Preprints
https://doi.org/10.5194/egusphere-2026-3576
https://doi.org/10.5194/egusphere-2026-3576
31 Jul 2026
 | 31 Jul 2026
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

Drivers of early diagenesis in sediments surrounding offshore wind foundations; a coupled data-modelling approach

Emil De Borger, Karline Soetaert, Esther Cepeda Gamella, Arthur Capet, Jan Vanaverbeke, and Ulrike Braeckman

Abstract. Permeable sandy sediments are abundant on continental shelves, where they are increasingly recognized as major sites of intense organic matter mineralization. In offshore wind farms (OWFs), turbine-induced changes in hydrodynamics and organic matter inputs may modify these dynamic environments, yet the quantitative impact remains poorly constrained. Here, we present PermeableDia, a two-dimensional reactive transport model that explicitly resolves advective flows and apply it to data collected from sediments along a distance gradient (775 m) from the scour protection layer (SPL) of an offshore wind turbine in the Belgian Part of the North Sea across three seasons. The model adequately reproduces observed organic carbon and porewater nutrient profiles and reveals pronounced spatial gradients in carbon mineralization. Total mineralization rates were highest nearest to the turbine (up to ~176 mmol C m2 d1) and declined with distance. Oxic pathways dominated mineralization (5892 % of total), reflecting efficient oxygen supply via advective exchange, while anoxic mineralization increased near the turbine (up to 41 %) consistent with enhanced organic matter loading. Denitrification contributed only a minor fraction to total mineralization (1–4.5 %). By constraining the model with in situ observations, this data-driven approach enables the quantification of mineralization pathways in permeable sediments where direct rate measurements are challenging. The dynamic nature of mineralization processes in advective conditions indicates that observed biogeochemical impacts of offshore wind, such as increased carbon storage in surface sediments, are likely transient.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Biogeosciences.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Emil De Borger, Karline Soetaert, Esther Cepeda Gamella, Arthur Capet, Jan Vanaverbeke, and Ulrike Braeckman

Status: open (until 11 Sep 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Emil De Borger, Karline Soetaert, Esther Cepeda Gamella, Arthur Capet, Jan Vanaverbeke, and Ulrike Braeckman
Emil De Borger, Karline Soetaert, Esther Cepeda Gamella, Arthur Capet, Jan Vanaverbeke, and Ulrike Braeckman
Metrics will be available soon.
Latest update: 31 Jul 2026
Download
Short summary
We developed a new computer model to better understand how sandy seabed sediments process organic matter. Then, we used field measurements around an offshore wind turbine in the North Sea to guide model simulations. It showed that sediments closest to turbines receive more organic material throughout the year, that is efficiently processed. This modelling approach improves our ability to quantify seabed carbon cycling in dynamic coastal environments.
Share