Statistical Correlation for Geological Layers Using XRF Core Scan Data
Proof of Concept in Application to Tsunami Deposits
Bibliographic Data
| ID | 21348801 |
|---|---|
| Authors | Tatsu KUWATANI (0000-0001-7161-9458, Research Institute for Marine Geodynamics, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)), Toshimoto SAKAI (Chesterford Co., Ltd.), Kengo Nakamura (0000-0002-2304-1548, Tohoku University), Takeshi Komai (0000-0003-2244-5177, Tohoku University) |
| Year | 2023 |
| Volume | 132 |
| Issue | 5 |
| Pages | 367-384 |
| Publication date | 2023-10-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Geography (Chigaku Zasshi) (JOURNAL) |
| Journal identifiers | ISSN: 0022-135X • E-ISSN: 1884-0884 |
| Publisher | Tokyo Geographical Society (PUBLISHER • JP) |
| DOI | 10.5026/jgeography.132.367 |
| OpenAlex | W4388557989 |
| Language | EN |
| Citations received | 4 |
| References cited | 32 |
A method is developed to quantitatively correlate geological layers based on similarities in the shape of the statistical frequency distribution of a large volume of multi-element count data obtained with an X-ray fluorescence (XRF) core scanner. A distance measure between probability distributions called Jensen–Shannon divergence is adopted as a criterion for similarities in statistical distributions with the assumption of a Gaussian distribution. Using artificially created elemental count data, the flow of analysis and the effectiveness of the method for detecting the query layer of interest from the search target core dataset is demonstrated. By applying the system to geological samples, which were disturbed by the 2011 Tohoku-oki tsunami, located in Higashi Matsushima City, Miyagi Prefecture, the system is shown to appropriately correlate surface layer, Jogan-tsunami (A.D. 869) layer, and beach sediment layer, which indicates the effectiveness of the proposed system for obtaining a stratigraphic correlation of two cores. In the future, by developing the method to automatically determine layer boundaries, it will be possible to detect narrow event layers and to automatically correlate the stratigraphy. By applying it to many cores, the proposed method is useful for evaluating spatial distributions of tsunami deposits and wide-spread tephra layers, and it is expected to contribute to disaster prevention and mitigation
Debris · Debris flow · Divergence (linguistics) · Gaussian · Layer (electronics) · Physics · Seismology · Tephra · Volcano · earthquake and tectonic studies · Geochemistry and Geologic Mapping · Geology · Geology and Paleoclimatology Research · Materials Science · Stratigraphy
Overview of the Special Issue “Progress of Earth and Data Sciences Research into Tsunami Deposits, and Contribution to Tsunami Disaster Prevention (Part I)
Preface of the Special Issue “Progress of Earth and Data Sciences Research into Tsunami Deposits, and Contribution to Tsunami Disaster Prevention (Part I)
Preface of the Special Issue “Progress of Earth and Data Sciences Research into Tsunami Deposits, and Contribution to Tsunami Disaster Prevention (Part II)
Overview of the Special Issue “Progress of Earth and Data Sciences Research into Tsunami Deposits, and Contribution to Tsunami Disaster Prevention (Part II)
Estimating Layer Boundaries of Mixed-layer Tsunami Deposits with a XRF Core Scanner
Signal-to-noise ratios, instrument parameters and repeatability of Itrax XRF core scan measurements of floodplain sediments
Identification of cryptotephra horizons in a North East Atlantic marine record spanning marine isotope stages 4 and 5a (∼60,000–82,000 a b2k)
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |