Mechanisms of inertinite enrichment in Jurassic coals: Insights from a Big Data-driven review

IF 10.8 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jiamin Zhou , Longyi Shao , Timothy P. Jones , Yangyang Huang , Mengran Chen , Haihai Hou , Jing Lu , Jason Hilton
{"title":"Mechanisms of inertinite enrichment in Jurassic coals: Insights from a Big Data-driven review","authors":"Jiamin Zhou ,&nbsp;Longyi Shao ,&nbsp;Timothy P. Jones ,&nbsp;Yangyang Huang ,&nbsp;Mengran Chen ,&nbsp;Haihai Hou ,&nbsp;Jing Lu ,&nbsp;Jason Hilton","doi":"10.1016/j.earscirev.2024.104889","DOIUrl":null,"url":null,"abstract":"<div><p>Big Data-driven research is thriving in the geosciences, with initiatives such as The Deep-Time Digital Earth (DDE) program (<span><span>https://deep-time.org/</span><svg><path></path></svg></span>), which is a “big science program” by the International Union of Geological Sciences (IUGS). Northern and northwestern Chinese environments produced a significant number of typically inertinite-rich coals during the Jurassic, which have been extensively researched and represent a high-quality subject for Big Data-driven studies. Inertinite in coals are widely accepted and applied as direct evidence of palaeowildfire with important palaeoclimatic significance, but the enrichment mechanism of inertinite in Jurassic coals have not yet been comprehensively understood. In this research, Big Data methodology and thinking were used to collect 1298 sources of information with inertinite content, and to reconstruct the palaeogeographic distributions of that inertinite. In addition, &gt;300 datasets on polycyclic aromatic hydrocarbons (PAHs) and inertinite reflectance were collected. Based on these data and in combination with palaeoclimatic databases, two enrichment mechanisms for the high levels of inertinite are proposed. The results show that Jurassic coals in China are significantly enriched in inertinite compared to coals in the rest of the world, with an average inertinite content of 18.9% in the Early Jurassic and up to 36.8% in the Middle Jurassic. Combustion-sourced PAHs are widespread in Jurassic coal seams in different basins and are dominated by 4-ring and 5-ring PAHs. Both coal petrology and PAHs characteristics are indicative of a wildfire origin for inertinite, and the inertinite reflectances suggest that the palaeowildfire types were mainly low-temperature fires. It is proposed that the abundant inertinites in Jurassic coals were formed as the result of the multi-factorial coupling of palaeoflora, palaeoclimates, and palaeoenvironmental evolution. The enrichment models for the inertinite in the Early-Middle Jurassic coals indicate that these inertinites were mainly formed during periods of more obvious seasonal contrasts. Based on analysis from a Big Data review of inertinite concentrations in coals, a quantitative classification criterion is proposed to define those with &gt;30% inertinite as “inertinite-rich coal”, and those with &gt;50% inertinite as “inertinite coal”.</p></div>","PeriodicalId":11483,"journal":{"name":"Earth-Science Reviews","volume":"257 ","pages":"Article 104889"},"PeriodicalIF":10.8000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth-Science Reviews","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0012825224002162","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Big Data-driven research is thriving in the geosciences, with initiatives such as The Deep-Time Digital Earth (DDE) program (https://deep-time.org/), which is a “big science program” by the International Union of Geological Sciences (IUGS). Northern and northwestern Chinese environments produced a significant number of typically inertinite-rich coals during the Jurassic, which have been extensively researched and represent a high-quality subject for Big Data-driven studies. Inertinite in coals are widely accepted and applied as direct evidence of palaeowildfire with important palaeoclimatic significance, but the enrichment mechanism of inertinite in Jurassic coals have not yet been comprehensively understood. In this research, Big Data methodology and thinking were used to collect 1298 sources of information with inertinite content, and to reconstruct the palaeogeographic distributions of that inertinite. In addition, >300 datasets on polycyclic aromatic hydrocarbons (PAHs) and inertinite reflectance were collected. Based on these data and in combination with palaeoclimatic databases, two enrichment mechanisms for the high levels of inertinite are proposed. The results show that Jurassic coals in China are significantly enriched in inertinite compared to coals in the rest of the world, with an average inertinite content of 18.9% in the Early Jurassic and up to 36.8% in the Middle Jurassic. Combustion-sourced PAHs are widespread in Jurassic coal seams in different basins and are dominated by 4-ring and 5-ring PAHs. Both coal petrology and PAHs characteristics are indicative of a wildfire origin for inertinite, and the inertinite reflectances suggest that the palaeowildfire types were mainly low-temperature fires. It is proposed that the abundant inertinites in Jurassic coals were formed as the result of the multi-factorial coupling of palaeoflora, palaeoclimates, and palaeoenvironmental evolution. The enrichment models for the inertinite in the Early-Middle Jurassic coals indicate that these inertinites were mainly formed during periods of more obvious seasonal contrasts. Based on analysis from a Big Data review of inertinite concentrations in coals, a quantitative classification criterion is proposed to define those with >30% inertinite as “inertinite-rich coal”, and those with >50% inertinite as “inertinite coal”.

侏罗纪煤中惰性物质富集的机制:大数据驱动的综述带来的启示
大数据驱动的研究在地球科学领域蓬勃发展,例如国际地质科学联合会(IUGS)的 "大科学计划"--深部时间数字地球(DDE)计划(https://deep-time.org/)。中国北部和西北部环境在侏罗纪时期产生了大量典型的富含惰性石灰岩的煤炭,这些煤炭已被广泛研究,是大数据驱动研究的优质课题。煤炭中的惰性气体作为古野火的直接证据被广泛接受和应用,具有重要的古气候意义,但侏罗纪煤炭中惰性气体的富集机制尚未得到全面认识。本研究利用大数据方法和思维,收集了1298个含有惰性元素的信息源,并重建了这些惰性元素的古地理分布。此外,还收集了 300 个多环芳烃(PAHs)和惰性石英反射率数据集。根据这些数据并结合古气候数据库,提出了惰性物质含量高的两种富集机制。结果表明,与世界其他地区的煤炭相比,中国侏罗纪煤炭中的惰性石灰明显富集,早侏罗世的平均惰性石灰含量为18.9%,中侏罗世高达36.8%。燃烧产生的多环芳烃广泛存在于不同盆地的侏罗纪煤层中,并以 4 环和 5 环多环芳烃为主。煤岩相学和多环芳烃特征都表明惰性石灰岩来源于野火,惰性石灰岩的反射率表明古野火类型主要是低温火灾。研究认为,侏罗纪煤炭中丰富的惰性石英是古植物、古气候和古环境演化等多因素耦合作用的结果。侏罗纪早中期煤炭中惰性岩的富集模型表明,这些惰性岩主要形成于季节对比较为明显的时期。基于对煤中惰性元素含量的大数据分析,提出了一种定量分类标准,将惰性元素含量为30%的煤定义为 "富惰性煤",惰性元素含量为50%的煤定义为 "惰性煤"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Earth-Science Reviews
Earth-Science Reviews 地学-地球科学综合
CiteScore
21.70
自引率
5.80%
发文量
294
审稿时长
15.1 weeks
期刊介绍: Covering a much wider field than the usual specialist journals, Earth Science Reviews publishes review articles dealing with all aspects of Earth Sciences, and is an important vehicle for allowing readers to see their particular interest related to the Earth Sciences as a whole.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信