Estimating the benthic additionality loss of coastal ocean alkalinity enhancement deployments
编号:1394 访问权限:仅限参会人 更新:2026-09-01 00:15:59 浏览:0次 口头报告

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摘要
Ocean alkalinity enhancement (OAE) promotes the oceanic uptake of atmospheric CO2 by deliberately altering the marine carbonate system to lower the pCO2 of seawater. However, perturbing the carbonate system also alters natural sediment alkalinity cycling. Consequently, some of the added alkalinity may replace naturally generated alkalinity, reducing the additionality of OAE. The feedbacks between OAE and sediment alkalinity cycling are poorly constrained but are critical for evaluating the effectiveness of OAE and conducting monitoring, reporting, and verification (MRV) activities. To address this, we used a 1D early diagenetic coastal sediment model to evaluate how changes in the alkalinity of the overlying water affect benthic alkalinity fluxes across a range of sediment types. We fit response functions to the modelled changes in benthic alkalinity fluxes that describe their sensitivity to changes in overlying seawater alkalinity. Combined with a residence time model that predicts the alkalinity perturbation generated by an OAE deployment based on its magnitude and deployment location, these response functions provide rapid estimates of benthic additionality losses across diverse OAE scenarios without requiring computationally intensive simulations. Additionality losses were greatest when OAE produced large and persistent increases in seawater alkalinity over sediments that naturally sustained high rates of carbonate mineral dissolution. Such conditions occurred where substantial alkalinity additions coincided with low-volume or long-residence-time systems and well oxygenated sediments that experienced high particulate inorganic and organic carbon fluxes. This work serves as a practical screening tool, enabling practitioners to rapidly estimate benthic additionality losses and associated uncertainties and determine if they can be neglected, or if site-specific sediment modelling is required.
 
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报告人
Max Rintoul
Postdoctoral Researc University of Tasmania

稿件作者
Max Rintoul University of Tasmania
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重要日期
  • 会议日期

    01月12日

    2027

    01月15日

    2027

  • 07月21日 2026

    初稿截稿日期

  • 01月15日 2027

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University (MEL)
Department of Earth Sciences, National Natural Science Foundation of China (NSFC)
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