Development of a consistent thermodynamic model of trace element - organic matter interactions in the Ocean.
开发海洋中微量元素-有机物相互作用的一致热力学模型。
基本信息
- 批准号:393829236
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2018
- 资助国家:德国
- 起止时间:2017-12-31 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Trace elements can limit productivity in the ocean, and thus influence the amount of carbon dioxide that marine phytoplankton remove from the atmosphere. The most critical trace element for phytoplankton growth is iron, which limits productivity in approximately 30 % of the worlds' ocean. Progress with respect to incorporation of iron into biogeochemical models and climate models is required, in order to account for its influence on the impact of carbon dioxide on the earths' climate. Incorporation of iron into biogeochemical and climate models needs to be underpinned by a fundamental understanding of the chemistry of iron in seawater, since iron chemistry is affected by ocean pH, temperature and the concentration of dissolved organic carbon. Organic matter is known to have a major influence on iron chemistry, but interactions between iron and organic matter are currently described in a simplistic way that do not relate to fundamental principles. In this project we propose to parameterise the chemistry of iron in seawater using state of the art approaches that realistically represent the complexity of organic matter and the way organic matter interacts with iron and other trace elements in the marine environment. Importantly our approach adopts the NICA model - a model that is grounded in thermodynamic theory and has been tried and tested in fresh water aquatic environments. We hypothesise that use of the NICA model for interpretation of iron chemistry in seawater will improve our ability to link iron chemistry to the behaviour of dissolved organic carbon and ocean acidity. Our objectives are to determine the parameters required to apply the NICA model in seawater. We will apply the model to conditions observed in the plume of the River Amazon which constitutes the largest riverine input to the ocean. Our approach will allow us to examine the role that organic matter and pH play in the offshore transportation of iron, thereby improving our understanding of the factors that control riverine fluxes of iron to the ocean.
微量元素会限制海洋的生产力,从而影响海洋浮游植物从大气中清除的二氧化碳的数量。对浮游植物生长最关键的微量元素是铁,它限制了世界上大约30%的海洋的生产力。需要在将铁纳入生物地球化学模型和气候模型方面取得进展,以说明其对二氧化碳对地球气候的影响。将铁纳入生物地球化学和气候模型需要建立在对海水中铁的化学的基本了解的基础上,因为铁的化学受海洋pH值、温度和溶解有机碳浓度的影响。众所周知,有机质对铁化学有重大影响,但目前对铁和有机物之间的相互作用的描述过于简单化,与基本原理无关。在这个项目中,我们建议使用最先进的方法来对海水中铁的化学进行参数化,这些方法真实地表示了有机物的复杂性,以及有机物与海洋环境中的铁和其他微量元素相互作用的方式。重要的是,我们的方法采用了NICA模型,该模型以热力学理论为基础,并已在淡水水环境中进行了试验和测试。我们假设,使用NICA模型解释海水中的铁化学将提高我们将铁化学与溶解有机碳的行为和海洋酸度联系起来的能力。我们的目标是确定在海水中应用NICA模型所需的参数。我们将把该模型应用于在亚马逊河羽流中观察到的条件,亚马逊河是向海洋输入的最大河流。我们的方法将使我们能够研究有机物和pH值在铁的近海运输中所起的作用,从而提高我们对控制河流中铁流入海洋的因素的理解。
项目成果
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