气候变化领域集成服务门户(CCPortal): Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models

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DOI	10.1080/02626667.2024.2345151
	Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models
	Behfar, Nazanin; Booij, Martijn J.; Nourani, Vahid
发表日期	2024
ISSN	0262-6667
EISSN	2150-3435
英文摘要	In this study, the performance of two popular conceptual models, a classic artificial intelligence (AI) model, and a deep learning model is compared using simple and differential split-sample tests (SSST and DSST). Finally, the two conceptual models and the classic AI model are combined employing a model ensemble technique. The SSST and DSST schemes confirmed the ability of both types of models (conceptual and AI) to capture the hydrological response to rainfall events, although the conceptual models showed a better performance in the DSST scheme. The ensemble technique enhanced the modelling performance up to 22% and 35% in the calibration and verification steps. This study highlights the importance of applying DSST using existing data to build further confidence in model projections, and suggests that the use of model ensemble techniques combining conceptual and AI models can enhance the performance of rainfall-runoff modelling in the context of climate change.
英文关键词	Rainfall-runoff simulation; conceptual model; simple split-sample test; differential split-sample test; artificial intelligence; model ensemble; climate change; Meuse basin
语种	英语
WOS研究方向	Water Resources
WOS类目	Water Resources
WOS记录号	WOS:001227846300001
来源期刊	HYDROLOGICAL SCIENCES JOURNAL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/308526
作者单位	University of Twente; University of Tabriz; University of Tabriz; University of Twente
推荐引用方式 GB/T 7714	Behfar, Nazanin,Booij, Martijn J.,Nourani, Vahid. Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models[J],2024.
APA	Behfar, Nazanin,Booij, Martijn J.,&Nourani, Vahid.(2024).Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models.HYDROLOGICAL SCIENCES JOURNAL.
MLA	Behfar, Nazanin,et al."Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models".HYDROLOGICAL SCIENCES JOURNAL (2024).