論文

査読有り
2016年3月

Depositional facies and sequence of the latest Pleistocene to Holocene incised valley fill in Kushiro Plain, Hokkaido, northern Japan

QUATERNARY INTERNATIONAL
  • Yasuhiro Takashimizu
  • ,
  • Takashiro Shibuya
  • ,
  • Yuichi Abe
  • ,
  • Taku Otsuka
  • ,
  • Shinya Suzuki
  • ,
  • Chihiro Ishii
  • ,
  • Yuki Miyama
  • ,
  • Hiromasa Konishi
  • ,
  • Sung Gi Hu

397
開始ページ
159
終了ページ
172
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.quaint.2015.07.061
出版者・発行元
PERGAMON-ELSEVIER SCIENCE LTD

The development of the latest Pleistocene to Holocene incised valley fill in the Kushiro area, Hokkaido, Japan is investigated in this study. Nine boring core samples drilled in the Kushiro marsh were examined using depositional facies analysis, total sulfur content (TSC) measurement, and radiocarbon dating methods. Based on these methods, 12 depositional facies were recognized including marsh, subaqueous talus, bay-head delta, sand dune, beach, shoreface, barrier sand body, drowned valley-central basin, salt marsh, fluvial, pond, and pyroclastic deposits. The incised valley fill forms a depositional sequence primarily controlled by glacio-eustatic sea-level changes. The lowstand systems tract is composed of river deposits. The transgressive systems tract includes salt marsh, drowned-valley fill central basin, bay-head delta, barrier sand body, central basin, and subaqueous talus deposits. The highstand systems tract is composed of barrier sand body, shoreface, beach, sand dune, central basin bay-head delta, marsh, salt marsh, subaqueous talus, fluvial, and pond facies. Radiocarbon dating analysis indicates that the period of maximum marine flooding was around 7 ka cal. BP. (C) 2015 Elsevier Ltd and INQUA. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.quaint.2015.07.061
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000372959900014&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.quaint.2015.07.061
  • ISSN : 1040-6182
  • eISSN : 1873-4553
  • Web of Science ID : WOS:000372959900014

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