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An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain

Artikel i vetenskaplig tidskrift
Författare Roland Barthel
S. Janisch
N. Schwarz
A. Trifkovic
D. Nickel
C. Schulz
W. Mauser
Publicerad i Environmental Modelling & Software
Volym 23
Nummer/häfte 9
Sidor 1095-1121
ISSN 1364-8152
Publiceringsår 2008
Publicerad vid Institutionen för geovetenskaper
Sidor 1095-1121
Språk en
Länkar dx.doi.org/10.1016/j.envsoft.2008.0...
Ämneskategorier Hydrologi, Vatten i natur och samhälle, Datorsystem

Sammanfattning

Within coupled hydrological simulation systems, taking socio-economic processes into account is still a challenging task. In particular, systems that aim at evaluating impacts of climatic change on large spatial and temporal scales cannot be based on the assumption that infrastructure, economy, demography and other human factors remain constant while physical boundary conditions change. Therefore, any meaningful simulation of possible future scenarios needs to enable socio-economic systems to react and to adapt to climatic changes. To achieve this it is necessary to simulate decision-making processes of the relevant actors in a way which is adequate for the scale, the catchment specific management problems to be investigated and finally the data availability. This contribution presents the DEEPACTOR approach for representing such human decision processes, which makes use of a multi-actor simulation framework and has similarities to agent-based approaches. This DEEPACTOR approach is embedded in DANUBIA, a coupled simulation system comprising 16 individual models to simulate Global Change impacts on the entire water cycle of the Upper Danube Catchment (Germany, 77,000 km(2)). The applicability of DANUBIA and in particular the DEEPACTOR approach for treating the socio-economic part of the water cycle in a process-based way is demonstrated by means of concrete simulation models of the water supply sector and of the domestic water users. Results from scenario simulations are used to demonstrate the capabilities and limitations of the approach. (c) 2008 Elsevier Ltd. All rights reserved.

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