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PERMFILE104514
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PERMFILE104514
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Last modified
8/24/2016 9:57:43 PM
Creation date
11/24/2007 11:16:07 AM
Metadata
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Template:
DRMS Permit Index
Permit No
C1981020A
IBM Index Class Name
Permit File
Doc Date
5/31/2002
Section_Exhibit Name
4.0 DESCRIPTION OF THE ENVIRONMENT PG 1-65
Media Type
D
Archive
Yes
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4-31 <br />streams in Colorado. Results are presented in Talbe 4.5-4. <br />Figure 4.5-4 shows the drainages and other areas of interest <br />in Munger Creek Drainage Basin. The discharge calculations on <br />which Table 4.5-4 is based are provided in Appendix M(v). <br />4.5.3.2.3 Accuracy of Flood Estimates <br />Regression Method <br />The accuracy of a regression equation is usually expressed <br />as the standard error of estimate. It is a measure of how <br />well the observed data agree'with estimates from the regression <br />equations. ,The standard error of estimat~ in percent, is <br />the range of error found at about two-thirds of the sample <br />• sites, that is, two out of every three observations for a <br />large sample of data would fall within the specified percentage <br />(McCain and Jarrett, 1976). The standard error of estimate <br />for each recurrence interval flood equation is listed in Table <br />4.5-5. <br />Other Methods <br />The selection of a method for predicting any hydrologic <br />parameter, including flood peaks, is a matter of engineering <br />judgement. For this analysis, it was felt that the use of <br />a technique developed exclusively for Colorado streams, <br />which was derived on the basis of regional geographic and <br />hydrologic characteristics, was the most suitable method <br />• available. With the regression method, there is little <br />
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