Unrest at the Laguna del Maule volcanic field 2005–2020: renewed acceleration of deformation

AbstractThe Laguna del Maule volcanic field in Chile has been exhibiting unrest since 2005. New GPS and InSAR data reveal a second episode of accelerated deformation beginning in late 2016 and continuing through May 2020, with an uplift rate > 290 mm/year between 2019 and 2020. To explain the spatial and temporal pattern of deformation, we apply a dynamic model of viscous magma flowing through a conduit into a fluid-filled reservoir surrounded by a heterogeneous, viscoelastic crust. A Monte Carlo procedure optimizes the ellipsoid reservoir geometry and the inlet pressure history. The two episodes of accelerating uplift are each modeled with a pressure increase rate of $\sim $ ∼ 9 MPa/year. Since 2016, 0.10 km3 of magma was injected into the system for a total of 0.37 km3 since 2005.

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A Flexible and Complete Monte Carlo Procedure for the Study of the Choice of Parameters

Electron Probe Quantitation ◽

10.1007/978-1-4899-2617-3_7 ◽

1991 ◽

pp. 105-143 ◽

Cited By ~ 12

Author(s):

J. Henoc ◽

F. Maurice

Keyword(s):

Monte Carlo ◽

Monte Carlo Procedure

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A Simple Statistical Theory for Grain Growth in Materials.

MRS Proceedings ◽

10.1557/proc-209-251 ◽

1990 ◽

Vol 209 ◽

Author(s):

P. Mulheran ◽

J.H. Harding

Keyword(s):

Growth Rate ◽

Monte Carlo ◽

Statistical Theory ◽

Stochastic Model ◽

Grain Growth ◽

Three Dimensional ◽

Monte Carlo Procedure ◽

Short Time ◽

2D And 3D ◽

Good Agreement

A Monte Carlo procedure has been used to study the ordering of both two and three dimensional (2d and 3d) Potts Hamiltonians, further to the work of Anderson et al. For the 3d lattice, the short time growth rate is found to be much slower than previously reported, though the simulated microstructure is in agreement with the earlier studies. We propose a new stochastic model that gives good agreement with the simulations.

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A Monte Carlo procedure for the determination of the relaxation time constant of spin systems

Journal of Physics A General Physics ◽

10.1088/0305-4470/23/20/013 ◽

1990 ◽

Vol 23 (20) ◽

pp. 4519-4523

Author(s):

H Kokten ◽

M C Yalabik

Keyword(s):

Monte Carlo ◽

Relaxation Time ◽

Time Constant ◽

Spin Systems ◽

Relaxation Time Constant ◽

Monte Carlo Procedure

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Picking noisy refraction data using semblance supplemented by a Monte Carlo procedure and spectral balancing

Bulletin of the Seismological Society of America ◽

10.1785/bssa0770030942 ◽

1987 ◽

Vol 77 (3) ◽

pp. 942-957

Author(s):

C. A. Zelt ◽

J. J. Drew ◽

M. J. Yedlin ◽

R. M. Ellis

Keyword(s):

Monte Carlo ◽

Cross Correlation ◽

Signal To Noise Ratio ◽

Time Shift ◽

Head Wave ◽

Signal To Noise ◽

Seismic Section ◽

Monte Carlo Procedure ◽

Noise Ratio ◽

Refraction Data

Abstract In crustal refraction experiments, the crucial deeply refracted and head wave arrivals often have a low signal-to-noise ratio. A method to aid in the picking of noisy refraction data is presented which is applicable to any branch of a seismic section whose waveform is approximately invariant throughout the branch. The technique exploits the spatial correlation of arrivals and is based on the lateral coherency which results if the refracted arrivals are aligned by applying appropriate time shifts to each trace of the branch. The alignment of arrivals occurs iteratively and is accomplished through a cross-correlation of each trace with the stack of the section of the previous iteration. The iteration yielding the section with the highest degree of lateral coherency (semblance) is used to extract the travel-time pick of each trace. The pick, plus a possible d.c. component, is the negative of the time shift required to achieve arrival alignment. Two modifications can improve the performance of the picking routine. To prevent a cycle skipping problem, a Monte Carlo technique is implemented in which the cross-correlation function is transformed into a probability distribution so that the lag corresponding to the maximum cross-correlation is most probably selected. Second, to increase the coherency of the arrivals, a spectral balancing technique is applied in either the time or frequency domain. The picking routine is applied to both a synthetic and real data example, and the results suggest that the routine can be applied successfully to data with a signal-to-noise ratio as low as one. Also, the Monte Carlo procedure together with spectral balancing increases the final semblance over that obtained with the unmodified method.

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Efficient Monte Carlo Procedure for Systems with Fermions

Physical Review Letters ◽

10.1103/physrevlett.47.1628 ◽

1981 ◽

Vol 47 (22) ◽

pp. 1628-1631 ◽

Cited By ~ 167

Author(s):

J. E. Hirsch ◽

D. J. Scalapino ◽

R. L. Sugar ◽

R. Blankenbecler

Keyword(s):

Monte Carlo ◽

Monte Carlo Procedure

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Lightning Performance Evaluation of Italian 150 kV Sub-Transmission Lines

Energies ◽

10.3390/en13092142 ◽

2020 ◽

Vol 13 (9) ◽

pp. 2142

Author(s):

Fabio Massimo Gatta ◽

Alberto Geri ◽

Stefano Lauria ◽

Marco Maccioni ◽

Francesco Palone

Keyword(s):

Monte Carlo ◽

Performance Evaluation ◽

Transmission Lines ◽

Computational Cost ◽

Lightning Strikes ◽

Grounding System ◽

Monte Carlo Procedure ◽

Overhead Transmission Lines ◽

Realistic Assessment ◽

Low Computational Cost

A significant majority of overhead transmission lines’ (OHLs) outages is due to backflashovers caused by direct lightning strikes: the realistic assessment of the lightning performance is thus an important task. The paper presents the analysis of the lightning performance of an existing 150 kV Italian OHL, namely, its backflashover rate (BFOR), carried out by means of an ATP-EMTP-based Monte Carlo procedure. Among other features, the procedure makes use of a simplified pi-circuit for line towers’ grounding system, allowing a very accurate reproduction of transient behaviours at a very low computational cost. Tower grounding design modifications, aimed at improving the OHL lightning performance, are also proposed and discussed.

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