Geochemical differentiation processes for arc magma of the Sengan volcanic cluster, Northeastern Japan, constrained from principal component analysis

Ueki, Keisuke; Iwamori, Hikaru

doi:10.1016/j.lithos.2017.08.001

Cited by 32 publications

(22 citation statements)

References 92 publications

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“…The reference slope for discrimination of tholeiitic (TH) and calc‐alkaline (CA) series is from Miyashiro (). The reference data for Quaternary volcanic rocks from NE‐Japan arc are summarized in Table S37 (Ban & Yamamoto, ; Fujinawa, , ; Hunter & Blake, ; Kimura & Yoshida, ; Kimura et al, ; Kudo et al, ; Kuritani, Yoshida, Kimura, Hirahara, et al, ; Moriguti et al, ; Ohba et al, ; Sakuyama & Nesbitt, ; Takahashi et al, ; Tatsumi et al, ; Toya et al, ; Ueki & Iwamori, ; Yamamoto, ).…”

Section: Resultsmentioning

confidence: 99%

“…Covariations between (a) SiO 2 and Sr, (b) SiO 2 and Y, (c) Mg# [≡Mg/(Mg + Fe 2+ )] and Sr/Y, and (d) Mg# and (La/Yb) n for the volcanic rocks in the Chugoku district. Data for NE‐Japan Quaternary lavas (fore‐arc volcanoes) are summarized in Tables S35–S37 (Ban & Yamamoto, ; Hunter & Blake, ; Kimura et al, ; Kimura & Yoshida, ; Kudo et al, ; Kuritani, Yoshida, Kimura, Hirahara, et al, ; Kuritani, Yoshida, Kimura, Takahashi, et al, ; Moriguti et al, ; Ohba et al, ; Sakuyama & Nesbitt, ; Takahashi et al, ; Tatsumi et al, ; Toya et al, ; Ueki & Iwamori, ).…”

Section: Resultsmentioning

confidence: 99%

“…Data for Daisen PD and AA are from Feineman et al (). Data for andesite‐dacite‐rhyolite suite (ADR) from Quaternary NE‐Japan volcanoes are also shown for comparison (Ban & Yamamoto, ; Hunter & Blake, ; Kimura & Yoshida, ; Kimura et al, ; Kudo et al, ; Kuritani, Yoshida, Kimura, Hirahara, et al, ; Kuritani, Yoshida, Kimura, Takahashi, et al, ; Moriguti et al, ; Ohba et al, ; Sakuyama & Nesbitt, ; Takahashi et al, ; Tatsumi et al, ; Toya et al, ; Ueki & Iwamori, ; Tables S35 and S36). The compositional fields of adakite and nonadakitic ADR lavas are after Defant and Drummond () and Martin ().…”

Section: Introductionmentioning

confidence: 99%

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Production of High‐Sr Andesite and Dacite Magmas by Melting of Subducting Oceanic Lithosphere at Propagating Slab Tears

et al. 2018

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We present K-Ar ages, major and trace element concentrations, and Sr-Nd-Pb isotope data for late Cenozoic volcanic rocks from the Chugoku district, southwest Japan arc. Andesite and dacite lavas in this region are enriched in Sr (mostly >800 μg g À1 ) and show geochemical characteristics of volcanic rocks commonly referred to as "adakite." K-Ar dating of these lavas revealed that the eruption of high-Sr andesitic to dacitic magmas occurred during the last 2 Myr, following or concurrent with the eruption of basalt in adjacent regions. Trace-element characteristics of high-Sr andesites and dacites are consistent with the formation of their parent magmas by partial melting of the basaltic layer of the subducting Shikoku Basin Plate. Mass balance modeling of trace element concentrations and isotopic compositions suggests that the parental magmas of high-Sr andesites and dacites are best explained by mixing of partial melts from oceanic crust (F = 5-15%) and sediment (F = 30%) at 80:20 to 55:45 ratios. Spatial coincidence of the occurrences of high-Sr andesites and dacites and seismic gaps of the subducting slab demonstrates the causal link between slab melting and mantle upwelling at slab tears. We speculate that these tears could have been formed by subduction of ridges on the plate. A warm mantle upwelled through tears, preventing the solidification of the siliceous slab melts in the mantle and facilitating the transportation of these melts to the surface.The southwest (SW) Japan arc (Figure 1) is an example of a volcanic field in which high-Sr andesites and dacites occur (Figure 2;Feineman et al., 2013;Kimura et al., 2014;Morris, 1995). Like others, the SW Japan arc is characterized by the occurrence of basalt lavas in closed spatial and temporal proximity. It is PINEDA-VELASCO ET AL.3698

