Pub Date : 2023-11-02DOI: 10.1080/00221341.2023.2291668
Mary D. Curtis
{"title":"Mentoring Geography Teachers in the Secondary School: A Practical Guide","authors":"Mary D. Curtis","doi":"10.1080/00221341.2023.2291668","DOIUrl":"https://doi.org/10.1080/00221341.2023.2291668","url":null,"abstract":"","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"25 1","pages":"163 - 164"},"PeriodicalIF":3.1,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139290686","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}
Pub Date : 2023-11-02DOI: 10.1080/00221341.2023.2284390
Lisa Tabor, John Harrington
Abstract The basics of climate must be understood to have a climate literate populace. Understanding climatic change is a wicked problem. This work identifies three foundational content challenges to climate and climate change education, discusses them thoroughly, and offers graphics and conceptual models to address this content in the classroom. The three concepts covered are: 1) conflation between weather and climate, 2) understanding the differences among spatial and temporal scales of climate, and 3) distinguishing between natural climate variability and human-driven climatic change. The goal of this work is to offer science-based pathways for teaching important concepts in climate change education.
{"title":"Teaching about Local Climates, Global Climate, and Climatic Change","authors":"Lisa Tabor, John Harrington","doi":"10.1080/00221341.2023.2284390","DOIUrl":"https://doi.org/10.1080/00221341.2023.2284390","url":null,"abstract":"Abstract The basics of climate must be understood to have a climate literate populace. Understanding climatic change is a wicked problem. This work identifies three foundational content challenges to climate and climate change education, discusses them thoroughly, and offers graphics and conceptual models to address this content in the classroom. The three concepts covered are: 1) conflation between weather and climate, 2) understanding the differences among spatial and temporal scales of climate, and 3) distinguishing between natural climate variability and human-driven climatic change. The goal of this work is to offer science-based pathways for teaching important concepts in climate change education.","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"14 1","pages":"155 - 162"},"PeriodicalIF":3.1,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139291079","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}
{"title":"Traces of Paleo-tsunamis Occurring during the Last 6500 years","authors":"","doi":"10.5026/jgeography.132.cover05_01","DOIUrl":"https://doi.org/10.5026/jgeography.132.cover05_01","url":null,"abstract":"岩手県野田村十王崎の津波堆積物露頭の全体像，左上の写真は，Part Iの表紙の写真で，海上からドローンで撮影（白丸部が中央写真の露頭位置）．右図は，中央写真矢印部のトレンチの近接写真で，幾枚もの津波堆積物が確認される．To-a層（十和田aテフラ，915年）の下位にある砂層は869年の貞観津波堆積物と推定される．高さ7 mを超える露頭全体では，過去6500年にわたる津波堆積物が観察される．","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"10 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":"135218875","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}
Pub Date : 2023-10-25DOI: 10.5026/jgeography.132.365
Noriyoshi TSUCHIYA, Takeshi KOMAI, Kengo NAKAMURA
{"title":"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”","authors":"Noriyoshi TSUCHIYA, Takeshi KOMAI, Kengo NAKAMURA","doi":"10.5026/jgeography.132.365","DOIUrl":"https://doi.org/10.5026/jgeography.132.365","url":null,"abstract":"","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"6 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218874","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}
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.
为了改进古海啸沉积地球化学鉴别方法，采用便携式能量色散x射线荧光光谱法(portable XRF)对日本中部太平洋沿岸静冈平原钻孔岩心中的主元素和微量元素进行了定量分析。使用便携式XRF的地球化学方法有助于研究简单快速的检测古海啸沉积物的方法。用25个地球化学标准样品制备了定量分析的校准曲线。获得了静冈平原古海啸沉积(约1000、3500和4000 cal BP)的地球化学特征。便携式XRF采集的定量数据与以往研究中稳态能量色散XRF测量的结果吻合良好。因此，将便携式XRF应用于静冈平原样品的地球化学研究。古海啸沉积物的Si/Ti、Ca/Ti和Sr/Ti原子比均较高，年龄分别为1000、3500和4000 cal BP。此外，在较低的古海啸沉积(约4000 cal BP)中发现了较高的Cr/Ti比值。岩心古海啸沉积物下方泥炭黏土层Fe/Ti和S/Ti比值增加。另一方面，在岩心中未检测到Cl。利用便携式XRF数据进行聚类分析，将大部分古海啸沉积与岩心中的其他层区分开。因此，便携式XRF对静冈平原古海啸沉积物的表征是有用的。
{"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}
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.
{"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}
Pub Date : 2023-10-25DOI: 10.5026/jgeography.132.403
Kengo NAKAMURA, Tatsu KUWATANI, Takeshi KOMAI
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.
{"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}
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.
{"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}
Pub Date : 2023-10-25DOI: 10.5026/jgeography.132.363
Noriyoshi TSUCHIYA, Takeshi KOMAI, Kengo NAKAMURA
{"title":"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”","authors":"Noriyoshi TSUCHIYA, Takeshi KOMAI, Kengo NAKAMURA","doi":"10.5026/jgeography.132.363","DOIUrl":"https://doi.org/10.5026/jgeography.132.363","url":null,"abstract":"","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"BME-30 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218873","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}
In order to establish a discrimination method for tsunami deposits, a machine learning analysis is conducted for geochemical data to determine paleo-tsunami deposits. Column samples containing tsunami deposits are collected at Noda village, Iwate prefecture, and Wakabayashi-ku, Sendai city, and the distribution of element concentrations are continuously measured. The model is trained by Multilayer perceptron using Noda samples as training data. Combination of elements and number of layers and perceptron are determined by the brute-force search method applied to the Noda samples. The results show that all event deposits determined in the Wakabayashi samples are tsunami deposits. These results indicate the possibility of highly accurate discrimination without being affected by sampling points or depositional ages, or by selecting appropriate supervised data. To combine the techniques of machine learning and geochemical discrimination, simple determination systematics are developed for tsunami deposits using supervised data and analyses of evaluation data.
{"title":"Machine Learning-based Geochemical Discrimination Method for Tsunami Deposits and a Simple Determination System","authors":"Shuta SATO, Takeshi KOMAI, Kengo NAKAMURA, Noriaki WATANABE","doi":"10.5026/jgeography.132.385","DOIUrl":"https://doi.org/10.5026/jgeography.132.385","url":null,"abstract":"In order to establish a discrimination method for tsunami deposits, a machine learning analysis is conducted for geochemical data to determine paleo-tsunami deposits. Column samples containing tsunami deposits are collected at Noda village, Iwate prefecture, and Wakabayashi-ku, Sendai city, and the distribution of element concentrations are continuously measured. The model is trained by Multilayer perceptron using Noda samples as training data. Combination of elements and number of layers and perceptron are determined by the brute-force search method applied to the Noda samples. The results show that all event deposits determined in the Wakabayashi samples are tsunami deposits. These results indicate the possibility of highly accurate discrimination without being affected by sampling points or depositional ages, or by selecting appropriate supervised data. To combine the techniques of machine learning and geochemical discrimination, simple determination systematics are developed for tsunami deposits using supervised data and analyses of evaluation data.","PeriodicalId":51539,"journal":{"name":"Journal of Geography","volume":"C-23 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218877","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}
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