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<br />8 <br /> <br />(c) tho population parameters are known; <br /> <br />(d) the variances of annual rivGr.flows in thE: nonseeded and seeded <br />periods are equal. <br /> <br />An al terna te t-test can be used if the varj,ances are unequal (BroHnlce, 1961). <br /> <br />35. Target-control X2-test: The object of this test is to compare sets of <br />annual river flo..lS for nonseeded and seeded_ periods from the target Hatershed ..,ith <br />those from an unseeded control ..ratershed. The basic assumptions underlying this <br />test are: <br /> <br />(a) the tareet and control annual river flovs are not stochastically <br />independent but are highly correlated, with the population corre- <br />lation coefficient characterizing their dependence; and <br /> <br />(b) the target and contJ:'ol annual river flows are bi varia te normally <br />distributed. <br /> <br />Another assumption that should not be too easily taken for granted is that it is <br />possible to treat the target basin vithout inadvertently treating all or part of <br />the control. Particularly in the complex air circulations which characterize mountain <br />basins, the potential for contamination should be checked Hith diffusion studies, if <br />possible. <br /> <br />36. TurgE::J--control T2_t"~st: '['he object and aSSU1Tlptions of this test are <br />similar to the one above with the exception that the population parameters are con- <br />sidered unknown, requiring the use of estimators based on samples instead of the <br />true parameters. This implies substitution of the F-distribution for the- Chi-square <br />distribution employed in the previous test. <br /> <br />37. Condi tional ta.rget-control tl/t2-test: The basic idea of this test is to <br />develop the joint distribution of target and control annual rj.ver flo',rs in the seeded <br />period by usine; the sample statistics as best estimators of unkno..m populat:Lon para- <br />meters. Four Bets of river floH data are required: hro samples of annual floHs <br />from tlle target and two samples from control va tersheds. <br /> <br />38. Jllorel-SeytouY (1972) characterized the six tests studied by Markovic as <br />simple but insensitj,ve, requiring long periods of observation prior to seed:Lng and <br />during seeding if satisfactory results were to be obtained. He designed a target- <br />control conditional Student's i-test to be applied to a test variable which is a <br />linear combination of runoff variables. The pov,,,r of the test is maximized by the <br />proper choice of weights for the' various runoff variables, With this test, the <br />chances of detecting a 10 per cent increase in precipitation over a 5-year period <br />are computed to be slightly better than one in bllO, but if the average increase is <br />15 per cent, the chances of detection are 17 in 20. <br /> <br />VI <br /> <br />MEASUREl1EWl' OJ<' SNOHF1l.L1 AS AN AID TO EVAWATION OF PHECIPITATION IiJffiANCEr.JEN'J: <br /> <br />I <br />I <br /> <br />39. Although the site selection process for PEP hR,8 gone forward with a clear <br />preference for areas Hhere the pre(:j,pi to,tio::1 faLls as rain due to concern about the <br />imprecision of sno_dull measurements, a brief revi eH of the techniques of snOH <br />measurement may be useful to planners of other enhancement efforts. A comprehensive <br />discussion of the subject has been given by Go'rtska (1964). <br /> <br />40. Measurements of snoHpack water equivalent have proven to be a quite useful <br />basis for forecasting the streamfloH expected from snowmelt, In a study (Grant et al. <br />1969) relating 1 April snow _vater equivalent on Belected snOH COurses to April- <br />August streamflow for 70 representative staU.ons in the Upper Colorado R:i.ver Basi.n <br />