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麦哲伦海山区维嘉平顶海山群富钴结壳伴生有用元素空间分布特征 被引量:3

The Spatial Distributions of the Associated Useful Elements in Co-rich Crusts from Weijia Guyots in Magellan Seamounts
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摘要 本文对麦哲伦海山区维嘉平顶海山群富钴结壳样品中的伴生有用元素(REE、PGE、W、Mo、Au、Te)的空间分布特征进行了研究。研究表明:富钴结壳伴生有用元素在平面上的分布极不均匀,但多以条带状平行水深等深线分布,也有少数区域表现为斑块状分布,且不同的伴生有用元素的富集区域有所差别;REE和PGE主要在南部和西南部斜坡发育,而W、Mo则主要富集于西北部和东部斜坡,Au集中发育在东南部的海斜坡上,Te的分布呈斑块状富集于各向斜坡。随着水深增加,REE和PGE呈现出由最高含量降低后逐渐升高的变化趋势,W、Mo、Au、Te则随着水深增加含量由低升高,后略有降低,再小幅升高的变化趋势。 Spatial distribution of associated useful elements (REE, PGE, W, Mo, Au, Te) in Co-rich Crusts from Weijia guyots in Magellan Seamounts is studied in this paper. The study shows that the distribution of associated useful elements is highly uneven in Weijia Guyots. But generally, distribution is paralleled to the water depth, except that a few areas show patch distribution. Enrichment areas of different associated useful elements are different. REE and PGE are enriched on the southern and southwestern slope, while W and Mo are enriched on the northwestern and eastern slope. Au is enriched on the southeastern slope. But the content of Te element is the same on each side of slopes. As the water depth increases, the content of REE and PGE ascend to maximum and then descend gradually. The content of W, Mo, Au and Te ascend first, then descend a little, and ascend again as the water depth increases.
作者 王彦美 张伙带 刘季花 高晶晶 黄文星 朱本铎 WANG Yanmei ZHANG Huodai LIU Jihua GAO Jingjing HUANG Wenxing ZHU Benduo(Key Laboratory of Marine Mineral Resources, Ministry of Land and Resources, Guangzhou, 510075 Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou, 510075 First Institute of Oceanography Key Laboratory of Marine Sedimentology and Environmental Geology, State Oceanic Administration, Qingdao , 266061)
出处 《地质论评》 CAS CSCD 北大核心 2017年第4期1064-1078,共15页 Geological Review
基金 中国大洋协会国际海底区域资源研究开发"十二.五"课题(编号:DY125-13-R-07) 国家自然科学基金资助项目"南海海底铁锰结核/结壳的成因和历史记录"(编号:91428207)的成果
关键词 富钴结壳 维嘉平顶海山群 伴生有用元素 数值变化特征 空间分布特征 Co-rich Crusts Weijia Guyots associated useful element numerical characteristic spatial distributions.
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