Simulation of Urban Areas Exposed to Hazardous Flash Flooding Scenarios in Hail City

Hamdy, Omar; Abdelhafez, Mohamed Hssan Hassan; Touahmia, Mabrouk; Alshenaifi, Mohammed; Noaime, Emad; Elkhayat, Khaled; Alghaseb, Mohammed; Ragab, Ayman

doi:10.3390/land12020353

Cited by 5 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Urban flash floods are a rapid rise of water along a stream or low-lying sections of the urban area, usually caused by heavy rainfall (Jimme et al, 2016;Chang et al, 2021;Hamdy et al, 2023). Urban areas have a relatively higher risk of flash flooding due to the presence of large impervious areas and sometimes inefficient drainage system (Sowmya et al, 2015;Tomar et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Gumindoga,

Liwonde,

Rwasoka

et al. 2024

Front. Clim.

View full text Add to dashboard Cite

Floods are major hazard in Mzuzu City, Malawi. This study applied geospatial and hydrological modeling techniques to map flood incidences and hazard in the city. Multi-sensor [Sentinel 1, Sentinel 2, and Moderate Resolution Imaging Spectroradiometer (MODIS)] Normalized Difference Vegetation Index (NDVI) datasets were used to determine the spatio-temporal variation of flood inundation. Ground control points collected using a participatory GIS mapping approach were used to validate the identified flood hazard areas. A Binary Logistic Regression (BLR) model was used to determine and predict the spatial variation of flood hazard as a function of selected environmental factors. The Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) was used to quantify the peak flow and runoff contribution needed for flood in the city. The runoff and peak flow from the HEC-HMS model were subjected to extreme value frequency analysis using the Gumbel Distribution approach before input into the Hydrologic Engineering Center River Analysis System (RAS) (HEC-RAS). The HEC-RAS model was then applied to map flood inundated areas producing flood extents maps for 100, 50, 20, and 10-year return periods, with rain-gauge and Climate Prediction Center MORPHed precipitation (CMORPH) satellite-based rainfall inputs. Results revealed that selected MODIS and Sentinel datasets were effective in delineating the spatial distribution of flood events. Distance from the river network and urban drainage are the most significant factors (p < 0.05) influencing flooding. Consequently, a relatively higher flood hazard probability and/susceptibility was noted in the south-eastern and western-most regions of the study area. The HEC-HMS model calibration (validation) showed satisfactory performance metrics of 0.7 (0.6) and similarly, the HEC-RAS model significantly performed satisfactorily as well (p < 0.05). We conclude that bias corrected satellite rainfall estimates and hydrological modeling tools can be used for flood inundation simulation especially in areas with scarce or poorly designed rain gauges such as Mzuzu City as well as those affected by climate change. These findings have important implications in informing and/updating designs of flood early warning systems and impacts mitigation plans and strategies in developing cities such as Mzuzu.

show abstract

Section: Introductionmentioning

confidence: 99%

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Gumindoga,

Liwonde,

Rwasoka

et al. 2024

Front. Clim.

View full text Add to dashboard Cite

show abstract

“…This was calculated based on a physical status of evacuees, safe evacuation condition, shortest evacuation path, flood shelter, and road capacity. The aim of [63] is to identify urban areas in the Hail region that would be affected by simulated worst-case flash floods. The data sources for the soil type, infiltration, and initial moisture were utilized to create the coverage and index maps.…”

Section: Introductionmentioning

confidence: 99%

The Problem of Effective Evacuation of the Population from Floodplains under Threat of Flooding: Algorithmic and Software Support with Shortage of Resources

et al. 2023

View full text Add to dashboard Cite

Extreme flooding of the floodplains of large lowland rivers poses a danger to the population due to the vastness of the flooded areas. This requires the organization of safe evacuation in conditions of a shortage of temporary and transport resources due to significant differences in the moments of flooding of different spatial parts. We consider the case of a shortage of evacuation vehicles, in which the safe evacuation of the entire population to permanent evacuation points is impossible. Therefore, the evacuation is divided into two stages with the organization of temporary evacuation points on evacuation routes. Our goal is to develop a method for analyzing the minimum resource requirement for the safe evacuation of the population of floodplain territories based on a mathematical model of flood dynamics and minimizing the number of vehicles on a set of safe evacuation schedules. The core of the approach is a numerical hydrodynamic model in shallow water approximation. Modeling the hydrological regime of a real water body requires a multi-layer geoinformation model of the territory with layers of relief, channel structure, and social infrastructure. High-performance computing is performed on GPUs using CUDA. The optimization problem is a variant of the resource investment problem of scheduling theory with deadlines for completing work and is solved on the basis of a heuristic algorithm. We use the results of numerical simulation of floods for the Northern part of the Volga-Akhtuba floodplain to plot the dependence of the minimum number of vehicles that ensure the safe evacuation of the population. The minimum transport resources depend on the water discharge in the Volga river, the start of the evacuation, and the localization of temporary evacuation points. The developed algorithm constructs a set of safe evacuation schedules for the minimum allowable number of vehicles in various flood scenarios. The population evacuation schedules constructed for the Volga-Akhtuba floodplain can be used in practice for various vast river valleys.

show abstract

Flooding in the urban fringes: Analysis of flood inundation and hazard levels within the informal settlement of Kibera in Nairobi, Kenya

Juma,

Olang,

Hassan

et al. 2023

Physics and Chemistry of the Earth, Parts A/B/C

View full text Add to dashboard Cite

Simulation of Urban Areas Exposed to Hazardous Flash Flooding Scenarios in Hail City

Cited by 5 publications

References 31 publications

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

The Problem of Effective Evacuation of the Population from Floodplains under Threat of Flooding: Algorithmic and Software Support with Shortage of Resources

Flooding in the urban fringes: Analysis of flood inundation and hazard levels within the informal settlement of Kibera in Nairobi, Kenya

Contact Info

Product

Resources

About