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Co-Seismic Response of Bedrock Temperature to the Ms6.3 Kangding Earthquake on 22 November 2014 in Sichuan, China

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Abstract

In this paper, we report the co-seismic temperature response of the Ms6.3 Kangding earthquake in Sichuan, China, which occurred within a bedrock temperature monitoring station network constructed in the east of the Qinghai-Tibet Plateau. Results indicate that two kinds of co-seismic responses of bedrock temperature, exponential and step-rise ones, were recorded at different stations. As for the former, the amplitude of co-seismic response is about 5.6–11.5 mK (the average value is 7.33 mK), while the latter is about 0.31–0.98 mK (the average value is 0.52 mK). These two kinds of responses would be indicative of the two different mechanisms for change in temperature. On the one hand, the exponential responses represent the effects of fluid advection along the borehole wall, which are associated with a finite quantity of heat produced by earthquake-driven transient fluid flow. The step-rise responses, on the other hand, represent the direct response of temperature to change in the crustal stress accompanying with earthquake. We still tested relationship between stress variation and temperature response on the rock samples taken from the boreholes, and the average value is 0.77 mK/MPa. Upon thus, these step-rise temperature responses imply that co-seismic change in mean stress is about 0.40 MPa. We simplify effects of fluid by presuming a one-dimensional model where the flow is either up or down based on a pressure change due to compression or tension. The stress state, compression or tension, deduced by the direction of the fluid flow is qualitatively accordant with the direct response of bedrock temperature to stress change. In summary, characteristic changes in bedrock temperature occurred coincidentally with the earthquake at different stations, agreeing generally with regional stress adjustments accompanying the earthquake. Changes in bedrock temperature do seem to offer a useful means of monitoring dynamic changes in shallow crustal stress.

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References

  • Allen, C. R., Zhuoli, L., Hong, Q., Xueze, W., Huawei, Z., & Weishi, H. (1991). Field study of a highly active fault zone: The Xianshuihe fault of southwestern China. Geological Society of America Bulletin, 103(9), 1178–1199.

    Article  Google Scholar 

  • Anderson, M. P. (2005). Heat as a ground water tracer. Groundwater, 43, 951–968.

    Article  Google Scholar 

  • Barnett, D. E., Bowman, J. R., Pavlis, T. L., Rubenstone, J. R., Snee, L. W., & Onstott, T. C. (1994). Metamorphism and near-trench plutonism during initial accretion of the Cretaceous Alaskan forearc. Journal of Geophysical Research: Solid Earth (1978–2012), 99(B12), 24007–24024.

    Article  Google Scholar 

  • Bouchon, M. (1997). The state of stress on some faults of the San Andreas System as inferred from near-field strong motion data. Journal of Geophysical Research: Solid Earth, 102(B6), 11731–11744.

    Article  Google Scholar 

  • Carslaw, H. S., & Jaeger, J. C. (1959). Conduction of heat in solids (2nd ed.). Oxford: Oxford at the Clarendon Press.

    Google Scholar 

  • Chen, S., Liu, P., Guo, Y., Liu, L., & Ma, J. (2015). An experiment on temperature variations in sandstone during biaxial loading. Physics and Chemistry of the Earth Parts A/B/C, 85–86, 3–8.

    Article  Google Scholar 

  • Chen, S., Liu, P., Liu, L., & Ma, J. (2016). Bedrock temperature as a potential method for monitoring change in crustal stress: Theory, in situ measurement, and a case history. Journal of Asian Earth Sciences, 123, 22–33.

    Article  Google Scholar 

  • Chen, S., Liu, L., Liu, P., Ma, J., & Chen, G. (2009). Theoretical and experimental study on relationship between stress-strain and temperature variation. Science in China Series D-Earth Sciences, 52(11), 1825–1834.

    Article  Google Scholar 

  • Fairhurst, C. (2003). Stress estimation in rock: A brief history and review. International Journal of Rock Mechanics and Mining Sciences, 40(7–8), 957–973.

    Article  Google Scholar 

  • Fulton, P. M., & Brodsky, E. E. (2016). In situ observations of earthquake-driven fluid pulses within the Japan Trench plate boundary fault zone. Geology, G38034, 1. https://doi.org/10.1130/G38034.1.

