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<br />G~60 <br /> <br />planned and (2) that the overall result is a significant <br />decrease in dissolved-solids load. <br /> <br /> <br />Verifying the function of project features needs to be <br />tailored to the specific feature being studied. Interception <br />of a point source can be verified by monitoring water <br />levels in observation wells or discharge from a spring. The <br />effectiveness of canal lining can be verified by observing a <br />decrease in the water-table levels downgradient from the <br />canal. Water table declines also can be used to verify <br />reductions in onfarm seepage or deep percolation. .If <br />several of these features are implemented concurrently, in- <br />dividual impacts may not be separable. Because most <br />verification of project -feature effectiveness is qualitative, it <br />is useful in confirming assumptions, but is of limited value <br />in dete,rmining the actu,a1 change in dissolved-solids load- <br />ing, <br /> <br />Theoretically, the' overall effect of a salinity control project <br />may be verified by testing the change in salt load reduc- <br />tions downstream from the project area, using at-test <br />(Snedecor and Cochran, 1980, p. 89) of the difference be- <br />tween mean annual loads for preproject and ste;ldy-state <br />postproject conditions. This requires at least 3 years each <br />of preproject and postproject data to estimate the stand- <br />ard deviations, In actual practice, however, even in a small <br />controlled area such as Reed Wash in the Grand Valley, <br />Colorado, it is not possible to apply these statistical proce- <br />diJres since short-term natural hydrologic variability usual- <br />ly prevents direct measurements of project effects, Conse' <br />quently, additional years of data would probably be neces- <br />sary to find a statistically significant change if the dissolved- <br />solids reduction is a small percentage of lI!e total dissolved- <br />soli,ds load. If other hydrologic conditions have changed <br />between the preproject and postproject periods, it also <br />may be necessary to test for a difference in the salt-pickup <br />component of the hydrosalinity budget, <br /> <br />The annual salt pickup is computed using measured inflow <br />and outflow for both preproject and postproject years. <br />The difference between mean salt pickup values is then <br /> <br />tested using a t-test. If this budget method is used, data <br />should be collected to verify the assumptions made in the <br />budget. Stiff diagrams based on chemical analysis of the <br />water can test the assumption that concentrations of IDS <br />(total dissolved solids) and the individual constituents have <br />not changed, ,Aerial photographs or ground surveys could <br />be used to verify changes in phreatophytedensity or COver <br />which might indicate changes in phreatophyte consumptiv; <br />use, <br /> <br />Consequently, for most projects, verifying a reduction in <br />dissolved-solids loading is made by testing for a change in <br />salt pickup at sampling sites upstream and downstream of <br />the project. Salt pickup is the difference between the total <br />inflow load and the outflow load, Samples used to com- <br />pute s~t pickup should be taken at approximately the <br />same time or averaged over a common time period, Mean <br />salt pickup is then computed for preproject and <br />postproject samples, and their difference tested using a <br />t-test. Salt pickup testing works best where'the dissolved- <br />solids reduction is constant throughout the year. An <br />example of this type of analysis is given in the concluding <br />report on the Bureau of Reclamation's Meeker Dome <br />Unit (U.S, Bureau of Reclamation, 1985a). <br /> <br />10 <br /> <br />11 <br /> <br />, <br />