干旱区生态环境知识资源中心(Arid): GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia

Arid

DOI	10.1080/10106049.2019.1566405
	GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia
	Souissi, Dhekra 1; Zouhri, Lahcen 2; Hammami, Salma 1; Msaddek, Mohamed Haythem 1; Zghibi, Adel 1; Dlala, Mahmoud 1
通讯作者	Souissi, Dhekra
来源期刊	GEOCARTO INTERNATIONAL
ISSN	1010-6049
EISSN	1752-0762
出版年	2020
卷号	35 期号:9 页码:991-1017
英文摘要	Floods are considered as a major natural disaster due to their devastating effects that lead to socio-economic losses. The present study is an attempt to prepare a flood hazard susceptibility map of the Gabes region using 'multi-criteria decision making - analytical hierarchy process' model in geographic information system environment. Eight factors have been used in the flood modeling: elevation, land use/land cover, lithology, rainfall intensity, drainage density, distance from the drainage network, slope, and groundwater depth. The impact of each factor contributing in the flood risk was examined by weights using analytical hierarchy process method. The results obtained shows that the most prominent flood occurrence factor is the elevation (22.5%), around 15% of the total area is flooded and the flood hazard index is equal 6.30. The validation of results by a susceptibility zones histogram showed that 74.51% of the observed flood areas are mainly concentrated in a moderate to very high susceptibility zone.
英文关键词	Flood susceptibility GIS analysis analytical hierarchy process (AHP) multi-criteria decision making (MCDM) sensitivity analysis
类型	Article
语种	英语
国家	Tunisia ; France
收录类别	SCI-E
WOS记录号	WOS:000475136400001
WOS关键词	ANALYTICAL HIERARCHY PROCESS ; SUPPORT VECTOR MACHINE ; RECHARGE POTENTIAL ZONES ; LOGISTIC-REGRESSION ; SPATIAL PREDICTION ; RISK-ASSESSMENT ; RIVER-BASIN ; VULNERABILITY ASSESSMENT ; MOUNTAINOUS ROAD ; NEURAL-NETWORK
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215889
作者单位	1.Univ Tunis El Manar, UR13ES26, Paleoenvironm Geomat & Risques Geol, Fac Sci Tunis, Tunis, Tunisia; 2.Inst Polytech UniLasalle Beauvais 19, AGHYLE, SFR Condorcet FR CNRS 3417, Beauvais, France
推荐引用方式 GB/T 7714	Souissi, Dhekra,Zouhri, Lahcen,Hammami, Salma,et al. GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia[J],2020,35(9):991-1017.
APA	Souissi, Dhekra,Zouhri, Lahcen,Hammami, Salma,Msaddek, Mohamed Haythem,Zghibi, Adel,&Dlala, Mahmoud.(2020).GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia.GEOCARTO INTERNATIONAL,35(9),991-1017.
MLA	Souissi, Dhekra,et al."GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia".GEOCARTO INTERNATIONAL 35.9(2020):991-1017.