Skip to main content
Log in

Temperature predictions and predictive temperatures in deep tunnels

  • Published:
Rock Mechanics and Rock Engineering Aims and scope Submit manuscript

Summary

Reliable assessments of the underground temperature are needed for construction projects like deep tunnels, shafts and storage facilities. In areas of pronounced topographic relief, special attention must be given to the influence of three-dimensional topography on the subsurface temperature field. Further parameters for the prediction include ground surface temperature, local heat flow density, geological factors (structure/schistosity, thermal conductivity, erosion rate, water circulation). A first prediction was attempted for the planned Gotthard railroad tunnel (NEAT). This tunnel will have a total length of 56 km with a maximum cover of 2500 m. The temperature predictions were calculated, based on the RIMINI topography array, for points at 1-km-intervals along the planned axis. Maximum temperature (conservative upper limit) is about 45°C; the error of the predicted temperatures could be, in view of the uncertainties involved, in general ca. ±5–10°C.

Since little is known at present about the deep water circulation system in the realm of the planned Gotthard tunnel, the prediction calculations assume heat transport by pure conduction. Significant subsurface water flow would mainly lead to the reduction of rock temperatures by cold infiltrations from the surface, as demonstrated by observations in the Simplon and Mont Blanc tunnels. In fact, the deviation of actual measurements (performed right behind the advancing face) from “conductive” previsions should be used as a predictive tool of large water flows which could be encountered during tunnel construction.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bodmer, Ph., Rybach, L. (1984): Geothermal map of Switzerland (Heat flow density). Beitr. Geol. Schweiz, Serie Geophysik Nr. 22, Kümmerly & Frey, Bern.

    Google Scholar 

  • Bodmer, Ph., England, Ph. C., Kissling, E., Rybach, L. (1979): On the correction of subsurface temperature measurements for the effects of topographic relief. Part II: Application to temperature measurements in the Central Alps. In: Čermák, V., Rybach L. (eds.): Terrestrial heat flow in Europe. Springer, Berlin Heidelberg New York Tokyo, 78–87.

    Google Scholar 

  • Bossolasco, M., Palau, C. (1967): Il flusso geotermico sotto il Monte Bianco. Geofis. Meteor. 14, 135–138.

    Google Scholar 

  • Jamier, D. (1975): Etude de la fissuration, de l'hydrogéologie et de la géochimie des eaux profondes des massifs de L'Arpille et du Mont-Blanc. Thèse de Docteur ès-sciences, Université de Neuchatel.

  • Niethammer, G. (1910): Die Wärmeverteilung im Simplon. Eclogae Geol. Helv. 73, 96–120.

    Google Scholar 

  • Powell, W. G., Chapman, D. S., Balling, N., Beck, A. E. (1988): Continental heat flow density. In: Haenel, R., Rybach, L., Stegena, L. (eds.): Handbook of terrestrial heat flow density determination, Kluwer Academic Publishers, Dordrecht, 167–222.

    Google Scholar 

  • Rybach, L., Bodmer, Ph., Weber, R., England, Ph. C. (1982): Heat flow and heat generation in the new Gotthard tunnel, Swiss Alps. In: Haenel, R., Čermák, V. (eds.): Geothermics and geothermal energy. E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, 63–69.

    Google Scholar 

  • SMA (1989): Bodentemperaturen und Verdunstung 1951–1985. Klimatologie der Schweiz 28P, Schweizerische Meteorologische Anstalt, Zürich.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rybach, L., Pfister, M. Temperature predictions and predictive temperatures in deep tunnels. Rock Mech Rock Engng 27, 77–88 (1994). https://doi.org/10.1007/BF01020206

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01020206

Keywords

Navigation