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WSP11764
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Last modified
1/26/2010 3:18:48 PM
Creation date
10/12/2006 5:09:23 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8273.100
Description
Colorado River Basin Salinity Control - Federal Agencies - Bureau of Reclamation
Basin
Colorado Mainstem
Water Division
5
Date
1/1/1984
Author
BOR
Title
Water Quality of the Colorado River System - Historical Trends in Concentration/ Load/ and Mass Fraction of Inorganic Solutes
Water Supply Pro - Doc Type
Report/Study
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<br />o <br />CD <br />to <br />*'" <br /> <br />SUMMARY <br /> <br />This report presents the results of a study initiated <br />by the Colorado River Water Quality Office of the <br />USBR (Bureau of Reclamation) to identify possible <br />systematic changes in salt loading tothe Colorado <br />River and its major tributaries. A systematic change <br />may involve long-term alterations of natural <br />sources of salt or the impact of human activities on <br />salt loading or salt transport in the river. Systematic <br />changes have been suggested as a possible cause <br />ofthe recent decreases in the salt concentration at <br />Imperial Dam in the Lower Basin. Reducing the <br />salt load in the river is the goal of the Colorado <br />River Water Quality Improvement Program. If <br />systematic changes in the salt loading character- <br />istics of the basin have occurred, they must be <br />considered in formulating plans to achievesalinity <br />reduction. <br /> <br />A systematic change might manifest itself as a <br />long-term shift in the concentration, load (absolute <br />mass), or mass fraction (relative mass) of one or <br />more of the major solutes in the system. Probable <br />shifts can be identified using trend analysis or by <br />comparison of mean values before and after major <br />alterations within the basin.. Both approaches <br />were used in this study. Regression techniques <br />were employed to test for significant trends and <br />Student's t test was used to assess the mean value <br />changes. Six major ions were selected for analysis: <br />calcium, magnesium, sodium, chloride, sulfate, <br />and bicarbonate. Together these account for more <br />than95 percent ofthetotal solute load atthe major <br />gage sites in the basin. Fifteen sites, representing <br />the major divisions of the basin, were studied. <br />Data for these sites were obtained from the USGS <br />(U.S. Geological Survey) computerized water data <br />base, WATSTORE. <br /> <br />To isolate potential sources of significant trends or <br />mean value changes, these changes must be <br />traceable from downstream to upstream gage <br />sites. Therefore, consistent data sets were required <br />for all stations. The first step in the study was to <br />create a data file of representative monthly average <br />streamflow and solute concentration values for <br />the selected gage sites. These computer data files <br />are being maintained for future research on the <br />Colorado River system. <br /> <br />The data generated was first used to test various <br />methods relating solute concentration to stream- <br />flow. This was necessary so changes in concen- <br />tration caused by natural flow variations could be <br />accounted for in subsequent regression analyses. <br />A theoretical residence time model was compared <br /> <br />with the widely used empirical power model. The <br />two models produced equally good predictions for <br />periods prior to flow regulation. These models are <br />available for updating input data used in the USBR <br />Colorado River Simulation System models. <br /> <br /> <br />Although 15 gage sites were selected, trend <br />analyses were completed for only the 12 sites that <br />had adequate records of water quality prior to <br />major flow regulation. Several different regression <br />models were used, and their results were generally <br />corroborative. Significant negative (decreasing) <br />trends were found for magnesium, sodium, and <br />sulfate at approximately 75 percent ofthe sites. At <br />the Lees Ferry and Grand Canyon gage sites, <br />concentrations of these three ions declined in <br />proportion to their electrical charge and relative <br />mass, resulting in a reduction in TDS (total dis- <br />solved solids) of approximately 2 mg/L per year <br />for the low flow period, December-March, from <br />1926to 1961. <br /> <br />After construction of the Colorado River Storage <br />Project reservoirs in the early 1960's, the variability <br />of both solute concentrations and mass fractions <br />was reduced at downstream gaging stations. This <br />reduction was generally proportional tothe degree <br />of regulation. At some sites, trends toward further <br />reduction in variability developed after initial reser- <br />voir filling. Several other activities of man, including <br />mining, urbanization, and salinity control practices, <br />may have affected water quality in the basin <br />during this period. Impacts decreased with distance <br />downstream, but were often identified at more <br />than one gaging station. However, the major <br />reservoirs, Lakes Powell and Mead, concealed all <br />impacts that had occurred in the Upper Basin. <br /> <br />No significant trends in the load for any solute <br />have been identified for the station below Hoover <br />Dam since 1965; however, the concentration of all <br />solutes except chloride decreased there during at <br />least one season. <br /> <br />Additional research is recommended to determine <br />the possibility and probable magnitude of con- <br />tinuing impacts of major reservoirs on down- <br />stream salinity. Also, because of the relative <br />chemical stability at the gage site below Hoover <br />Dam, the changes observed downstream at <br />Imperial Dam may have resulted from changing <br />conditions in the Lower Basin area. Therefore, an <br />extension of the present study, with additional <br />Lower Basin gage sites included, is recommended. <br />This extension should also update the monthly <br />data' base and data base generation procedures, <br />and limit statistical analyses to those recommended <br />in the present work. <br />
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