    Google Scholar 

  • Fulton, P. M., Brodsky, E. E., Kano, Y., Mori, J., Chester, F., Ishikawa, T., et al. (2013). Expedition 343, 343T, and KR13-08 Scientists. 2013. Low co-seismic friction on the Tohoku-Oki fault determined from temperature measurements. Science, 342(6163), 1214–1217.

    Article  Google Scholar 

  • Gephart, J. W., & Forsyth, D. W. (1984). An improved method for determining the regional stress tensor using earthquake focal mechanism data: Application to the San Fernando Earthquake Sequence. Journal of Geophysical Research, 89(B11), 9305.

    Article  Google Scholar 

  • Hsieh, J. (1975). Principles of thermodynamics. Washington, DC: McGraw-Hill Book Company, Scripta Book Company.

    Google Scholar 

  • Jaeger, J., Cook, N. G., & Zimmerman, R. (2007). Fundamentals of rock mechanics. Amsterdam: Blackwell Publishing.

    Google Scholar 

  • Jaupart, C., & Mareschal, J. C. (2010). Heat generation and transport in the earth. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Kano, Y., Mori, J., Fujio, R., Ito, H., Yanagidani, T., Nakao, S., & Ma, K. -F. (2006). Heat signature on the Chelungpu fault associated with the 1999 Chi-Chi, Taiwan earthquake. Geophysical Research Letters, 33, L14306. https://doi.org/10.1029/2006GL026733.

    Article  Google Scholar 

  • Lachenbruch, A. H., & Sass, J. H. (1980). Heat flow and energetics of the San Andreas Fault Zone. Journal of Geophysics Research, 85(B11), 6185–6222.

    Article  Google Scholar 

  • Lai, G., Ge, H., Xue, L., Brodsky, E. E., Huang, F., & Wang, W. (2014). Tidal response variation and recovery following the Wenchuan Earthquake from water level data of multiple wells in the nearfield. Tectonophysics, 619–620, 115–122.

    Article  Google Scholar 

  • Li, H., Xue, L., Brodsky, E. E., Mori, J. J., Fulton, P. M., Wang, H., Kano, Y., Yun, K., Harris, R. N., Gong, Z., Li, C., Si, J., Sun, Z., Pei, J., Zheng, Y., & Xu, Z. (2015). Long-term temperature records following the Mw 7.9 Wenchuan (China) earthquake are consistent with low friction. Geology, 43(2), 163–166.

    Article  Google Scholar 

  • Liu, P., Chen, S., Liu, L., Chen, G., & Ma, J. (2004). An experiment on the infrared radiation of surficial rocks during deformation. Seismology and Geology, 26(3), 502–511. (in Chinese with English abstract).

    Google Scholar 

  • Liu, Q., Shi, Y., Wei, D., Han, P., Chen, S., Liu, P., et al. (2017). Near-surface geothermal gradient observation and geothermal analyses in the Xianshuihe Fault Zone. Eastern Tibetan Plateau, Acta Geologica Sinica, 91(2), 414–428.

    Article  Google Scholar 

  • Ma, J., Liu, L., Liu, P., & Ma, S. (2007). Thermal precursory pattern of fault unstable sliding: An experimental study of en echelon faults, Chinese. Journal of Geophysical, 50, 995–1004. (in Chinese).

    Google Scholar 

  • Molnar, P., & Qidong, D. (1984). Faulting associated with large earthquakes and the average rate of deformation in central and eastern Asia. Journal of Geophysical Research, 89(B7), 6203–6227.

    Article  Google Scholar 

  • Qiu, Z., Yang, G., Tang, L., Guo, Y., & Zhang, B. (2013). Abnormal strain changes observed by a borehole strainmeter at guza station before the Ms7.0 Lushan earthquake. Geodesy and Geodynamics, 4(3), 19–29.

    Article  Google Scholar 

  • Shi, Z., Wang, G., Manga, M., & Wang, C.-Y. (2015). Mechanism of co-seismic water level change following four great earthquakes—insights from co-seismic responses throughout the Chinese mainland. Earth and Planetary Science Letters, 430, 66–74.

    Article  Google Scholar 

  • Taniguchi, M. (1993). Evaluation of vertical groundwater fluxes and thermal properties of aquifers based on transient temperature-depth profiles. Water Resources Research, 29(7), 2021–2026.

    Article  Google Scholar 

  • Totaro, C., Orecchio, B., Presti, D., Scolaro, S., & Neri, G. (2016). Seismogenic stress field estimation in the Calabrian Arc region (south Italy) from a Bayesian approach. Geophysical Research Letters. https://doi.org/10.1002/2016GL070107.

