Applicability of Kinematic
and Diffusion Models


Victor M. Ponce, Ruh-Ming Li,
and Daryl B. Simons

Online version 2015

[Original version 1978]



1.  INTRODUCTION

The kinematic and diffusion wave models have found wide application in engineering practice. Both are approximations to the unsteady open channel flow phenomenon described by the complete Saint Venant equations. The diffusion model assumes that the inertia terms in the equation of motion are negligible as compared with the pressure, friction, and gravity terms. The kinematic model assumes that inertia and pressure terms are negligible as compared with the friction and gravity terms.


2.  WAVE PROPAGATION IN OPEN CHANNEL FLOW

Recently, two of the writers (4) have developed an analytical solution for wave propagation in open channel flow, based on a linearized form of the Saint Venant equations as presented by Lighthill and Whitham (3). They took the linearized equations and sought a solution in sinusoidal form which led to a system of homogeneous linear equations.


3.  DEFINITIONS

The following definitions are advanced: uo = steady uniform flow mean velocity; do = steady uniform flow depth; So = bed slope; L = wavelength of sinusoidal perturbation to steady equilibrium flow; T = wave period of sinusoidal perturbation to steady equilibrium flow; c = wave celerity; Lo = reference channel length; Fo = steady uniform flow Foude number; σ*= dimensionless wave number of the unsteady component of the motion; and τ* = dimensionless wave period of the unsteady component of the motion, such that

           L           
c  =  ____
          T                        
(1)

           do           
Lo  =  ____
           So                        
(2)

                  uo           
Fo  =  ____________
            ( g do )1/2                        
(3)

in which g = the acceleration of gravity.

The propagation celerity c can be expressed in dimensionless form by dividing it by uo. The dimensionless propagation celerity c* is

            c           
c*  =  _____
            uo                        
(6)

The logarithmic decrement δ (5) is defined as

δ  = ln (α1) - ln (αo)
(7)

in which αo and α1 = the wave amplitudes at the beginning and end of one wave period, respectively.

Two of the writers (4) have shown that for the dynamic model (that based on the complete Saint Venant equations), the dimensionless propagation celerity c and logarithmic decrement δ are functions of Fo and σ* (see Appendix I). In practice, however, it is desirable to express the space parameter σ* as a function of the time parameter τ*. Combining Eqs. 1, 4, 5, and 6

             2 π           
τ*  =  ________
            c* σ*                     
(8)

Thus, c* and δ can be expressed as a function of Fo and τ* by use of Eq. 8. Furthermore, the results of the theory suggest that for the comparison of diffusion and full dynamic models, a more appropriate parameter is τ*/Fo. Making use of Eqs. 2, 3 and 5, τ*/Fo is expressed as

   τ*              So uo           
_____  = T  ________
   Fo                 do Fo                        
(9)

or

   τ*                     g       
_____  = T So ( _____ ) 1/2   
   Fo                    do                     
(10)


4.  KINEMATIC WAVE VERSUS DIFFUSION WAVE

The kinematic model breaks down when the neglect of the pressure term is not justified. Accordingly, it is of interest to compare the kinematic and diffusion models. Both models have a propagation celerity equal to 1.5 times the equilibrium flow velocity. They differ, however, in the attenuation. The logarithmic decrement of the kinematic model is 0, i.e., the kinematic model does not allow for physical attenuation. The attenuation often observed in numerical schemes based on the kinematic model is of an artificial nature (numerical damping due to truncation errors) (1). The logarithmic decrement of the diffusion model is (4)

           τ* do          171 × 10           
T  ≥  ________ =  _____________ ≅ 66 days
           So uo        0.0001 × 3
(15)

If water discharge and channel friction are given, uo and do can be calculated by the use of the appropriate uniform flow formula (Manning or Chezy).

