Stress field change around the Mount Fuji volcano magma system caused by the Tohoku megathrust earthquake, Japan | Bulletin of Volcanology Skip to main content
Log in

Stress field change around the Mount Fuji volcano magma system caused by the Tohoku megathrust earthquake, Japan

  • Research Article
  • Published:
Bulletin of Volcanology Aims and scope Submit manuscript

Abstract

Crustal deformation by the M w 9.0 megathrust Tohoku earthquake causes the extension over a wide region of the Japanese mainland. In addition, a triggered M w 5.9 East Shizuoka earthquake on March 15 occurred beneath the south flank, just above the magma system of Mount Fuji. To access whether these earthquakes might trigger the eruption, we calculated the stress and pressure changes below Mount Fuji. Among the three plausible mechanisms of earthquake–volcano interactions, we calculate the static stress change around volcano using finite element method, based on the seismic fault models of Tohoku and East Shizuoka earthquakes. Both Japanese mainland and Mount Fuji region are modeled by seismic tomography result, and the topographic effect is also included. The differential stress given to Mount Fuji magma reservoir, which is assumed to be located to be in the hypocentral area of deep long period earthquakes at the depth of 15 km, is estimated to be the order of about 0.001–0.01 and 0.1–1 MPa at the boundary region between magma reservoir and surrounding medium. This pressure change is about 0.2 % of the lithostatic pressure (367.5 MPa at 15 km depth), but is enough to trigger an eruptions in case the magma is ready to erupt. For Mount Fuji, there is no evidence so far that these earthquakes and crustal deformations did reactivate the volcano, considering the seismicity of deep long period earthquakes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Asano Y, Saito T, Ito Y, Shiomi K, Hirose H, Matsumoto T, Aoi S, Hori S, Sekiguchi S (2011) Spatial distribution and focal mechanisms of aftershocks of the 2011 off the pacific coast of Tohoku earthquake. Earth planets and space, special issue: first results of the 2011 off the Pacific Coast of Tohoku earthquake

    Google Scholar 

  • Bautisa BC, Leonila PB, Stein RS, Barcelona ES, Punongbayan RS, Laguerta EP, Rasdas AR, Ambubuyog G, Amin EQ (1996) Relationship of regional and local structures to Mount Pinatubo activity. In: Newhall C, Punongbayan RS (eds) Fire and Mud. University of Washington Press, Seattle, pp 351–370

    Google Scholar 

  • Birch (1961) The velocity of compressional waves in rocks to 10 kilobars (part II). J Geophys Res 65:1083–1102

    Article  Google Scholar 

  • Han HD, Wu XN (1985) Approximation of infinite boundary condition and its application to finite element methods. J Comput Math 3:178–192

    Google Scholar 

  • Hill DP, Prejean S (2005) Magmatic unrest beneath Mammoth Mountain, California. J Volcanol Geotherm Res 146:257–283

    Article  Google Scholar 

  • Hill DP, Reasenberg PA, Michael A, Arabaz W, Beroza GC (1993) Seismicity in the western United States remotely triggered by the M 7.4 Landers, California, earthquake of June 28, 1992. Science 260:1617–1623

    Article  Google Scholar 

  • Hill DP, Pollitz F, Newhall C (2002) Earthquake–volcano interactions. Phys Today 55(11):41–47

    Article  Google Scholar 

  • Japan Meteorological Agency (2011) List of activated volcanoes after 2011 Tohoku earthquake. http://www.seisvol.kishou.go.jp/tokyo/STOCK/kaisetsu/CCPVE/shiryo/122/20110311earthquake.pdf (in Japanese)

  • Kikuchi A, Dong Q (2011) Earthquake fault analysis by finite element method. Adv Simul 4:100–113

    Google Scholar 

  • Koketsu K, Yokota Y, Nishimura N, Yagi Y, Miyazaki S, Satake K, Fujii Y, Miyake H, Sakai S, Yamanaka Y, Okada T (2011) A unified source model for the 2011 Tohoku earthquake. Earth Planet Sci Lett 310:480–487

