Overview of the Special Issue “Progress of Earth and Data Sciences Research into Tsunami Deposits, and Contribution to Tsunami Disaster Prevention (Part II)
Novel Analytical Techniques and Data Processing for Tsunami Deposits”
Bibliographic Data
| ID | 21348824 |
|---|---|
| Authors | Noriyoshi Tsuchiya (0000-0001-8176-6849, National Institute of Technology, Hachinohe College), Takeshi Komai (0000-0003-2244-5177, Tohoku University), Kengo Nakamura (0000-0002-2304-1548, Tohoku University) |
| Year | 2023 |
| Volume | 132 |
| Issue | 5 |
| Pages | 363-364 |
| 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.132.363 |
| OpenAlex | W4388558000 |
| Language | EN |
| References cited | 5 |
Earth science · Emergency management · Geography · Political science · earthquake and tectonic studies · Geology · Geology and Paleoclimatology Research · Seismology and Earthquake Studies
Overview of the Special Issue “Progress of Earth and Data Sciences Research into Tsunami Deposits, and Contribution to Tsunami Disaster Prevention (Part I)
Simple and Rapid Method for Geochemically Discriminating of Paleotsunami Deposits Using a Portable X-ray Fluorescence Spectrometry System
Estimating Layer Boundaries of Mixed-layer Tsunami Deposits with a XRF Core Scanner
Statistical Correlation for Geological Layers Using XRF Core Scan Data
Machine Learning-based Geochemical Discrimination Method for Tsunami Deposits and a Simple Determination System
| Highly cited | No |
|---|