Estimating Layer Boundaries of Mixed-layer Tsunami Deposits with a XRF Core Scanner

Datos Bibliográficos

ID21348841
AutoresKengo Nakamura (0000-0002-2304-1548, Tohoku University), Tatsu KUWATANI (0000-0001-7161-9458, Research Institute for Marine Geodynamics, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)), Takeshi Komai (0000-0003-2244-5177, Tohoku University)
Año2023
Volumen132
Número5
Páginas403-415
Fecha de publicación2023-10-25
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Geography (Chigaku Zasshi) (JOURNAL)
Identificadores de la revistaISSN: 0022-135X • E-ISSN: 1884-0884
EditorialTokyo Geographical Society (PUBLISHER • JP)
DOI10.5026/jgeography.132.403
OpenAlexW4388558047
IdiomaEN
Citas recibidas5
Referencias citadas31

From the perspective of disaster prevention, it is necessary to clarify the distribution and historical frequency of tsunami deposits. However, tsunami deposits are disturbed by earthquakes and tsunamis. Therefore, it is difficult to identify the layers of deposits. Layers deposited during disturbances are dated and grain-size distribution is measured. Using the results of geochemical data and principal component analyses with detailed elemental distributions, stratigraphic boundaries of past tsunami deposit layers and other layers left in the disturbed deposits are estimated. Samples collected with a geo-slicer consist of a 50-60 cm deep disturbed layer deposited by the Great East Japan Earthquake and underlying sand, peat, and marine deposits. 24 elemental distributions in a core measured using Itrax indicate that the disturbed layer is dominated by heavy metals. Changes in principal component analysis scores infer traces of a layer that could not be visually identified in the disturbed layer. Traces of this layer are consistent with traces that are deposits indicated from the isotopic analysis and the grain size distribution. Therefore, even if it is difficult to identify deposits due to disturbances caused by the tsunami, it may be possible to identify unidentified layers and estimate their thicknesses by compressing their dimensions and clarifying elemental relationships

Core (optical fiber) · Geochemistry · Layer (electronics) · Mineralogy · Principal component analysis · earthquake and tectonic studies · Geological and Geochemical Analysis · Geology · Geology and Paleoclimatology Research · Materials Science