    Article  Google Scholar 

  • Koyama M (2002) Mechanical coupling between volcanic unrests and large earthquakes: a review of examples and mechanics. J Geogr 111:222–232, in Japanese with English abstract

    Article  Google Scholar 

  • Koyama M (2007) Database of eruptions and other activities of Fuji Volcano, Japan, based on historical records since AD 781. Yamanashi Institute of Environmental Sciences, Fuji Volano, pp 119–136, in Japanese with English abstract

    Google Scholar 

  • Lara LE, Naranjo JA, Moreno H (2004) Rhyodacitic fissure eruption in Southern Andes (Cordon Caulle: 40.5 S) after the 1960 (M w : 0.5) Chilean earthquake: a structural interpretation. J Volcanol Geotherm Res 138:127–138

    Article  Google Scholar 

  • Linde AT, Sacks IS (1998) Triggering of volcanic eruptions. Nature 395:888–890

    Article  Google Scholar 

  • Linde AT, Sacks IS, Johnston MJS, Hill DP, Bilham RG (1994) Increased pressure from rising bubbles as a mechanism for remotely triggered seismicity. Nature 371:408–410

    Article  Google Scholar 

  • Liu Y, Zhang Y, Behrens H (2005) Solubility of H2O in rhyolitic melts at low pressure and a new empirical model for mixed H2O–CO2 solubility in rhyolitic melts. J Volcanol Geotherm Res 143:219–235

    Article  Google Scholar 

  • Manga M, Broadsky EE (2006) Seismic triggering of eruptions in the far field: volcanoes and geysers. Annu Rev Earth Planet Sci 34:263–291

    Article  Google Scholar 

  • Marzocchi W, Scandone R, Mulargia F (1993) The tectonic setting of Mt Vesuvius and the correlation between its eruptions and the earthquakes of the southern Apennines. J Volcanol Geotherm Res 58:27–41

    Article  Google Scholar 

  • Marzocchi W, Selva J, Piersanti A, Boschi E (2003) On the long-term interaction among earthquakes: some insight from a model simulation. J Geophys Res 108. doi:10.1029/2003JB002390

  • Matsubara M, Obara K, Kasahara K (2008) Three-dimensional P- and S-wave velocity structures beneath the Japan Islands obtained by high-density seismic stations by seismic tomography. Tectonophysics 454:86–103

    Article  Google Scholar 

  • Mellors R, Kilb D, Aliyev A, Gasanov A, Yetirmishli G (2007) Correlations between earthquakes and large mud volcano eruptions. J Geophys Res 112. doi:10.1029/2006JB004489

  • Nakamichi H, Watanabe H, Ohminato T (2007) Three-dimensional velocity structure of Mount Fuji and the South Fossa Magna, central Japan. J Geophys Res 112. doi:10.1029/2005JB004161

  • Nakamura K (1977) Volcanoes as possible indicators of tectonic stress orientation—principle and proposal. J Volcanol Geotherm Res 2:1–16

    Article  Google Scholar 

  • Navon O, Lyakhovsky V (1998) Vesiculation processes in silicic magmas. In: Gilbert JS, Sparks RSJ (ed) The physics of explosive eruptions. Geol Soc Spec Publ 145: 27–50

  • Nishimura T, Ozawa S, Murakami M, Sagiya T, Tada T, Kaidzu M, Ukawa M (2001) Crustal deformation caused by magma migration in the northern Izu Islands, Japan. Geophys Res Lett 28:3745–3748

    Article  Google Scholar 

  • Nishimura T, Sagiya T, Stein RS (2007) Crustal block kinematics and seismic potential of the northernmost Philippine Sea plate and Izu microplate, central Japan, inferred from GPS and leveling data. J Geophys R 112:B0541. doi:10.1029/2005JB004102

    Google Scholar 

  • Nostro C, Stein RS, Cocco M, Belardinelli ME, Marzocchi W (1998) Two-way coupling between Vesuvius eruptions and southern Apennine earthquakes, Italy, by elastic stress transfer. J Geophys Res 103:24487–24504

    Article  Google Scholar 

  • Ozawa S, Nishimura T, Suito H, Kobayashi T, Tobita M, Imakiire T (2011) Coseismic and postseismic slip of the 2011 magnitude-9 Tohoku-Oki earthquake. Nature 475:373–377

