Earthquakes
and earthquake effects are controlled by many unknown factors, not always
allowing applications of deterministic methods of analysis. Some of these can be
treated statistically. The probability of an area being struck by an earthquake
is often referred to in engineering applications. The concept is illustrated
below[1].
Suppose an earthquake occurs in an area A. Consider a small area a
in A. Let the area a
be, further, made of very small areas Da
in it, so that SDa
= a. Let us
call a specified location hit by an earthquake if the peak value of the ground
acceleration there exceeds a certain specified value.
Let the probability of none of the areas Da
being hit by the earthquake be written as p (0,a).
The probability of another smaller area Da
outside not being hit by the earthquake may be written as:
p (0,
a+Da)
= p(0,a).p(0, Da)
= p(0,a).(1- Da/A)
or
(1/ Da
).[p(0,a+Da)-p(0,a)] +(1/A).p(0,a)=0
Letting
Da
-> 0 this equation becomes
dp/da
+ (1/A).p =0
The
solution of this equation is given by:
p(0,a) = e –a/A
The
probability that the area a will be hit by the earthquake is, then,
given by
p(1,a)
= 1 - e –a/A
This
is the expression for probability in space. A similar expression for probability
can be derived, by analogy, in the time domain. The probability of the
earthquake hitting during a time interval of D years (where D years may be the
life of the engineering structures in the area) may be written as:
p(1,D)=1-e-D/T
Equating the two expressions of probability one gets the return period
of the event[2], having a probability of
occurence, p(1,a), during an interval of D
years :
T
= -D/[Loge {1 – p (1,a)}]
In statistical analysis it is often assumed that the number of
earthquakes in year is a Poisson variable and the earthquake magnitude, x, is a
random variable with cumulative density function F (x) = Pr (X £ x) =1 –e -bx;
x ³0. In this model the probability, RD
of an earthquake of magnitude M in D years is given by [3]:
RD
= 1 –Exp. (-aDe-bM)
Here a
and b are constants related to the seismicity
parameters specified by the earthquake magnitude frequency relationship,
namely:Log 10 N (M) = a-bM
Where N (M) is the number of earthquakes occurring annually in the
region and having magnitudes equal to or greater than M, and a = Log 10
N (0) and b the constant b determines the distribution of magnitudes in the
earthquake population. (see
Frequencies of Earthquake occurrence 4.3
).
a
= Exp. [a Log e10] and b = b Log e 10
Results of a typical calculation are shown in the Figure below.
Figure
showing Probabilities of Earthquakes of Different Magnitude in an area of
Moderate Seismicity (a=4.0, b=1.0 for a 300 kilometers radius) over a period of
100 years.
[1] Housner, G.W.(1975). Strong Ground Motion, Chapter 4 in Earthquake Engineering, R.L. Weigel (Ed.), Perentic Hall, N.J.
[2] Lomnitz, C.(1976). Global Tectonics And Earthquake Risk, Developments in Geosciences, Elsevier.
[3] Epstein,B. and Lomnitz,C. (1966). A model for the occurrence of large earthquakes, Nature 211,954-955.