JpGU-AGU Joint Meeting 2020

講演情報

[J] ポスター発表

セッション記号 S (固体地球科学) » S-CG 固体地球科学複合領域・一般

[S-CG66] 海洋底地球科学

コンビーナ:沖野 郷子(東京大学大気海洋研究所)

[SCG66-P14] 遠洋性粘土の年代決定に向けた魚類の歯化石 (イクチオリス) の効率的な収集・観察方法の開発

*見邨 和英1三鍋 秀悟1大田 隼一郎1,2,3中村 謙太郎1安川 和孝1,2藤永 公一郎2,1高尾 和宏1加藤 泰浩1,2 (1.東京大学大学院工学系研究科システム創成学専攻、2.千葉工業大学次世代海洋資源研究センター、3.JAMSTEC)

キーワード:遠洋性粘土、年代決定、微化石、イクチオリス、深層学習、物体検出

Deep-sea sediments record paleo-environmental changes thorough geologic time. Among them, pelagic clay is one of the most widely distributed sediment in global ocean and thus is an important medium recording changes of atmospheric/oceanic circulations and surface ocean productivity that occurred in pelagic realm [1]. Although studies on pelagic clay [e.g. 2] have suggested that pelagic clay has significant variations in bulk geochemistry, possibly reflecting long term environmental changes, less attention has been paid to pelagic clay due to a difficulty in determination of depositional age.
It has long been recognized that determining depositional ages of pelagic clay is a challenge, because age-diagnostic calcareous/siliceous microfossils are seldom contained and paleomagnetic records are often ambiguous. Our studies [2,3] have shown that biostratigraphy of ‘ichthyoliths’ (microfossils of fish teeth and denticles [e.g. 4]) provide key constraints on depositional age of pelagic clay. However, traditional methods for collection and observations of ichthyoliths were troublesome; ichthyoliths were concentrated from samples by sieving and then manually picked from sieved samples to slide glasses under stereomicroscope. Therefore, observing enough amount of ichthyoliths from various samples is time consuming.
To overcome the problem, we first constructed a new method to concentrate a lot of ichthyoliths in a short time. We found that a combination of elutriation and heavy-liquid separation effectively accumulates ichthyoliths from pelagic clay. We then developed a method for direct detection of ichthyoliths by utilizing a slide scanner and deep learning-based technologies called ‘Mask R-CNN’ [5]. We are now improving the accuracy of the model. The latest results will be shown in the presentation.

References : [1] Kyte et al. (1993) Geochim. Cosmochim. Acta 57, 1719-1740. [2] Mimura, K et al. (2019) JpGU Meeting 2019. [3] Minabe, S et al. (2019) JpGU Meeting 2019. [4] Doyle and Riedel (1985) Init. Repts. DSDP 86, 349-366. [5] He et al. (2017) Proc. IEEE ICVC, 2961-2969