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<br />t'-' <br />o <br />~ <br />CO <br /> <br />Qs <br /> <br />Surface flow rate in the river <br />in ds <br /> <br />a and b <br /> <br />Constants determined <br />regression based on <br />observations <br /> <br />by a <br />field <br /> <br />In this relationship, salt loading is divided <br />among three flow paths and varies expo- <br />nentially with respect to flow. <br /> <br />Langbein and Dawdy (1964) suggested that <br />watershed chemical weathering can be de- <br />scribed according to Nernstls law and pro- <br />posed the functions: <br /> <br />dL/dt <br /> <br />(Cs - C) <br />C <br />s <br /> <br />(1. 8) <br /> <br />DA <br /> <br />in which <br /> <br />L Dissolved mass <br />t Time <br />D = Maximum rate of dissolution <br />Cs Saturation concentr"t~nn <br />A Drainage area undeL L0l1sideration <br /> <br />By simple mass balance differencing, Equation <br />1.8 may be represented as: <br /> <br />Q(Co -Ci) <br /> <br />(Cs - C) <br /> <br />Cs <br /> <br />(1. 9) <br /> <br />DA <br /> <br />in which <br /> <br />Ci "" Concentration of influent water <br />(wflter. in the river channel enter- <br />ing the area drained by the sub- <br />basin of area, A) <br /> <br />Concentration of effluent water <br />(water leaving the subbasin of <br />area, A) <br /> <br />Algebraic manipulation of Equation 1.9 <br />yields: <br /> <br />Co <br /> <br />Co <br /> <br />C (1 + c, Q/DA) <br />s l <br />----r + QC IDA <br />s <br /> <br />, , , (1.10) <br /> <br />Equations 1.8 to 1.10 are nearly the same as <br />those proposed by Jurlnak et a1. (1977) 13 <br />years later. <br /> <br />I <br /> <br />From studying the total salt load per <br />square mile in various large watersheds, <br />Langbein and Dawdy (1964) observed that on a <br />log-log plot the annual salt load increases <br />linearly with annual runoff up to approxi- <br />mately 3 inches (Figure 1,4). Thereafter, <br />loads begin to decline. <br /> <br />Hendrickson and Krieger (1964) and Toler <br />(1965) in separate studies of Southeastern <br />U.S. streams described a hysteresis effect in <br />the pattern of salt concentration during <br />storm events. Depending upon whether the <br /> <br />log scale <br /> <br /> <br />5 <br />" <br />~ <br />1 <br />'e 5 <br />Ii <br />.... <br />.. <br />c <br />~ <br /> <br />_ _15.9 -.!o~sl!..Q:..m~-y!.a:. _ _ _ _ _ _ _ _ _ _ _ _ __ <br /> <br />I <br />1 3" of annual runoff <br />I <br />I <br />I <br /> <br />log scale <br />3,69 <br /> <br />" <br />c <br />o <br />-' <br />c; <br />en 0.1 <br />0,1 <br /> <br />Mean Annual Runoff (inches) <br /> <br />Figure 1.4. <br /> <br />Salt load versus annual surface <br />runoff (taken from Langbein and <br />Dawdy 1964), <br /> <br />stage is rIsIng or falling, different concen- <br />trations were observed for a given water flow <br />rate. The A.llthors attribute the hysteresis <br />effect to t- iJl1"~ variation in the salt dis- <br />solution process, changes in the rate of <br />surface runoff, and the inflow of relatively <br />constant quality groundwater. Toler (1965) <br />observed that the hysteresis can be clockwise <br />or counter-clockwise depending upon the <br />variability of the quantity of groundwater <br />inflow. <br /> <br />From a study of the Hubbard Brook <br />Experimental Forest, New Hampshire, Johnson <br />et a1. (1969) proposed the following model <br />for stream water chemistry based. upon mixing <br />and mass balance: <br /> <br />C <br /> <br />C <br />s <br />1 + S Q + Ca <br /> <br />, . , , ' , , ' (1.11) <br /> <br />in which <br /> <br />s <br /> <br />Constant <br /> <br />C <br />a <br /> <br />Rainwater concentration <br /> <br />Cs <br /> <br />Groundwater concentration minus <br />rainwater concentration <br /> <br />Salinity concentrations predicted by the <br />model were consistently higher than those <br />observed in the prototype system. <br /> <br />Gibbs (1970) identified three major <br />mechanisms contributing salt loadings to <br />rivers: 1) atmospheric precipitation, 2) <br />mineral dissolution, and 3) evaporation- <br />crystallization. Rivers vary greatly in how <br />salinity sources divide between precipitation <br />and rocks as illustrated in Table 1.1. <br /> <br />Pionke and Nicks (1970) applied salini- <br />ty/flow models to ephemeral streams in <br />Oklahoma. Flow and salinity, as functions <br />of time for two typical storms on the West <br /> <br />5 <br />