A calibration framework for distributed hydrological models considering spatiotemporal parameter variations

•Spatiotemporal parameter variations overcome long-term calibration limits.•A new calibration framework considering human activities and climate change.•Parallelized CPSGA improves model calibration accuracy and speed. In urbanized watersheds, climate change and human activities significantly impact...

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Vydané v:	Journal of hydrology (Amsterdam) Ročník 645; s. 132273
Hlavní autori:	Liu, Yunping, Gao, Yuqin, Wu, Ming, Jan van Andel, Schalk, Gao, Li, Tan, Xilan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	algorithms calibration climate change HBV distributed hydrological models humans hydrologic models land use model validation Parallel chaotic particle swarm genetic algorithm runoff Spatiotemporal parameter variation Time-segment calibration framework urbanization Urbanized basin watersheds Urbanized basin Parallel chaotic particle swarm genetic algorithm Spatiotemporal parameter variation HBV distributed hydrological models Time-segment calibration framework
ISSN:	0022-1694
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