A novel multi-objective model calibration method for ecohydrological applications. (October 2021)

• Record Type: Journal Article
• Authors: Hernandez-Suarez, J. Sebastian; Nejadhashemi, A. Pouyan; Deb, Kalyanmoy
• Is Part Of: Environmental modelling & software. Volume 144(2021)
• Publication Date: 2021-10
• Subjects: Multi-objective optimization -- Streamflow regime -- Environmental flows -- Hydrologic indices -- SWAT; 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.2021.105161
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The reliability and applicability of hydrological models within ecohydrological frameworks are major concerns. Two multi-objective model calibration strategies were formulated to achieve a balanced representation of ecologically relevant hydrologic indices. Two approaches were employed: 1) a performance-based method constraining the targeted hydrologic indices and 2) an unconstrained signature-based method explicitly incorporating the targeted hydrologic indices into multiple objective functions. Both strategies were successful in representing most of the selected hydrologic indices within a ±30% relative error acceptability threshold while yielding consistent runoff predictions in a watershed. The performance-based strategy was preferred since it showed a lower dispersion of near-optimal Pareto solutions when representing the selected indices based on water balance and Flow Duration Curve characteristics. Still, the overall representation of low flow magnitude and timing, rise and fall rates, and duration and frequency of extreme flows was limited in terms of interannual variability due to the hydrological model structural inadequacies. Highlights: We evaluated two multi-objective hydrologic model calibration strategies targeting ecohydrological representation. Explicitly constraining ecologically-relevant hydrologic indices (ERHI) when calibrating a model improves the indices. Hydrologic models/practices must be adjusted to better represent the interannual variability of ERHI of streamflow regimes.