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<br />7 <br /> <br />31. For the Skagit River at Newhalem, six explanatory variables, (three stream- <br />floi'l, h,o summer precipitation, and one temperatm:e) survived the 0.10 significance <br />level screening. The resulting prediction equaiion produced estimates of streamflow <br />that were highly correlated with observed values, When applied to the seeded years <br />of 1963 and 1964, the indicated increase in streamfloi'l due to seeding Has significant <br />at the 0.01 level. This ,-,as largely due to the 1964 record exhibiting a significance <br />level of 0.005 since the 1963 record "laS not significant at the 0.05 level. The <br />estimated increment of streamflow in 1964 was 352,000 acre-feet (4.34 x 108m;>). The <br />nearly ideal conditions encountered in the Skagit River evaluation are rare in the <br />history of cloud-seeding. <br /> <br />v <br /> <br />TESTS EHPLOYED IN STATISTICAL EVALUATION <br /> <br />32. This reviev' is not intended to cover the complex subject of the statistical <br />design of experiments, but some consideration of tests suited for use on strE~amflo'., <br />data may be helpful. <br /> <br />33. Harkovic (1966) offers six tests for statistical evaluation using river <br />flovr. Annual river flov' was the only variable used in his studies. Discrimination <br />of change was accomplished. by using the mean and variance. An increase in flow due <br />to effective cloud-seeding vrill, if repeated over a period of years, b'a refl(3ctecl as <br />an increased mean flo,., for the seeded period as compared with the mean flo'-1 for the <br />unseeded period of record. If the seeding has produced a time or space redistribu- <br />tion of annual flow, a change in the variance v,ou.ld indicate that effect. The data <br />available and the change in river flow expected provided the different sets of <br />conditions on which design of a particular test method ''laS based. The detailed <br />statistical discussion Hill not be repeated here, but the object of, and the under- <br />lying assumption for, each test are listed below. The basic time unit of seeding <br />operation is the sto=' s duration. The period over ",hich the streamflov' reflects <br />a given storm may vary from a fevr days to several months. The tests supplied by <br />Markovic are best suited to comparisons of aru1ual flows. <br /> <br />33. Target sample u-test: The object of this test is to compare the slaeded <br />period mean river flo"\., of a target vratcrshed vii th the population mean of nonseeded <br />flows from the same watershed. The basic assumptions underlying application of the <br />u-test are: <br /> <br />(a) the annual river flows of the target watershed are normally <br />distributed; . <br /> <br />(b) the annual observations are stochastically independent; <br /> <br />(c) the population parameters are known. <br /> <br />The first two assumptions are not always satisfied (ThOro, 1957), but Markovic found <br />that 72 per cent of 446 samples of river flol" were normally d1stributed with a 0.95 <br />confidence probability, and that the assumption of stochastic independence is <br />usually justified ~lere serial correlation analysis shoHs weak dependence. The <br />third assmnption is rarely met and requires a very long period of observation <br />(100 years or more) to be completely accepted. <br /> <br />34, !.arget d.oub1e s~le t-test: The object of this test is to compare the <br />mean river flo"\'lS of a target i'la tershed for non-seeded and seeded periods. The basic <br />assumptions Ul1derlying this test are: <br /> <br />(a) the annual river flowa of the target '-Ja tershed are normally <br />distributed; <br />(b) the annual flows are stocha,stically indepemlent; <br />