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

	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
来源期刊	Journal of Arid Land
ISSN	1674-6767
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
收录类别	CSCD
WOS类目	Mineralogy
CSCD记录号	CSCD:7100998
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377437
作者单位	Souei Ali, Georesources Laboratory, Water Researches and Technologies Center (WRTC)of Borj Cedria;;Department of Geology, FST, University of Tunis El Manar, ;;, Soliman;;Tunis, Tunisia;;Tunisia 8020;;2092.; Zouaghi Taher, Department of Geo-Exploration Techniques, Faculty of Earth Sciences, King Abdulaziz University, 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.