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We present a novel approach for the simulation of the impacts of finfish aquaculture on\udsedimentary redox dynamics, based on the coupling of a fish farm waste deposition model (DEPOMOD)\udand a knowledge-based reactive transport model (RTM) of early diagenesis. The integrated\udmodel was applied to a salmon fish farm located in a Scottish fjordic sealoch. The major diagenetic\udprocesses of the reaction network were first identified on the basis of literature information and historic\uddata. Next, the organic carbon (OC) flux at a pristine site near the farm was estimated by fitting\udthe vertical profiles of pore water and solid-state chemical species measured in the field. DEPOMOD\udwas then used to predict the fluxes of OC due to the release of uneaten feed and faeces at various distances\udaway from the farm. These fluxes were added to the background ‘natural’ fluxes and used as\udforcing functions for the RTM. Comparison of the simulated transient profiles with data collected at\udan impacted site revealed that the RTM model satisfactorily predicted the transient dynamics of the\udsystem. We discuss the use of the model for cost-effective environmental impact assessments, site\udselection and the optimization of husbandry practices

Modelling the impact of aquaculture on early diagenetic processes in sea loch sediments