Considering scale within optimization procedures for water management decisions: Balancing environmental flows and human needs. (May 2021)

• Record Type: Journal Article
• Authors: Derepasko, Diana; Guillaume, Joseph H.A.; Horne, Avril C.; Volk, Martin
• Is Part Of: Environmental modelling & software. Volume 139(2021)
• Publication Date: 2021-05
• Subjects: Multi-scale analysis -- Environmental flows -- Multi-objective optimization -- Water management -- Trade-off analysis; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.104991
• Languages: English
• ISSNs: 1364-8152

Abstract

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. Graphical abstract: Image 1 Highlights: Reviews water management multi-objective optimization studies with environmental flow. Outlines optimization model development decisions affecting temporal and spatial scale. Proposes a framework for reasoning about scale, fostering transparency.