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Last modified
1/26/2010 12:50:59 PM
Creation date
10/11/2006 11:49:25 PM
Metadata
Fields
Template:
Water Supply Protection
File Number
8240.200.40.J
Description
Yampa
State
CO
Basin
Yampa/White
Water Division
6
Date
4/3/1995
Title
A Method for Assessing Hydrologic Alteration within Ecosystems
Water Supply Pro - Doc Type
Publication
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<br />regular-interval hydrologic data, such as monthly means; however, the sensitivity of the IRA <br /> <br />method for detecting hydrologic alteration will be increasingly compromised with time <br /> <br />intervals longer than a day. Detection of certain types of hydrologic impacts such as the rapid <br /> <br />flow fluctuations associated with hydropower generation at dams may require even shorter <br /> <br />interval data (e.g., hourly). <br /> <br />. ....:~:~-:t;l <br /> <br />-o{}~a~ <br /> <br />Group #1: Magnitude-ofMonthlyWater:Conditions <br /> <br />:"'~ <br />, '~>':;: -:;,~ J.~::~'~; - '. <br /> <br />This group includes 12 attributes, each of which measures the central tendency (mean)o~ <br /> <br /> <br />daily water conditions fora given month (Fig. 2). The monthly mean of the daily warerl- ~- <br />. "-",,' <br /> <br />C.','" <br /> <br />conditions provides a measure of "norrnal ". daily conditions for the month: The sirriilarii~,:, /'; .. <br /> <br /> <br />monthly means.within a year reflect environmentaJ.constaricy, whereas the inter-annUajiAii!lr<t.'~';,f <br />"J;'--". . <br /> <br />variation (e.g., coefficient of variation) in the mean water condition for a given month" .~ . <br />">0;<;:>0,, ---, <br /> <br />provides an expression of environmental contingency (Colwell 1974; Paff & Ward f989y!,l~ <br /> <br />,~~If:; <br /> <br />Group #2: Magnitude:and:Duration:of'Annua1::Extreme Water Conditions <br /> <br />The 10 attributes in this group measure the magnitude of extreme (minimum and maximl'iiitW": <br /> <br />. " . <br />annual water. conditions of various duration, ranging from daily to seasonal. The duiatib~' <br />. '-", ~--"'~7'~':<,:,'::,,-,__ : <br />that we use' follow natural or human-imposed cycles, and' include the l-=day, 3-=day, T-<lir'~-'jt~< <br />. ',.' --,' . <br /> <br />(weekly), 30-day (monthly), and 9O-day (seasonal) extremes. For any giVen year, the,.:I~')~~~, . <br />. . ':Y'~~~".:'-, -',':' " <br />i-~,~\' _~ <br />maximum (or minimum) is represented by the highest (or lowest) single daily value oc:ctiifm~~; <br /> <br />during the, year; the,.multi-day maximum (orrniiJimum) is represented by the highest (clio;' <br />lowest) multi-day average value occurring during the year (Figs. 3, 4). The mean magmtucie':'" <br /> <br />1(1 <br /> <br />-:'~'?:1'-'.~'~ '. <br />
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