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Last modified
1/26/2010 12:52:04 PM
Creation date
10/11/2006 11:57:59 PM
Metadata
Fields
Template:
Water Supply Protection
File Number
8507
Description
Rio Grande Project
State
CO
Basin
Rio Grande
Date
6/1/1996
Title
Assessment of Metal Transport into and out of Terrace Rervoir/ Conejos County/ Colorado/ April 994 through March 1995
Water Supply Pro - Doc Type
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<br />Copper <br /> <br />Generally, temporal variations in the percentage <br />of dissolved and suspended copper transported into <br />and out of Terrace Reservoir were similar to the <br />temporal variations for iron. During the pre-peak <br />snowmelt and peak snowmelt periods, generally <br />more than 80 percent of the copper was transported <br />into the reservoir in the suspended fraction (fig. 10). <br />However, the percentage of dissolved-copper fraction <br />increased to more than 90 percent during the post-peak <br />snowmelt period. As streamflow diminished during <br />the base-flow period, the percentage of dissolved- <br />copper fraction decreased. The two samples collected <br />upstream from the reservoir during the early spring <br />snowmelt period indicated that the percentage of <br />dissolved-copper fraction continued to decrease. <br />With the exception of the pre-peak snowmelt <br />period, the temporal variations in the percentage <br />of dissolved and suspended fraction of copper <br />downstream from Terrace Reservoir were similar <br />to the temporal variations that occurred upstream <br />from the reservoir (fig. 10). During the pre-peak <br />snowmelt period, the percentage of dissolved- <br />copper fraction ranged from about 35 to about <br />55 percent, more than two times greater than the <br />dissolved-copper fraction upstream from the reservoir. <br />During the peak snowmelt period, the percentage <br />of dissolved-copper fraction decreased to about <br />25 percent and, conversely, the percentage of <br />suspended fraction increased to about 75 percent. <br />These percentages were similar to those upstream <br />from the reservoir. During this period, when the <br />estimated reservoir residence times were short <br />(between 3 and 5 days), a large percentage of <br />copper was transported into and out of Terrace <br />Reservoir in the suspended fraction. As occurred <br />upstream from the reservoir, a marked increase <br />in the percentage of dissolved-copper fraction <br />occurred during the post-peak snowmelt and <br />the summer-flow periods. Between June 9 and <br />September 30 (the post-peak snowmelt, the <br />summer-flow, and the storm-runotfperiods), <br />almost all the copper was transported out of the <br />reservoir in the dissolved fraction. <br /> <br />Cadmium, Manganese, and ZInc <br /> <br />In general, almost all the cadmium was <br />transported into and out of the reservoir in the <br />dissolved form (fig. 10). During the pre-peak <br /> <br />snowmelt and peak snowmelt periods, most of <br />the manganese and zinc generally were transported <br />into the reservoir in the dissolved form. After about <br />June 9, almost all the manganese and zinc entering the <br />reservoir were in the dissolved form. Less temporal <br />variation occurred downstream from the reservoir. <br />In general, throughout the entire study period, <br />almost all the manganese was transported out <br />of the reservoir in the dissolved form; and, except <br />for the peak snowmelt period, zinc was predomi- <br />nanty transported out of the reservoir in the <br />dissolved form. <br /> <br />Correlations of Metal Concentrations, <br />Streamflow, Specific Conductance, <br />and pH <br /> <br />A correlation coefficient is a statistic that is <br />frequently used to describe the strength of a relation <br />between two variables (Iman and Conover, 1983). <br />Correlation coefficients are always between -I and <br />+ I. Positive correlation coefficients indicate that one <br />variable increases as the other variable increases; <br />negative correlation coefficients indicate that one <br />variable increases as the other variable decreases. <br />A correlation coefficient of zero indicates that each <br />variable has no predictive ability for the other. The <br />closer the correlation coefficient is to either a -lor + I, <br />the stronger the relation. A correlation analysis was <br />made on the data collected between April 1994 and <br />March 1995 at sites AR34.5 and AR31.0. Pearson <br />correlation coefficients were computed using pH, <br />the logarithms of the concentrations of the metals <br />of concern, streamflow, and specific conductance. <br />Because the metal concentrations, streamflow, and <br />specific conductance were assumed not to be normally <br />distributed, logarithms were used to transform the <br />concentrations of metals, streamflow, and specific <br />conductance. The results of the correlation analysis <br />are listed in tables 3 and 4; correlations were consid- <br />ered significant when the correlation coefficient had <br />a probability less than 0.05. Significant correlations <br />that had correlation coefficients between 0.707 and <br />0.865 were considered to be moderately correlated; <br />the percentage of the explained variation was between <br />50 and 75 percent. Significant correlations that had <br />correlation coefficients between 0.866 and 0.999 were <br />considered to be strongly correlated; the percentage of <br />the explained variation was greater than 75 percent. <br /> <br />20 Assessment 01 Metal Transport Into and Out of Tarrace Raaarvolr, ConaJos County, Colorado, <br />April 1894 Through March t995 0031 7 7 <br />
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