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滇东北镇雄西部栖霞-茅口组碳酸盐岩地球化学特征及环境意义
  • ISSN号:1006-6616
  • 期刊名称:《地质力学学报》
  • 时间:0
  • 分类:P595[天文地球—地球化学;天文地球—地质学]
  • 作者机构:中国地质科学院岩溶地质研究所,桂林541004
  • 相关基金:中国地质科学院岩溶地质研究所基本科研业务费项目(No.2015015);中国地质调查局地质调查项目(12120114042601DD20160061)
中文摘要:

镇雄县安家坝一带中二叠统栖霞组一茅口组地层出露较好,沉积连续.以此剖面为基础, 连续采集碳酸盐岩样品42个,根据其显微特征、元素相关性、元素组份含量及相关元素的比值 特征,探讨了研究区碳酸盐岩沉积地球化学特征与古环境意义.研究表明(1)样品中CaO与 ?02、MgO呈现出比较明显的负相关关系,且后两者在岩石中的含量很低,说明样品在沉积和成 岩过程中受陆源物质影响或改造的程度较小.(2)通过对元素含量以及相关元素比值的垂向分 布特征分析,如 Sr/Ba、MgO/CaO和 V/V + Ni等,对不同沉积阶段进行了古水深和古氧相等方 面的研究,数据表明茅口组沉积环境相比栖霞组具有较明显的差异.

英文摘要:

Qixia-Maokou Formation in Middle Permain , in Anjiaba of Zhenxiong County, is well outcropped and continuously deposited. Making this section as the research object, collecting 42 samples of carbonate rocks , based on the microscopic characteristics , the elements correlation , the elements content as well as the ratio characteristics of the related elements, the geochemical characteristics and the paleo environmental significance of the carbonate rocks in the study area were discussed. Some conclusions have been drawn. Firstly there are obvious negative correlations between CaO and Si0 2, MgO in the rock samples, and the contents of the latter two in rocks are rather low, which both indicate that the samples are less affected and transformed by the terrigenous material in the process of deposition and diagenesis. Secondly, based on the analysis of the element contents and the vertical distribution characteristics of the relevant elements ratios , such as Sr/ Ba, MgO/CaO and Y/Y + Ni etc, and the study of the paleo-water depth and the paleo-oxygenation facies in different sedimentary stages , the data show that compared with Qixia Formation, the sedimentary environment of Maokou Formation has obvious difference.

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期刊信息
  • 《地质力学学报》
  • 中国科技核心期刊
  • 主管单位:国土资源部
  • 主办单位:中国地质科学院地质力学研究所
  • 主编:龙长兴
  • 地址:北京市海淀区民族大学南路11号地质力学研究所
  • 邮编:100081
  • 邮箱:dzlx@vip.163.com
  • 电话:010-68422368
  • 国际标准刊号:ISSN:1006-6616
  • 国内统一刊号:ISSN:11-3672/P
  • 邮发代号:
  • 获奖情况:
  • 科情所核心期刊
  • 国内外数据库收录:
  • 美国地质文献预评数据库,中国中国科技核心期刊,中国北大核心期刊(2014版)
  • 被引量:5618