A novel Eulerian model based on central moments to simulate age and reactivity continua interacting with mixing processes

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
J. Rooze, Heewon Jung, Hagen Radtke
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引用次数: 0

Abstract

Abstract. In geoscientific models, simulating the properties associated with particles in a continuum can serve many scientific purposes, and this has commonly been addressed using Lagrangian models. As an alternative approach, we present an Eulerian method here: diffusion–advection–reaction type partial differential equations are derived for centralized moments, which can describe the distribution of properties associated with chemicals in reaction–transport models. When the property is age, the equations for centralized moments (unlike non-central moments) do not require terms to account for aging, making this method suitable for modeling age tracers. The properties described by the distributions may also represent kinetic variables affecting reaction rates. In practical applications, continuous distributions of ages and reactivities are resolved to simulate organic matter mineralization in surficial sediments, where macrofaunal and physical mixing processes typically dominate transport. In test simulations, mixing emerged as the predominant factor shaping reactivity and age distributions. Furthermore, the applications showcase the method's aptitude for modeling continua in mixed environments while also highlighting practical considerations and challenges.
基于中心矩的新型欧拉模型模拟与混合过程相互作用的年龄和反应性连续体
摘要。在地球科学模型中,模拟连续体中与粒子相关的性质可以服务于许多科学目的,这通常使用拉格朗日模型来解决。作为一种替代方法,我们在这里提出了一种欧拉方法:导出了集中力矩的扩散-平流-反应型偏微分方程,它可以描述反应-输运模型中与化学物质相关的性质的分布。当属性为年龄时,集中矩的方程(与非中心矩不同)不需要考虑年龄的项,使得该方法适合年龄追踪器的建模。分布所描述的性质也可以表示影响反应速率的动力学变量。在实际应用中,解决了年龄和反应性的连续分布,以模拟表层沉积物中的有机质矿化,其中大型动物和物理混合过程通常主导运输。在试验模拟中,混合成为影响反应性和年龄分布的主要因素。此外,应用程序展示了该方法在混合环境中建模连续体的能力,同时也突出了实际考虑和挑战。
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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