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

被引：36

作者：

Jaxa-Rozen, Marc ^{[1
]}

Kwakkel, Jan H. ^{[1
]}

Bloemendal, Martin ^{[2
,3
]}

机构：

[1] Delft Univ Technol, Fac Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands

[2] Delft Univ Technol, Fac Civil Engn & Geosci, Stevinweg 1, NL-2628 CN Delft, Netherlands

[3] KWR Watercycle Res Inst, Groningenhaven 7, NL-3433 PE Nieuwegein, Netherlands

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2019年 / 115卷

基金：

美国国家科学基金会;

关键词：

Agent-based modelling; Social-ecological systems; Groundwater modelling; NetLogo; MODFLOW; SCENARIO DISCOVERY; SYSTEMS; BEHAVIOR; EFFICIENCY; FRAMEWORK; COMMONS; SHIFTS;

D O I：

10.1016/j.envsoft.2019.01.020

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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).

引用

页码：19 / 37

页数：19

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