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WSP03492
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Last modified
1/26/2010 12:50:40 PM
Creation date
10/11/2006 11:46:22 PM
Metadata
Fields
Template:
Water Supply Protection
File Number
8220.101.10.A
Description
Colorado River-Water Projects-Glen Canyon Dam/Lake Powell-Glen Canyon Adaptive Management-AMWG
State
AZ
Basin
Colorado Mainstem
Water Division
5
Date
3/3/2004
Author
USGS
Title
AMWG Meeting Attachments-March 3-4 2004-Variations in Sand Storage Measured at Monumented Cross Sections in the Colorado River Between Canyon Dam and Lava Falls Rapid-Northern Arizona 1992-99
Water Supply Pro - Doc Type
Report/Study
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<br />used in the chanoe-in-area calculation. The Wilcoxon <br />rank-sum test (Devore, 1991; Helsel and Hirsch, 2000) <br />was used to detect statistically significant differences in <br />mean bed elevations. This test was used because it does <br />not require knowledge of the underlying statistical <br />distribution of the bed-elevation recordings. [n this <br />application the test has the null hypothesis that, at each <br />increment, the mean bed elevation in one measurement <br />is equal to the mean bed elevation in the next <br />measurement. To evaluate the hypothesis, the test <br />statistic W is computed on the basis of bed-elevation <br />data for the two measurements, and then a two-sided <br />p-value associated with rejecting the null hypothesis is <br />determined on the basis of the value of Wand the <br />number of depth recordings for each measurement. <br />For this investigation the null hypothesis was rejected <br />for p-values less than or equal to 0.05, which means <br />that the null hypothesis is rejected with a 5-percent <br />chance of it being true. <br />Because of differences in water level or in cross- <br />section geometry. or because of missing records as a <br />result of interference of the depth-sounder signal, the <br />depth at some parts of a cross-sectional transect may <br />not have been recorded; therefore, fewer than 10 depth <br />recordings exist for some 0.25-111 increments in some <br />cross-section measurements. For increments at which <br />the number of depth recordings equaled or exceeded <br />eight for both measurements, the p-value was <br />computed from the normal approximation for the <br />distribution of W For increments at which the number <br />of depth recordings for either or both measurements <br />was less than eight but greater than two, the p-value <br />was detennined from the exact distribution of W <br />The test was not applied for increments at which the <br />number of depth recordings for either or both <br />measurements was equal to or less than two. <br />The fraction of the cross section to which the rank-sum <br />test was applied and the fraction of the total cross <br />section for which bed-elevation differences between <br />measurements were signiticant were also calculated. <br />Changes in cross-sectional area between <br />measurements were calculated for each incremental <br />distance (0.25 m), using the selected or interpolated <br />point as the center of the increment, by first computing <br />the incremental area as the difference in mean bed <br />elevations multiplied by 0.25 m. The change in area for <br />the entire crnss section then was computed by summing <br />those incremental areas for which the p-value was less <br />than or equal tu 0.05. Although the original data from <br />the 10 transects recorded for cross section p06 on <br /> <br />August 24, 1992, were unrecoverable from the <br />database, the processed mean bed elevations at the <br />0.25-m increments had been calculated from the <br />original data and stored in the database. Calculations of <br />change in area using these data from this date. <br />therefore, did not consider the p-values. The change in <br />area of the bed elevation represents the change in <br />sediment storage in the cross section. As a consequence <br />of detennining changes in cross-sectional area using <br />this method, increases in area indicate sediment <br />deposition and decreases indicate sediment removal. <br />A standard error that can be applied to the <br />computed cross-sectional change in area was calculated <br />for an averaged cross section. The standard error is a <br />measure of the accuracy with which the computed <br />(mean) change in area estimates the true mean change <br />in area. A range, in which there is a <br />68.3-percent level of confidence that the true mean <br />change in area lies within this range, can be calculated <br />by subtracting the standard error from the computed <br />mean change in area for the lower end of the range and <br />by adding the standard error to the computed mean <br />change in area for the upper end of the range. For a <br />95-percent level of confidence, the range is calculated <br />as previously described, but the standard error is first <br />multiplied by 2 (Harford, 1985). <br />The standard error uses the standard deviation <br />calculated when computing mean bed elevations from <br />the 10 transects collected during a measurement <br />(fig. 9A, step 5), and the number of 0.25-m increments <br />for each transect, which is a function of stream width. <br />The standard error must be propagated through the <br />change-in-area calculations (fig. 98) and accumulated <br />change-in-area calculations (summing changes in area <br />for a cross section across many measurements). <br />A representative standard error was estimated and <br />propagated through the calculations. This representa- <br />tive standard error was calculated using a standard <br />deviation of 0.15 m for the elevations and a stream <br />width of 131 m. These values were calculated from the <br />transect data from all cross sections in the primary data <br />set (table 4) and represent an average standard <br />deviation and stream width. Table 5 shows the <br />estimated standard error that can be applied to changes <br />in area documented in this report. The table shows the <br />standard error for a single change in area calculated <br />between two measurements (I period) and accumu- <br />lated changes in area over several measurements <br />(periods), for 68.3-percent and 95-percent levels of <br />confidence. For example, if the change in area between <br /> <br />20 Variations in Sand Storage Measured io the Cot~r,;doRive; Between Gten~n~iri..) Leve Fells Rapid. Northern Arizo.e, l!1!12-gg <br />
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