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Production of High‐Sr Andesite and Dacite Magmas by Melting of Subducting Oceanic Lithosphere at Propagating Slab Tears

et al. 2018

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“…., in which PC1 explains the maximum variability, PC2 is the next major axis, and so on. Because PCA allows us to examine the factors contributing to the variance in the multidimensional data, an increasing number of studies have applied it to high-dimensional geochemical data of volcanic rocks, and successfully resolved the causes of geochemical variations resulting from the heterogeneity of primary magmas and/or magmatic differentiation (e.g., Bosch et al, 2008;Kuritani et al, 2016;Ueki and Iwamori, 2017).…”

Section: Principal Component Analysis On Basaltic Productsmentioning

confidence: 99%

Magma Plumbing System at Izu-Oshima Volcano, Japan: Constraints From Petrological and Geochemical Analyses

et al. 2018

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The Izu-Oshima volcano is one of the most active volcanoes in Japan, and has generated relatively large-scale eruptions every 30-40 years for the past 200 years. As more than 30 years have passed since the last eruptions in 1986-87, volcanic activity is expected to resume in the near future. To help elucidate the current and future state of the volcano's magma system, the temporal evolution of the recent magma plumbing system was investigated through a petrological and geochemical analysis of its basaltic lavas and pyroclastics (<∼53 wt.% of SiO 2 ) that were erupted during the last ∼1.5 kyr. The basaltic products have variable phenocryst contents, ranging from ∼0 to ∼20 vol.%, and phenocryst-bearing samples commonly contain plagioclase, orthopyroxene, and clinopyroxene phenocrysts. The whole-rock compositions are significantly scattered in the Harker variation diagrams, suggesting that the compositional diversity was established by at least two independent magmatic processes. The application of principal component analysis on the whole-rock major element data suggests that one magmatic process was crystal fractionation of crystal-poor magmas, and the other process was either plagioclase accumulation or mixing of plagioclase-rich magmas. Based on this observation, and combined with the petrological analysis and previous geophysical studies, we propose that aphyric magmas, stored in an 8-10 km-deep magma chamber, progressively differentiated over time from the 7th to 20th century. Furthermore, the compositional variations in basalts resulted from the mixing of the differentiating aphyric magmas with variable proportions of porphyritic magmas derived from a 13-18 km-deep magma chamber. Because recent eruptions have been triggered by the ascent of porphyritic magma from the 13-18 km-deep magma chamber, and its injection into the 8-10 km-deep magma chamber, it is important to monitor the deeper magma chamber to predict future volcanic activity.

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“…Multivariate statistical analysis can be a powerful tool for detecting the characteristic features of multidimensional geochemical datasets, and it is employed in areas of study including environmental sciences, petrolo-gy, and resource exploration (e.g., Templ et al, 2008;Kuwatani et al, 2014;Ofner et al, 2015;Yasukawa et al, 2016;Ueki and Iwamori, 2017;Kuwatani et al, 2018;Ueki et al, 2018;Yoshida et al, 2018). Geochemical data including chemical composition, petrographic description, and location coordinates are increasingly provided in the literature, making them available for analysis approaches that deal with large-scale, multidimensional data (Igarashi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

GEOFCM: a new method for statistical classification of geochemical data using spatial contextual information

Yoshida

Kuwatani

Yasumoto

et al. 2018

Journal of Mineralogical and Petrological Sciences

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Conventional clustering algorithms such as k-means and fuzzy c-means (FCM) cluster analysis do not fully utilize the spatial distribution information of geologic samples. In this paper, we propose GEOFCM, a new clustering method for geochemical datasets with location coordinates. A spatial FCM algorithm originally constructed for image segmentation was modified for application to a sparse and unequally-spaced dataset. The proposed algorithm evaluates the membership function of each sample using neighboring samples as a weighting function. To test the proposed algorithm, a synthetic dataset was analyzed by several hyper-parameter settings. Applying this algorithm to a geochemical dataset of granitoids in the Ina-Mikawa district of the Ryoke belt shows that samples collected from the same geological unit are likely to be classified as the same cluster. Moreover, overlapping geochemical trends are classified consistently with spatial distribution, and the result is more robust against noise addition than standard FCM analysis. The proposed method is a powerful tool to use with geological datasets with location coordinates, which are becoming increasingly available, and can help find overviews of complicated multidimensional data structure.

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Geochemical differentiation processes for arc magma of the Sengan volcanic cluster, Northeastern Japan, constrained from principal component analysis

Cited by 32 publications

References 92 publications

Production of High‐Sr Andesite and Dacite Magmas by Melting of Subducting Oceanic Lithosphere at Propagating Slab Tears

Production of High‐Sr Andesite and Dacite Magmas by Melting of Subducting Oceanic Lithosphere at Propagating Slab Tears

Magma Plumbing System at Izu-Oshima Volcano, Japan: Constraints From Petrological and Geochemical Analyses

GEOFCM: a new method for statistical classification of geochemical data using spatial contextual information

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