首页|Inertinite in coal and its geoenvironmental significance:Insights from AI and big data analysis

Inertinite in coal and its geoenvironmental significance:Insights from AI and big data analysis

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Inertinite,as an important and abundant maceral group in coal,is critical for the study of palaeowildfires and their roles in the Earth's ecosystems.Recently,there has been a significant amount of research on the relationship between palaeo-wildfire,palaeoclimate change and palaeovegetation evolution based on inertinite data.The reflectance of fusinite and semi-fusinite has been used to estimate the combustion temperature and type of palaeowildfires,and then to evaluate the combustion characteristics of different types of palaeowildfires.The relative abundance of inertinite can be used to estimate the atmospheric oxygen contents.The rapid development of artificial intelligence(AI)and online tools to search scientific databases has presented an opportunity for us to find,collect,arrange,and analyse data from the earliest to latest publications on inertinite.The data extraction tool Deep Shovel is used to collect and analyse global inertinite data from the Silurian to the Neogene.The software programs such as Gplates,ArcGIS pro and Tableau are then applied to model the relative abundance of inertinite over geological time,which can be correlated with other parameters such as atmospheric oxygen contents,plant evolution and palaeoclimate changes.The distribution of inertinite in coals varied over different geological periods,being typified by the"high inertinite content-high atmospheric oxygen level"period in the Permian and the"low inertinite content-low atmospheric oxygen level"period in the Cenozoic.This study has proposed a possible model of the positive and negative feedbacks between inertinite characteristics and palaeoenvironmental factors,and has revealed the exceptional role of inertinite in palaeoenvironmental studies.Future research on inertinite will be focused on the integrated study of organic petrology and organic geochemistry of inertinite,the big data-driven research on the temporal and spatial distribution of the global inertinite,the exploration of the functions of palaeowildfires in the Earth systems in different climatic backgrounds,and the study of modem wildfires to better predict the future frequency and intensity of wildfires due to climate changes.

InertinitePalaeowildfiresAtmospheric oxygenPalaeoclimatesPalaeoecosystems

Longyi SHAO、Jiamin ZHOU、Timothy P.JONES、Fanghui HUA、Xiaotao XU、Zhiming YAN、Haihai HOU、Dongdong WANG、Jing LU

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State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources and College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China

School of Earth and Environmental Sciences,Cardiff University,Cardiff CF10 3YE,Wales,England

General Prospecting Institute of China National Administration of Coal Geology,Beijing 100039,China

Institute of Architectural Engineering,Weifang University,Weifang 261061,China

College of Mining,Liaoning Technical University,Fuxin 123000,China

College of Earth Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaDeeptime Digital Earth(DDE)Big Science Program

4232100241572090

2024

10.1007/s11430-023-1325-5

中国科学:地球科学(英文版)
中国科学院

中国科学:地球科学(英文版)

影响因子：1.002
ISSN：1674-7313
年,卷(期)：2024.67(6)