Irr WavesLongterm

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    Long term wave statistics

    Distributions of

    significant wave heights

    peak periodsmean wave directions

    etc

    Extreme value analysisindividual wave height statistics

    within a given sea state

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    Sources of data

    Measurements (often proprietary)

    Buoys

    Remote sensing systems

    Wave staffs

    Hindcast (Norwegian Metorological Institute)

    Computation of winds and waves in the past based

    on weather obseservations.

    Specific sites

    Every 6 hours (typically)

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    Table 3. Long

    term wave

    statistics table

    Above:

    Significant wave

    height Hm02

    Below:

    Average period

    Tm02.

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    Figure 32.

    Scatter plot ofHmo andTp.

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    Joint occurrence table ofHm0and Tm02.

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    Joint occurrence table for wave height and wave direction.

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    The graph shows the actual

    variation over a winter season for

    Hm0, Tp

    and the wave direction at Tp, qp.

    The solid lines are

    measurements and the dotted

    line are daily numericalpredictions carried out by a

    numerical wave model run by the

    Norwegian Meteorological

    Institute.

    The purpose of long termstatistics is to extract and

    compress the information in such

    recordings in the best possible

    way!

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    Joint occurrence table ofHm0and wind speed (WS).

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    Table 7.

    Significant wave

    height statistics

    table for Weibull

    plotting.

    ClassInterva[

    m]

    Upper limit

    [m]

    ni ni Fe,j (h) = Pr(Hm0

    < h)

    1 0.0 - 0.49 0.49 29 29 0.00800

    2 0.5 - 0.99 0.99 158 187 0.05150

    3 1.0 - 1.49 1.49 830 1017 0.28055

    4 1.5 - 1.99 1.99 746 1763 0.48634

    5 2.0 - 2.49 2.49 626 2389 0.65903

    6 2.5 - 2.99 2.99 415 2804 0.77352

    7 3.0 - 3.49 3.49 298 3102 0.85572

    8 3.5 - 3.99 3.99 189 3291 0.90786

    9 4.0 - 4.49 4.49 152 3443 0.94979

    10 4.5 - 4.99 4.99 57 3500 0.96552

    11 5.0 - 5.49 5.49 44 3544 0.97766

    12 5.5 - 5.99 5.99 36 3580 0.98759

    13 6.0 - 6.49 6.49 26 3606 0.99476

    14 6.5 - 6.99 6.99 11 3617 0.99779

    15 7.0 - 7.49 7.49 1 3618 0.99807

    16 7.5 - 7.99 7.99 3 3621 0.99890

    17

    8.0 - 8.49 8.49 0 3621 0.9989018 8.5 - 8.99 8.99 2 3623 0.99945

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    0

    0

    ( )

    1 expc

    F h

    h H

    H H

    : ln( ln(1 ))Y axis F

    0: ln( )X axis H H

    Weibull fitting of Hm0

    l ( l (1 ))

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    0

    0

    ( )

    1 expc

    F h

    h H

    H H

    : ln( ln(1 ))Y axis F

    0: ln( )X axis H H

    Weibull fitting of Hm0

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    Pr(Hm0 < h)

    0.00800

    0.05150

    0.28055

    0.48634

    0.65903

    0.77352

    0.85572

    0.90786

    0.94979

    0.96552

    0.97766

    0.98759

    0.99476

    0.997790.99807

    0.99890

    0.99890

    0.99945

    Upper

    limit [m]

    0.49

    0.99

    1.49

    1.99

    2.49

    2.99

    3.49

    3.99

    4.49

    4.99

    5.49

    5.99

    6.49

    6.997.49

    7.99

    8.49

    8.99

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    Pr(Hm0 < h)

    0.00800

    0.05150

    0.28055

    0.48634

    0.65903

    0.77352

    0.85572

    0.90786

    0.94979

    0.96552

    0.97766

    0.98759

    0.99476

    0.997790.99807

    0.99890

    0.99890

    0.99945

    Upper

    limit [m]

    0.49

    0.99

    1.49

    1.99

    2.49

    2.99

    3.49

    3.99

    4.49

    4.99

    5.49

    5.99

    6.49

    6.997.49

    7.99

    8.49

    8.99

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    00 00

    Pr ( ) 1 exp ,mc

    h HH h F h h HH H

    0 0 0 0

    1E 1

    mH m cH H H H

    0 0

    2 22 2

    0 0

    2 1E 1 1

    m mH m H cH H H

    ( ) ( )0

    3 3 3

    3 0 0

    3 1 2 1E 1 3 1 1 2 1

    m H cH H Hm m

    g g g g

    = - = - G + - G + G + + G +

    Weibull distribution .

