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Equation (1) then reduces to the following equations for 10%, 5%, and 1%levels of probability:10% level X - .1ON.949 F-5% level X - .05N.218 •-1% level X - .01N.099If we divide the stations shown in Figure 8 into three zones: <strong>The</strong> areawithin the predicted area of effect envelope (including the cirrus fallout extension);the area to the left of the envelope; the area to the right of theenvelope, the following test statistics are derived.Table 1 -Binomial Test StatisticsProb. Level Area of Effect Left of Area Right of AreaN = 73 N = 45 N = 5010% X = 31 2.9 X = 6 0.2 X = 23 2.7'% X = 15 6.1 X = 1 -0.9 X=12 6.11 X = 4 3.9 X = 0 -0.7 X = 0 -0.7<strong>The</strong> probability of detecting so many stations significant at the gi.v.enlevels by chance is calculated to be between .002 and .00001 within the predictedarea of effect envelope,while the upwind area to the left of the predicted falloutarea has only the expected number or less number stations significant at thevarious levels.<strong>The</strong> area to the right or south of the area of effect envelopehas a highly significant number of stations in the 10% and 5/% categories.example, the probability of observing twelve or more stations significant at the5',' level within this area containing 50 observiag stations is less than .00001.<strong>The</strong> four year sample of band precipitation was stratified by various meteorologicalparameters in order to test the effect of each parameter on seedingForeffectiveness and location.One of the major stratifications has been on thc-16-

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