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<br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />HYDROLOGY: <br />Montrose, Delta and Mesa Counties, Colorado <br /> <br />the length of record actually available for examination turned out <br />to be less than what was recorded in the U.S.G.S. Water Supply <br />Papers. Those gage stations with too few existing gage charts were <br />either abandoned or included for comparison purposes and less <br />weight was given to them in the overall analysis. <br /> <br />The procedure for selecting an overall skew coefficient for each <br />region involved several steps. In keeping with the statistical <br />concept that a large sample defines a more accurate overall <br />relationship, two overall skews from the Water Resources Council <br />Bulletin No. 17, Guidelines for Determinin Flood Flow Fre uenc , <br />were applied to eac set 0 ata. e s ew coe lClents were <br />weighted using the Water Resources Council guidelines based on the <br />number of years of record. For the rainflood peaks, a "generalized <br />skew" taken from country-wide isolines of skew in the Bulletin <br />No. 17 map (Figure 14-1 in Bulletin No. 17) were applied with the <br />weighting. A second run using the "regional skew" or "average <br />skew" from the same map based on gaging station data wi thin each <br />one-degree quadrangle in the country was also made. The data was <br />plotted for each station using the Weibull plotting position along <br />with the two skew lines from the flood-flow-frequency analysis. <br />The skew line which fit each set of data best was selected <br />independently, and the type of skew which fit the majority of cases <br />best in each region was chosen as the overall type of skew for that <br />region. Tables 4 and 5 summarize these calculations. For the rain <br />induced peak the regional skew fit most data plots best in <br />Region I, and the generalized skew fit most plots best in Region <br />II. <br /> <br />Two trials were also made on the snowmelt peak data using the <br />"generalized skew" and the computed skew calculated from the <br />station data. The "regional" or "average" skew was not used as it <br />is based on rainfall data and the resulting bias was not considered <br />accurate for any snowmelt analysis. As might be expected, the <br />computed skew fit all the data plots best for the snowmelt plots. <br />For each region and event a weighted average based on the number of <br />years of record was figured and all the data sets were run again <br />with this weighted skew (see Table 4 for a tabulation of the <br />results of calculation). <br /> <br />The final skew run was plotted on Figures 6-33 (using the Computed <br />Flow rather than the Expected Probability) and a combined flow- <br />frequency curve was drawn using the individual rainfall and <br />snowmelt frequency curves. From these combined curves, drainage <br />area versus discharge curves were fitted visually for each region <br />and frequency, giving less weight to stations w\th less than 12 <br />years of record (Figures 34-44). Figures 38 and 44 show a summation <br />of the four frequency curves for each region. The areas for each <br />drainage basin were measured at the endpoints of the study length. <br />If the flows at the endpoints found from the Regional Drainage Area <br />versus Discharge curves differed by more than 2:0%, intermediate <br /> <br />-6- <br />