    Estimation ofparameters by fitting the

    statistical moments of

    1., 2. and 3. order to

    observed sets of Hm0

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    The return period

    0,1 ( )pp m RR

    F H

    0,

    0,

    Prob(exceeding the design value

    only once in years)

    1 ( )

    p

    p

    m R

    p

    m Rp

    H

    R

    F HR

    is the average time betweeneach observation used

    to establish the probability distributuion

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    = 6hrs (H0 =0.8 m)

    R50 = 50yr

    0,50

    6( ) 1

    50 365 24

    1 0.0000134

    0.999986

    mF H

    0,50( )

    mF H

    Hmo,50yr H0 =10.8 m

    Hmo,50yr= 11.6 m

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    The encounter probability

    0,1 ( )pp

    m R

    RF H

    ( , ; ) is the probability

    that the design level associated with a return period

    will occur during a period of years

    p

    p

    E Y R

    R

    Y

    1 1

    ( , ; ) 1 1 1 1/p p p

    YY

    E Y R R R

    Percent chance of exceeding the return period design level during different time periodsY.

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    Distribution of maxima

    1) What is the largest wave experienced for a given sea sate?

    2) How do we use the answer of 1) when the sea state varies?

    .

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    max 1 2Pr Pr , , ... , NX x x X x X x

    1 2Pr Pr ...Pr N

    N XX X X x X x F x

    2

    0

    1 exp 2 ,Hm

    hF h

    H

    max

    2

    max

    0

    ( ) Pr 1 exp 2

    N

    H

    m

    hF h H h

    H

    max 00,57

    ln / 2 8ln

    mE H H N N

    Distribution of maxima

    Question 1) What is the largest wave experienced for a given sea sate?

    Consider the stochastic variableXandNindependent outcomes ofX:X1,...,XN.

    LetXmaxbe largest ofX1,...,XN,

    The statement thatXmax x is equivalent to thatX1x,X2x,...,XN x.

    By the assumption of independence:

    whereFXis the cumulative distribution function ofX.

    We recall that the wave heights in a sea state follow the Rayleigh distr.

    the highest wave expected in a given sea sate

    02/ ( is the duration of the sea state)mN A T A

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    Distribution of maxima

    Question 2) How do we use the answer of 1) when the sea state varies??

    Consider now a sea state "1" and a sea state "2".

    Exactly as before

    Pr(Hmax < h during both "1" and "2")

    = Pr(Hmax < h during "1")Pr(Hmax < h during "2")

    Ai =NiTm02

    It is obvious how this generalises as a product involving several different sea states:

    1 02 2 021 2

    1 2

    / /2 2

    0 0

    1 exp 2 1 exp 2

    m mA T A T

    m m

    h h

    H H

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    Distribution of maxima

    :

    max

    2

    max

    0( | ) Pr 1 exp ( 2

    ij

    i

    N

    H ij

    m

    h

    F h A H h H

    i

    j

    A= 7 years = 7 365 24 3600 s =220752000 s

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    Distribution of maxima

    :

    max

    2

    max

    0( | ) Pr 1 exp ( 2

    ij

    i

    N

    H ij

    m

    h

    F h A H h H

    Long term probability

    for individual wave heights

    based on several years of

    measured (H,T ) and Hm0 atan offshore site in Norwegian

    waters.

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    Exercise 12.1

    Find the expected maximum wave at a point in

    the sea ifHm0 has been 1 m and Tm02 = 6 s

    from the creation of the earth ( 4109 years).

    max 0

    8

    8

    0,57ln / 2

    8ln

    0,571 ln 6.7 10 / 2 3 m

    8ln 6.7 10

    mE H H N

    N

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    Exercise 12.2

    Two sea states, (Hm0 = 4 m, Tm02 = 10 s) and(Hm0 = 8 m, Tm02 = 12 s), have both lasted for 12

    hours. Determine the expected maximum wave

    for the heaviest sea state and show that the

    probability that a larger wave should haveoccurred during the first sea state is vanishingly

    small.

    max 00,57

    ln / 2 8lnmE H H N N

    max

    2

    max

    0

    ( ) Pr 1 exp 2

    H

    m

    hF h H h

    H