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    Año Weibull # Orden P X F (X) X (Gumbel) Caudal Máximo

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    Joseph Estrella
    The document contains data on maximum annual flows from 1925 to 2008. It includes the Weibull distribution values, order, exceedance probability, and Gumbel distribution values. It then calculates averages, standard deviations, and determines the 100, 140, 200, and 500 year flood quantiles (QMAX) based on the Gumbel distribution. Margins of error are also calculated to compare informed QMAX values to those determined from the Gumbel distribution.

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    Año Weibull # Orden P X F (X) X (Gumbel) Caudal Máximo

    Uploaded by

    Joseph Estrella
    12 views6 pages
    The document contains data on maximum annual flows from 1925 to 2008. It includes the Weibull distribution values, order, exceedance probability, and Gumbel distribution values. It then calculates averages, standard deviations, and determines the 100, 140, 200, and 500 year flood quantiles (QMAX) based on the Gumbel distribution. Margins of error are also calculated to compare informed QMAX values to those determined from the Gumbel distribution.

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    The document contains data on maximum annual flows from 1925 to 2008. It includes the Weibull distribution values, order, exceedance probability, and Gumbel distribution values. It then calculates averages, standard deviations, and determines the 100, 140, 200, and 500 year flood quantiles (QMAX) based on the Gumbel distribution. Margins of error are also calculated to compare informed QMAX values to those determined from the Gumbel distribution.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    12 views6 pages

    Año Weibull # Orden P X F (X) X (Gumbel) Caudal Máximo

    Uploaded by

    Joseph Estrella
    The document contains data on maximum annual flows from 1925 to 2008. It includes the Weibull distribution values, order, exceedance probability, and Gumbel distribution values. It then calculates averages, standard deviations, and determines the 100, 140, 200, and 500 year flood quantiles (QMAX) based on the Gumbel distribution. Margins of error are also calculated to compare informed QMAX values to those determined from the Gumbel distribution.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    of 6

    Caudal

    Año Weibull # Orden P>x f(x) X (Gumbel)


