Lateral Conductivity Variations within Austria and Its Surroundings by Extrapolating Airborne Electromagnetic Data

Schattauer, Ingrid; Römer, A.; Bailey, Roger C.; Leonhardt, Roman; Motschka, K.; Supper, R.; Schiller, A.

doi:10.3997/2214-4609.201702175

Cited by 2 publications

(4 citation statements)

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“…Here we will be comparing a combination of 1‐D EURHOM subsurface resistivity models (Ádám et al, ) and 2‐D surface conductivity models from the Geological Survey of Austria (GBA; Schattauer et al, ), hereafter referred to as surface conductivity and subsurface resistivity models for clarity. Both are combined in the thin‐sheet modeling process with geomagnetic variations to produce a model of the geoelectric field at the surface across Austria.…”

Section: Parameter Study Resultsmentioning

confidence: 99%

“…246/1947). These were extrapolated to a hydrogeological map of Austria (Schattauer et al, ). D is the sheet thickness the model was integrated over (if less than 3 km, the lower portion was sourced from EURHOM models) D D ‐: higher resolution and more detailed version of I‐ inhomogeneous surface conductivity model (cell size ∼2 × 2 km) S D ‐: same model as D‐ , but geoelectric measurements of the local resistivity at eight stations within the network have provided small‐area changes.…”

Section: Parameter Study Resultsmentioning

confidence: 99%

“…The subsurface layered resistivity models were sourced from the 1‐D layered homogeneous half‐space models listed in the European Rho Model (EURHOM; Ádám et al, ), which was developed as part of the European Risk from GICs (EURISGIC; Viljanen, ) research project. The 2‐D surface conductivity model (or thin‐sheet) was provided by the Austrian Geological Survey (GBA) and has been described in detail in previous studies (Bailey et al, ; Schattauer et al, ).…”

Section: Methodsmentioning

confidence: 99%

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Validating GIC Models With Measurements in Austria: Evaluation of Accuracy and Sensitivity to Input Parameters

et al. 2018

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Space weather events can cause geomagnetically induced currents (GICs) in power transmission networks. Over the past years, these currents have been measured in multiple substations in Austria, and the measurements have been tested against a model of local GIC with the aim of producing an optimized model, which can be developed through evaluation of various input parameters. We show the impact the choice of the local resistivity, in particular the surface conductivity in thin-sheet modeling, and the source of geomagnetic variations has on GIC modeling. In addition, the sensitivity of the model to the accuracy of the network configuration is also investigated. This encompasses the inclusion of power grids outside of Austria in the model as well as the consequences of removal of a substation either through transformer failure or active disconnection. Results show that a detailed surface conductivity model brings benefits to areas with large lateral conductivity variations and that there are certain substations that lead to increases and decreases of GIC in the rest of the network when removed. The importance of regionally representative geomagnetic field measurements is also highlighted and shown to impact model accuracy. This study concentrates on regional effects, but the results are also valid for large-scale studies elsewhere. node and adding four more stations in 2016 and 2017. The purpose of this paper is to expand on the former study using the same model and particularly to utilize measurements collected at multiple different stations to evaluate the importance and required accuracy of model input parameters for the best results.

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Section: Parameter Study Resultsmentioning

confidence: 99%

Section: Parameter Study Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Validating GIC Models With Measurements in Austria: Evaluation of Accuracy and Sensitivity to Input Parameters

et al. 2018

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“…The most recent study, Bailey et al (2018), is a comprehensive analysis of GICs in the Austrian power network based on modeling using the thin-sheet approach. The 2D surface conductivity model utilized for the thin-sheet was obtained by the Austrian Geological Survey (GBA) using airborne EM data and has been described in detail in Bailey et al (2017) and Schattauer et al (2017). Bailey et al (2018) isolate the Austrian power network from the rest of Europe for GIC modeling purposes and use a careful integration of the electric fields over power lines to obtain GICs.…”

Section: Europe: Austriamentioning

confidence: 99%

The Role of Global/Regional Earth Conductivity Models in Natural Geomagnetic Hazard Mitigation

Kelbert

2019

Surv Geophys

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Geomagnetic disturbances cause perturbations in the Earth's magnetic field which, by the principle of electromagnetic induction, in turn cause electric currents to flow in the Earth. These geomagnetically induced currents (GICs) also enter man-made technological conductors that are grounded; notably, telegraph systems, submarine cables and pipelines, and, perhaps most significantly, electric power grids, where transformer groundings at power grid substations serve as entry points for GICs. The strength of the GICs that flow through a transformer depends on multiple factors, including the spatiotemporal signature of the geomagnetic disturbance, the geometry and specifications of the power grid, and the electrical conductivity structure of the Earth's subsurface. Strong GICs are hazardous to power grids and other infrastructure; for example, they can severely damage transformers and thereby cause extensive blackouts. Extreme space weather is therefore hazardous to man-made technologies. The phenomena of extreme geomagnetic disturbances, including storms and substorms, and their effects on human activity are commonly referred to as geomagnetic hazards. Here, we provide a review of relevant GIC studies from around the world and describe their common and unique features, while focusing especially on the effects that the Earth's electrical conductivity has on the GICs flowing in the electric power grids.

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Lateral Conductivity Variations within Austria and Its Surroundings by Extrapolating Airborne Electromagnetic Data

Cited by 2 publications

References 0 publications

Validating GIC Models With Measurements in Austria: Evaluation of Accuracy and Sensitivity to Input Parameters

Validating GIC Models With Measurements in Austria: Evaluation of Accuracy and Sensitivity to Input Parameters

The Role of Global/Regional Earth Conductivity Models in Natural Geomagnetic Hazard Mitigation

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