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<br />I <br />I <br />I <br /> <br />disperse the data. A standard deviation of 0.0 would only occur for data <br />that are all equal. The skewness coefficient is a measure of symmetry. <br />Data with positive skewness consists of values which are mostly less than <br />the mean value, while data with negative skewness exhibit the opposite <br />tendency. The average annual streamflow in the augmented record is <br />slightly less that that of the historic data. This is due to inclusion of <br />the 1930's drought in the augmented record as compared to the lack of that <br />same data in the historic data (the streamflow gauge is not continuous from <br />1929 to 1938). The augmented record thus provides a more realistic repre- <br />sentation of the range of drought conditions that may be encountered in the <br />Big Thompson River. <br /> <br />I <br />I <br />I <br />I <br /> <br />I <br />I <br />I <br /> <br />4.4 GENERATION OF SYNTHETIC STREAMFLOW RECORD FOR THE BIG THOMPSON RIVER <br /> <br />I <br /> <br />The augmented historical records of Big Thompson native flows were used to <br />generate a synthetic record of values which is statistically identical to <br />the input record(s). This procedure is based on the "Markov model" (a <br />statistical theory) which generates flow values using an equation which has <br />both a direct and a random component: <br /> <br />I <br />I <br />I <br />I <br /> <br />qi = d. + e. <br />1 1 <br /> <br />where: <br /> <br />q. = Big Thompson monthly average flow for month i; <br />1 <br />d. direct component for month i; and <br />1 <br />ei = random component for month 1. <br />i = 1, 2, . . . 12 to represent Jan., Feb. , . . Dec. <br /> <br />I <br />I <br /> <br />The direct component, d., is based on the mean for month i and the flow for <br />1 <br />the previous months. Prior flows are considered since it has been shown <br />that most streamflows show a dependence on flows in preceding months <br />(Fiering and Jackson 1971). The influence of prior flows is represented by <br />the serial correlation coefficient. This value will be in the range from <br />-1.0 to 1.0, with a value of -1.0 or 1.0 representing an exact correlation <br /> <br />I <br />I <br /> <br />4-9 <br />