Analysis of the nonlinear storage–discharge relation for
hillslopes through 2D numerical modelling
Melkamu Ali,* Aldo Fiori and Giorgio Bellotti
Dipartimento di Scienze dell’Ingegneria Civile, Universita di Roma Tre, Via Vito Volterra 62 00146, Rome, Italy
Abstract:
Storage–discharge curves are widely used in several hydrological applications concerning flow and solute transport in small
catchments. This article analyzes the relation Q(S) (where Q is the discharge and S is the saturated storage in the hillslope), as a
function of some simple structural parameters. The relation Q(S) is evaluated through two-dimensional numerical simulations
and makes use of dimensionless quantities. The method lies in between simple analytical approaches, like those based on the
Boussinesq formulation, and more complex distributed models. After the numerical solution of the dimensionless Richards
equation, simple analytical relations for Q(S) are determined in dimensionless form, as a function of a few relevant physical
parameters. It was found that the storage–discharge curve can be well approximated by a power law function Q/(LK
s
)= a(S/
(L
2
(f θ
r
)))
b
, where L is the length of the hillslope, K
s
the saturated conductivity, f θ
r
the effective porosity, and a, b two
coefficients which mainly depend on the slope. The results confirm the validity of the widely used power law assumption for
Q(S). Similar relations can be obtained by performing a standard recession curve analysis. Although simplified, the results
obtained in the present work may serve as a preliminary tool for assessing the storage–discharge relation in hillslopes. Copyright
© 2012 John Wiley & Sons, Ltd.
KEY WORDS hillslope; nonlinear reservoir; flow recession; storage–discharge relation
Received 10 January 2012; Accepted 3 May 2012
INTRODUCTION
The storage–discharge relation is a very important
component of catchment hydrology and it is widely used
for several engineering applications, such as estimating
design floods (Rahman and Goonetilleke, 2001),
forecasting of low flows for water resource management
(Vogel and Kroll, 1992), estimating groundwater poten-
tial of basins (Wittenberg and Sivapalan, 1999) and
rainfall runoff models (Sriwongsitanon et al., 1998). The
matter has been investigated in the framework of base
flow recession, hydrograph separation and other related
areas of hillslope hydrology (Brooks et al., 2004; Weiler
and McDonnell, 2004; Fiori and Russo, 2007; Graham
and McDonnell, 2010; McGuire and McDonnell, 2010).
Based on different principles and approaches, the
recession of subsurface flow has been studied by
Brutsaert and Nieber (1977), Wittenberg (1994, 1999),
Fenicia et al. (2006), Aksoy and Wittenberg (2011),
Wang (2011) and Moore (1997). Tallaksen (1995) has
discussed various methods and approaches widely used to
determine the storage–discharge relationship by the
recession curve analysis.
One of the widely used storage–discharge relations is
the linear reservoir model, originally defined by Maillet
(1905), which implies that the aquifer behaves like a
single reservoir with storage S, linearly proportional to
outflow Q, namely Q = aS. In this case, the plot of logQ
t
against S yields a straight line (Barnes, 1939).
Moreover, Fenicia et al. (2006) have also derived an
actual S–Q relation in which the percolated water from
the unsaturated reservoir as well as the preferential
recharge as inflow to the saturated reservoir are taken
into account, for which the S–Q relation was treated as a
linear and second-order polynomial. However, linear
reservoirs (Q = aS) can very well describe the ground-
water behaviour for most of the catchments they have
studied. In most actual cases, however, semilogarithmic
plots of flow recessions are still concave (Aksoy and
Wittenberg, 2011), indicating nonlinear storage–
discharge relationships.
Recent studies agreed that the outflow of a lumped
storage model can be characterised by a general power
law function, Q = aS
b
, where a and b are constants. The
constant b varies between 0 and 2 or higher for some
cases (Chapman, 1997; Wittenberg, 1999; Wittenberg
and Sivapalan, 1999; Harman and Sivapalan, 2009) and
it has also been proved by physical experiments
(Wittenberg, 1994; Chapman, 1999). The power law
formulation is only occasionally chosen in recession
analysis (Wittenberg, 1994), and the recession process is
commonly formulated in terms of the reservoir inflow and
outflow, which can be calculated using the continuity
equation.
On the other hand, Brutsaert and Nieber (1977) have
proposed to determine the outflow rate from a low-flow
hydrograph derived from direct measurements of Q(t).
They have developed their models based on the nonlinear
*Correspondence to: Melkamu Ali, Dipartimento di Scienze dell’Ingegneria
Civile, Universita di Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy.
E-mail: melkamualebachew.ali@uniroma3.it
HYDROLOGICAL PROCESSES
Hydrol. Process. (2012)
Published online in Wiley Online Library
(wileyonlinelibrary.com) DOI: 10.1002/hyp.9397
Copyright © 2012 John Wiley & Sons, Ltd.