    Article  Google Scholar 

  • Papale P, Polacci M (1999) Role of carbon dioxide in the dynamics of magma ascent in explosive eruptions. Bull Volcanol 60:583–594

    Article  Google Scholar 

  • Simons M, Minson SE, Sladen A, Orgega F, Jiang J, Owen SE, Meng L, Ampuero JP, Wei S, Chu R, Helmberger DV, Kanamori H, Hetland E, Moore AW, Webb FH (2011) The 2011 magnitude 9.0 Tohoku-Oki earthquake: Mosaicking the Megathrust from seconds to centuries. Science 332:1421–1425

    Article  Google Scholar 

  • Sumita I, Manga M (2008) Suspension rheology under oscillatory shear and its geophysical implications. Earth Plane Sci Lett 269:468–477

    Article  Google Scholar 

  • Toda N (2011) Mesh generation for the ground model including fault planes. Adv Simul 4:114–121

    Google Scholar 

  • Toda S, Lin J, Stein RS (2011) Using the 2011 M w 9.0 off the pacific coast of Tohoku earthquake to test the coulomb stress triggering hypothesis and to calculate faults brought closer to failure. Earth Planets Space 63:725–730

    Article  Google Scholar 

  • Turner SP, George RMM, Evans PJ, Hawkesworth CJ, Zellmer GF (2000) Time-scales of magma formation, ascent and storage beneath subduction-zone volcanoes. Phil Trans R Soc Lond A 358:1443–1464

    Article  Google Scholar 

  • Ueda H, Fujita E, Ukawa M, Yamamoto E, Irawan M, Kimata F (2005) Magma intrusion and discharge process at the initial stage of the 2000 activity of Miyakejima, Central Japan, inferred from tilt and GPS data. Geophys J Int 161:891–906

    Article  Google Scholar 

  • Ukawa M (2005) Deep low-frequency earthquake swarm in the mid crust beneath Mount Fuji (Japan) in 2000 and 2001. Bull Volcanol 68:47–56

    Article  Google Scholar 

  • Wallece PJ (2005) Volatiles in subduction zone mgmas: concentrations and fluxes based on melt inclusion and volcanic gas data. J Volcanol Geotherm Res 140:217–240

    Article  Google Scholar 

  • Walter TR (2007) How a tectonic earthquake may wake up volcanoes: stress transfer during the 1996 earthquake–eruption sequence at the Karymsky Volcanic Group, Kamchatka. Earth Plane Sci Lett 264:347–359

    Article  Google Scholar 

  • Walter TR, Amelung F (2007) Volcanic eruptions following M>=9 megathrust earthquakes: implications for the Sumatra-Andaman volcanoes. Geology 35:539–542

    Article  Google Scholar 

  • Walter TR, Wang R, Zimmer M, Grosser H, Luhr B, Ratdomopurubo A (2007) Volcanic activity influenced by tectonic earthquake: static and dynamic stress triggering at Mt. Merapi. Geophys Res Lett 34:L05304. doi:10.1029/2006GL028710

    Article  Google Scholar 

  • Walter TR, Wang R, Acocella V, Neri M, Grosser H, Zschau J (2009) Simultaneous magma and gas eruptions at three volcanoes in southern Italy: an earthquake trigger? Geology 37:251–254

    Article  Google Scholar 

  • Wolf JP, Song C (1996) Finite-element modeling of unbounded media. Eleventh World Conference on earthquake engineering. Paper no. 70

Download references

Acknowledgments

We are very grateful to Takuya Nishimura who provided the fault information concerning the 2000 Miyakejima volcano and the off-Izu peninsula crustal deformation. Masae Kikuchi, Fusako Sakamoto, Mariko Isohata, and Hiroko Sawabe kindly supported us in analyzing DLP event data of Mount Fuji. We also acknowledge Michael Manga, Thomas Walter and Jacopo Selva to improve our paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eisuke Fujita.

