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<br />ORA F T <br /> <br />.., <br /> <br />is, therefore, essential that the statistical techniques employed <br />include multivariate techniques. <br /> <br />The measurement of precipitation and its subsequent evaluation will <br />be made using data from precipitation gages and/or seasonal streamflow. <br />The careful use of gages allows the recording and subsequent analysis <br />of precipitation over periods as short as 15 minutes and amounts as <br />sma~l as 0.01 inch. Seasonal streamflow provides an integrated <br />measurement of the total precipitation over a watershed for the <br />ent ~ire season. It has been suggested by More l-Seytoux lY, and <br />Elli'ott, et ale 32/, that a 5- to 7-percent increase in precipitation <br />results in a 10-percent increase in runoff from mountain watersheds. <br /> <br />It <br /> <br />Physical analysis or evaluation is the second major area important to <br />the overall evaluation of the program. These analyses can provide a <br />number of important contributions to the experiment. They can <br />provide a complete picture of the processes involved in the formation <br />of prec ip it at ion. In add it ion, covari ates or strat ificat ion parameters <br />can be identified which, because they can he highly correlated with <br />other measurements such as precipitation, can reduce the experimental <br />variance and consequently the time to achieve statistically significant <br />results. Finally, physical analyses can detect actual deviations <br />from hypothesized physical mechanisms so that the hypothesis under <br />which the experiment is being conducted can be changed to reflect the <br />actual conditions. <br /> <br />., <br /> <br />47 <br />