Japan Geoscience Union Meeting 2022

Presentation information

[E] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS07] Developments and applications of XRF-core scanning techniques in natural archives

Sun. May 29, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (27) (Ch.27)

convener:Jyh-Jaan Steven Huang(Institute of Oceanography, National Taiwan University), convener:Atsuko Amano(National institute of Advanced Industrial Science and Technology), Masafumi MURAYAMA(Faculty of Agriculture and Marine Science, Kochi University), convener:Ludvig A Lowemark(National Taiwan University, MIS07_29PO1)

11:00 AM - 1:00 PM

[MIS07-P03] Sedimentary Characteristics of Turbidites Discovered off Eastern Taiwan by Using Multivariate Statistics and Non-Destructive Core Scanning Techniques

*Jun-Ting Lin1, Jyh-Jaan Steven Huang2, Chih-Chieh Su2, Chin-Wen Yang1, Ludvig A Lowemark3, Chuan-Yi Lin4, Yuan-Pin Chang1 (1.Department of Oceanography, National Sun Yat-sen University, Kaohsiung, Taiwan, 2.Institute of Oceanography, National Taiwan University, Taipei, Taiwan, 3.Department of Geosciences, National Taiwan University, Taipei, Taiwan, 4.National Applied Research Laboratories, Instrument Technology Research Center, Hsinchu, Taiwan)


Keywords:Rapid Depositional Layers, Turbidites, Taitung Submarine Canyon, XRF Scanner, CT-images

Rapid depositional layers (RDL), or turbidites, in long-term marine sedimentary records have been wildly used to infer extreme events, such as earthquakes, submarine landslides, tsunamis, typhoons, and floods. Characterizing such turbidites with their triggering mechanisms becomes the critical step to infer long-term event risk and recurrence statistics. In this study, more than 700 turbidites have been identified based on the optical images in the 12.77 meters long core MD18-3538, which was retrieved from the distal part of the Taitung Submarine Canyon off eastern Taiwan. Conventional methods, such as visual observation and time-consuming analyses of grain size, mineralogy, and geochemistry, may not be sufficient due to their relatively low sampling resolution. A data-driven approach to objectively classify the characteristics of turbidites thus was developed by combining multivariate statistics with non-destructive core scanning techniques, including principal component analysis (PCA) and cluster analysis (CA), as well as data from multi-sensor core logger (MSCL), X-ray fluorescence (XRF) scanning, spectrophotometer reflectance, radiography, and X-ray computed tomography (CT). The results show that turbidites in core MD18-3538 can be characterized by higher density, P-wave velocity, and XRF counts of Ca and Sr. Moreover, the turbidite layers can be further divided into high magnetic susceptibility turbidites and low magnetic susceptibility turbidites. This study provides a fast, non-destructive, and high-resolution method that, combined with statistical methods, can reliably identify turbidites in long-term records. It provides new prospects for turbidite classification off eastern Taiwan and other places with similar geological setting. The triggering mechanisms of turbidites can therefore be further discussed.