Skip to main content

Classifying Flow Equations

Water problems are represented mathematically by differential equations. Examples of such problems or processes are propagation of waves in a river channel, pollutant transport, and reservoir operations.

Wave basin testing facility Flood simulation overlay on satellite imagery

Classification criteria​

Differential equations are classified taking into account several criteria:

  • Dimension of the unknown function:
    • ordinary differential equation (ODE), when the unknown is a function of one independent variable only, e.g. u(t)u(t)
    • partial differential equation (PDE), when the unknown is a function of multiple independent variables, e.g. u(t,x,y)u(t, x, y)
  • Number of equations: a single differential equation, or a system of differential equations.
  • Order: the highest order of the derivative that appears in the equation — an equation is of nn-th order if the highest derivative it contains is the nn-th derivative.
  • Linearity: linear, when all terms are linear in the unknown function and its derivatives; non-linear, when linearity does not hold.

The general second-order linear PDE​

In water-related problems, most frequently the 2nd order, linear PDEs with two independent variables (homogeneous or nonhomogeneous) are used. If the two independent variables are assumed to be xx and tt, the PDE is written as:

A(x,t)∂2u∂x2+B(x,t)∂2u∂x∂t+C(x,t)∂2u∂t2=D(x,t)∂u∂x+E(x,t)∂u∂t+F(x,t)u(x,t)+G(x,t)A(x,t)\frac{\partial^2 u}{\partial x^2} + B(x,t)\frac{\partial^2 u}{\partial x \partial t} + C(x,t)\frac{\partial^2 u}{\partial t^2} = D(x,t)\frac{\partial u}{\partial x} + E(x,t)\frac{\partial u}{\partial t} + F(x,t)u(x,t) + G(x,t)

where the coefficients A(x,t)…G(x,t)A(x,t) \ldots G(x,t) may be functions of xx, tt, or both, or they may be constants.

Elliptic, hyperbolic, and parabolic PDEs​

The second-order PDE has a discriminant defined as:

Δ=[B(x,t)]2−4⋅A(x,t)⋅C(x,t)\Delta = [B(x,t)]^2 - 4 \cdot A(x,t) \cdot C(x,t)

Depending on the sign of the discriminant Δ\Delta, the PDE can be classified as:

  • Elliptic PDEs, if Δ<0\Delta < 0: PDEs with smooth solutions, easy to solve.
  • Hyperbolic PDEs, if Δ>0\Delta > 0: solutions may have discontinuities, usually difficult to solve computationally.
  • Parabolic PDEs, if Δ=0\Delta = 0: may have features of hyperbolic and elliptic PDEs combined.

Each type of equation describes a certain kind of physical phenomenon:

  • Elliptic PDEs describe processes that are in steady state, time-independent (e.g., steady-state aquifer flow, backwater curves).
  • Hyperbolic PDEs describe time-dependent, conservative physical processes (e.g., advection/convection), that are in unsteady state and not evolving towards a steady state.
  • Parabolic PDEs describe time-dependent, dissipative physical processes (e.g., diffusion, transient aquifer flow) that are evolving towards a steady state.