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<br /> <br />N <br />o <br />~ <br />OJ <br /> <br />4. Integrate the selected relationships <br />into a mathematical model of the natural <br />processes loading the stream with salts. <br /> <br />5. Employ the hydrosalinity model in <br />analysis of the contribution of salt loadings <br />from natural areas in the Price River Basin. <br /> <br />f <br /> <br />Significance of the Study <br /> <br />A well founded understanding of salt <br />loading processes is required to develop <br />effective salinity management programs for <br />the arid Colorado River Basin. The under- <br />standing needs to identify and describe the <br />physical processes picking salt up from <br />diffuse sources and carrying it downstream, <br />establish quantitative relationships for <br />estimating salt loading and transport, <br />and thereby provide a basis for selecting <br />promising land and water management p~ograms <br />and predicting how well they will perform. <br />The effort to build that understanding has <br />been severely handicapped by the paucity of <br />data on salt movement. Hence, this study <br />seeks both to collect data and to model, to <br />do both 'simultaneously in an interactive way <br />with the hope of advancing more quickly to <br />the needed understanding. <br /> <br />According to Hyatt et a1. (1970), <br />"Research is needed to improve relationships <br />for predicting water quality as a function <br />of parameters such as various watershed <br />chsracterist ics and hydrology. Because of <br />the complex processes which occur in a <br />watershed, it is likely these relationships <br />will need to be empirical in nature. As <br />improved relationships are developed, the(. <br />can be incorporated into system models. ' <br />This project developed a first generation <br />mathematical model capable of simulating the <br />major salinity uptake mechanisms from an <br />ephemeral catchment in the Mancos Shale <br />wildlands. Such simulation begins quantita- <br />tive definition of relationships between <br />catchment characteristics and salt loading in <br />a rigorous way that can later be used in <br />examining ways a salinity control program can <br />reduce salt loading. Without the discipline <br />of a verified model for their assessment, <br />management proposals are only guesses. <br /> <br />~ <br />t <br /> <br />Literature Review <br /> <br />Streamflow and salinity functions <br /> <br />In one of the first formal studies of <br />salt movement in semiarid western streams, <br />Hem (1948) found that total dissolved solids <br />(TDS) varied with flow in an inverse manner. <br />Seasonal and diurnal variations were both <br />found. A typical salt concentration versus <br />stream flow relationship is shown in Figure <br />1.2 for the Gila River at Bylas, Arizona, for <br />six storm events. Hem (1948) hypothesized <br />that rising conductivity curves are due to <br />dissolution of salts left in the channel by <br />precipitation and evaporation; and that <br />falling conductivity curves are the result of <br />dilution. <br /> <br /> -..; 600 <br /> 0 <br /> ~ <br /> N <br /> ~ <br /> flj 500 <br /> ~ <br /> :::: <br /> " <br /> ~400 <br /> . <br /> g <br /> ~300 <br /> " <br /> " <br /> -g <br /> 8200 <br /> " <br /> ''; <br /> '" <br /> '8100 <br /> . <br /> '" <br /> 00 <br />00 2000 0 <br />'" <br />-:; <br />. 1000 <br />'" <br />>< <br />. <br />.c <br />" <br />. 0 <br />''; <br />'" <br /> <br />Gila River at Bylas. Arizona <br /> <br /> <br /> <br /> <br />10 15 20 <br />August 1943 <br /> <br />25 <br /> <br />31 <br /> <br />5 <br /> <br />Figure 1.2, Daily conductance and the mean <br />daily discharge measurements for <br />the Gila River at Bylas> Arizona, <br />during August 1943 (taken from <br />Hem 1948), <br /> <br />Durum (1953) studied the salt-discharge <br />relationships for the Saline River, Kansas. <br />He observed the average chloride concentra- <br />t ion to be directly proportional to the IDS <br />and proposed the following relationship for <br />relating mean chloride concentration to mean <br />flow: <br /> <br />Cc k/Q.........,.. (1.1) <br /> <br />in which <br /> <br />Cc Chloride concentration in mgfl <br />Q Water flow rate in cfs <br />k Constant <br /> <br />In testing his equation with empirical <br />data, Durum (1953) had a correlation coeffi- <br />cient of 0.94. The chloride concentration <br />was found to be high and highly variable at <br />low water flow rates and low at high flows <br />(Figure 1.3). During periods of rapidly <br />rising stages, however, the chloride concen- <br />tration was observed to increase. The author <br />attributed this anomaly to the dissolution <br />of soluable materials deposited in the <br />channel bed as water evaporates during low <br />flows and then scoured out and carried as <br />suspended or bed load with the rising flow. <br />He estimated the contribution of salt from <br />groundwater by assuming that flow during the <br />winter months equals the groundwater inflow. <br /> <br />3 <br />