TABLE 1. - Dimensionless period τ* versus attenuation factor eδd.
eδd τ*
0.99 873
0.95 171
0.90 83

An explanatory note is necessary here. The criteria of Table 1 are based on a comparison of the attenuation (described by the logarithmic decrement δ) of the analytical solutions for the kinematic and diffusion models. In a numerical solution, however, often the truncation errors may mask the nondiffusive character of the analytical solution of the kinematic wave, with the result that the numerical solution of the kinematic wave may resemble the analytical solution of the diffusion wave (1), further complicating the modeling.


5.  DIFFUSION WAVE VERSUS DYNAMIC WAVE

The next step in the analysis is to compare the propagation celerity c*d and logarithmic decrement δd of the diffusion model with those of the full dynamic model. For Fo < 2, the propagation celerity of the diffusion wave, c*d = 1.5, is a lower bound for the dynamic celerity. Since only the primary dynamic wave (that which travels downstream) is of interest here, the dynamic wave celerity will be referred to as c*1.

Fig. 4.  Attenuation factor of dynamic model e δ1 versus τ*/Fo.


6.  FULL DYNAMIC MODEL

Figures 1 and 4 show c*1 and eδ1 as a function of Fo and τ*/Fo, respectively. For τ*/Fo ≤ 30, i.e., the range where only the full dynamic model would apply, very strong attenuation is shown. For instance, for τ*/Fo = 30, and Fo = 0.2, eδ1 = 0.23. This explains the nonpermanent characteristics of the dynamic wave: once formed, it will attenuate quickly.


7.  CONCLUSIONS

The applicability of the kinematic and diffusion models is assessed by comparing the propagation characteristics of sinusoidal perturbations to the steady uniform flow for the kinematic, diffusion, and dynamic models (the dynamic model is that based on the complete Saint Venant equations). The comparison allows the determination of inequality criteria that need to be satisfied if the kinematic or diffusion models are to simulate the physical phenomena within a prescribed accuracy.


ACKNOWLEDGEMENTS

The writers wish to acknowledge the United States Environmental Protection Agency, Environmental Research Laboratory, Athens, Georgia, and the United States Department of Agriculture Forest Service, Rocky Mountain Forest and Range Experiment Station, Flagstaff, Arizona, for sponsoring this study.


APPENDIX I. - EQUATIONS FOR PROPAGATION CELERITY c* AND LOGARITHMIC DECREMENT δ

The equations for c* and δ of the complete dynamic model are

                       B  - E             
δ1  = - 2 π   __________  
                     | 1 + D |        
(21a)

                       B + E             
δ2  = - 2 π   __________  
                      | 1 - D |        
(21b)

in which A = (1/Fo2) - B 2;    B = 1/(σ*Fo2);    C = (A 2 + B 2)1/2;    D = [(C + A)/ 2]1/2; and E = [(C - A)/ 2]1/2.


APPENDIX II. - REFERENCES

  1. Cunge, J., "On the Subject of a Flood Propagation Computation Method (Muskingum Method)," Journal of Hydraulic Research, Vol. 7, No. 2, 1969, pp. 205-230.

  2. Hayami, S., "On the Propagation of Flood Waves," Bulletin of the Disaster Prevention Research Institute, Kyoto, Japan, Vol. I, NO. I, Dec., 1951.

  3. Lighthill, M. J., and Whitham, G. B., "On Kinematic Waves 1. Flood Movement in Long Rivers," Proceedings, Royal Society of London, London, England, Series A, Vol. 229, 1955, pp. 281-316.


APPENDIX III.- NOTATION

    The following symbols are used in this paper:

αo = wave amplitude at beginning of period;

α1 = wave amplitude at end of period;

c = wave celerity. Eq. 1;

c* = dimensionless wave celerity, Eq. 6;

do = steady uniform flow depth;

δ = logarithmic decrement, Eq. 7;

τ* = dimensionless period, Eq. 5; and

σ* = dimensionless wave number, Eq. 4.


Subscripts

1 = pertaining to primary dynamic wave (traveling downstream);

d = pertaining to diffusion model; and

k = pertaining to kinematic model.


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