干旱区生态环境知识资源中心(Arid): Using statistical models and GIS to delimit the groundwater recharge potential areas and to estimate the infiltration rate: A case study of Nadhour-Sisseb-El Alem Basin, Tunisia

Arid

DOI	10.1007/s40333-021-0092-3
	Using statistical models and GIS to delimit the groundwater recharge potential areas and to estimate the infiltration rate: A case study of Nadhour-Sisseb-El Alem Basin, Tunisia
	Souei, Ali; Zouaghi, Taher
通讯作者	Souei, A (corresponding author), Water Res & Technol Ctr WRTC Borj Cedria, Georesources Lab, Soliman 8020, Tunisia. ; Souei, A (corresponding author), Univ Tunis El Manar, FST, Dept Geol, Tunis 2092, Tunisia.
来源期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
EISSN	2194-7783
出版年	2021
卷号	13 期号:11 页码:1122-1141
英文摘要	The water resources of the Nadhour-Sisseb-El Alem Basin in Tunisia exhibit semi-arid and arid climatic conditions. This induces an excessive pumping of groundwater, which creates drops in water level ranging about 1-2 m/a. Indeed, these unfavorable conditions require interventions to rationalize integrated management in decision making. The aim of this study is to determine a water recharge index (WRI), delineate the potential groundwater recharge area and estimate the potential groundwater recharge rate based on the integration of statistical models resulted from remote sensing imagery, GIS digital data (e.g., lithology, soil, runoff), measured artificial recharge data, fuzzy set theory and multi-criteria decision making (MCDM) using the analytical hierarchy process (AHP). Eight factors affecting potential groundwater recharge were determined, namely lithology, soil, slope, topography, land cover/use, runoff, drainage and lineaments. The WRI is between 1.2 and 3.1, which is classified into five classes as poor, weak, moderate, good and very good sites of potential groundwater recharge area. The very good and good classes occupied respectively 27% and 44% of the study area. The potential groundwater recharge rate was 43% of total precipitation. According to the results of the study, river beds are favorable sites for groundwater recharge.
英文关键词	potential recharge remote sensing statistical models MCDM Nadhour-Sisseb-El Alem Basin
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000729791000003
WOS关键词	THEORETICAL-ANALYSIS ; WATER-TABLE ; ZONES ; INFORMATION ; FLOW
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373690
作者单位	[Souei, Ali] Water Res & Technol Ctr WRTC Borj Cedria, Georesources Lab, Soliman 8020, Tunisia; [Souei, Ali] Univ Tunis El Manar, FST, Dept Geol, Tunis 2092, Tunisia; [Zouaghi, Taher] King Abdulaziz Univ, Fac Earth Sci, Dept Geoexplorat Tech, Jeddah 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Souei, Ali,Zouaghi, Taher. Using statistical models and GIS to delimit the groundwater recharge potential areas and to estimate the infiltration rate: A case study of Nadhour-Sisseb-El Alem Basin, Tunisia[J],2021,13(11):1122-1141.
APA	Souei, Ali,&Zouaghi, Taher.(2021).Using statistical models and GIS to delimit the groundwater recharge potential areas and to estimate the infiltration rate: A case study of Nadhour-Sisseb-El Alem Basin, Tunisia.JOURNAL OF ARID LAND,13(11),1122-1141.
MLA	Souei, Ali,et al."Using statistical models and GIS to delimit the groundwater recharge potential areas and to estimate the infiltration rate: A case study of Nadhour-Sisseb-El Alem Basin, Tunisia".JOURNAL OF ARID LAND 13.11(2021):1122-1141.