Math 2.0

Geophysics Definition

Probabilistic seismic hazard analysis

Builds on Gutenberg–Richter lawLaw of total probabilityPoisson point process

Definition

Fix a site and a ground motion measure YY, such as peak ground acceleration. Let there be finitely many seismic sources k=1,…,Kk = 1, \dots, K. Source kk produces earthquakes with magnitude at least m0m_0 at the annual rate νk\nu_k. Their magnitudes have density fM,kf_{M,k}, often a truncated Gutenberg–Richter law, and their distances to the site have density fR,kf_{R,k}. A ground motion model gives P(Y>y∣m,r)P(Y > y \mid m, r) for an earthquake of magnitude mm at distance rr. Probabilistic seismic hazard analysis computes the hazard curve λ(y)=∑k=1Kνk∬P(Y>y∣m,r) fM,k(m) fR,k(r) dm dr,\lambda(y) = \sum_{k=1}^{K} \nu_k \iint P(Y > y \mid m, r)\, f_{M,k}(m)\, f_{R,k}(r)\, dm\, dr, the annual rate of earthquakes that produce Y>yY > y at the site. If these exceedances form a Poisson process in time, the probability of at least one exceedance in tt years is 1−e−λ(y)t1 - e^{-\lambda(y) t}.

Remarks

The integral is the law of total probability applied to the magnitude and distance of a random earthquake, multiplied by the rate of earthquakes. Example: a probability of 10%10\% in 5050 years corresponds to λ=−ln⁡(0.9)/50≈0.00211\lambda = -\ln(0.9)/50 \approx 0.00211 per year, that is, a return period 1/λ≈4751/\lambda \approx 475 years. Non-example: a deterministic analysis takes one chosen scenario earthquake, such as the largest credible earthquake on the nearest fault. It does not sum over the rates of all scenarios, so it does not give λ(y)\lambda(y). The ground motion model usually takes ln⁡Y\ln Y normally distributed given mm and rr, and the scatter of this distribution has a large effect on λ(y)\lambda(y) at long return periods. Disaggregation splits λ(y)\lambda(y) into the contributions of magnitude and distance bins.

Reading path

To understand this page from the ground up, read these 49 pages in order. The foundations come first.

  1. Construction of the reals from Cauchy sequences concept
  2. Cumulative distribution function concept
  3. Element definition
  4. Exponential distribution concept
  5. Integers object
  6. Moment concept
  7. Moment magnitude scale concept
  8. Ordered field definition
  9. Poisson point process concept
  10. Probability density function concept
  11. Proposition concept
  12. Random experiment concept
  13. Rational numbers object
  14. Richter magnitude scale concept
  15. Seismic moment concept
  16. Set definition
  17. Ring of integers statement
  18. Pareto distribution example
  19. Conjunction definition
  20. Disjunction definition
  21. Implication definition
  22. Predicate definition
  23. Empty set object
  24. Family of sets definition
  25. Intersection definition
  26. Union definition
  27. Sample space definition
  28. Existential quantifier definition
  29. Universal quantifier definition
  30. The rationals form a field statement
  31. Gutenberg–Richter law statement
  32. Disjoint sets definition
  33. Union of a family of sets definition
  34. Subset definition
  35. The rationals form an ordered field statement
  36. Partition of a set definition
  37. Universal set definition
  38. Order on the reals definition
  39. Power set definition
  40. Complement definition
  41. Interval definition
  42. Sigma-algebra definition
  43. Event definition
  44. Probability axioms concept
  45. Probability measure definition
  46. Probability space definition
  47. Conditional probability definition
  48. Law of total probability statement
  49. Probabilistic seismic hazard analysis definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Seismic_hazard
About this page
TagMYM9YAWWPY
URIm2://MYM9YAWWPY
Kinddefinition
WritingW0 stub
MSC86A15, 62P12, 60G55
DefinesProbabilistic seismic hazard analysis
UsesGutenberg–Richter law, Law of total probability, Poisson point process
Changed3 November 2026

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