A study on geological structure prediction based on random forest method

Zhen Chen , Qingsong Wu , Sipeng Han , Jungui Zhang , Peng Yang , Xingwu Liu
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引用次数: 1

Abstract

The Xingmeng orogenic belt is located in the eastern section of the Central Asian orogenic belt, which is one of the key areas to study the formation and evolution of the Central Asian orogenic belt. At present, there is a huge controversy over the closure time of the Paleo-Asian Ocean in the Xingmeng orogenic belt. One of the reasons is that the genetic tectonic setting of the Carboniferous volcanic rocks is not clear. Due to the diversity of volcanic rock geochemical characteristics and its related interpretations, there are two different views on the tectonic setting of Carboniferous volcanic rocks in the Xingmeng orogenic belt: island arc and continental rift. In recent years, it is one of the important development directions in the application of geological big data technology to analyze geochemical data based on machine learning methods and further infer the tectonic background of basalt. This paper systematically collects Carboniferous basic rock data from Dongwuqi area of Inner Mongolia, Keyouzhongqi area of Inner Mongolia and Beishan area in the southern section of the Central Asian Orogenic Belt. Random forest algorithm is used for training sets of major elements and trace elements in global island arc basalt and rift basalt, and then the trained model is used to predict the tectonic setting of the Carboniferous magmatic rock samples in the Xingmeng orogenic belt. The prediction results shows that the island arc probability of most of the research samples is between 0.65 and 1, which indicates that the island arc tectonic setting is more credible. In this paper, it is concluded that magmatism in the Beishan area of the southern part of the Central Asian Orogenic belt in the Early Carboniferous may have formed in the heyday of subduction, while the Xingmeng orogenic belt in the Late Carboniferous may have been in the late subduction stage to the collision or even the early rifting stage. This temporal and spatial evolution shows that the subduction of the Paleo-Asian Ocean is different from west to east. Therefore, the research results of this paper show that the subduction of the Xingmeng orogenic belt in the Carboniferous has not ended yet.

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基于随机森林方法的地质构造预测研究
兴蒙造山带位于中亚造山带东段,是研究中亚造山带形成演化的重点地区之一。目前,关于兴蒙造山带古亚洲洋的闭合时间存在着巨大的争议。原因之一是石炭系火山岩的成因构造背景不明确。由于火山岩地球化学特征及其解释的多样性,对兴蒙造山带石炭系火山岩的构造背景有岛弧和大陆裂谷两种不同的认识。基于机器学习方法分析地球化学数据,进而推断玄武岩构造背景,是近年来应用地质大数据技术的重要发展方向之一。本文系统收集了中亚造山带南段内蒙古东吴旗地区、内蒙古可游中旗地区和北山地区石炭系基性岩资料。采用随机森林算法对全球岛弧玄武岩和裂谷玄武岩的主元素和微量元素进行训练集,并利用训练模型预测兴蒙造山带石炭系岩浆岩样品的构造背景。预测结果表明,大部分研究样本的岛弧概率在0.65 ~ 1之间,表明岛弧构造背景较为可信。本文认为,早石炭世中亚造山带南段北山地区的岩浆活动可能形成于俯冲全盛时期,而晚石炭世兴蒙造山带的岩浆活动则可能处于俯冲晚期至碰撞甚至早裂陷阶段。这种时空演化表明,古亚洲洋俯冲作用自西向东是不同的。因此,本文的研究结果表明,石炭系兴蒙造山带的俯冲作用尚未结束。
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