Using statistics for Siletz River peak flows, 1979-1999 (Table 1), generate a series of normally distributed synthetic streamflows by following these guidelines.
(a) By performing a regression of flows for the period 1980-1999 vs. flows during 1979-1998, verify that the serial correlation coefficient for this time period is 0.1411.
(b) Verify that the mean and unbiased standard deviation for the full 21-year period are 19,343 cfs and 7217 cfs, respectively. Use these values for part (c).
(c) The list of 21 N(0,1) random numbers below was generated in Excel using the Tools/Data Analysis/Random Number Generation option with a seed of 12345. (The option for a seed allows one to generate identical sequences of random numbers.) Assuming that the initial flow = mean (at “step 0”), generate a sequence of 21 random flows using Equation. Compute the mean, standard deviation, and serial correlation coefficient of the synthetic flow sequence to see how well these statistics are preserved. Optional: Create a new series of N(0, 1) random numbers and repeat the generation. Notice that as the mean and standard deviation of the random numbers differ from 0 and 1, respectively, so do the mean and standard deviation of the synthetic sequence differ from their historic values.
Table
n 0 | z n/a | n | z | n | z |
i | −0.7341 | 8 | −0.9733 | 15 | −0.5506 |
2 | 0.2143 | 9 | 1 .21 1 9 | 16 | −0.1774 |
3 | 0.7968 | 10 | 0.5659 | 17 | 0.4409 |
4 | 0.4544 | 11 | −0.1092 | 18 | −0.4908 |
5 | −0.9235 | 12 | −0.1214 | 19 | 0.8266 |
6 | 0.5659 | 13 | 0.3157 | 20 | −1.1724 |
7 | 0.9885 | 14 | 0.4213 | 21 | −0.4906 |
Table 1
Data and Frequency Analysis Computations for the Siletz River, at Siletz, Oreaon
Wate Year | Peak Flow (cfs) | Water Year | Peak Flow (cfs) | Water Year | Peak Flow (cfs) |
1925 | 18,800 | 1950 | 16,400 | 1975 | 21,500 |
1926 | 16,800 | 1951 | 16,600 | 1976 | 23,600 |
1927 | 19,500 | 1952 | 19,400 | 1977 | 8630 |
1928 | 30,700 | 1953 | 24,600 | 1978 | 23,100 |
1929 | 11,200 | 1954 | 21,900 | 1979 | 16,600 |
1930 | 11,500 | 1955 | 21,200 | 1980 | 14,500 |
1931 | 34,100 | 1956 | 22,700 | 1981 | 26,500 |
1932 | 21,800 | 1957 | 20,900 | 1982 | 21,400 |
1933 | 19,800 | 1958 | 22,200 | 1983 | 18,300 |
1934 | 28,700 | 1959 | 14,200 | 1984 | 11,300 |
1935 | 15,000 | 1960 | 14,200 | 1985 | 13,600 |
1936 | 19,600 | 1961 | 24,400 | 1986 | 17,100 |
1937 | 16,100 | 1962 | 20,900 | 1987 | 20,000 |
1938 | 30,100 | 1963 | 26,300 | 1988 | 19,200 |
1939 | 17,800 | 1964 | 19,700 | 1989 | 15,400 |
1940 | 21,400 | 1965 | 32,200 | 1990 | 17,200 |
1941 | 13,200 | 1966 | 19,500 | 1991 | 20,500 |
1942 | 25,400 | 1967 | 19,100 | 1992 | 10,800 |
1943 | 26,500 | 1968 | 18,600 | 1993 | 12,000 |
1944 | 12,800 | 1969 | 14,500 | 1994 | 18,300 |
1945 | 22,400 | 1970 | 17,200 | 1995 | 18,800 |
1946 | 21,600 | 1971 | 18,100 | 1996 | 34,700 |
1947 | 28,000 | 1972 | 31,800 | 1997 | 22,700 |
1948 | 21,900 | 1973 | 19,700 | 1998 | 16,800 |
1949 | 29,000 | 1974 | 20,900 | 1999 | 40,500 |
Data were downloaded for USGS Gage Number 14305500 from the USGS website, http://water. usgs.gov/nwis/. The continuous record from 1925 has been used.
Equation
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