SedTrace 1.0:一个基于julia的框架,用于生成和运行海洋沉积物成岩反应输运模型,专门研究微量元素和同位素

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jianghui Du
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引用次数: 0

摘要

摘要微量元素和同位素(TEIs)是研究海洋生物地球化学的重要工具。了解它们的现代海洋收支,并利用它们的沉积记录来重建古海洋条件,需要对tei的成岩作用有一个机械的了解,然而缺乏适当的建模工具限制了我们进行此类研究的能力。在这里,我介绍SedTrace,这是一个建模框架,可用于生成反应输运代码,用于模拟海洋沉积物成岩作用,并协助使用Julia中的高级数值工具进行模型模拟。SedTrace通过提供灵活的pH值和物种形成建模工具,实现TEI的机理建模,这对于研究TEI成岩作用至关重要。SedTrace的设计是为了解决成岩模型用户面临的一个特殊挑战:现有模型通常是针对具体情况的,不容易适应新问题,比如用户必须在修改已发布的代码和编写自己的代码之间做出选择,这两种情况都需要很强的编码技能。为了降低这个障碍,SedTrace可以生成成岩模型,只需要用户提供包含必要模型信息的Excel电子表格。生成的代码结构清晰易读,它与Julia的微分方程求解生态系统集成,利用自动微分、稀疏数值方法、牛顿-克雷洛夫解算器和预处理器等工具。这使得大型刚性成岩方程组的有效解成为可能。我通过模拟pH成岩作用以及TEIs的放射性成因和稳定同位素的案例研究来证明SedTrace的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SedTrace 1.0: a Julia-based framework for generating and running reactive-transport models of marine sediment diagenesis specializing in trace elements and isotopes
Abstract. Trace elements and isotopes (TEIs) are important tools in studying ocean biogeochemistry. Understanding their modern ocean budgets and using their sedimentary records to reconstruct paleoceanographic conditions require a mechanistic understanding of the diagenesis of TEIs, yet the lack of appropriate modeling tools has limited our ability to perform such research. Here I introduce SedTrace, a modeling framework that can be used to generate reactive-transport code for modeling marine sediment diagenesis and assist model simulation using advanced numerical tools in Julia. SedTrace enables mechanistic TEI modeling by providing flexible tools for pH and speciation modeling, which are essential in studying TEI diagenesis. SedTrace is designed to solve one particular challenge facing users of diagenetic models: existing models are usually case-specific and not easily adaptable for new problems such that the user has to choose between modifying published code and writing their own code, both of which demand strong coding skills. To lower this barrier, SedTrace can generate diagenetic models only requiring the user to supply Excel spreadsheets containing necessary model information. The resulting code is clearly structured and readable, and it is integrated with Julia's differential equation solving ecosystems, utilizing tools such as automatic differentiation, sparse numerical methods, Newton–Krylov solvers and preconditioners. This allows efficient solution of large systems of stiff diagenetic equations. I demonstrate the capacity of SedTrace using case studies of modeling the diagenesis of pH as well as radiogenic and stable isotopes of TEIs.
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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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