干旱区生态环境知识资源中心(Arid): Groundwater depth monitoring and short-term prediction: applied to El Hamma aquifer system, southeastern Tunisia

Arid

DOI	10.1007/s12517-019-4490-1
	Groundwater depth monitoring and short-term prediction: applied to El Hamma aquifer system, southeastern Tunisia
	Agoubi, Belgacem; Kharroubi, Adel
通讯作者	Agoubi, Belgacem
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2019
卷号	12 期号:10
英文摘要	In arid and semi-arid areas, such as Tunisia, groundwater depth assessment and monitoring is an important task for groundwater resources sustainable management. The objective of this work is to assess and forecast groundwater depth (GWDs) at short-term, under different impact factors, using stochastic time series (STS) and artificial neural network (ANN). Each model was conceptualized and implemented. Groundwater depth, rainfall, pumping rate and temperature over the period 30years extending from 1986 to 2016 were used. Root mean squared error, bias, R-2, AIC, and BIC were used as sensitivity model performance criteria. Models were implemented, trained, and tested over an observation period and forecasting groundwater depth at short-term over a period 2017-2030. Results show that groundwater abstraction rates increase around 0.46Mm(3)/year, whereas a groundwater depth is in continuously drawdown with a rate of 0.3m/year which requires a monitoring network for sustainable management of water resources. The results are promising and indicate an outstanding suitability of stochastic time series and ANN models for groundwater depth assessment and predictions at short time. The predicted results at short-term will help to draw attention of local authority for clear groundwater sustainable management policy for studied area.
英文关键词	Stochastic time series ANN Groundwater depth Simulation El Hamma Tunisia
类型	Article
语种	英语
国家	Tunisia
收录类别	SCI-E
WOS记录号	WOS:000468029500001
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; MODELS
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214327
作者单位	Univ Gabes, High Inst Water Sci & Tech, Campus Univ, Zerig 6072, Gabes, Tunisia
推荐引用方式 GB/T 7714	Agoubi, Belgacem,Kharroubi, Adel. Groundwater depth monitoring and short-term prediction: applied to El Hamma aquifer system, southeastern Tunisia[J],2019,12(10).
APA	Agoubi, Belgacem,&Kharroubi, Adel.(2019).Groundwater depth monitoring and short-term prediction: applied to El Hamma aquifer system, southeastern Tunisia.ARABIAN JOURNAL OF GEOSCIENCES,12(10).
MLA	Agoubi, Belgacem,et al."Groundwater depth monitoring and short-term prediction: applied to El Hamma aquifer system, southeastern Tunisia".ARABIAN JOURNAL OF GEOSCIENCES 12.10(2019).