Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.envsoft.2021.104991
Lizenz creative commons licence
Titel (primär) Considering scale within optimization procedures for water management decisions: balancing environmental flows and human needs
Autor Derepasko, D.; Guillaume, J.H.A.; Horne, A.C.; Volk, M.
Quelle Environmental Modelling & Software
Erscheinungsjahr 2021
Department CLE
Band/Volume 139
Seite von art. 104991
Sprache englisch
Topic T5 Future Landscapes
Keywords multi-scale analysis; environmental flows; multi-objective optimization; water management; trade-off analysis
Abstract A key issue in optimization model development is the selection of spatial and temporal scale representing the system. This study proposes a framework for reasoning about scale in this context, drawing on a review of studies applying multi-objective optimization for water management involving environmental flows. We suggest that scale is determined by the management problem, constrained by data availability, computational, and model capabilities. There is therefore an inherent trade-off between problem perception and available modelling capability, which can either be resolved by obtaining data needed or tailoring analysis to the data available. In the interest of fostering transparency in this trade-off process, this paper outlines phases of model development, associated decisions, and available options, and scale implications of each decision. The problem perception phase collects system information about objectives, limiting conditions, and management options. The problem formulation phase collects and uses data, information, and methods about system structure and behaviour.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24280
Derepasko, D., Guillaume, J.H.A., Horne, A.C., Volk, M. (2021):
Considering scale within optimization procedures for water management decisions: balancing environmental flows and human needs
Environ. Modell. Softw. 139 , art. 104991 10.1016/j.envsoft.2021.104991