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II.3.3 - Scenario Mode Flow Generation

In the Scenario Mode, seasonal flows for unregulated, i.e. un-dammed, streams are identified on a daily basis. These can be set by the user simply by drawing headwater seasonal flows or they can be generated from modulators that distribute the total annual headwater runoff according to the historical seasonal patterns.

Unregulated headwater flows connect directly to the river mainstem or to storage reservoirs. For storage reservoirs, the user can set the schedule of outflow according to constraints of the volume of the reservoir and the inflow. System flows are determined by unregulated stream flows and regulated flows from storage reservoir dams.

Headwater Modulation

In the Scenario Mode, flow from unregulated headwaters are modeled by the following equation:

(16) where

(17)

The equation given for Ft above is a smooth Fourier estimate for the annual stream flow for each river, in units of multiples of the mean. For each scenario, an error term is randomly generated to incorporate the expected fluctuations. There tend to be more pronounced deviations from the modeled curve in the wet season (spring), when the exact fluctuations are more difficult to predict. For this reason, the error component is generated from a low variance normal distribution in the dry season, and a higher variance normal distribution in the wet season. Also, since daily flows tend to be highly correlated, the generated (independent) error estimates (rt) are artificially correlated according to the following equation:

(18) where

The user chooses the type of year to be modeled relative to an average year, which is designated by p = 1. CRiSP.1 multiplies this proportion of the appropriate average flow parameter, m times (Ft + et), which yields an estimate for daily flow for the Scenario Mode flow.

Reservoir Volume and Flow

The storage reservoirs receive flows from the headwaters which are set by the Scenario Flow Modulators or directly by the user. The flow out of the storage reservoirs can be set by the user under constraints established by the maximum and minimum volume of the storage reservoirs. The equation describing the reservoir usable volume is

(19) where

The volume for each reservoir is determined a reservoir time step increment from a numerical form of the volume equation

(20) where

The user requests reservoir output FR with the following constraints: The user is allowed to draw any flow curve for reservoir withdrawal as long as the reservoir is between minimum and maximum operating volumes. If a request requires a volume exceeding the allowable range, CRiSP.1 alters the request to fit within the volume constraints. The algorithm is

(21)

with constraints on reservoir outflow and volume defined by the algorithm

________________________________________________

if Vrequest(i+1) > Vmax then

Vrequest(i+1) = Vmax

FR(i) = FU(i) + [V(i) - Vmax ] / c

else
if Vrequest(i+1) < Vmin then

Vrequest(i+1) = Vmin

if Frequest(i) > FU then

FR(i) = FU(i)

else

FR(i) = Frequest(i)

else

FR (i) = Frequest(i) (22)

_________________________________________________

where

Theory for Parameter Estimation

Average daily flow (designated flow_mean) was computed for all available years. Each daily flow was divided by that year's average. Elements of the resulting series were denoted by , where t = day_of_year. Next, the first nine terms of a Fourier series were computed with a fast Fourier transform. Since the mean of each series was 1, corresponding to the normalized annual mean flow, it follows a0 = 1.0. The remaining Fourier coefficients were estimated according to the equations

(23) where

The residual time series, Rt were computed by the equation

(24)

The residuals were split into high-variance and low-variance parts, and sample standard deviations computed. mod_start_hi_sigma and mod_end_hi_sigma are the Julian day when high flow variance begins and ends. Period average high and low standard deviation are mod_hi_sigma and mod_lo_sigma, respectively.

Data

The daily flow from Hydrodata, a CD-ROM database marketed by Hydrosphere, Inc., were obtained for the following locations and dates:

Flow modulator parameter estimates derived from flow data listed above were compared to modulator parameters estimated from flows over the previous 10 years at the same location (Oct 1970-Sep 1980). The parameters were slightly different, but graphs of smooth flow curves were nearly identical for Clearwater, Salmon, and Imnaha rivers. The Grande Ronde had a different shape, so for this river the parameters were adjusted to include all data from 1970 to 1989 data.

