干旱区生态环境知识资源中心(Arid): Multi-Station Hydrological Modelling to Assess Groundwater Recharge of a Vast Semi-Arid Basin Considering the Problem of Lack of Data: A Case Study in Seybouse Basin, Algeria

Arid

DOI	10.3390/w16010160
	Multi-Station Hydrological Modelling to Assess Groundwater Recharge of a Vast Semi-Arid Basin Considering the Problem of Lack of Data: A Case Study in Seybouse Basin, Algeria
	Inan, Cagri Alperen; Maoui, Ammar; Lucas, Yann; Duplay, Joelle
通讯作者	Inan, CA ; Lucas, Y
来源期刊	WATER
EISSN	2073-4441
出版年	2024
卷号	16 期号:1
英文摘要	Water resource management scenarios have become more crucial for arid to semi-arid regions. Their application prerequisites rigorous hydrological modelling approaches since data are usually exposed to uncertainties and inaccuracies. In this work, Soil Water Assessment Tool (SWAT), an open source semi-distributed, continuous-time, process-based physical hydrological model is used to model hydrological processes and eventually calculate groundwater recharge estimations in Seybouse basin, Northeast Algeria. The model uses estimated rainfall to calibrate the model with observed discharge from hydrometric stations. Model calibration and validation are performed over four hydrometric stations located in the basin. Uncertainty analysis and sensitivity analysis supported the calibration period. SUFI-2 algorithm is used for uncertainty estimations along with a global sensitivity analysis prior to calibration simulations. Simulated flood hydrographs showed generally good accuracy with few misfits on the peaks. The model obtained satisfactory and consistent calibration and validation results for which the Nash score varied from 0.5 to 0.7 for calibration and from -0.1 to 0.6 for validation and R2 from 0.6 to 0.7 for calibration and 0.03 to 0.8 for validation. Moreover, estimated water budget values show strong similarities with the observed values found in the literature. The present work shows that the rigorously calibrated and validated SWAT model can simulate hydrological processes as well as major high and low flows using estimated rainfall data.
英文关键词	hydrology SWAT Seybouse basin SUFI-2 multi-station modelling semi-arid regions groundwater recharge
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001140306000001
WOS关键词	GLOBAL OPTIMIZATION ; WATER-QUALITY ; UNCERTAINTY ; EQUIFINALITY ; PERFORMANCE ; CALIBRATION ; FLOW
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405838
推荐引用方式 GB/T 7714	Inan, Cagri Alperen,Maoui, Ammar,Lucas, Yann,et al. Multi-Station Hydrological Modelling to Assess Groundwater Recharge of a Vast Semi-Arid Basin Considering the Problem of Lack of Data: A Case Study in Seybouse Basin, Algeria[J],2024,16(1).
APA	Inan, Cagri Alperen,Maoui, Ammar,Lucas, Yann,&Duplay, Joelle.(2024).Multi-Station Hydrological Modelling to Assess Groundwater Recharge of a Vast Semi-Arid Basin Considering the Problem of Lack of Data: A Case Study in Seybouse Basin, Algeria.WATER,16(1).
MLA	Inan, Cagri Alperen,et al."Multi-Station Hydrological Modelling to Assess Groundwater Recharge of a Vast Semi-Arid Basin Considering the Problem of Lack of Data: A Case Study in Seybouse Basin, Algeria".WATER 16.1(2024).