論文

査読有り
2021年10月

Three-Dimensional Structural Analysis of Ferromanganese Nodules from the Western North Pacific Ocean Using X-ray Computed Tomography

MINERALS
  • Kentaro Nakamura
  • ,
  • Daiki Terauchi
  • ,
  • Ryo Shimomura
  • ,
  • Shiki Machida
  • ,
  • Kazutaka Yasukawa
  • ,
  • Koichiro Fujinaga
  • ,
  • Yasuhiro Kato

11
10
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/min11101100
出版者・発行元
MDPI

The three-dimensional layered growth structure of 934 ferromanganese nodule samples collected from dives in the Pacific Ocean around Minamitorishima Island was assessed using X-ray computed tomography (X-ray CT) to elucidate their growth history. The thickness of the layered structure measured in three orthogonal directions showed that the ferromanganese nodules grew equally in all directions regardless of shape and size. Based on differences in CT numbers, a layered structure was subdivided into sublayers I, II, III, and IV, which corresponded to petrological features. The nodules were then classified as Types I, II, III, and IV according to whether they had sublayers I, I and II, I-III, or I-IV, respectively. Correlations between the total thickness of the layers and the number of sublayers indicated that both represented the relative age of the nodules. Nodules with all these types were recovered from most of the sampling sites, and histograms of the total layer thickness at each dive site showed several peaks. These findings indicated that the initiation of nodule growth was intermittent, rather than simultaneous. Three distinct thickness peaks were found at many sites throughout the study area, suggesting that at least three nodule initiation events covering hundreds of kilometers initiated the growth of ferromanganese nodules.</p>

リンク情報
DOI
https://doi.org/10.3390/min11101100
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000714797800001&DestApp=WOS_CPL
ID情報
  • DOI : 10.3390/min11101100
  • eISSN : 2075-163X
  • Web of Science ID : WOS:000714797800001

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