Laserfiche WebLink
<br />1'lI"J?"q <br />.I..J...J ....._ <br /> <br />all converted to hourly readings. None of the <br />temperatures were recorded from the thermistors <br />situated close to the coils; these temperatures <br />served as a check on the accuracy of the surface <br />temperature and also showed the mixing efficiency. <br /> <br />Suppression was compuled from the differ- <br />ence in evaporation arising between the cooled <br />pans and the normal pan. This difference was <br />expressed as a fraction of the total evaporation <br />from the normal pan. Suppression averaged 29 <br />percent in the north pan and 33 percent in the <br />center pan. <br /> <br />In the preliminary analysis, suppression was <br />used as the dependent variable in a stepwise <br />multiple regression program; the independent <br />variables were water temperature. change in water <br />temperature, evaporation, dew point. and wind. <br />The change in water temperature was the most <br />significant variable followed by evaporation, wind, <br />temperature, and dew point. The coefficient of <br />determination (R) was found to vary through a <br />range of .67 to .71. Since the additional variables <br />had little effect on the correlation. suppression was <br />determined as a function of change in temperature <br />only in a least squares linear regression. <br /> <br />Scatter among the data increased at the end of <br />the evaporation season. When data from the last 9 <br />days. October 8 to October 16 were deleted. the <br />correlation coefficient of .88 was achieved. The <br />results are shown in Figure 7. This decrease in <br />error is to be expected since the error involved in <br />filling a pan increases substantially as evaporation <br />decreases. For this reason, the data gathered on <br />cold days (the last 9 days) were deleted from the <br />analysis. This pan mling error is discussed in detail <br />in Appendix A. <br /> <br />Confidence intervals were estahlished at the 9S <br />percent level on the intercept value and the 98 <br />percent level on the slope. <br /> <br />Running averages were calculated to rid the <br />data of the day to day variability common in <br />meteorological observations. Using the smoothed <br />data for to-day averages for both suppression and <br />change in temperature, linear regression showed a <br />substantial decrease in scatter (Figure 8). The <br />correlation coefficient was increased to .95. <br />Confidence intervals were established at the same <br />percentage levels used for the raw data analysis. <br /> <br />The last 8 days of data taken at the station <br />from October 17 until October 28 were used to <br />check the evaporation values of the pans with no <br />cooling effects. The first 4 days were without <br />cooling, and the last 4 days without cooling or <br />stirring. During this time there was no difference in <br /> <br />evaporation among the three pans. This indicates <br />that: the cooJing coils were not influencing any <br />other aspect of the evaporation pans aside from <br />changing the temperature of the water and the <br />stirrer had a uniform effecl on all three pans. <br /> <br />Modelsuppresslou functlou <br /> <br />The suppression function discussed previously <br />will be referred to as model suppression in order to <br />ditl'erentiate this calculation from the empirical <br />results measured at the experimental pans. The <br />basic model function is: <br /> <br />Ec eswc fIT c) <br />Supp. = 1--= 1--= I-- <br /> <br />En eswc f(T n) <br /> <br />The suppression values computed from this <br />equation indicate that suppression does vary <br />slightly with water temperature (Tn) and this effect <br />is included in the detailed model to be discussed <br />later. However. the correlation with Tn is so small <br />that it will be ignored in the discussion that follows <br />so that the simplest possible (2 parameter) <br />comparison between model and empirical results <br />can be made. The model suppression values are <br />shown in Figure 9. The data fit a cubic equation <br />precisely but are close enough to linear for the <br />range of interest that the linear function coeffi- <br />cients are presented. The vertical distance between <br />the data points shows the minor effect of a range of <br />Tn from 70 to 300C. <br /> <br />Model and emplrlcal suppresslou <br />comparloou <br /> <br />Empirical suppression values were consistently <br />higher than the calculated model suppression <br />values. For the north pan the average value over the <br />period of record was a change in temperature of <br />3.90C with a corresponding average suppression <br />value of 29 percent. The mode' value of <br />suppression would be 23 percent for this tempera- <br />ture change. For the center pan the average <br />temperature change was 4.40C. and the average <br />suppression was 33 percent. A 4.40C temperature <br />change would have a model suppression of 2S <br />percent. A comparison between the 10 day <br />running average empirical suppression and the <br />model suppression is given in Figure 10. The figure <br />shows that the conservative nature of the model <br />which was anticipated in the previous chapter is <br />varified by this empirical phase of the research. <br /> <br />The model assumes that all parameters aside <br />from the vapor pressure difference are constant. <br />This approach does not take into account the <br />interactions among changing values. One impor~ <br /> <br />17 <br />