Modelling water release and absorption in soils using cellular automata

Citation
Mj. Aitkenhead et al., Modelling water release and absorption in soils using cellular automata, J HYDROL, 220(1-2), 1999, pp. 104-112
Citations number
26
Categorie Soggetti
Environment/Ecology,"Civil Engineering
Journal title
JOURNAL OF HYDROLOGY
ISSN journal
00221694 → ACNP
Volume
220
Issue
1-2
Year of publication
1999
Pages
104 - 112
Database
ISI
SICI code
0022-1694(19990726)220:1-2<104:MWRAAI>2.0.ZU;2-X
Abstract
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 Science B.V. All rights reserved.