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Heat Signature on the Chelungpu Fault Associated with the 1999 - PowerPoint PPT Presentation

Heat Signature on the Chelungpu Fault Associated with the 1999 Chi-Chi, Taiwan Earthquake Yasuyuki Kano, Jim Mori, Ryo Fujio, Takashi Yanagidani, Setsuro Nakao (DPRI, Kyoto Univ.), Hisao Ito (JAMSTEC), Osamu Matsubayashi (AIST), Kuo-Fong Ma


  1. Heat Signature on the Chelungpu Fault Associated with the 1999 Chi-Chi, Taiwan Earthquake Yasuyuki Kano, Jim Mori, Ryo Fujio, Takashi Yanagidani, Setsuro Nakao (DPRI, Kyoto Univ.), Hisao Ito (JAMSTEC), Osamu Matsubayashi (AIST), Kuo-Fong Ma (NCU) RCEP, DPRI, KYOTO UNIV.

  2. Energy budget for an earthquake σ + σ = 0 1 W DS 2 W = E H + W 0 W 0 = E R + E G = σ E H DS 1 σ − σ = 0 1 W DS 0 2 D 0 D RCEP, DPRI, KYOTO UNIV.

  3. Goal of the talk Target: Temperature (heat) signature of the earthquake We observed temperature signature around the fault zone along the Chelungpu fault (September, 2005) The signature can be interpreted as the frictional heat caused by fault slip at the time of the 1999 Chi-Chi earthquake Evaluate other cause of the temperature anomaly (1) Spatial variation of material thermal conductivity Estimate “noise level” and obtain upper bound of heat strength (2) Water flow Calculate the temperature anomaly affected by 1-dimensional water flow RCEP, DPRI, KYOTO UNIV.

  4. Shallow borehole (Tanaka et al., 2006) Deeper and stable measurement! Relatively broad anomaly: affected by shallow ground water flow? Mesurement right after drilling: drilling effect RCEP, DPRI, KYOTO UNIV.

  5. 1999 Chi-Chi earthquake and TCDP site TCDP ( 大坑,台中 ) [Ma et al, 2002] RCEP, DPRI, KYOTO UNIV.

  6. Measurement 900 m 1.0 0.4 m/min m/min 1200 m RCEP, DPRI, KYOTO UNIV.

  7. RCEP, DPRI, KYOTO UNIV. Quartz thermometer

  8. Temperature profile using Quartz thermometer (Kano et al., 2006, GRL) RCEP, DPRI, KYOTO UNIV.

  9. Spatio-temporal variation of the temperature signature One-dimensional heat conduction ⎛− ⎞ 2 S x ⎜ ⎟ = T ( x , t ) exp ⎜ ⎟ (Officer, 1974) α πα ⎝ ⎠ 4 t 2 t S : strength of source, ºCm α : thermal diffusivity, Temperature anomaly Transient: Friction, …. Stable: Geothermal gradient Plane Heat Source = S + thermal property RCEP, DPRI, KYOTO UNIV.

  10. Temperature anomaly ~ 50 m Remove linear temperature gradient Average of 4 profiles 4 m slip, 6 years, α = 3.4 x 10 -7 m 2 /s (Kano et al., 2006, GRL) RCEP, DPRI, KYOTO UNIV.

  11. Estimated parameters ● Heat diffusivity α ~ 0.3 x 10 -6 m 2 /s ( k ~ 0.9 Wm -1 K -1 ) ● Strength of source S ~ 1 o Cm ↓ ( Q ~ 4 x 10 6 J/m 2 ) Shear stress τ ~ 0.6 MPa ↓ Frictional coefficient μ ~ 0.04 ● Upper limit of shear stress τ ~ 1.7 MPa ↓ Frictional coefficient μ ~ 0.1 RCEP, DPRI, KYOTO UNIV.

  12. RCEP, DPRI, KYOTO UNIV. Pt-RTD thermometer

  13. Temperature anomaly using another thermometer (Pt-RTD ) RCEP, DPRI, KYOTO UNIV.

  14. Shear stress and frictional heat q : Heat flow dT = κ κ : Thermal conductivity q dz T : Temperature z : depth Temperature gradient (-> temperature structure) is affected by variation of thermal conductivity under constant heat flow. RCEP, DPRI, KYOTO UNIV.

  15. Temperature observation and core measurement Hole-A Observed temperature variation Hole-B Predicted temperature variation from core thermal conductivity [Matsubayashi, T145-P003] 60 mA/m 2 LPF: 40 m RCEP, DPRI, KYOTO UNIV.

