Estimation of the electric resistivity distribution (EURHOM) in the european lithosphere in the frame of the eurisgic WP2 project

Ádám, A.; Prácser, Ernő; Wesztergom, Viktor

doi:10.1556/ageod.47.2012.4.1

Cited by 48 publications

(45 citation statements)

References 8 publications

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“…For the calculation of GICs, three different resistivity models were used. The first of these is the Ádám et al [] Europe‐wide model. For Ireland, this consists of three different regions with varying resistivity values down to 30 km.…”

Section: Observationsmentioning

confidence: 99%

Geomagnetically induced currents in the Irish power network during geomagnetic storms

et al. 2016

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Geomagnetically induced currents (GICs) are a well‐known terrestrial space weather hazard. They occur in power transmission networks and are known to have adverse effects in both high‐latitude and midlatitude countries. Here we study GICs in the Irish power transmission network (geomagnetic latitude 54.7–58.5°N) during five geomagnetic storms (6–7 March 2016, 20–21 December 2015, 17–18 March 2015, 29–31 October 2003, and 13–14 March 1989). We simulate electric fields using a plane wave method together with two ground resistivity models, one of which is derived from magnetotelluric measurements (magnetotelluric (MT) model). We then calculate GICs in the 220, 275, and 400 kV transmission network. During the largest of the storm periods studied, the peak electric field was calculated to be as large as 3.8 V km−1, with associated GICs of up to 23 A using our MT model. Using our homogenous resistivity model, those peak values were 1.46 V km−1 and 25.8 A. We find that three 400 and 275 kV substations are the most likely locations for the Irish transformers to experience large GICs.

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Section: Observationsmentioning

confidence: 99%

Geomagnetically induced currents in the Irish power network during geomagnetic storms

et al. 2016

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“…It is based on the measured magnetic field and a local 1-D ground conductivity model specific for each observatory (Adam et al, 2012). Special attention is paid to missing values in the input magnetic field.…”

Section: Geomagnetic Data and Calculated Electric Fieldmentioning

confidence: 99%

“…To test this we chose the SOD station and changed the conductivity of the deep layer. The original model has two layers: a top layer of 30 km depth with resistivity 5000 m and an infinitely deep bottom layer with 200 m (Adam et al, 2012). The bottom layer resistivity is then changed to 20 m (same as UPV) and 2 m and ξ recalculated.…”

Section: Extreme Value Analysis -Applied To Db/dt and Ementioning

confidence: 99%

Extreme value analysis of the time derivative of the horizontal magnetic field and computed electric field

Wintoft¹,

Viljanen²,

Wik³

2016

Ann. Geophys.

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Abstract. High-frequency ( ≈ minutes) variability of ground magnetic fields is caused by ionospheric and magnetospheric processes driven by the changing solar wind. The varying magnetic fields induce electrical fields that cause currents to flow in man-made conductors like power grids and pipelines. Under extreme conditions the geomagnetically induced currents (GIC) may be harmful to the power grids. Increasing our understanding of the extreme events is thus important for solar-terrestrial science and space weather. In this work 1-min resolution of the time derivative of measured local magnetic fields (|dB h /dt|) and computed electrical fields (E h ), for locations in Europe, have been analysed with extreme value analysis (EVA). The EVA results in an estimate of the generalized extreme value probability distribution that is described by three parameters: location, width, and shape. The shape parameter controls the extreme behaviour. The stations cover geomagnetic latitudes from 40 to 70 • N. All stations included in the study have contiguous coverage of 18 years or more with 1-min resolution data. As expected, the EVA shows that the higher latitude stations have higher probability of large |dB h /dt| and |E h | compared to stations further south. However, the EVA also shows that the shape of the distribution changes with magnetic latitude. The high latitudes have distributions that fall off faster to zero than the low latitudes, and upward bounded distributions can not be ruled out. The transition occurs around 59-61 • N magnetic latitudes. Thus, the EVA shows that the observed series north of ≈ 60 • N have already measured values that are close to the expected maxima values, while stations south of ≈ • N will measure larger values in the future.

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“…We applied the ground conductivity map derived by Adam et al (2012). It consists of rectangular blocks (Fig.…”

Section: Ground Conductivity Modelsmentioning

confidence: 99%

Geomagnetically induced currents in Norway: the northernmost high-voltage power grid in the world

Myllys

Viljanen

Rui

et al. 2014

J. Space Weather Space Clim.

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Estimation of the electric resistivity distribution (EURHOM) in the european lithosphere in the frame of the eurisgic WP2 project

Cited by 48 publications

References 8 publications

Geomagnetically induced currents in the Irish power network during geomagnetic storms

Geomagnetically induced currents in the Irish power network during geomagnetic storms

Extreme value analysis of the time derivative of the horizontal magnetic field and computed electric field

Geomagnetically induced currents in Norway: the northernmost high-voltage power grid in the world

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