model_prior.distr: Prior distribution estimation

In amignan/rseismTLS: Induced Seismicity Traffic Light System

Description

Estimates the prior distributions of the 3 parameters of the induced seismicity model of Mignan et al. (2017), model_rate.val().

Usage

model_prior.distr(
  par,
  ai = seq(-5, 1, 0.01),
  bi = seq(0.5, 2, 0.01),
  taui = seq(0.1, 15, 0.05)
)

Arguments

par	a data frame of model parameters fitted from past stimulations b the slope of the Gutenberg-Richter law a_fb the underground feedback activation (in m^-3) tau the mean relaxation time (in days)

Details

The priors of b and a_fb are defined as Beta distributions while the prior of tau is defined as a Gamma distribution. Read Broccardo et al. (2017) for details. The par file of Mignan et al. (2017) (par_Mignan_etal_SciRep2017.dat) is provided as standard input. The proposed bi, ai and taui increments are based on the ranges given in that file.

Value

the list of the prior distributions for each of the 3 model parameters:

• bi the vector of b increments

• b.prior the prior Beta distribution of b

• ai the vector of a_fb increments

• a.prior the prior Beta distribution of a_fb

• taui the vector of tau increments

• tau.prior the prior Gamma distribution of tau

References

Broccardo M., Mignan A., Wiemer S., Stojadinovic B., Giardini D. (2017), Hierarchical Bayesian Modeling of Fluid‐Induced Seismicity. Geophysical Research Letters, 44 (22), 11,357-11,367, doi: 10.1002/2017GL075251

Mignan A., Broccardo M., Wiemer S., Giardini D. (2017), Induced seismicity closed-form traffic light system for actuarial decision-making during deep fluid injections. Sci. Rep., 7, 13607, doi: 10.1038/s41598-017-13585-9

See Also

model_rate.val, model_joint_prior.distr, par_Mignan_etal_SciRep2017.dat

amignan/rseismTLS documentation built on July 4, 2020, 1:04 p.m.