Litcius/Paper detail

Multisite calibration of a semi-distributed hydrologic and thermal model in a large Canadian watershed

Mostafa Khorsandi, André St‐Hilaire, Richard Arsenault

2022Hydrological Sciences Journal19 citationsDOI

Abstract

ABSTRACTThis study compares single-site and multisite calibration methods with upscaled parameters for thermal modelling. Multisite calibration and parameter upscaling are novel for calibrating a hydrological–thermal model. To this end, model calibration and simulations are carried out using a semi-distributed hydrological–thermal model (CEQUEAU). First, a hydrological calibration is carried out. The same calibrated hydrological model outputs are used for all thermal calibrations. The covariance matrix adaptation evolution strategy (CMA-ES) single-objective optimization algorithm is applied to calibrate the thermal module using observed water temperatures at seven monitoring sites within the Nechako Watershed in British Columbia, Canada. Single-site calibration provided the best performance for individual sites, but these sets of parameters performed poorly when applied to the other sites. The multisite calibration and the upscaled methods perform adequately for all sites with overall Root Mean Square Error (RMSE)<2°C as an acceptable threshold. However, the multisite method resulted in the best performance metrics and shortest computing time.KEYWORDS: CEQUEAUmultisitehydrological modelwater temperature modelcalibrationriver temperature Editor A. Fiori Associate Editor V. SamadiEditor A. Fiori Associate Editor V. SamadiDisclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported as part of a Collaborative Research and Development grant by the Natural Sciences and Engineering Research Council of Canada [CRDPJ523640-18] and Rio Tinto [CRDPJ523640-18].

Topics & Concepts

CalibrationWatershedEnvironmental scienceHydrology (agriculture)Mean squared errorHydrological modellingComputer scienceRemote sensingStatisticsGeologyMathematicsClimatologyMachine learningGeotechnical engineeringHydrology and Watershed Management StudiesFlood Risk Assessment and ManagementHydrological Forecasting Using AI