Additional information

Editorial responsibility: M. Manga

Appendices

Appendix: sensitivity of simulation results

Our numerical simulation using FEM depends on the assumptions underlying the model. In our analysis, we use seismic fault parameters derived from the inversion of the observation data and the physical properties of the crust and magma are based on the results of seismic tomography. This appendix briefly discusses the sensitivity of our numerical simulation results with respect to three points: (1) the heterogeneity and topography of the crust, (2) the depth of magma reservoir, and (3) the fault model of Tohoku earthquake.

The heterogeneity and topography of the crust

Figure 9 presents examples of simulations of crustal deformation for a homogeneous medium with a no-topography model and for a heterogeneous medium with a topography model. The displacements and stress (in the figure we depict the trace of the stress tensor) suggest different profiles. For example, the peak of EW(x) displacement in the homogeneous-no-topography model is about 0.018 m, whereas that in the heterogeneous topography model is about 0.014 m. The estimated stress changes are on the same order, but the stress trace in the homogenous model has a peak of 0.16 MPa, while that in the heterogeneous model is about 0.06 MPa, less than half of the former case. Therefore, it is better to include the heterogeneity and the actual topography, though we can discuss the order of the stress changes in spite of the ambiguity of the crustal structure.

Fig. 9
figure 9

Sensitivity of FEM numerically simulated crustal deformation on the heterogeneity and topography. The left plate illustrates the distribution of displacement and stress for a homogeneous medium with no topography; the right plates illustrate that for a heterogeneous medium with topography. In the figure, displacements 0, 1, and 2 correspond to the EW, NS, and UD components, and σ trace is equal to the sum of σ xx, σ yy, and σ zz

The depth of magma reservoir

The magma plumbing system beneath Mount Fuji is not clear but we assume it from hypocenter distribution and seismic tomography results. One of the most important factors is the depth of the magma reservoir, so we evaluate how the stress field depends on it. Figure 10 shows the EW cross section of σ dif distribution by East Shizuoka earthquake beneath the summit (left) and the vertical distribution of stress components passing the center of magma reservoir (right). We assume two depths of magma reservoir as (a) 15 km and (b) 20 km. The red dashed circles correspond to the boundary of magma reservoir and it is noted that the σ dif takes the maximum above the reservoir about (a) 1.35 MPa and (b) 1.28 MPa, respectively. Thus, the stress given to the magma system is effective to its depth.

Fig. 10
figure 10

Differential stress σ dif distributions for two cases of magma reservoir depths of a 15 km and b 20 km. The dashed red circles indicate the boundary of spherical magma reservoirs. The profile of stress components along the vertical axis is also shown, suggesting the maximum σ dif is at above the magma reservoir

The fault model of Tohoku megathrust earthquake

For the evaluation of stress field change due to Tohoku earthquake, we applied the fault model by Ozawa et al. (2011), which is inverted by the GPS data and the displacements are constant on each of two major faults. Recent analysis by Simons et al. (2011) suggests detail slip distributions on the fault. Similarly, Koketsu et al. (2011) reported a fault model obtained by joint inversion of teleseismic, strong motion, geodetic and Tsunami data. In their model, the fault region is divided into 80 segments with individual displacement. As in Fig. 11, the Tohoku area has different displacement and stress distributions from those obtained as in Fig. 4 by Ozawa et al. (2011), but the stress distribution around Mount Fuji region has no significant difference, comparing Fig. 11 bottom with Fig. 5 top, since Mount Fuji is distant enough from Tohoku region.

Fig. 11
figure 11

Disturbance by Tohoku earthquake calculated by the fault model of Koketsu et al. (2011), obtained by joint inversion of teleseismic, strong motion, geodetic and Tsunami data. The fault plane is divided into 80 segments with individual displacement. The disturbance around Mount Fuji is not significantly different from those by the fault model of Ozawa et al. (2011) in Figs. 3 and 4

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fujita, E., Kozono, T., Ueda, H. et al. Stress field change around the Mount Fuji volcano magma system caused by the Tohoku megathrust earthquake, Japan. Bull Volcanol 75, 679 (2013). https://doi.org/10.1007/s00445-012-0679-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00445-012-0679-9

Keywords

Navigation