Arid
DOI10.3390/su152115422
Hybrid Fuzzy AHP and Frequency Ratio Methods for Assessing Flood Susceptibility in Bayech Basin, Southwestern Tunisia
Ali, Zaineb; Dahri, Noura; Vanclooster, Marnik; Mehmandoostkotlar, Ali; Labbaci, Adnane; Ben Zaied, Mongi; Ouessar, Mohamed
通讯作者Ali, Z
来源期刊SUSTAINABILITY
EISSN2071-1050
出版年2023
卷号15期号:21
英文摘要Flash floods are a significant threat to arid and semi-arid regions, causing considerable loss of life and damage, including roads, bridges, check dams and dikes, reservoir filling, and mudslides in populated areas as well as agricultural fields. Flood risk is a complex process linked to numerous morphological, pedological, geological, anthropic, and climatic factors. In arid environments such as where Bayech basin is located in southwestern Tunisia, the hydrometric data are insufficient due to the absence of measuring points. Using the hybrid fuzzy Analytical Hierarchy Process (F-AHP) and the frequency ratio statistical methods, this study aims to map flooding risks in an ungauged basin that is extremely prone to flooding. Data related to soil texture, slope, land use, altitude, rainfall, drainage density, and distance from the river were used in the risk analysis. The obtained flood risk maps from both F-AHP and FR models were validated on the basis of the Receiver Operating Characteristic (ROC), the Area Under the Curve (AUC), and the inventory map. Results revealed that areas of high and very high susceptibility to flooding are mainly located in the downstream part of the basin, where the town of Gafsa is located. Other upstream sites are also at risk. In this basin, slope is predominantly behind runoff accumulation, whereas soil type plays a major role in amplifying waterproofing and therefore overflow. The results derived from both methods clearly demonstrate a viable and efficient assessment in flood-prone areas. The F-AHP and FR methods have ROC values of 95% and 97%, respectively. Considering these results in the decision-making process, these outputs would enable the implementation of the necessary measures to mitigate flood risk impacts ensure sustainable development along with an effective management in Tunisian arid environments, for the well-being of local communities at risk.
英文关键词flood Bayech basin F-AHP model FR model ROC
类型Article
语种英语
开放获取类型gold
收录类别SCI-E ; SSCI
WOS记录号WOS:001099619300001
WOS关键词ANALYTIC HIERARCHY PROCESS ; STATISTICAL-MODELS ; GROUNDWATER ; BIVARIATE ; REGION ; GIS
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/398855
推荐引用方式
GB/T 7714
Ali, Zaineb,Dahri, Noura,Vanclooster, Marnik,et al. Hybrid Fuzzy AHP and Frequency Ratio Methods for Assessing Flood Susceptibility in Bayech Basin, Southwestern Tunisia[J],2023,15(21).
APA Ali, Zaineb.,Dahri, Noura.,Vanclooster, Marnik.,Mehmandoostkotlar, Ali.,Labbaci, Adnane.,...&Ouessar, Mohamed.(2023).Hybrid Fuzzy AHP and Frequency Ratio Methods for Assessing Flood Susceptibility in Bayech Basin, Southwestern Tunisia.SUSTAINABILITY,15(21).
MLA Ali, Zaineb,et al."Hybrid Fuzzy AHP and Frequency Ratio Methods for Assessing Flood Susceptibility in Bayech Basin, Southwestern Tunisia".SUSTAINABILITY 15.21(2023).
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