Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia)

Bajabaa, Saleh; Masoud, Milad; Al-Amri, Nassir S.

doi:10.1007/s12517-013-0941-2

Cited by 131 publications

(71 citation statements)

References 14 publications

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“…Flash flooding can be defined as the rapid increase in water level in a stream as a result of heavy rains or the collapse of a natural or artificial dam [8]. The main purpose of FFHSM is to locate sites that are vulnerable to flash flooding in a particular area using a Geographic Information System (GIS) and the available topographic data [7,9,10]. FFHSM is a tool that is needed to improve land use in areas prone to flooding.…”

Section: Introductionmentioning

confidence: 99%

“…The delineation of flood susceptibility areas can be carried out based on basin geomorphologic feature characterization [18,19]. Topography is considered to be the most important controlling factor with respect to the hydrological response to a flash flood [9]. In fact, topography is prominent and crucial both in hydraulic risk mapping and flash flood hazard mapping [20].…”

Section: Introductionmentioning

confidence: 99%

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Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

et al. 2016

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This study focused on producing flash flood hazard susceptibility maps (FFHSM) using frequency ratio (FR) and statistical index (SI) models in the Xiqu Gully (XQG) of Beijing, China. First, a total of 85 flash flood hazard locations (n = 85) were surveyed in the field and plotted using geographic information system (GIS) software. Based on the flash flood hazard locations, a flood hazard inventory map was built. Seventy percent (n = 60) of the flooding hazard locations were randomly selected for building the models. The remaining 30% (n = 25) of the flooded hazard locations were used for validation. Considering that the XQG used to be a coal mining area, coalmine caves and subsidence caused by coal mining exist in this catchment, as well as many ground fissures. Thus, this study took the subsidence risk level into consideration for FFHSM. The ten conditioning parameters were elevation, slope, curvature, land use, geology, soil texture, subsidence risk area, stream power index (SPI), topographic wetness index (TWI), and short-term heavy rain. This study also tested different classification schemes for the values for each conditional parameter and checked their impacts on the results. The accuracy of the FFHSM was validated using area under the curve (AUC) analysis. Classification accuracies were 86.61%, 83.35%, and 78.52% using frequency ratio (FR)-natural breaks, statistical index (SI)-natural breaks and FR-manual classification schemes, respectively. Associated prediction accuracies were 83.69%, 81.22%, and 74.23%, respectively. It was found that FR modeling using a natural breaks classification method was more appropriate for generating FFHSM for the Xiqu Gully.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

et al. 2016

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“…Previous studies have indicated that a flash flood is the combined result of various spatiotemporal factors [4][5][6]. Both qualitative and quantitative methods have been applied in flash flood research.…”

Section: Introductionmentioning

confidence: 99%

Driving Force Analysis of the Temporal and Spatial Distribution of Flash Floods in Sichuan Province

et al. 2017

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Flash floods are important natural disasters in China that can result in casualties and property losses. In this paper, we present a quantitative approach to examine the driving factors of the spatiotemporal distribution of flash floods based on a geographical detector. The environmental background condition (elevation, slope, etc.), precipitation, and human activity factors, as well as changes in these factors, are investigated in Sichuan Province via a driving force analysis. The results show that heavy precipitation is the most important driver, with power of determinant (PD)

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“…of Water Resources of China [30], flood risk maps can be plotted using GIS (Geographic Information Systems) technology, with a management system having the ability to be further developed for dam-break hazard mapping [24,31].…”

Section: Introductionmentioning

confidence: 99%

Management System for Dam-Break Hazard Mapping in a Complex Basin Environment

Mao

Wang

et al. 2017

IJGI

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Flood disasters from dam breaks cause serious loss of human life and immense damage to infrastructure and economic stability. The application of Geographic Information System technology integrated with hydrological modeling for mapping flood-inundated areas and depth can play a momentous role in further minimizing the risk and possible damage. In the present study, base terrain data, hydrological data, and dam engineering data were integrated using the MIKE-21 dam-break model to analyze flood routing under the most serious scenarios. A deterministic approach was used to calculate the hydraulic elements of dam breakage during a flood. Additionally, the hydraulic elements generated by the MIKE-21 dam-break model (a modelling system for estuaries, coastal waters, and seas)-including flood depth, submersion time, and flow direction-were integrated with a digital elevation model of the site downstream of the dam in order to map the possible affected areas. Using an empirical model in addition to using the superimposition of dam flood calculation results and the social and economic survey data, dam damage assessment was implemented. In accordance with a relevant standard, the flood risk mapping guidelines and a set of client/server structures were developed for a management system for dam-break hazard mapping of the Foziling reservoir. The simulation data and the study results can provide a scientific basis for emergency management of the reservoir and provide a socio-economic framework for downstream areas.

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Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia)

Cited by 131 publications

References 14 publications

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

Driving Force Analysis of the Temporal and Spatial Distribution of Flash Floods in Sichuan Province

Management System for Dam-Break Hazard Mapping in a Complex Basin Environment

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