Laserfiche WebLink
<br />11/14/01 draft report, Schmidt and Box <br /> <br />The model predicts that a proportion of the larval fish in each reach on each day is <br />transported into backwaters. We assumed that larvae are transported across the shear zone that <br />separates main flow and backwaters, and we assumed that the rate of transfer of larval fish into <br />Ii<r backwaters is greater at high discharge than at low discharge, similar to dye studies (Graf 1995, <br />(:/; f~"" Konieczki et al. 1997). We assumed that the rate at which larval fish enter and leave backwaters is <br />\ \)~k. .)'I.~ ~nrela~ed to. the ~ensit~ ~f nurse~ fish ~hat are alr.ea~y in each backwater, and we assumed that as <br />J r '\ 'fI) fish gaIn sWimmIng abilIty, some IntentIOnally sWim Into backwaters. <br />J. <br />&,' A v" We assumed that most larval fish remain in backwaters, but that some are swept back into <br />~("\ <br />rT', the main flow. Thus, the model predicts that the population of larval fish in backwaters declines <br />,)- ~" .J ~ with time in relation to the computed "leakage" back into the main current. We assumed that the <br />'v~ "J )P rate of reentry to the main current is inversely proportional to the number of larval fish with <br />~ 1'\ fa- swimming ability and proportional to the rate of transfer of water between the main channel and <br />\.} ..1 backwaters, which is directly proportional to discharge. <br />~. -<; A.!.,.J~. Fish that are nottransported into backwaters drift downstream to the next reach, where a <br />_ \ ;\ (' ..:- proportion is transported into the backwaters there. Thus, during the period when larvae enter the <br />l J 1\, t Green River, the population of fish in backwaters of each reach depends on the computed drift, <br />) ( \" <br />'t\~. (,'J' f~ransport into backwaters, and leakage from upstream backwaters back into the main flow. Later in <br /> <br />, . <br />//J',the year, backwater populations exponentially decline in upstream reaches and support a low level <br />,)i ,x.,,\.1 of continuous drift. <br />~y:v odel components: hydrolol:Y <br />(' <: We used mean daily discharge data, available for U.S. Geological Survey (USGS) gaging <br />. . stations, in our model. We made assumptions about the length of the modeled reach to which <br />specific gaging station data applied. Discharge of the Yampa River was either obtained for the <br />gaging station at Deerlodge Park, CO (station number 09260050), or was estimated as the sum of <br />measurements of the Yampa River made near Maybell, CO (station number 09251(00), and of the <br />Little Snake River near Lily, CO (station number 09260(00). Discharge immediately downstream <br />from the confluence of the Yampa and the Green River was determined from the sum of the Yampa <br />Ri~er data and measurements of the Green River near Greendale, UT (station number 092345(0). <br />Mean daily discharge measured at Jensen, UT (station number 09261000), was used as the <br />discharge in the 142 kIn reach to Ouray, UT, where the Duchesne and White Rivers join the Green. <br />Downstream from this point, the Green River discharge was determined as the sum of the Jensen <br />data and data for the Duchesne River near Randlett, UT (station number 09302000) and the White <br />River near Watson, UT (station number 09306500). In the model simulations, mean daily <br />discharge was used to compute mean stream velocity, shoreline complexity, exchange rate of water <br />across shear zones, and leakage rate of larval fish from backwaters into the main channel. <br /> <br />9 <br /> <br />.... <br />