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Last modified
7/14/2009 5:02:36 PM
Creation date
5/20/2009 3:40:52 PM
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UCREFRP
UCREFRP Catalog Number
9568
Author
Resource Consultants Inc.
Title
Sediment Transport Studies of the Little Snake, Yampa, and Green River Systems.
USFW Year
1991.
USFW - Doc Type
Fort Collins, CO.
Copyright Material
NO
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<br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />I <br /> <br />4. <br /> <br />Pearson product-moment correlation coefficient was determined for the relationship <br />between the annual data in each division and the annual data for the area-averaged <br />composite variable. These correlation coefficients show the strength of the relationship <br />between the individual climate divisions and the area-wide composite values. <br /> <br />5. <br /> <br />Linear regression, with year as the independent variable, was conducted to determine the <br />strength of any linear changes over the study period and/or for subperiods within the <br />record. <br /> <br />6. <br /> <br />A Student's t test was conducted to determine if any significant changes in mean <br />conditions had occurred before and after the construction of Flaming Gorge Dam (the <br />first period extends from 1895-1962, the second period from 1963-1989); the t value is <br />computed as: <br /> <br />td = <br /> <br />Xl - X2 - (Ill - 112) <br /> <br />[ Nl S12 + N2 S; (~ + ~)]1/2 <br />N + N - 2 Nl N2 <br />1 2 <br /> <br />where (Ill and 112) is the expected difference in the two subperiod means (set equal to 0) <br />and s1 and s2 are the standard deviations within the subperiods. Absolute values of t <br />above 1.99 comrrm a significant change in means at the 0.95 level of confidence. <br /> <br />7. <br /> <br />The Bartlett test for inconsistency of dispersion was computed to determine if changes in <br />climate variance had occurred before and after the construction of the Flamin~ Gorge <br />~am. With only two subperiods involved, this Bartlett test reduces to a ratio s max / <br />s min where s2max is the larger of the two subperiod variances and s2min is the smaller <br />of the two variances. The ratio, M, is made positive when variances have increased and <br />negative when variances have decreased. When the absolute value of M exceeds 1.84, a <br />significant difference in subperiod variances is confrrmed at the 0.95 level of confidence. <br /> <br />4.5.4 Results <br /> <br />The results from these analyses are summarized in Table 43 and time series plots are presented in <br />Figures 4.8-4.10. Findings for each variable include: <br /> <br />I <br />I <br />I <br /> <br />I <br />I <br /> <br />I <br />t <br /> <br />1. Generally, mean annual temperatures in the study area have been rising at a statistically <br />significant rate. Examination of the time series plot of mean annual temperatures <br />(Figure 4.8) reveals a highly variable pattern from year to year. However, the 5-year <br />running means show a tendency for cooling from 1895 to the late 1910s, sharp warming <br />from the mid-to-Iate 1910s to the mid-1930s, and warming from the early 1970s to the <br />present. <br /> <br />At four of the six climate divisions, and for the area-averaged data, the Student's <br />t test results (Table 4.3) indicate a highly significant increase in the temperatures of the <br />1963-1989 subperiod when compared to the 1895-1962 subperiod. A linear trend fitted to <br />the 1895-1989 area-averaged annual data reveals a statistically significant rise in <br />temperature of 0.0140p yr-1 over the 95 years of record. The rise in temperature during <br />the most recent subperiod (1963-1989) is O.051'F yr-1; this rate of temperature increase is <br />more than four times larger than the rate for the entire 95-year period. No significant <br />changes in variance were determined in any of the temperature arrays. <br /> <br />4-11 <br />
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