Table 5 shows parameters estimated for the unregulated headwater modulators. Parameters mod_coeffs_a and mod_coeffs_b correspond to ak and bk respectively. Table 6 shows data for regulated headwaters, i.e., Columbia above Grand Coulee Dam, North Fork Clearwater above Dworshak Dam, and Snake River above Brownlee Dam. Daily mean flow observations for each year were obtained from the US Army Corps of Engineers, North Pacific Division and processed as in Table 6. Data were obtained for the following locations and dates:

Table 5 Unregulated headwater flow parameter estimates
Clearwater Salmon G. Ronde Imnaha
flow_mean (kcfs) 8.790 11.240 3.066 0.514
mod_coeffs_a = a1 -0.76 -0.84 -0.34 -0.73
mod_coeffs_a = a2 +0.09 +0.34 -0.18 +0.09
mod_coeffs_a = a3 +0.10 -0.06 -0.03 +0.03
mod_coeffs_a = a4 -0.14 -0.09 0.00 -0.04
mod_coeffs_b = b1 +0.87 +0.50 +0.93 +0.74
mod_coeffs_b = b2 -0.72 -0.64 -0.32 +0.56
mod_coeffs_b = b3 -0.35 +0.44 +0.04 +0.20
mod_coeffs_b = b4 -0.16 -0.25 -0.14 -0.12
mod_lo_sigma 0.06 0.04 0.05 0.06
mod_hi_sigma 0.29 0.20 0.28 0.25
mod_start_hi_sigma 46 86 7 46
mod_end_hi_sigma 196 196 175 196

Table 6 Regulated headwater flow parameter estimates
Columbia Snake Clearwater
flow_mean (kcfs) 110.0 21.50 5.50
mod_coeffs_a = a1 - 0.238 0.029 - 0.508
mod_coeffs_a = a2 0.198 0.132 - 0.038
mod_coeffs_a = a3 0.005 0.008 0.159
mod_coeffs_a = a4 0.041 0.002 - 0.152
mod_coeffs_b = b1 0.128 0.348 0.881
mod_coeffs_b = b2 0.102 0.156 - 0.624
mod_coeffs_b = b3 0.100 0.045 0.159
mod_coeffs_b = b4 0.024 0.061 - 0.082
mod_lo_sigma 0.062 0.05 0.230
mod_hi_sigma 0.084 0.10 0.305
mod_start_hi_sigma 96 96 96
mod_end_hi_sigma 196 196 196

Maximum Unregulated Flows

Observed maximum flows in the tributaries were obtained from the peak flow data of Hydrodata, a CD-ROM database marketed by Hydrosphere, Inc. The data record length was variable (Table 7).

Table 7 Maximum unregulated flow (kcfs)
Unregulated River Maximum Flow
Wind 30
Hood 30
West Fork Hood 15
East Fork Hood 15
Klickitat 39
Warm Springs 8
Umatilla 18
Walla Walla 21
Tucannon 5
Clearwater 166
Middle Fork Clearwater 78
Red 10
Salmon 129
Little Salmon 10
Rapid River 10
South Fork Salmon 19
Pahsimeroi 1
East Fork Salmon 4
Redfish 1
Yakima 64
Wenatchee 31
Entiat 6
Methow 33
Grande Ronde 36
Imnaha 6

Storage Reservoirs Parameter Values

Storage reservoirs volumes are obtained from Project Data and Operating Limits (1989 a and b) and are given in Table 8.

Table 8 Storage reservoirs. * used in model.
Reservoir Max Pool ft Min Pool ft Usable Storage in acre-ft Powerhouse Hydraulic Capacity (kcfs)
Grand Coulee 1290 1208 5,185,500 280
Libby Dam 2459 2287 4,979,599 24.1
Hungry Horse 3565 3336 3,161,000 8.9
Duncan 1897 1794 1,398,600 20
Mica 2478 2320 7,770,000a 41.6
*Coulee totalb - - 22,494,699 -
*Dworshak 1605 1445 2,015,800 10.5
*Brownlee 2080 1976 975,318 34.5
aestimated
bIn the model all storage reservoirs above Grand Coulee are summed to represent the combined storage capacity of the upper Columbia system.

Desired reservoir elevation levels for flood control, obtained from Project Data and Operating Limits (1989 a and b), are presented in Table 9. This is not used by CRiSP.1 at the present time.

Table 9 Storage reservoirs flood control elevation rule curves
Reservoir Date (Elevation in ft.)
Libby Dam Nov 1
2459
Dec 1
2448
Jan 1
2411
-
Dworshak Sep 1
1600
Oct 1
1586
Nov 15
1579
Dec 15
1558

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Columbia River Salmon Passage Model CRiSP.1.5 Theory, Calibration & Validation Manual
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