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Last modified
8/11/2009 11:32:55 AM
Creation date
8/10/2009 12:33:50 PM
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UCREFRP
UCREFRP Catalog Number
7073
Author
Brewer, M. and J. Renne.
Title
Application of the Instream Temperature Model to the Green River Basin
USFW Year
1989.
USFW - Doc Type
Draft.
Copyright Material
NO
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'~ . ,,,, <br />Instream Temperature Model " "DRAFT" " <br />Page 4 <br />March 27, 1989 <br />Sartoris (1976) developed a mathematical water temperature model to <br />evaluate the effect of selective withdrawal modifications at Flaming <br />Gorge Dam on water temperatures in the Green River immediately <br />downstream.. The average monthly error between predicted and <br />observed mean daily river temperatures 70 kilometers downstream <br />ranged from 0 to -1.2°C. <br />STUDY METHODS <br />S t_u d Y... D_e s _i g_n <br />Changing the operation of Flaming Gorge Reservoir may change stream <br />temperatures in downstream areas currently inhabited by squawfish. <br />The Service must determine what these changes are and the subsequent <br />effects on squawfish populations. The instream temperature model <br />can be used to predict instream temperatures resulting from various <br />reservoir operations. Service biologists can then determine if <br />selected reservoir operations change instream temperatures enough to <br />affect squawfish habitat. <br />S_t, u. d..y....,. A, r_e, a <br />The Green River has important young-of-year squawfish habitat from <br />river kilometer 32 to river kilometer 145. The area between <br />Horseshoe Bend (river kilometer 322) to Sand Wash (river kilometer <br />467) on the Green River is also an important young-of-year squawfish <br />area. Important adult squawfish habitat is found in the lower Yampa <br />River and in the Green River throughout Grey Canyon and Desolation <br />Canyon as well as split mountain. However, adult squawfish are <br />dispersed throughout the Green River. <br />Data Collection <br />Daily river discharge and temperature data were obtained-from USGS <br />gaging stations within the network (Table 1). The period selected <br />for our study was 1978 to 1987. This period was selected because <br />Service biologists have growth rate versus water temperature data <br />for the squawfish for this period. Thus, water temperature predic- <br />tions from this study can be used to predict resultant growth rates <br />and early life mortality of the squawfish. A bi-weekly time period <br />within each year was selected starting from March and ending in <br />September when water temperatures are at least 13°C. These time <br />periods, and the associated Julian calender start and end dates, are <br />in Table 2. <br />Daily climatological data were obtained from Mr. Nolan Doesken, <br />
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