干旱区生态环境知识资源中心(Arid): Uncertainty analysis for streamflow modeling using multiple optimization algorithms at a data-scarce semi-arid region: Altinapa Reservoir Watershed, Turkey

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DOI	10.1007/s00477-022-02377-x
	Uncertainty analysis for streamflow modeling using multiple optimization algorithms at a data-scarce semi-arid region: Altinapa Reservoir Watershed, Turkey
	Aibaidula, Dilibaier; Ates, Nuray; Dadaser-Celik, Filiz
通讯作者	Dadaser-Celik, F
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN	1436-3240
EISSN	1436-3259
出版年	2023
卷号	37 期号:5 页码:1997-2011
英文摘要	The calibration of ecohydrological models is challenging in semi-arid regions, particularly for data-scarce conditions. Precise uncertainty analysis is also critical for determining the range of uncertainty in model predictions. In this study, we evaluated the applicability of a ecohydrological model, Soil and Water Assessment Tool (SWAT), for a data-scarce semi-arid basin (Altinapa Reservoir Watershed) in Turkey. We used multiple optimization algorithms for model calibration and uncertainty assessment and compared their performances. The SWAT model was set up using the digital elevation model, land use/cover, and soil data obtained from global datasets, and climate data obtained from local stations. The optimization algorithms included Sequential Uncertainty Fitting (SUFI-2), Parameter Solution (ParaSol), Generalized Likelihood Uncertainty Estimation (GLUE), and Particle Swarm Optimization (PSO). Twenty-four parameters with initial parameter ranges were chosen for parameter uncertainty analysis. The performance of four algorithms were evaluated based on the Nash-Sutcliffe Efficiency (NSE), determination coefficient (R-2), P-factor, R-factor, and convenience of implementation of model. The models provided the general representation of the hydrologic processes and hydrological dynamics in the basin. Satisfactory model performance was obtained based on NSE (> 0.5) with the SUFI-2 algorithm during model calibration and validation. R-2 criteria (> 0.6) was met by all algorithms, except for SUFI-2, during calibration, but it was not met during validation. 70 to 80% of the values were bracketed by the 95PPU during the calibration period and 50-60% during the validation period with all four algorithms. The R-factor was smaller than 1 with only SUFI-2 during calibration and with GLUE, ParaSol, and PSO during validation. Overall, the SUFI-2 calculation was accepted as a viable technique for calibration and uncertainty assessment, even though it requires more work and extra requirements for adjusting parameter ranges.
英文关键词	Hydrological modelling Model calibration SWAT Uncertainty analysis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000907095500001
WOS关键词	SWAT MODEL ; PARAMETER UNCERTAINTY ; RIVER-BASIN ; SIMULATING STREAMFLOW ; QUALITY MODELS ; CALIBRATION ; SOIL ; SENSITIVITY ; PERFORMANCE ; CATCHMENT
WOS类目	Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398726
推荐引用方式 GB/T 7714	Aibaidula, Dilibaier,Ates, Nuray,Dadaser-Celik, Filiz. Uncertainty analysis for streamflow modeling using multiple optimization algorithms at a data-scarce semi-arid region: Altinapa Reservoir Watershed, Turkey[J],2023,37(5):1997-2011.
APA	Aibaidula, Dilibaier,Ates, Nuray,&Dadaser-Celik, Filiz.(2023).Uncertainty analysis for streamflow modeling using multiple optimization algorithms at a data-scarce semi-arid region: Altinapa Reservoir Watershed, Turkey.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,37(5),1997-2011.
MLA	Aibaidula, Dilibaier,et al."Uncertainty analysis for streamflow modeling using multiple optimization algorithms at a data-scarce semi-arid region: Altinapa Reservoir Watershed, Turkey".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 37.5(2023):1997-2011.