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Last modified
1/26/2010 2:16:32 PM
Creation date
10/12/2006 12:47:27 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8510.100.60
Description
Rio Grande Compact Commission
Basin
Rio Grande
Water Division
3
Date
1/1/1981
Title
Report of the Rio Grande Compact Commission 1981
Water Supply Pro - Doc Type
Report/Study
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<br />'>, -",,~..""-' <br /> <br />C'J <br />cY) <br />C:j <br /> <br />c:".; <br /> <br />'. , <br />t:,,:J <br /> <br />."."-,<~~ ,~~_: .... '.-. -",- ,",- <br /> <br />32 RIO GRANDE COMPACT COMMISSION REPORT <br /> <br />ACCURACY OF RECORDS <br /> <br />The Rules and Regulations of the Commission state that the equipment, method, and frequency of <br />measurement at each gaging station shall be sufficient to obtain records at least equal in accuracy <br />to those classified as "good" by the U.S. Geological Survey. Within the physical limitations of <br />stream gaging, the agencies obtaining the records at Compact gaging stations have complied with <br />these regulations. <br /> <br />The accuracy of discharge data depends primarily on (1) the stability of the stage-discharge <br />relation or, if the control is unstable, the frequency of discharge measurements, and (2) the <br />accuracy of observations of stage, measurements of discharge, and interpretation of records. <br /> <br />The station description states the degree of accuracy of the daily records. "Excellent" means <br />that about 95 percent of the daily discharges are considered to be within 5 percent of true value; <br />"good" within 10 percent; and "fair" within 15 percent. "Poorn means that daily discharges have <br />less than "fair" accuracy. <br /> <br />The phrase "within 5% of true value" used to qualify "excellent" records establishes the <br />extremes of the prObable errors for 95% of the days in a given period of time. The word "within" <br />defines the range of errors with individual daily values falling between 95% and 105% of true <br />value. The probable error in a monthly or annual mean discharge depends more on the distribution <br />of the daily errors between these two limits than it does on the limits themselves. For this <br />reason monthly and annual records are much more accurate than most daily records. <br /> <br /> <br />>;:;j;\';r:Ii~; <br /> <br />.. <br />: :.;' :--,:.-~_S-:~:;.~;:~-~.:: '. <br /> <br /> <br />~~ <br />
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