1. INTRODUCTION
The Muskingum method (1) and its improved Muskingum-Cunge version (2,4) are well established in the flood routing literature. The Muskingum method is based on the assumption of a linear relationship between the inflow, I, the outflow, 0, and the reach storage, V, of the following form:
V = K [X I + (1 - X ) O ]
| (1) |
in which K and X are the parameters. In the conventional Muskingum method
these parameters are determined by calibration using measured inflow and outflow
hydrographs. On the other hand, in the Muskingum-Cunge version K and X
are calculated using the formulas derived by Cunge (2).
The experience with the Muskingum-Cunge version is reported herein. It is
shown that the way of calculating the parameters has a definite bearing on
the overall accuracy of the method. As shown by Dooge (3), the assumption
of constant parameters makes the solution dependent on the reference values
chosen to evaluate these parameters. A more physically realistic approach is
to consider the parameters K and X to vary in time and space according to
the flow variability (6). Koussis (5) has considered a discharge-dependent K
but has assumed X constant on the grounds that the computation is relatively
insensitive to this parameter. In general, however, it is desirable to allow both
K and X to vary with the flow.
2. MUSKINGUM METHOD
The formula for the Muskingum Method is (Fig. 1) (1):
n +1 n n +1 n
Q j +1 = C 1 Q j + C 2 Q j + C 3 Q j +1
| (2) |
in which
( Δt / K ) + 2X
C1 = _____________________
2(1 - X ) + ( Δt / K )
| (3) |
( Δt / K ) - 2X
C2 = ______________________
2(1 - X) + ( Δt / K )
| (4) |
2 (1 - X ) - ( Δt / K )
C3 = _______________________
2 (1 - X ) + ( Δt / K )
| (5) |
Fig. 1 Space-time discretization of Muskingum method.
|
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where Δt is the routing period (time interval). In the Muskingum-Cunge version,
the parameters K and X are calculated by (2,3,4);
1 q
X = ___ ( 1 - __________
)
2 So c Δx
| (7) |
in which Δx = reach length (space interval); c = flood wave celerity; q =
unit width discharge; and So = channel bed slope. Substituting Eqs. 6 and
7 into Eqs. 3-5:
1 + C - D
C1 = ______________
1 + C + D
| (8) |
-1 + C + D
C2 = _______________
1 + C + D
| (9) |
1 - C + D
C3 = ______________
1 + C + D
| (10) |
in which C = c Δt /Δx is the Courant number; and D = (q /So)/cΔx is a type of cell Reynolds number. Both C and D have physical and numerical significance, C being a ratio of celerities and D a ratio of diffusivities.
3. VARIABLE PARAMETERS
Usually, Δt is fixed, and Δx and So are specified for each computational cell consisting of four grid points (Fig. 1). Therefore, it is necessary to determine
the flood wave celerity, c, and the unit width discharge, q, for each computational
cell. The values of c and q at grid point (j, n) are defined by:
in which Q = discharge; A = flow area; and B = top width. The following
ways of determining c and q for use in calculating C and D are investigated:
Directly, by using a two-point average of the values at grid points (j, n)
and (j + 1, n);
Directly, by using a three-point average of the values at
grid points (j, n), (j + 1, n), and (j, n + 1); and
By iteration, using a four-point average calculation. To improve convergence,
the values at (j + 1, n + 1) obtained by the three-point average method are used as the first guess of the iteration.
4. EXAMPLE
The Muskingum-Cunge method with variable parameters is applied herein
to the problem posed by Thomas (8) in his classical paper on flood routing.
The problem consists of tracking the travel and subsidence of a flood wave
of sinusoidal shape in a unit width channel with a steady-state rating curve given by:
The inflow hydrograph is defined by
π t
I(t) = 125 - 75 cos ( ____ ), 0 ≤ t ≤ 96;
48
| (14a) |
in which t is in hours.
Thomas applied an approximate method to route the flood wave through
a channel 200 miles (322 km) long, using a time interval of Δt = 12 hr. Thomas'
approximate method neglects the inertia terms; therefore, his results are directly
comparable to those of the Muskingum method (both the Thomas and Muskingum
methods can be considered as numerical analogs of the diffusion wave equation).
Figure 2 and Table 1 summarize the results of computations using the Muskingum-Cunge
method with variable parameters. For comparison purposes, the calculations using constant parameters for three reference values of discharge are
also shown.
