山东地区中生代岩浆岩中放射性元素富集规律及其对大地热流异常的指示意义
Enrichment law of radioactive elements in Mesozoic magmatic rocks in Shandong and its implication for anomaly of terrestrial heat flow
陈勇 1朱雪蕾 1李伟 2周瑶琪1
作者信息
- 1. 深层油气全国重点实验室(中国石油大学(华东)),山东青岛 266580;中国石油大学(华东)地球科学与技术学院,山东青岛 266580
- 2. 山东能源集团有限公司,山东济南 250101
- 折叠
摘要
为进一步了解岩浆岩中放射性元素富集与大地热流异常的相关性,以山东地区中生代岩浆岩为研究对象,从岩石类型、元素含量、岩石形成年龄、放射性生热元素Th、U丰度、大地热流等方面进行分析.结果表明:区内正长岩Th、U丰度最高,酸性岩和碱性岩的Th、U含量相对较高;Th、U元素与Si、K元素含量存在正相关,与Fe、Mg等其他主量元素存在负相关,与Nb、Ta、Pb及稀土元素也存在较为明显的正相关;放射性元素丰度与大地热流存在一定的正相关,但还受到地壳厚度等多种因素的影响;研究进一步揭示放射性元素、岩浆岩及地热之间的关系,对山东地区地热资源的开发和利用具有一定借鉴意义.
Abstract
In this study,an investigation was conducted to better comprehend the relationship between the concentration of radioactive elements in magmatic rocks and anomalies in terrestrial heat flow.The research focuses on Mesozoic magmatic rocks in Shandong province,analyzing various aspects including rock type,element content,rock formation age,abundance of radioactive thermogenic elements such as Thorium(Th)and Uranium(U),and terrestrial heat flow.The findings indi-cate that syenite exhibits the highest concentration of Th and U elements,while acid and alkaline rocks also display relatively elevated level of these elements.Th and U elements are positively correlated with Silicon(Si)and Potassium(K)elements,but negatively correlated with major elements such as Fe and Mg.Additionally,there is a positive correlation observed with Nb,Ta,Pb,and rare earth elements.Moreover,a certain relationship is established between the abundance of radioactive elements and terrestrial heat flow,but this relationship is also influenced by various factors,including the crustal thickness.This study further reveals the relationship among radioactive elements,magmatic rocks,and geothermal energy.It serves as a valuable reference for the development and utilization of geothermal resources within Shandong province.
关键词
山东地区/中生代/岩浆岩/放射性元素/大地热流Key words
Shandong province/Mesozoic/magmatic rock/radioactive elements/terrestrial heat flow引用本文复制引用
基金项目
山东能源集团深层高温地热重大科技项目(SNKJ2022A06-R23)
山东省重大创新工程项目(2017CXGC1602)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据