Flood hazard assessment and mitigation using a multi-criteria approach in the Sinai Peninsula, Egypt

El-Rawy, Mustafa; Elsadek, Wael M.; Smedt, Florimond De

doi:10.1007/s11069-022-05551-0

Cited by 9 publications

(2 citation statements)

References 55 publications

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“…The flood inventory map plays a pivotal role in assessing flood hazards by identifying susceptible areas at risk of flooding [33,34]. This map enhances its effectiveness by achieving greater precision through the accurate delineation of flooded regions [35].…”

Section: Inventory Mapmentioning

confidence: 99%

A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach

Wahba,

El-Rawy,

Al-Arifi

et al. 2023

Water

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Landslides and flash floods are significant natural hazards with substantial risks to human settlements and the environment, and understanding their interconnection is vital. This research investigates the hazards of landslides and floods in two adopted basins in the Yamaguchi and Shimane prefectures, Japan. This study utilized ten environmental variables alongside categories representing landslide-prone, non-landslide, flooded, and non-flooded areas. Employing a machine-learning approach, namely, a LASSO regression model, we generated Landslide Hazard Maps (LHM), Flood Hazard Maps (FHM), and a Composite Hazard Map (CHM). The LHM identified flood-prone low-lying areas in the northwest and southeast, while central and northwest regions exhibited higher landslide susceptibility. Both LHM and FHM were classified into five hazard levels. Landslide hazards predominantly covered high- to moderate-risk areas, since the high-risk areas constituted 38.8% of the study region. Conversely, flood hazards were mostly low to moderate, with high- and very high-risk areas at 10.49% of the entire study area. The integration of LHM and FHM into CHM emphasized high-risk regions, underscoring the importance of tailored mitigation strategies. The accuracy of the model was assessed by employing the Receiver Operating Characteristic (ROC) curve method, and the Area Under the Curve (AUC) values were determined. The LHM and FHM exhibited an exceptional AUC of 99.36% and 99.06%, respectively, signifying the robust efficacy of the model. The novelty in this study is the generation of an integrated representation of both landslide and flood hazards. Finally, the produced hazard maps are essential for policymaking to address vulnerabilities to landslides and floods.

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Section: Inventory Mapmentioning

confidence: 99%

A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach

Wahba,

El-Rawy,

Al-Arifi

et al. 2023

Water

Self Cite

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“…In addition, the energy adaptation of bioenergy through the cultivation of commercial bio-energy crops and a switch in demand from liquid fuel oil to natural gas could reduce greenhouse gas emissions [16,21,41]. Furthermore, changes in precipitation volume, precipitation type, runoff, and increasing flooding are four dangers due to climate change potentially being reduced through technology advancement, for example, (i) redesigning the levee, food control, and storm drainage systems, as well as the size of the food control reservoirs, and (ii) using rainwater harvesting, which involves gathering and storing rainwater [42][43][44][45][46][47].…”

Section: Deficit In Crop Areas (%) Due To the Climate Change Scenariosmentioning

confidence: 99%

Potential Effects of Climate Change on Agricultural Water Resources in Riyadh Region, Saudi Arabia

El-Rawy,

Fathi,

Zijl

et al. 2023

Sustainability

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The water supply in Saudi Arabia is already depleted. Climate change will exacerbate the demand for these resources. This paper examines how climate change affects the water demands of Saudi Arabia’s most important food crops: wheat, clover, vegetables, and dates. To reduce the adverse climate change impacts on these crops’ productivity, as well as their irrigation water requirements (IWR), a number of adaptation techniques were investigated. The study was carried out for the Ar Riyadh region, Saudi Arabia, with a cultivated area of 179,730 ha. In this study, five climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for two Shared Socio-economic Pathways (SSPs), SSP2-4.5 and SSP5-8.5, were used to forecast and investigate the potential impacts of climate change on agricultural water resources in the Al-Riyadh Region of Saudi Arabia. To simulate IWRs under the present and projected climate change scenarios, CROPWAT8.0 was used. The results showed that the maximum increase ratio in 2100 under SSP2-4.5 and SSP5-8.5, respectively, will be 4.46% and 12.11% higher than in the current case (2020). The results showed that the projected maximum temperatures in 2100 will be increased by 4.46% and 12.11%, respectively, under SSP2-4.5 and SSP5-8.5, compared to the current case (2020), supporting past research on the Arabian Peninsula that revealed that both short- and long-term temperature increases are anticipated to be considerable. Under SSP2-4.5 and SSP5-8.5, the projected ETo was found to be increased by 2.18% and 6.35% in 2100, respectively. Given that evapotranspiration closely mirrors the temperature behavior in the study region from June to August, our data suggest that crop and irrigation demand may increase in the mid to long term. The findings indicate that Riyadh, Saudi Arabia’s capital and commercial hub, will require more water to irrigate agricultural land because of the expanding ETo trend. Under SSP2-4.5 and SSP5-8.5, the projected growth irrigation water requirement (GIWR) will be increased by 3.1% and 6.7% in 2100, respectively. Under SSP5-8.5, crop areas of wheat, clover, dates, maize, citrus, tomato, potato, and other vegetables in Ar Riyadh will decrease by 6.56%, 7.17%, 5.90%, 6.43%, 5.47%, 6.99%, 5.21%, and 5.5%, respectively, in 2100. Conversely, under SSP2-4.5, the crop areas will decrease by 3.10%, 3.67%, 2.35%, 3.83%, 2.32%, 4.18%, 1.72%, and 2.38% in 2100, respectively. This research could aid in clarifying the adverse climate change impacts on GIWR in Ar Riyad, as well as improving water resource management planning.

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An Overview of Water Resource Challenges and Managed Aquifer Recharge (MAR) in the MENA Region

El-Rawy,

Fathi,

Wahba

et al. 2024

Earth and Environmental Sciences Library

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Flood hazard assessment and mitigation using a multi-criteria approach in the Sinai Peninsula, Egypt

Abstract: with details of the nature of the infringement. We will investigate the claim and if justified, we will take the appropriate steps.

Cited by 9 publications

References 55 publications

A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach

A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach

Potential Effects of Climate Change on Agricultural Water Resources in Riyadh Region, Saudi Arabia

An Overview of Water Resource Challenges and Managed Aquifer Recharge (MAR) in the MENA Region

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