Fig. 2 Calculated hydrographs as described in Table 1.
|
|
TABLE 1. Summary of results.
|
Hydrograph
(1) |
Station, in miles
(2) |
Method a
(3) |
Δx, in miles
(4) |
Δt, in hours
(5) |
Peak q, in cubic feet per second
(6) |
Time to peak, in hours
(7) |
Mass conservation, as a percentage
(8) |
A |
0 |
- |
- |
- |
200 |
48 |
- |
B |
500 |
MC/200 |
25 |
6 |
178.5 |
114 |
100 |
C |
500 |
MC/125 |
25 |
6 |
177 |
128 |
100 |
D |
500 |
MC/50 |
25 |
6 |
173.5 |
162 |
100 |
E |
500 |
VPMC2 |
25 |
6 |
171 |
124 |
85 |
F |
500 |
VPMC3 |
25 |
6 |
175.5 |
121 |
98 |
G |
500 |
VPMC4 |
25 |
6 |
176.5 |
121 |
99 |
H |
200 |
VPMC4 |
25 |
12 |
190 |
77 |
100 |
I |
200 |
Thomas (8) |
25 |
12 |
189 |
79 |
- |
a
MC/200= constant parameter Muskingum-Cunge Method, reference discharge 200
cfs (5.66 m3/s); MC/125 = constant parameter Muskingum-Cunge Method, reference
discharge 125 cfs (3.54 m3/s); MC/50 = constant parameter Muskingua-Cunge Method,
reference discharge 50 cfs (1.41 m3/s), VPMC2 = two-point variable parameter Muskingum-Cunge; and VPMC3 = three-point variable parameter Muskingum-Cunge, VPMC4
= four-point variable parameter Muskingum-Cunge.
|
The examination of Fig. 2 enables the following conclusions to be drawn:
The Muskingum-Cunge method with constant parameters (hydrographs B,
C, and D) shows results that are dependent on the value of reference discharge
chosen to evaluate the constant parameters. The higher the reference discharge,
the faster the rate of travel and the lesser the subsidence of the flood wave
(3). The calculated outflow hydrographs show negligible distortion from the
initially sinusoidal shape, implying that the constant parameter assumption is
tantamount to an assumption of linearity.
The Muskingum-Cunge method with variable parameters (hydrographs E,
F, and G) shows results that fall within the range encompassed by the constant
parameter calculations. The noticeable steepening of the rising limb of the
calculated outflow hydrographs indicates that the nonlinearity of the phenomenon
is being taken into account. The three-point and four-point methods give similar
results; however, the two-point method shows a smaller peak and a somewhat
slower rate of travel. Furthermore, the two-point method results in a significant
loss of mass, as indicated in Col. 8 of Table 1.
The results of the Thomas and four-point variable parameter methods are
comparable (hydrographs I and H). The three-point variable parameter hydrograph
(not shown) is also very close to Thomas' results.
5. SUMMARY AND CONCLUSIONS
The Muskingum-Cunge method in which the parameters K and X are allowed
to vary in time and space is investigated. A three-point approach and an iterative
four-point approach to the calculation of the variable parameters are shown
to be sufficiently accurate in the simulation of flood flows. A two-point approach
is shown to be inaccurate in the calculation of peak discharge and travel time.
Furthermore, the two-point method results in a significant loss of mass.
APPENDIX. REFERENCES
Chow, V. T. 1974. Handbook of Applied Hydrology, McGraw-Hill Book Co., Inc., New
York, NY.
Cunge, J. A. 1969. "On the Subject of a Flood Propagation Computation Method (Muskingum
Method), Journal of Hydraulic Research, Vol. 7, No. 2, 205-230.
Dooge, J. C. I. 1973. "Linear Theory of Hydrologic Systems," Agricultural Research Service
Technical Bulletin No. 1468, Oct.
"Flood Studies Report. 1975. Vol. III: Flood Routing Studies, Natural Environment Research
Council, London, England.
Koussis, A. 1978. "Theoretical Estimation of Food Routing Parameters," Journal of the
Hydraulics Division, ASCE, Vol. 104, No. HY1, Proc. Paper 13456. Jan.,
109-115.
Miller, W. A.. and J. A. Cunge. 1975. "Simplified Equations of Unsteady Flow," Unsteady
Flow in Open Channels, K. Mahmood and V. Yevjevich, eds., Water Resources
Publications, Fort Collins, Colo.
Roache, P. 1972.Computational Fluid Dynamics, Hermosa Publishers, Albuquerque, NM.
Thomas H. A. 1934. "The Hydraulics of Flood Movement in Rivers." Engineering Bulletin,
Carnegie Institute of Technology, Pittsburgh, PA.
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