EGU23-3968, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-3968
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Influence of Environmental Parameters on Highly Sensitive Instruments at Moxa Geodynamic Observatory

Valentin Kasburg1, Alexander Breuer2, Martin Bücker2, and Nina Kukowski1
Valentin Kasburg et al.
  • 1IGW, FSU, Jena, Germany (valentin.kasburg@uni-jena.de)
  • 2IfI, FSU, Jena, Germany

Strainmeters measure the change in length between two known fixed points and are used primarily to identify and estimate tectonic strain. In addition to tectonic strain, these instruments also record changes in strain caused by other phenomena such as Earth tides and fluctuations of meteorological signals like changes in groundwater levels caused by precipitation, which may be much larger than tectonic strain and thus mask its signals. To avoid meteorological influences as far as possible, horizontal strainmeters often are maintained in galleries such that tectonically induced strain signals are not affected by other sources of noise.

At Moxa Geodynamic Observatory, located in central Germany, two laser strainmeters with a base length of 26 m each are maintained in galleries oriented north-south and east-west. Their resolution is in the nano-scale and sampling rate is 0.1 Hz. Mountain overburden in the gallery is comparatively low at approx. 30 m and in addition, the hydrogeological situation of the subsurface surrounding the observatory, is very heterogeneous. Therefore, amplitudes of meteorological phenomena are still quite high. In order to correct meteorological influences in the recorded strain time-series, they first need to be better understood. For doing so, long time-series - a decade at least – are needed. As the laser strainmeters continuously record since summer 2011, these are now available.

We present the results of weighting various meteorological parameters on the strainmeter recordings by training Long Short Term Memory Networks and perturbing input parameters for the test data. In this way, the contribution of each parameter to the meteorologically induced strain signals can be estimated. This knowledge is subsequently used to eliminate meteorological influences from the time-series recordings of strain.

How to cite: Kasburg, V., Breuer, A., Bücker, M., and Kukowski, N.: Influence of Environmental Parameters on Highly Sensitive Instruments at Moxa Geodynamic Observatory, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-3968, https://doi.org/10.5194/egusphere-egu23-3968, 2023.