How to model the uncertainty of earthquake locations (Lat/Long/Depth) for a hypothetical seismic network?

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Any methods to train a neural network with random (stochastic) and non-measurable variable?

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How to generate MATLAB code from ANFIS model?

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In the tensile test for a nanocomposite sample, if the sample width decreases (thickness is constant), what does the stress-strain curve change?

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How to convert Shamsi dates into Christian dates in SPSS?

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Wave velocity and rock density paradox?

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Johnson et al., 2006 Geology of South Africa?

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How can the moment tensor inversion results can present good waveform fit (synthetic and observed waveform) from generalized Cut and Paste scheme?

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How to model a graphite-bearing rock using Perplex (pseudosections)?

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What is New Next Generation Attenuation Relationships (NNGAR) and how are they different from other attenuation relationships?

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Lorenzo Pastore Barzaghi

Dear Alireza,

I suggest the following paper and the reference therein:

https://www.researchgate.net/publication/234051291_A_comprehensive_approach_for_evaluating_network_performance_in_surface_and_borehole_seismic_monitoring?ev=prf_pub

Kind regards,

Lorenzo

Article A comprehensive approach for evaluating network performance ...

Vladimir Ernest Asming

Several times I've used Monte-Carlo modelling. I've modelled two kinds of location errors: due to inaccuracy of onset picking and due to travel time model uncertainty. For a set of testing points (grid) I did the following: compute arrival times from a supposed event occured in a point, add random values to the times. Then locate the event back by these arrivals but using a different travel time model. After several tests one can get reliable picture showing a systematic error due to travel time model + random scattering due to the travel time picking errors.

Dietrich Lange

have a look at the NonLinLoc program:

http://alomax.free.fr/nlloc/

This program uses a probabilistic, non-Linear, global-search using the Metropolis-Gibbs method. The program takes into account pick uncertainties and model uncertainty.

You can calculate synthetic arrival times for given locations. Then, you can re-locate your hypothetical catalogue and estimate the of uncertainties for your hypocentral parameters.