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Gutenberg–Richter law

Gutenberg–Richter law is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Gutenberg–Richter law rather than just read about it. In short: In seismology, the Gutenberg–Richter law (GR law) expresses the relationship between the magnitude and total number of earthquakes in any given region and time period of at least that magnitude. log 10 ⁡ N = a − b M {\displaystyle \log _{10}N=a-bM} or N = 10 a − b M {\displaystyle N=10^{a-bM}} where N {\displaystyle N} is the number of events having a magnitude ≥ M {\displaystyle \geq M} , a {\displaystyle a} and b…

Gutenberg–Richter law — main illustration
Gutenberg–Richter law — illustration

Key takeaways

  • Gutenberg–Richter law belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Gutenberg–Richter law to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Gutenberg–Richter law from memory before moving on to harder problems.

Reference excerpt

In seismology, the Gutenberg–Richter law (GR law) expresses the relationship between the magnitude and total number of earthquakes in any given region and time period of at least that magnitude.

log 10 ⁡ N = a − b M {\displaystyle \log _{10}N=a-bM}

or

N = 10 a − b M {\displaystyle N=10^{a-bM}}

where

N {\displaystyle N} is the number of events having a magnitude ≥ M {\displaystyle \geq M} ,

a {\displaystyle a} and b {\displaystyle b} are constants, i.e. they are the same for all values of N {\displaystyle N} and M {\displaystyle M} . Since magnitude is logarithmic, this is an instance of the Pareto distribution. The Gutenberg–Richter law is also widely used for acoustic emission analysis due to a close resemblance of acoustic emission phenomenon to seismogenesis.

Background The relationship between earthquake magnitude and frequency was first proposed by Charles Francis Richter and Beno Gutenberg in a 1944 paper studying earthquakes in California, and generalised in a worldwide study in 1949. This relationship between event magnitude and frequency of occurrence is remarkably common, although the values of a and b may vary significantly from region to region or over time.

The parameter b (commonly referred to as the "b-value") is commonly close to 1.0 in seismically active regions. This means that for a given frequency of magnitude 4.0 or larger events there will be 10 times as many magnitude 3.0 or larger quakes and 100 times as many magnitude 2.0 or larger quakes. There is some variation of b-values in the approximate range of 0.5 to 2 depending on the source environment of the region. A notable example of this is during earthquake swarms when b can become as high as 2.5, thus indicating a very high proportion of small earthquakes to large ones. There is debate concerning the interpretation of some observed spatial and temporal variations of b-values. The most frequently cited factors to explain these variations are: the stress applied to the material, the depth, the focal mechanism, the strength heterogeneity of the material, and the proximity of macro-failure. The b-value decrease observed prior to the failure of samples deformed in the laboratory has led to the suggestion that this is a precursor to major macro-failure. Statistical physics provides a theoretical framework for explaining both the steadiness of the Gutenberg–Richter law for large catalogs and its evolution when the macro-failure is approached, but application to earthquake forecasting is currently out of reach. Alternatively, a b-value significantly different from 1.0 may suggest a problem with the data set; e.g. it is incomplete or contains errors in calculating magnitude.

There is an apparent b-value decrease for smaller magnitude event ranges in all empirical catalogues of earthquakes. This effect is described as "roll-off" of the b-value, a description due to the plot of the logarithmic version of the GR law becoming flatter at the low magnitude end of the plot. This may in large part be caused by incompleteness of any data set due to the inability to detect and characterize small events. That is, many low-magnitude earthquakes are not catalogued because fewer stations detect and record them due to decreasing instrumental signal to noise levels. Some modern models of earthquake dynamics, however, predict a physical roll-off in the earthquake size distribution. The a-value represents the total seismicity rate of the region. This is more easily seen when the GR law is expressed in terms of the total number of events:

N = N T O T 10 − b M {\displaystyle N=N_{\mathrm {TOT} }10^{-bM}\ }

where

N T O T = 10 a , {\displaystyle N_{\mathrm {TOT} }=10^{a},\ }

the total number of events (above M=0). Since 10 a {\displaystyle 10^{a}\ } is the total number of events, 10 − b M {\displaystyle 10^{-bM}\ } must be the probability of those events. Modern attempts to understand the law involve theories of self-organized criticality or self similarity.

Generalization New models show a generalization of the original Gutenberg–Richter model. Among these is the one released by Oscar Sotolongo-Costa and A. Posadas in 2004, of which R. Silva et al. presented the following modified form in 2006,

… excerpt ends here. Continue reading the full article.

Illustrations

Gutenberg–Richter law: Gutenberg–Richter law fitted to the aftershocks of the August 2016 Central Italy earthquake, during the Aug 22 – Sep 1 period. Notice that the linear fit fails at the upper and lower end, due to lack of registered events. Since the recording period is only 10 days, events of magnitude greater than 6 has not yet appeared. Since the recording devices are unable to detect earthquake events near or below the background noise level, most of the events with magnitude lower than 1.5 are not detected.
Gutenberg–Richter law fitted to the aftershocks of the August 2016 Central Italy earthquake, during the Aug 22 – Sep 1 period. Notice that the linear fit fails at the upper and lower end, due to lack of registered events. Since the recording period is only 10 days, events of magnitude greater than 6 has not yet appeared. Since the recording devices are unable to detect earthquake events near or below the background noise level, most of the events with magnitude lower than 1.5 are not detected.
Gutenberg–Richter law: GR law plotted for various b-values
GR law plotted for various b-values
Gutenberg–Richter law: Roll-off compared to ideal GR law with b=1
Roll-off compared to ideal GR law with b=1
Gutenberg–Richter law: Magnitude of the August 2016 Central Italy earthquake (red dot) and aftershocks (which continued to occur after the period shown here)
Magnitude of the August 2016 Central Italy earthquake (red dot) and aftershocks (which continued to occur after the period shown here)

Worked examples

Example 1 — a first encounter with Gutenberg–Richter law

Start with the simplest possible case. Write down what Gutenberg–Richter law claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Gutenberg–Richter law before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Gutenberg–Richter law ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Gutenberg–Richter law

In research
Gutenberg–Richter law appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Gutenberg–Richter law in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Gutenberg–Richter law is common in secondary-school and first-year university syllabi. It links to neighbouring topics Independence (probability theory), Probabilistic models, Seismology, so understanding it makes those chapters shorter.
In everyday life
Look for Gutenberg–Richter law outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Gutenberg–Richter law in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Gutenberg–Richter law means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Gutenberg–Richter law out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Gutenberg–Richter law in simple terms?

In seismology, the Gutenberg–Richter law (GR law) expresses the relationship between the magnitude and total number of earthquakes in any given region and time period of at least that magnitude. log 10 ⁡ N = a − b M {\displaystyle \log _{10}N=a-bM} or N = 10 a − b M {\displaystyle N=10^{a-bM}} wher…

Why does Gutenberg–Richter law matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Gutenberg–Richter law?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Gutenberg–Richter law.

Tags

  • Independence (probability theory)
  • Probabilistic models
  • Seismology

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