基于数据科学方法的岩石行星地幔储水能力的研究:地球、火星和系外行星  

A data science approach to study the water storage capacity in rocky planet mantles:Earth,Mars and exoplanets

作　　者：董俊杰 DONG Jun-jie(Department of Earth and Planetary Sciences,Harvard University,Cambridge,Massachusetts 02138,USA;Department of the History of Science,Harvard University,Cambridge,Massachusetts 02138,USA)

机构地区：[1]哈佛大学地球与行星科学系,马萨诸塞州坎布里奇02138 [2]哈佛大学科学史系,马萨诸塞州坎布里奇02138

出　　处：《矿物岩石地球化学通报》2023年第2期275-288,I0003,共15页Bulletin of Mineralogy, Petrology and Geochemistry

基　　金：美国哈佛大学文理研究生院(GSAS)James Mills Peirce奖学金资助。

摘　　要：名义无水矿物(NAMs)是岩石行星地幔中水的主要载体,研究地幔中主要NAMs的水溶解度可以帮助我们估测岩石行星地幔理论上的储水能力,并间接约束其内部的实际含水量。通过统计和统计学习算法等数据科学方法,本文旨在介绍并总结前人对地球、火星和系外行星地幔储水能力的模拟研究工作。本文首先回顾了岩石行星地幔储水能力的热力学理论模型;然后围绕地球和火星的两个实例研究,探讨了如何使用包括稳健回归拟合、蒙特卡罗方法和自助聚集算法等方法,把原子尺度的水溶解度实验数据点和其测量误差转化成行星尺度的储水能力模型;接着介绍了系外行星观测的大样本数据是如何帮助我们理解系外岩石行星储水能力的统计学性质;最后讨论了数据科学方法在矿物物理学研究中的局限性,并对如何更好地将统计及统计学习算法与矿物物理数据研究相结合作出展望。Nominally anhydrous minerals(NAMs)are the primary carriers of water in rocky planet mantles.Therefore,studying water solubilities of major NAMs in the mantle can help us estimate the water storage capacities of rocky planet mantles and indirectly constrain the actual water contents of their interiors.By using the data science methods such as sta-tistics and statistical learning algorithms,in this paper,current modeling studies on the mantle water storage capacities of Earth,Mars,and exoplanets have been especially introduced and summarized.Firstly,the thermodynamic model for man-tle water storage capacity has been reviewed.Then,based on the two case studies on Earth and Mars,how to translate a-tomic-scale experimental data of water solubility and their measurement errors into planetary-scale models of mantle water storage capacity has been explored by using the robust regression,Monte Carlo methods,and bootstrap aggregation algo-rithms.Thirdly,how the large sample data from the exoplanet observational campaigns can help us understand the statisti-cal properties of their mantle water storage capacities of rocky exoplanets has been introduced.Finally,the application limitations of data science methods in mineral physics research have been discussed,and how to better combine statistics and statistical algorithms with mineral physics data research has been prospected.

关 键 词：名义无水矿物(NAMs) 深部水循环 矿物物理学 热力学 行星科学 数据科学 

分 类 号：P691[天文地球—地质学]