EBook Problems MultivariateNormal

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(EBook Problems Set - Mutivariate Normal Distribution)
(EBook Problems Set - Mutivariate Normal Distribution)
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===Problem 4===
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A city is located at the downstream of the confluence point of two rivers as shown. The annual maximum flood peak in River 1 has an average of <math>35 m^2/sec</math> with the standard deviation of <math>10 m^3/sec</math>, whereas in River 2 the mean peak flow rate is <math>25 m^3/sec</math> and the standard deviation is <math>10 m^3/sec</math>. The annual maximum peak flow rates in both rivers are normally distributed with a correlation coefficient of 0.5. Presently, the channel which runs through the city can accommodate up to <math>100 m^3/sec</math> flow rate without flooding the city. Please answer the following questions.
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[[Image:Problem 4.jpg|250x250px|center]]
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''(a) What are the mean and standard deviation of the annual maximum peak discharge passing through the city?
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''(b) What is the annual risk that the city will experience flooding based on the existing channel capacity? What is the corresponding return period?
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''(c) Calculate the probability that the city will experience flooding over a 10-year period.
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''(d) If the desired flooding risk over a 10 year period is to be reduced by half, how large should the present channel capacity be extended to?
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Revision as of 02:59, 14 January 2011

Contents

EBook Problems Set - Mutivariate Normal Distribution

Problem 1

Person1 and Person2 are travelling from point A to point D, but there are different routes to get from A to D. Person1 decides to take the A->B->D route, whereas Person2 takes the A->C->D route.

The travel times (in hours) between each pair of points indicated are normally distributed as follows:

T1 ~ N (6, 2)

T2 ~ N (4, 1)

T3 ~ N (5, 3)

T4 ~ N (4, 1)

Explain why these times are stochastic (and not exact or deterministic)? Although the travel times here generally can be assumed statistically independent, T3 and T4 are dependent with correlation coefficient 0.8.


(a) What is the probability that Person2 will not arrive at point D within 10 hours?

(b) What is the probability that Person1 will arrive at point D earlier than Person2 by at least one hour?

(c) Which route (A\rightarrowB\rightarrowD or A\rightarrowC\rightarrowD) should be taken if one wishes to minimize the expected travel time from A to D? Explain.


Problem 2

The settlement (in cm) of a structure shown in the following figure may be evaluated from

S = 0.3A + 0.2B + 0.1C

where A, B, and C are respectively the thickness (in m) of the three layers of soil as shown. Suppose A, B, and C are modeled as independent normal random variables as

A ~ N(5,1)

B ~ N(8,2)

C ~ N(7,1)


(a) Determine the probability that the settlement will exceed 4 cm.

(b) If the total thickness of the three layers is known exactly as 20 m; and furthermore, thicknesses A and B are correlated with correlation coefficient equal to 0.5, determine the probability that the settlement will exceed 4 cm.


Problem 3

A friction pile is driven through three soil layers as shown in the following figure:

The total bearing capacity of the friction pile (in tons) is obtained from

Q = 4A + B + 2C

Where A, B, and C are penetration lengths (in meters) through each of the three soil layers, respectively. Suppose A ~ N(5,3); B ~ N(8,2); A and B are negatively correlated with coefficient ρ = - 0.5. The total length of the pile is 30 meters. Determine the probability that the pile will fail to support the 40 ton load, i.e., the event that the capacity Q is less than 40 tons. [Hint: Observe C = 30 - (A+B)].


Problem 4

A city is located at the downstream of the confluence point of two rivers as shown. The annual maximum flood peak in River 1 has an average of 35m2 / sec with the standard deviation of 10m3 / sec, whereas in River 2 the mean peak flow rate is 25m3 / sec and the standard deviation is 10m3 / sec. The annual maximum peak flow rates in both rivers are normally distributed with a correlation coefficient of 0.5. Presently, the channel which runs through the city can accommodate up to 100m3 / sec flow rate without flooding the city. Please answer the following questions.

(a) What are the mean and standard deviation of the annual maximum peak discharge passing through the city?

(b) What is the annual risk that the city will experience flooding based on the existing channel capacity? What is the corresponding return period?

(c) Calculate the probability that the city will experience flooding over a 10-year period.

(d) If the desired flooding risk over a 10 year period is to be reduced by half, how large should the present channel capacity be extended to?




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