Multi-criteria decision-making for the analysis of flash floods: A case study of Awlad Toq-Sherq, Southeast Sohag, Egypt

El-Magd, Sherif Ahmed Abu; Amer, Ranya; Embaby, Ashraf

doi:10.1016/j.jafrearsci.2019.103709

Cited by 40 publications

(12 citation statements)

References 36 publications

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“…Sohag Governorate in Upper Egypt has suffered from the loss of lives and major property damage due to severe flooding events in 1994, 2014(El-Magd et al 2020. The 1994 flash flood collapsed over 100 homes and destroyed 400 acres of reclaimed lands in Sohag (Ali 2014).…”

Section: Case Study Areamentioning

confidence: 99%

Ecohydrology and flood risk management under climate vulnerability in relation to the sustainable development goals (SDGs): a case study in Nagaa Mobarak Village, Egypt

et al. 2022

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This article aims to provide a thorough assessment of water quality and quantity incorporating the estimation of future patterns as a result of climate change from economic, environmental and social perspectives. Its scope extends from studying the physical parameters and rainfall patterns to maintaining an environmental flow with a better water quality using ecohydrological techniques. The village of Nagaa Mobarak in Souhag, Egypt, is taken as a case study being in a critical location that is vulnerable to flash floods. This paper managed to quantify change in water quantity and quality due to the impacts of flash floods and climate change. Several traditional engineering alternatives are proposed for flood management such as constructing a dam, a storage pond and a routing channel to the nearest water body; as well as non-traditional ecohydrological alternatives such as constructing a dam with vegetated foreshore, natural levees and constructed wetlands. The results of applying these methods for our case study showed that a hybrid solution that employs both traditional and non-traditional solutions for flood management is optimal. A constructed wetland along a section of the constructed channel for diverting flow into the Nagaa Hammade Canal would decrease the runoff volume and peak time so that the capacity of the Canal is not exceeded in a flood event and purifies the incoming stormwater improving its quality and the health of the ecosystem within the canal. Moreover, our proposed approach was investigated and found to target 10 out of the 17 UN SDGs.

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Section: Case Study Areamentioning

confidence: 99%

Ecohydrology and flood risk management under climate vulnerability in relation to the sustainable development goals (SDGs): a case study in Nagaa Mobarak Village, Egypt

et al. 2022

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“…The Fuzzy AHP (FAHP) approach is a progressive explanatory method that evolved from the conventional AHP (Chang, 1996;Costache et al, 2022;Meshram et al, 2019). The FAHP model has been used for analyzing complicated decision-making problems (i.e., flood risk mapping) with incomparable experts' priority criteria integrated with GIS (Hategekimana et al 2018;Abu El-Magd et al 2020;Hadian et al 2022). Since, an adequate assessment of FAHP is not available, an integrated Grey Fuzzy Analytic Hierarchy Process (GFAHP) is proposed to examine FFVZs in the current study.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Flash Flood Vulnerable Zones Using Integrated Grey Fuzzy Analytic Hierarchy Process-based Model for a Himalayan Watershed

roy

Dhar

Desai

2022

Preprint

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Flash flood is the most recurrent natural threat in the northeastern part of India, especially during the peak of the monsoon season. Considering the exponential rise in the frequency of flash flood events, identifying the Flash Flood Vulnerable Zones (FFVZs) is one of the most crucial findings to limit their negative consequences. In this study, Grey Fuzzy Analytic Hierarchy Process (GFAHP) based model integrated with the Geographic Information System (GIS) is implemented to assess the flash flood vulnerability in the Ranikhola watershed, East Sikkim, India. The GFAHP combines the benefits of all the traditional Multi-Criteria Decision-Making (MCDM) approaches. The Fuzzy Analytic Hierarchy Process (FAHP) is used to compute the weights, while the weight coefficients are evaluated using the Grey method. A novel Flash Flood Vulnerability Index (FFVI) is proposed to assess the flash flood vulnerability that takes into account twelve natural and anthropogenic parameters. Further, the FFVI map is classified into three FFVZs: low, moderate, and high. The efficacy of the flash flood vulnerability map is calculated by a single effectiveness value (EV), and the result is between moderate and more significant. The sensitivity analysis results show the influence of individual attributes on FFVI and FFVZs.

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“…Predicting flood-prone coastal areas requires consideration of all factors that affect them. These factors, also known as causative factors [8,11,12], conditioning factors [2,6,13], influencing factors [14,15], or influencing indicators [16], are needed as an independent factor contributing to flood incidence in a particular area [17], and can have a major impact on the accuracy of the maps produced [12]. They also reflect the physical characteristics of the area being investigated, and each causes flood differently and cumulatively [13].…”

Section: Introductionmentioning

confidence: 99%

“…Low-lying areas, for instance, are more susceptible to flooding than others, as water is more likely to flow from high to low areas. Steep slopes, on the other hand, tend to slow infiltration and increase surface runoff, which leads to increased flood risk [14,18]. Besides, changes in land-use patterns that form an impermeable surface can increase the velocity of the flow and thus contribute to flooding in the area [19].…”

Section: Introductionmentioning

confidence: 99%

Mapping Coastal Flood Susceptible Areas Using Shannon’s Entropy Model: The Case of Muscat Governorate, Oman

Al-Hinai

Abdalla

2021

IJGI

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Floods are among the most common natural hazards around the world. Mapping and evaluating potential flood hazards are essential for flood risk management and mitigation strategies, particularly in coastal areas. Several factors play significant roles in flooding and recognizing the role of these flood-related factors may enhance flood disaster prediction and mitigation strategies. This study focuses on using Shannon’s entropy model to predict the role of seven factors in causing floods in the Governorate of Muscat, Sultanate of Oman, and mapping coastal flood-prone areas. The seven selected factors (including ground elevation, slope degree, hydrologic soil group (HSG), land use, distance from the coast, distance from the wadi, and distance from the road) were initially prepared and categorized into classes based on their contribution to flood occurrence. In the next step, the entropy model was used to determine the weight and contribution of each factor in overall susceptibility. Finally, results from the previous two steps were combined using ArcGIS software to produce the final coastal flood susceptibility index map that was categorized into five susceptibility zones. The result indicated that land use and HSG are the most causative factors of flooding in the area, and about 133.5 km2 of the extracted area is threatened by coastal floods. The outcomes of this study can provide decision-makers with essential information for identifying flood risks and enhancing adaptation and mitigation strategies. For future work, it is recommended to evaluate the reliability of the obtained result by comparing it with a real flooding event, such as flooding during cyclones Gonu and Phet.

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Multi-criteria decision-making for the analysis of flash floods: A case study of Awlad Toq-Sherq, Southeast Sohag, Egypt

Cited by 40 publications

References 36 publications

Ecohydrology and flood risk management under climate vulnerability in relation to the sustainable development goals (SDGs): a case study in Nagaa Mobarak Village, Egypt

Ecohydrology and flood risk management under climate vulnerability in relation to the sustainable development goals (SDGs): a case study in Nagaa Mobarak Village, Egypt

An Assessment of Flash Flood Vulnerable Zones Using Integrated Grey Fuzzy Analytic Hierarchy Process-based Model for a Himalayan Watershed

Mapping Coastal Flood Susceptible Areas Using Shannon’s Entropy Model: The Case of Muscat Governorate, Oman

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