Many important microbial, chemical and physical processes in soils take pla
ce within water-filled pores. Whilst the behaviour of chemicals and micro-o
rganisms in aqueous conditions has often been thoroughly researched, their
behaviour in soils is still difficult to predict. One approach to this is t
o superimpose models of the behaviour of chemicals and micro-organisms in w
ater onto a model of the behaviour of water in soil. In this paper we set o
ut to demonstrate the potential to use a simple cellular automaton rule set
to describe the location of water in a soil matrix under varying condition
s of matric suction for possible future combining with other process models
.
The model used a three-dimensional array of pixels (which could be solid or
void) to represent the structure of a small volume of soil. Parameters des
cribing the porosity and the proportion of void pixels directly adjacent to
solid pixels were used to define the structure. These were derived from im
age analysis of resin impregnated samples of a silty clay, silt loam and sa
ndy loam. Ballotini beads were also used as a further "soil type". Water re
tention under a range of increasing suctions (1-300 kPa) was modelled and c
ompared with measurements made using conventional methods on the same soils
.
The cellular automaton rule set generally produced a good description of wa
ter release from soils. Errors were largely attributable to limits on the m
aximum and minimum particle sizes which could be represented in the present
model due to limitations of computing power. This approach to modelling so
il water offers many opportunities for understanding complex interactions b
etween soil water and other processes occurring in soils. (C) 1999 Elsevier
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