Agent-Based Modelling of a Coupled Water Demand and Supply System at the Catchment Scale

Lisa Huber, Nico Bahro, Georg Leitinger, Ulrike Tappeiner and Ulrich Strasser
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Lisa Huber: Department of Ecology, University of Innsbruck, Sternwartestraße 15, 6020 Innsbruck, Tyrol, Austria
Nico Bahro: Department of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Tyrol, Austria
Georg Leitinger: Department of Ecology, University of Innsbruck, Sternwartestraße 15, 6020 Innsbruck, Tyrol, Austria
Ulrike Tappeiner: Department of Ecology, University of Innsbruck, Sternwartestraße 15, 6020 Innsbruck, Tyrol, Austria
Ulrich Strasser: Department of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Tyrol, Austria

Sustainability, 2019, vol. 11, issue 21, 1-15

Abstract: Water is of uttermost importance for human well-being and a central resource in sustainable development. Many simulation models for sustainable water management, however, lack explanatory and predictive power because the two-way dynamic feedbacks between human and water systems are neglected. With Agent-based Modelling of Resources (Aqua.MORE; here, of the resource water), we present a platform that can support understanding, interpretation and scenario development of resource flows in coupled human–water systems at the catchment scale. Aqua.MORE simulates the water resources in a demand and supply system, whereby water fluxes and socioeconomic actors are represented by individual agents that mutually interact and cause complex feedback loops. First, we describe the key steps for developing an agent-based model (ABM) of water demand and supply, using the platform Aqua.MORE. Second, we illustrate the modelling process by application in an idealized Alpine valley, characterized by touristic and agricultural water demand sectors. Here, the implementation and analysis of scenarios highlights the possibilities of Aqua.MORE (1) to easily deploy case study-specific agents and characterize them, (2) to evaluate feedbacks between water demand and supply and (3) to compare the effects of different agent behavior or water use strategies. Thereby, we corroborate the potential of Aqua.MORE as a decision-support tool for sustainable watershed management.

Keywords: agent-based modelling; resources demand and supply; socio-hydrology; NetLogo (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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