Flood Risk Code Mapping Using Multi Criteria Assessment

Khalil, Ragab

doi:10.4236/jgis.2018.106035

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…These basins have low values of the shape factor, ranging from 2.08 (B32) to 5.29 (B40) and steep slopes, ranging from 10.92 (B35) to 36.16% (B15), which accordingly result in high flow velocities, low infiltration, and higher flood peaks (Ogarekpe et al 2020). Moreover, the curve number for these basins is high, (Khalil 2018). The basins with the highest hazard degree (very high) are basins B33 and B42.…”

Section: Flood Hazard Assessmentmentioning

confidence: 99%

Flood hazard mapping using a GIS-based morphometric analysis approach in arid regions, a case study in the Red Sea Region, Egypt

Abdelgawad,

Helal,

Sobeih

et al. 2024

Appl Water Sci

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Flash floods are a major threat to life and properties in arid regions. In recent decades, Egypt has experienced severe flash floods that have caused significant damage across the country, including the Red Sea region. The aim of this study is to map the flood hazards in flood-prone areas along the Red Sea region using a Geographic Information System (GIS)-based morphometric analysis approach. To evaluate the flood hazard degree, the adopted methodology considers various morphometric parameters such as basin area, slope, sinuosity index, shape factor, drainage intensity, circularity ratio, and curve number. GIS techniques were employed to delineate the watershed and the drainage network. The delineated watershed was used together with the digitized maps of soil and land use types to estimate the curve number and the morphometric parameters for each subbasin. The flood hazard degrees are calculated based on the considered morphometric parameters and distinguished based on a five-degree scale ranging from very low to very high. Results indicate that 47% of the study area has a very high flood hazard degree. Furthermore, morphometric analysis results align with the runoff results simulated by a hydrological model, where, for example, basins with a high to very high hazard degree exhibited high runoff. This suggests the influence of physical characteristics on the hydrological behavior of the watershed and further validates the morphometric analysis presented in this work. The results presented here can help policy planners and decision-makers develop appropriate measures to mitigate flash floods and achieve sustainable development in arid regions.

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Section: Flood Hazard Assessmentmentioning

confidence: 99%

Flood hazard mapping using a GIS-based morphometric analysis approach in arid regions, a case study in the Red Sea Region, Egypt

Abdelgawad,

Helal,

Sobeih

et al. 2024

Appl Water Sci

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“…Hydrology analysis include estimation of rainfall depth at a specific return period, determination of catchment morphometric parameters and estimation of runoff depth and runoff volume. The details of hydrology analysis for the study area can be found in [34].…”

Section: -3-2 Hydrology Analysismentioning

confidence: 99%

A new approach to determine the flood hazard impact on road network using 3D city model

Khalil

2022

JES. Journal of Engineering Sciences

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Flash flood in urban area strikes mainly the road network. In fact, the streets during flood act as streams or overland flow paths. This jams the traffic, stops the public services, and interrupts the economic activities. Previous studies have treated floods in urban areas as if they were occurring in rural areas. This study presents a new approach that treats the road network as the path of the flash flood water. The new approach uses a 3D city model as the basis for hydrology analysis. This approach regards the building and the streets as part of the terrain that results in water flowing through the streets as it does in reality. The depth of flood water in the streets is calculated and used as a risk factor. Remote Sensing (RS) and Geographical Information System (GIS) technologies are used to obtain and prepare the required input data for the hydraulic model. Various flood scenarios were investigated for different return periods and flood risk code maps for the road network were generated. The obtained results showed that 41.2% of the road network in the study area is under high flood risk from fairly frequent rainfall events, and this percentage reaches 80% to 90% for low frequent flood events (50 years and 100 years flood). The new approach was evaluated by comparing the derived results with actual flood data and had an accuracy of 77%. The results of this study may help decision makers to take the necessary actions to protect people and property.

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“…The results of volume and area of the polygon features, as well as the code values obtained from the SDM, were utilized to provide a collection of water depth estimates and to synthesize maps from the predicted floodplains. The equation used in computing the flood water depth (FWD) is as follows: where C is the code value (1,-1, or 0); V and Ar are the volume and surface area of the predicted floodplains from SDM, respectively (Cham et al 2016;Khalil 2018).…”

Section: Developing Sdmmentioning

confidence: 99%

A Methodical Assessment of Floodplains in Mixed Land Covers Encompassing Bridges in Alabama State: Implications of Spatial Land Cover Characteristics on Flood Vulnerability

Preetha

Shirani-bidabadi

Al-Hamdan

et al. 2021

Water Resour Manage

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The mixed land covers encompassing bridges (MLB) are integral indicator of the socioeconomic hydrological system, and their progressions are vital for flood risk assessment. However, most of the previous studies have neglected a thorough evaluation of MLBs (e.g., types, areas, and depths) on impacting flood vulnerability. This paper addresses this research gap by methodically assessing the spatial characteristics of MLBs in floodplains and their divergent impacts on flood vulnerability using four case studies of Alabama State in the USA. The hydrological and bridge data were synthesized from United States Geological Survey and National Bridge Inventory, respectively. A union of Hydrologic Engineering Center's-River Analysis System (HEC-RAS), Geographic Information System, and Surface Difference Model were employed to retrieve water surface profiles and floodplain assessments in MLBs. The results highlighted that the occurrence of floodplains was more correlated to flood depths compared to flood areas in the MLBs of Alabama. The spatial contribution of the diverse MLBs in producing deep (19%) and shallow (30%) flood depths in the bridges of Alabama were 49%, while medium flood depths were impacted only on 4% of the MLBs. The highest and lowest flood areas were noticed in the MLBs of pastures and mixed forests, respectively. Overall, the findings implied that the contribution of the individual MLBs in floodplains is multifaceted in the bridges of Alabama with spatially varying land cover distribution. Further, it is recommended that for assessing flood vulnerability, the stakeholders should focus not only on the MLBs but also on its spatially dynamic characteristics.

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Flood Risk Code Mapping Using Multi Criteria Assessment

Cited by 4 publications

References 16 publications

Flood hazard mapping using a GIS-based morphometric analysis approach in arid regions, a case study in the Red Sea Region, Egypt

Flood hazard mapping using a GIS-based morphometric analysis approach in arid regions, a case study in the Red Sea Region, Egypt

A new approach to determine the flood hazard impact on road network using 3D city model

A Methodical Assessment of Floodplains in Mixed Land Covers Encompassing Bridges in Alabama State: Implications of Spatial Land Cover Characteristics on Flood Vulnerability

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