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  • In the last decade, agent-based modelling (ABM) became a popular modelling technique in social sciences, medicine, biology, and ecology. ABM was designed to simulate systems that are highly dynamic and sensitive to small variations in their composition and their state. As hydrological systems, and natural systems in general, often show dynamic and non-linear behaviour, ABM can be an appropriate way to model these systems. Nevertheless, only a few studies have utilized the ABM method for process-based modelling in hydrology. The percolation of water through the unsaturated soil is highly responsive to the current state of the soil system; small variations in composition lead to major changes in the transport system. Hence, we present a new approach for modelling the movement of water through a soil column: autonomous water agents that transport water through the soil while interacting with their environment as well as with other agents under physical laws.

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Metadaten
Author:Benjamin MewesORCiDGND, Andreas H. SchumannORCiDGND
URN:urn:nbn:de:hbz:294-88540
DOI:https://doi.org/10.5194/gmd-11-2175-2018
Parent Title (English):Geoscientific model development
Subtitle (English):a framework for agent-based modelling of soil water movement
Publisher:EGU - European Geosciences Union e.V.
Place of publication:München
Document Type:Article
Language:English
Date of Publication (online):2022/04/26
Date of first Publication:2018/06/13
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Tag:Open Access Fonds
Volume:11
Issue:6
First Page:2175
Last Page:2187
Note:
Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum.
Institutes/Facilities:Lehrstuhl für Ingenieurhydrologie und Wasserwirtschaft
Dewey Decimal Classification:Technik, Medizin, angewandte Wissenschaften / Ingenieurbau, Umwelttechnik
open_access (DINI-Set):open_access
faculties:Fakultät für Bau- und Umweltingenieurwissenschaften
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International