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<br /> <br />. <br /> <br />0"0.0 <br />~ "096 <br /> <br />of the synthesized variable, plains precipitation, did not <br /> <br />offer improvement. Similar reasoning can be used in regard <br /> <br />to the use of snowoack as a climate variable for the moun- <br /> <br />tains. It is more likely that snow events have a more gen- <br /> <br />eral watershed coverage than do rainfall events. Since <br /> <br />equation A essentially differentiates between the two in- <br /> <br />puts, it is advantageous to use the one that more accurately <br /> <br />depicts the physical situation. <br /> <br />It should be noted that due to interdependence of <br />hydrologic variables, the above explanation is valid in <br />concept, but not absolutely accurate in every detail. Every <br /> <br />factor in equation A plays some part in explaining each <br /> <br />element of equation B (including the intercept, 3216). This <br /> <br />is known as multicollinearity. Stated differently, each of <br />the predictor variables does not add totally independent <br />information to the equation. Efforts were made to reduce <br />multicollinearity and thereby improve the statistical <br /> <br />attributes and physical "feel" of the equation. <br /> <br />Time series are analyzed to determine if the data are <br /> <br />stationary (time invarient). Only Qtr demonstrates a long <br /> <br /> <br />term trend. This is evidenced by a significant downward <br /> <br /> <br />slope of a straight line fitted through the time series <br /> <br />(Figure 4). Apparently the average annual flow of the <br /> <br />Purgatoire River at Trinidad decreased some time after <br /> <br />stream gaging began in 1896. A straight line fitted through <br /> <br />-19- <br />