Journal of Geography最新文献

Mentoring Geography Teachers in the Secondary School: A Practical Guide 指导中学地理教师：实用指南

IF 3.1 3区地球科学

Journal of Geography Pub Date : 2023-11-02 DOI: 10.1080/00221341.2023.2291668

Mary D. Curtis

引用次数: 0

Teaching about Local Climates, Global Climate, and Climatic Change 教授当地气候、全球气候和气候变化知识

IF 3.1 3区地球科学

Journal of Geography Pub Date : 2023-11-02 DOI: 10.1080/00221341.2023.2284390

Lisa Tabor, John Harrington

引用次数: 0

Traces of Paleo-tsunamis Occurring during the Last 6500 years 过去6500年间发生的古海啸的痕迹

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.cover05_01

引用次数: 0

Preface 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” 《海啸沉积物的地球与数据科学研究进展及对海啸防灾的贡献(二):海啸沉积物的新分析技术与数据处理》特刊前言

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.365

Noriyoshi TSUCHIYA, Takeshi KOMAI, Kengo NAKAMURA

引用次数: 0

ポータブル蛍光エックス線分析装置による津波堆積物の簡易判別手法の検討便携式荧光x线分析装置对海啸沉积物的简易判别方法的研究

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.417

Takahiro WATANABE, Yusuke YAMAMOTO, Akihisa KITAMURA

{"title":"ポータブル蛍光エックス線分析装置による津波堆積物の簡易判別手法の検討","authors":"Takahiro WATANABE, Yusuke YAMAMOTO, Akihisa KITAMURA","doi":"10.5026/jgeography.132.417","DOIUrl":"https://doi.org/10.5026/jgeography.132.417","url":null,"abstract":"To improve a method for geochemically discriminating paleotsunami deposits, a quantitative analysis of major and trace elements in boring cores from the Shizuoka plain on the Pacific coast of central Japan was performed using a portable energy dispersive X-ray fluorescence spectrometry system (portable XRF). Geochemical approaches using a portable XRF contribute to studies on simple and rapid methods for detecting paleotsunami deposits. Calibration curves for quantitative analyses were prepared using 25 geochemical standard samples. Geochemical characteristics of paleotsunami deposits (ca. 1000, 3500, and 4000 cal BP) from the Shizuoka plain were obtained. Most of the quantitative data collected with the portable XRF were good agreement with reported values measured with stationary-type energy dispersive XRF in previous studies. Therefore, a portable XRF was applied in geochemical studies of samples from the Shizuoka plain. Relatively high Si/Ti, Ca/Ti, and Sr/Ti atomic ratios were observed in paleotsunami deposits from layers aged ca. 1000, 3500, and 4000 cal BP. Moreover, relatively high Cr/Ti ratios were found in lower paleotsunami deposits (ca. 4000 cal BP). Fe/Ti and S/Ti ratios increased in peaty clay layers just below the paleotsunami deposits in the core. On the other hand, Cl was not detected in the cores. Most of the paleotsunami deposits were distinguished from other layers in the cores using a cluster analysis with the portable XRF data. Therefore, a portable XRF is useful for characterizing paleotsunami deposits from the Shizuoka plain.","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"IA-11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Refraction Seismic Survey in Suruga Bay Using OBSs and Air-gun Sources: Increased Subsurface Velocity Structure Observed at the Northern Part of the Senoumi Bank 用地震仪和气枪震源在骏河湾进行折射地震勘探:在Senoumi岸北部观测到增加的地下速度结构

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.439

Nagisa NAKAO, Hisatoshi BABA, Kayoko TSURUGA, Shintaro ABE, Takahito NISHIMIYA

{"title":"Refraction Seismic Survey in Suruga Bay Using OBSs and Air-gun Sources: Increased Subsurface Velocity Structure Observed at the Northern Part of the Senoumi Bank","authors":"Nagisa NAKAO, Hisatoshi BABA, Kayoko TSURUGA, Shintaro ABE, Takahito NISHIMIYA","doi":"10.5026/jgeography.132.439","DOIUrl":"https://doi.org/10.5026/jgeography.132.439","url":null,"abstract":"Suruga Bay is a tectonic bay that is traversed in the north-south direction by the Suruga Trough, which is considered to be a subduction boundary between the northern margin of the Philippine Sea Plate and the Eurasian Plate. In order to clarify the shape of the subducting plate boundary, seismic refraction surveys were conducted using 14 sets of pop-up type ocean bottom seismographs (OBSs) and air-guns as controlling seismic sources at a total of six survey lines in the years 2016, 2017, and 2018. The main survey lines are located along the western side, the axis of the Suruga Trough, and the Izu peninsula side of Suruga Bay; the three main lines run approximately north to south across Suruga Bay. This enables the subsurface velocity structure beneath the sea floor to be obtained. Features indicate the shape and subduction of the subducting plate boundary if the subsurface velocity structure beneath each survey line can be determined in detail. Details of the velocity structure at the western side of Suruga Bay investigated in 2016 are presented. The survey line 2016-NS is located at the Eurasian Plate side and runs about 36 km from the Senoumi Basin to off the Udo Hills at the west side of the Senoumi-kita Bank, almost parallel to the west coast of Suruga Bay. Survey line 2016-EW crosses Suruga Bay about 18 km from near Yaizu on the west coast of the bay to near Toi on the east coast. The subsurface velocity boundary is complex, and an unusual structure rises in the subsurface structure at the north side of Senoumi-kita Bank. The rising structure is connected to the Senoumi-minami Bank and the Senoumi-kita Bank, and is considered to be an uplift derived from the outer ridge uplift belt zone.","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"45 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating Layer Boundaries of Mixed-layer Tsunami Deposits with a XRF Core Scanner 用XRF岩心扫描仪估算混合层海啸沉积物的层界

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.403

Kengo NAKAMURA, Tatsu KUWATANI, Takeshi KOMAI

{"title":"Estimating Layer Boundaries of Mixed-layer Tsunami Deposits with a XRF Core Scanner","authors":"Kengo NAKAMURA, Tatsu KUWATANI, Takeshi KOMAI","doi":"10.5026/jgeography.132.403","DOIUrl":"https://doi.org/10.5026/jgeography.132.403","url":null,"abstract":"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.","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

XRFコアスキャンデータを用いた地層の統計的対比 XRF核心圈数据地层的统计对比

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.367

Tatsu KUWATANI, Toshimoto SAKAI, Kengo NAKAMURA, Takeshi KOMAI

{"title":"XRFコアスキャンデータを用いた地層の統計的対比","authors":"Tatsu KUWATANI, Toshimoto SAKAI, Kengo NAKAMURA, Takeshi KOMAI","doi":"10.5026/jgeography.132.367","DOIUrl":"https://doi.org/10.5026/jgeography.132.367","url":null,"abstract":"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.","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"28 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

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” 《海啸沉积物的地球与数据科学研究进展及对海啸防灾的贡献(第二部分):海啸沉积物的新分析技术和数据处理》特刊综述

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.363

Noriyoshi TSUCHIYA, Takeshi KOMAI, Kengo NAKAMURA

引用次数: 0

Machine Learning-based Geochemical Discrimination Method for Tsunami Deposits and a Simple Determination System 基于机器学习的海啸沉积物地球化学判别方法及简易测定系统

3区地球科学

Journal of Geography Pub Date : 2023-10-25 DOI: 10.5026/jgeography.132.385

Shuta SATO, Takeshi KOMAI, Kengo NAKAMURA, Noriaki WATANABE

引用次数: 2