    Máximo
    1925 1066 4424 1 0.01449275 0.98550725 3895.461
    1926 860 3642 2 0.02898551 0.97101449 3307.066
    1927 610 3200 3 0.04347826 0.95652174 2960.227
    1928 124 3107 4 0.05797101 0.94202899 2712.238
    1929 135 2500 5 0.07246377 0.92753623 2518.375
    1930 95 2250 6 0.08695652 0.91304348 2358.715
    1931 450 2220 7 0.10144928 0.89855072 2222.631
    1932 1900 2200 8 0.11594203 0.88405797 2103.776
    1933 620 2124 9 0.13043478 0.86956522 1998.057
    1934 438 2010 10 0.14492754 0.85507246 1902.677
    1935 379 1900 11 0.15942029 0.84057971 1815.641
    1936 390 1793 12 0.17391304 0.82608696 1735.476
    1937 39 1700 13 0.1884058 0.8115942 1661.060
    1938 508 1530 14 0.20289855 0.79710145 1591.522
    1939 1525 1525 15 0.2173913 0.7826087 1526.169
    1940 185 1516 16 0.23188406 0.76811594 1464.444
    1941 2220 1108 17 0.24637681 0.75362319 1405.888
    1942 405 1066 18 0.26086957 0.73913043 1350.121
    1943 2250 1042 19 0.27536232 0.72463768 1296.824
    1944 279 1010 20 0.28985507 0.71014493 1245.725
    1945 220 980 21 0.30434783 0.69565217 1196.593
    1946 134 900 22 0.31884058 0.68115942 1149.227
    1947 41 860 23 0.33333333 0.66666667 1103.451
    1948 43 845 24 0.34782609 0.65217391 1059.113
    1949 1010 790 25 0.36231884 0.63768116 1016.075
    1950 0 690 26 0.37681159 0.62318841 974.218
    1951 0 638 27 0.39130435 0.60869565 933.431
    1952 153 620 28 0.4057971 0.5942029 893.619
    1953 2200 610 29 0.42028986 0.57971014 854.691
    1954 44 508 30 0.43478261 0.56521739 816.567
    1955 350 450 31 0.44927536 0.55072464 779.172
    1956 1530 438 32 0.46376812 0.53623188 742.437
    1957 1700 405 33 0.47826087 0.52173913 706.298
    1958 690 390 34 0.49275362 0.50724638 670.694
    1959 900 390 35 0.50724638 0.49275362 635.568
    1960 81 379 36 0.52173913 0.47826087 600.866
    1961 88 370 37 0.53623188 0.46376812 566.537
    1962 115 350 38 0.55072464 0.44927536 532.529
    1963 37 279 39 0.56521739 0.43478261 498.794
    1964 33 220 40 0.57971014 0.42028986 465.284
    1965 2500 200 41 0.5942029 0.4057971 431.951
    1982 390 185 42 0.60869565 0.39130435 398.748
    1983 3200 153 43 0.62318841 0.37681159 365.625
    1984 980 135 44 0.63768116 0.36231884 332.533
    1985 112 134 45 0.65217391 0.34782609 299.421
    1986 25 128 46 0.66666667 0.33333333 266.235
    1987 790 124 47 0.68115942 0.31884058 232.920
    1988 10 115 48 0.69565217 0.30434783 199.414
    1989 845 112 49 0.71014493 0.28985507 165.652
    1990 26 101 50 0.72463768 0.27536232 131.564
    1991 25 95 51 0.73913043 0.26086957 97.069
    1992 1793 88 52 0.75362319 0.24637681 62.080
    1993 1042 87 53 0.76811594 0.23188406 26.496
    1994 1108 81 54 0.7826087 0.2173913 -9.799
    1995 87 80 55 0.79710145 0.20289855 -46.938
    1996 101 44 56 0.8115942 0.1884058 -85.083
    1997 638 43 57 0.82608696 0.17391304 -124.425
    1998 4424 41 58 0.84057971 0.15942029 -165.200
    1999 3107 39 59 0.85507246 0.14492754 -207.704
    2000 1516 37 60 0.86956522 0.13043478 -252.314
    2001 2124 33 61 0.88405797 0.11594203 -299.531
    2002 3642 26 62 0.89855072 0.10144928 -350.035
    2003 200 25 63 0.91304348 0.08695652 -404.795
    2004 14 25 64 0.92753623 0.07246377 -465.266
    2005 128 14 65 0.94202899 0.05797101 -533.801
    2006 370 10 66 0.95652174 0.04347826 -614.632
    2007 80 0 67 0.97101449 0.02898551 -716.777
    2008 2010 0 68 0.98550725 0.01449275 -866.935

    Promedio 810.79412
    Desviación
    Estándar 993.99053
    (Sx)
    Yn 0.55429
    Sn 1.18342
    α 839.93048
    µ 345.22905
    No. de
    68
    datos
    5000

    4000

    3000

    2000

    1000

    0
    0 0.2 0.4 0.6 0.8

    -1000

    -2000

    CALCULAMOS QMAX PARA UN TR=100,140,200,500

    TR 100 TR 140 TR
    P>X 0.01000 P>X 0.00714 P>X
    f(x) 0.99000 f(x) 0.99286 f(x)
    α 839.93048 α 839.93048 α
    µ 345.22905 µ 345.22905 µ
    QMAX 4209.035 QMAX 4492.856 QMAX

    MARGUEN DE ERROR
    QINFOME QWYG %
    4254 4209.035 1.05700517
    4607 4492.856 2.47762101
    4981 4793.363 3.76705481
    5942 5564.227 6.35767418
    weibull
    Gumbel

    0.8 1 1.2

    200 TR 500
    0.00500 P>X 0.00200
    0.99500 f(x) 0.99800
    839.93048 α 839.93048
    345.22905 µ 345.22905
    4793.343 QMAX 5564.227

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