    Google Scholar 

  • Wang, S., Fan, C., Wang, G., & Wang, E. (2008). Late Cenozoic deformation along the northwestern continuation of the Xianshuihe fault system, Eastern Tibetan Plateau. Geological Society of America Bulletin, 120(3–4), 312–327.

    Article  Google Scholar 

  • Wang, C., & Manga, M. (2010). Earthquakes and water. Lecture notes in earth sciences (114th ed.). New York: Springer.

    Google Scholar 

  • Xu, Z., Wang, S., Huang, Y., & Gao, A. (1992). Tectonic stress field of China inferred from a large number of small earthquakes. Journal of Geophysical Research, 97(B8), 11867.

    Article  Google Scholar 

  • Xue, L., Li, H. B., Brodsky, E. E., Xu, Z. Q., Mori, J. J., Wang, H., et al. (2013). Continuous permeability measurements record healing inside the Wenchuan Earthquake Fault Zone. Science, 340(6140), 1555–1559.

    Article  Google Scholar 

  • Yang, X., Lin, W., Tadai, O., Zeng, X., Yu, C., Yeh, E.-C., et al. (2017). Experimental and numerical investigation of the temperature response to stress changes of rocks. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1002/2016JB013645.

    Google Scholar 

  • Yi, G., Long, F., Wen, X., Liang, M., & Wang, S. (2015). Seismogenic structure of the M6.3 Kangding earthquake sequence on 22 Nov. 2014, Southwestern China. Chinese Journal of Geophysics, 58(4), 1205–1219.

    Google Scholar 

  • Zoback, M. L. (1992). First and second-order patterns of stress in the lithosphere-the world stress map. Journal of Geophysical Research, 97(B8), 11703–11728.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 41474162), and by Basic Research Funds from the Institute of Geology, China Earthquake Administration (Grant No. IGCEA1605). Thanks to Qi Wen-bo and Zhuo Yan-qun, who conducted the experiments. Prof. Wen Xue-ze and Prof. Chen Li-chun provided useful help for this work; Prof. Zhou Yong-sheng and Prof. He Chang-rong provided helpful suggestions. We also thank Patrick Fulton and four anonymous reviewers for their helpful reviews of an earlier version of the paper.

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Correspondence to Shunyun Chen.

Appendix A: Uniaxial Tests of Temperature Response to Stress in Change on the Rock Samples Taken From the Boreholes

Appendix A: Uniaxial Tests of Temperature Response to Stress in Change on the Rock Samples Taken From the Boreholes

Uniaxial tests on the rock samples are carried out in a laboratory. The rock sample, taken from the borehole, is a cylinder with a diameter of 70 mm and a height of 40 mm. The loading is performed by the mode of the triangle wave, and the loading rate is 1.5 kN/s. The room temperature is synchronously recorded with the temperature of rock. The sensors are the platinum resistance–temperature transmitter (Pt1000). Figure 10 shows an experimental case demonstrating the variation of temperature during the loading of rock sample from station 105. To verify the repeatability of the experiment, the loading triangle waves have two amplitudes, 40 and 50 MPa, separately, and the same loading amplitude is performed over three cycles. As shown in Fig. 10, the temperature variations are in line with loading. Temperature increases as the load increases while the temperature decreases as the load decreases. According to tests on the rock samples from stations 103, 105, and 106, the magnitudes of the relationship between temperature and stress change at room temperature are 0.82, 0.74 and 0.73 mK/MPa, respectively. The average value is 0.77 mK/MPa. Note that the rock in station 108 is mudstone that is fractured (Fig. 1c). The intact rock in station 108 was not obtained and as such, it is not to conduct this kind of mechanical experiment.

Fig. 10
figure 10

Variation of temperature during loading of Marble (Station 105)

The rock sample is a cylinder with a diameter of 70 mm and a height of 40 mm; Room temperature at the beginning of test (0 s) is 23.9 °C; Loading rate is 1.5 kN/s; the relationship between temperature and stress change is 0.74 mK/MPa.

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Chen, S., Liu, P., Guo, Y. et al. Co-Seismic Response of Bedrock Temperature to the Ms6.3 Kangding Earthquake on 22 November 2014 in Sichuan, China. Pure Appl. Geophys. 176, 97–117 (2019). https://doi.org/10.1007/s00024-018-1933-7

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