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<br />1130 <br /> <br />T. C. GRAND ET tH. <br /> <br />Cell depths were updated once per hour, using a procedure that assumed the backwater's water surface elevation <br />was generally equal to Em while allowing 'puddles' that remained isolated from the mainstem as flow decreased, <br />Although bank storage of water could result in a lag between changes in mainstem stage and changes in backwater <br />stage, such effects were assumed to be negligible, especially over the time frames during which daily stage changes <br />occur, and were ignored in the model. Cells were updated in the following order: mainstem cells, mains tem- <br />connected backwater cells and then all other backwater cells. Mainstem cell depths were updated by <br />(1) determining whether the cell was under water or not and (2) calculating the depth of underwater mains tern cells <br />from the current river stage. Mainstem-connected backwater cells were updated by (1) assuming that these <br />connected cells rise and fall with river stage and (2) setting their water surface elevations equal to that of the <br />mainstem, All other backwater cells were updated using up to three steps, depending on whether river st.age was <br />increasing, decreasing or remaining t.he same, If river stage remained the same, no updates to cell depth were <br />required. In updat.ing backwater cells where river stage increased or decreased, we used a 'loop-through- <br />neighbours' approach, identifying, for each wet. cell (i.e. those having depth greater than 0) updat.ed, those cells <br />immediately adjacent to it. <br />If river stage has decreased, then we must consider any wet cells that. become isolated from the mainstem (and, <br />potentially, the main body of the backwater). To do so, we identified and updated all wet cells that remained <br />attached to the mainstem, We then looped through any cells that had not been updated and had depth greater than 0, <br />and compared their elevation to those of adjacent dry cells, <br />After all cells had their depth updated with the current river stage, we updated hourly aggregate habitat variables <br />by summing over all cells t.hat were not. dry. Hourly aggregate variables included the minimum, maximum and <br />mean backwater depth; wet.t.ed area and volume; and inflow to the backwater (i.e, the volume of water moving into <br />the backwat.er during the past hour, which was negat.ive if the river stage is decreasing). At midnight., of each <br />modelled day, daily mean habitat variables were derived from the previous 24 hourly values. <br /> <br />Backwater temperature modeZ <br /> <br />We modelled water temperature in each backwater as a function of calculated mainstem inflow and hourly input <br />data for mainstem water temperature, air temperature, humidity, wind speed and cloud cover using a heat balance <br />approach similar to the widely used SNTEMP model of Theurer et al. (l984). Each hour, the change in backwater <br />temperature was determined from the net heat flux int.o the backwater, which was assumed t.o be completely mixed, <br />Separate algorithms calculated the heat flux (J. s-] ,m-2 of backwat.er surface) for each of five processes <br />considered important for shallow, still water with a saturated subsurface, Daily mean insolation was calculated <br />from date, latitude and cloud cover using the algorithm of Theurer et al. (1984); hourly insolation was calculated <br />from the daily mean by assuming it was 0 at night and varied sinusoidally during the day. Atmospheric radiation and <br />water back-radiation fluxes were calculated fTom water temperature using equations from Theurer et al. (1984), A <br />simple model of evaporative cooling as a function of wind speed, water temperature and relative humidity was <br />taken from the pond model of Culberson and Piedrahita (1996). Convective exchange with the at.mosphere was <br />assumed to be a funct.ion of wind speed and the difference between water and air temperatures; the pond model of <br />Theurer et aZ. (984) was simplified by neglecting variation in at.mospheric pressure. The temperature model has <br />been added to the EcoSwarm simulation library, documented at www.humboldt..edu/~ecomodel. <br />The temperat.ure model also included two constants required for calibration. Insolation was multiplied by the <br />parameter Ie (unitless), wit.h a value between 0 and 1, representing radiation losses neglected in the model (e.g, <br />losses due to dust and, especially, shading by topography and veget.ation) and used to calibrate this dominant heat <br />source, The wind speed input was multiplied by tlle parameter We (unitless); wind speed is commonly used to <br />calibrate water temperature models because it. strongly affects heat loss and is more variable and uncertain than <br />other inputs. <br />Temperat.ure simulation within each day used the following steps, beginning at hour 0 (i,e, midnight) and ending <br />at hour 23, At the start of each hour, the backwater's volume (VI' m') and surface area (Ar. m2) was calculated from <br />the river stage, If the backwater's present volume was greater than its previous volume (VI-to m'), backwat.er <br />temperature was first adjusted for t.he inflow of mainstem water. The new, interim backwater temperature (Tb,i' "C) <br />was the average of the previous backwater t.emperature (Tb,t- [, "C) and t.he current mainstem temperature ([,11,/' "C), <br /> <br />Copyright t, 2006 John Wiley & Sons, Ltd, <br /> <br />River Res, A.pplic, 22: 1125-1142 (2006) <br />DOl: IO,1002/rra <br />