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A coupled simulation architecture for agent-based/geohydrological modelling with NetLogo and MODFLOW

Author:
Jaxa-Rozen, Marc, Kwakkel, Jan H., Bloemendal, Martin
Source:
Environmental modelling & software 2019 v.115 pp. 19-37
ISSN:
1364-8152
Subject:
aquifers, computer software, decision making, groundwater, hydrologic models, thermal energy, uncertainty
Abstract:
The modelling of social-ecological systems can provide useful insights into the interaction of social and environmental processes. However, quantitative social-ecological models should acknowledge the complexity and uncertainty of both underlying subsystems. For example, the agent-based models which are increasingly popular for groundwater studies can be made more realistic by incorporating geohydrological processes. Conversely, groundwater models can benefit from an agent-based depiction of the decision-making and feedbacks which drive groundwater exploitation. From this perspective, this work introduces a Python-based software architecture which couples the NetLogo agent-based platform with the MODFLOW/SEAWAT geohydrological modelling environment. This approach enables users to design agent-based models in NetLogo's user-friendly platform, while benefiting from the full capabilities of MODFLOW/SEAWAT. This workflow is illustrated for a simplified application of Aquifer Thermal Energy Storage (ATES).
Agid:
6301937