  16. Effect of water flow ∂ ρ ∂ ∂ 2 n c T T T α − = w w v (Domenico and Schwartz, 1997) ∂ ρ ∂ ∂ 2 x c x t v : flow rate n : porosity ρ w : density of water c w : specific heat of water. RCEP, DPRI, KYOTO UNIV.

  17. RCEP, DPRI, KYOTO UNIV. fault Effect of water flow

  18. Effect of waster flow (Kano et al., 2006, GRL) ∂ ρ ∂ ∂ 2 T n c T T α − = w w v ∂ ρ ∂ ∂ 2 x c x t The effect of the water flow: (1) move the anomaly downstream in position (2) broaden its shape RCEP, DPRI, KYOTO UNIV.

  19. Temperature anomaly (Kano et al., 2006, GRL) ~ 50 m Remove linear temperature gradient Average of 4 profiles Observed temperature signature is located right at the location of the fault RCEP, DPRI, KYOTO UNIV.

  20. Summary (1) Spatial variation of material thermal conductivity may cause noise in data Our observation gives upper bound of heat strength (still low friction) (2) Minimal effects from fluid flow in our observed temperature signature (3) Small heat signature indicates a low level friction on the fault during earthquake Shear stress: 2 MPa RCEP, DPRI, KYOTO UNIV.

  21. RCEP, DPRI, KYOTO UNIV.

  22. Temperature observation and core measurement LPF: 40 m Observed temperature variation (Hole-A) – Predicted temperature variation (Hole-B) Correct background temperature gradient - Depth correction (Hole-A vs Hole-B) - Appropriate filter Our estimate give upper bound of temperature anomaly RCEP, DPRI, KYOTO UNIV.

  23. Upper limit of the shear stress α = 0.34 m 2 /s, c =1140 J/kgK, ρ = 2600 kg/m 3 0.10 c =300 J/kgK, ρ = 2200 kg/m 3 α = 2.00 m 2 /s 0.00 0 1 2 3 4 RCEP, DPRI, KYOTO UNIV.

  24. Motivation Find the temperature signature associated with the 1999 Chi-Chi, Taiwan earthquake Amount of frictional heat (~ Level of shear stress) Key unknown values of important parameter for understanding the physics of earthquake rupture Cannot be determined by seismic observation Residual heat Can be observed as temperature anomaly along the fault RCEP, DPRI, KYOTO UNIV.

  25. Precise temperature measurements Development of thermometers Quartz thermometer (0.003 ° C) Pt-RTD thermometer (0.001 ° C) No water flow in the borehole Cased borehole No drilling disturbance A half year from the end of drilling RCEP, DPRI, KYOTO UNIV.

  26. RCEP, DPRI, KYOTO UNIV. Quartz thermometer

  27. RCEP, DPRI, KYOTO UNIV. Pt-RTD thermometer

  28. Estimation Assumption – Transferred to frictional heat – One-dimensional heat conduction – Constant background thermal gradient ⎛− ⎞ ∆ 2 S x ⎜ ⎟ ∆ = T ( x , t ) exp ⎜ ⎟ α πα ⎝ ⎠ 4 t 2 t ⋅ ρ c τ = S u σ n : normal stress τ (Sibson, 1974) µ = σ p : pore pressure n − p hydrostatic RCEP, DPRI, KYOTO UNIV.

  29. Summary Precise temperature measurement reveals Temperature anomaly of ~ 0.05 ° C Temperature distribution at depth comparable to core measurement Low shear stress Low dynamic friction Mechanism such as super-hydrostatic pore pressure or lubrication Future works Temperature anomaly caused by spatial variation of thermal property Sensor calibration (transfer function of instruments) Repeated measurement (Hole-B ?) RCEP, DPRI, KYOTO UNIV.

  30. Shear stress and frictional heat τ ⋅ = σ E H DS u = c 1 S ⋅ ρ S : Strength of source , ° Cm τ : Shear stress , MPa u : Slip , m c : Heat capacity, 1140 J Kg -1 o C -1 ρ : Density, 2600 Kg/m 3 RCEP, DPRI, KYOTO UNIV.

  31. Expectation Depth 1 km, Slip 8 m, frictional coefficient 0.6 ( S ~50 ° Cm) α = 0.6 x 10 -6 m 2 /s α = 0.9 5 years α = 1.2 5.5 years 5 years α = 1.2 x 10 -6 m 2 /s RCEP, DPRI, KYOTO UNIV.

  32. Temperature anomaly Remove linear temperature gradient Average of 4 profiles RCEP, DPRI, KYOTO UNIV.

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