstream of, Mulgowie. Rain-on-grid model outputs such as water depths, velocities, stream power, and bed shear stress have been visualised to demonstrate to stakeholders and decision makers the catchment-scale benefits from on-ground management actions.