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<br />t <br />~ <br /> <br />[ <br />~ <br />~ <br />I <br />~ <br />~ <br />1 <br />~ <br />I <br />I <br />r <br /> <br />I <br />I <br />I <br />. <br />I <br /> <br />t <br />r <br />I <br /> <br />N <br />o <br />0') <br />0' <br /> <br />CHAPTER IV <br />FIELD INVESTIGATION RESULTS FROM THE STUDY <br /> <br />Salinity and the Price River Basin <br /> <br />The time pattern in which the salt load <br />is carried by the Price River results from a <br />complex combination of interactions among <br />time variable hydrologic processes. Natural <br />groundwaters seep slowly into the stream to <br />evaporate in the dry bed leaving encrusted <br />salt behind. Waters diverted for irrigation <br />leach salts from soil, and the return <br />flows also add salt as the seep into the <br />stream. Storm runoff hydrographs rise <br />rapidly, picking up salts dissolved on the <br />bed, churning bed sediments, and carrying the <br />salts mixed with those sediments. After the <br />storm, the flows recede rapidly," and the <br />salts and sediments return to the bed a <br />distance downstream from where they were <br />before, determined by the size of the storm. <br />Return flows work to keep the stream flowing <br />through the dry season, carrying a more <br />concentrated salt load, initially because of <br />the salts leached from the soil and over the <br />long run because of the consumptive use of <br />wa ter. <br /> <br />For general representation of the time <br />patterns, daily flows and conductivities (a <br />surrogate for total dissolved solids) are <br />plotted for 1970 in Figure 4.1. As flow is <br />an important factor determining salt trans- <br />port, daily conductivities are plotted versus <br />average daily flows for the Price River at <br />woodside for the 5-year period 1970-74 on a <br />log-log basis (Figure 4.2). The line follow- <br />ing the form of Equation 1.3 and having the <br />best fit is shown on the figure and has a <br />correlation coefficient of 0.648. The <br />student t-test (Lapin 1975) showed the null <br />hypothes is that the slope of the regression <br />line was equal to zero to be rejected at the <br />99 percent confidence level. The conclusion <br />at this point was that flow is definitely <br />significant in determining salinity but that <br />other factors also need to be considered. <br /> <br />According to Hendrickson and Krieger <br />(1964), one needs to explore the different <br />mineral dissolution characteristics of water <br />flowing into the stream along various paths. <br />Gunnerson (1967) explained the hysteresis in <br />the annual pattern of monthly flows and <br />conductivities for Columbia River subbasins <br />in terms of the annual variation in dominant <br />flow paths. <br /> <br />Discharge and salinity profiles along <br />the Price River are shown by Figures 4.3 and <br />4.4, respect ively, for data taken dur ing a <br />sampling survey on October 19 to 21, 1976 <br />(Appendix B, Table B.3). Most of .the flow <br />was being diverted from the river above the <br />City of Price (river mile 10). Downstream <br />from the city, both the flow and the salinity <br />increased rapidly. The predominant cations <br />were sodium, calcium, and magnesium, and <br />sulfate was the main anion. Figures 4.3 and <br />4.4 together suggest that the Price River <br />salinity loading largely enters the stream by <br />return flows and tributary inflows below <br />Price. <br /> <br />To aid in identifying diffuse salt. <br />source areas in the Price River Basin, <br />Mundorff's (1972) water quality samples of <br />varying repetition at 71 sites over a 3D-year <br />period (Figure 4.5) were evaluated statisti- <br />cally. The sample sites were considered <br />independent treatments, and mean salt load- <br />ings per sample site were calculated as <br />pounds per day per square mile of drainage. <br />The null hypothesis that the treatment means <br />were equivalent was tested by comparing an <br />individual treatment with the average of the <br />rema ining treatments. Student t-values were <br />calculated (Neter and Wasserman 1974), but <br />the results were not conclusive. <br /> <br />Three sampling sites, numbers 31, 50, <br />and 52 (Figure 4.5), were identified as <br />collecting runoff from areas of high salt <br />loading. The three (Drunkards Wash, Desert <br />Lake Wash, and Desert Seep Wash) drain irri- <br />gated farm land and exhibit a high average <br />salt load, 518, 416, and 423 pounds per <br />square mile of drainage per day, respective- <br />ly. Drunkards Wash exhibited a large salt <br />load in part because one of the sampling <br />observations was made during a storm surge <br />transporting a large flux of salt. <br /> <br />Figure 4.6 shows the major tributaries <br />and canals in the proximity of Desert Seep <br />Wash and Desert Lake Wash with average <br />observed conductivity levels at measured <br />points. As indicated by this figure, the <br />average salinity level of the Price River <br />increased by approximately 30 percent at its <br />confluence with Desert Seep Wash. However, <br />because of the strong influence of -agricul- <br />ture, Desert Seep Wash was not examined <br />further in this study of salinity contri- <br />butions from natural areas. <br /> <br />23 <br /> <br />