Flood risk assessment and mapping using AHP in arid and semiarid regions

Radwan, Farid; Alazba, A. A.; Mossad, Amr

doi:10.1007/s11600-018-0233-z

Cited by 99 publications

(44 citation statements)

References 51 publications

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“…In Makkah area, Subyani [33] estimates flood triggering hydrological factors in three low-lying areas. A thorough literature search on the application of MCDM techniques in flood assessment in the country yielded only one published article [34]. Radwan et al [34] utilized AHP to assess flood risks in Riyadh city based on soil, geology, rainfall, elevation, and drainage systems data, and categorized the city into very low, low, medium, high, and very high risks zones.…”

Section: Previous Studiesmentioning

confidence: 99%

Flash Flood Impact Assessment in Jeddah City: An Analytic Hierarchy Process Approach

Dano

2020

Hydrology

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Floods are among the most destructive natural hazards that cost lives and disrupt the socioeconomic activities of residents, especially in the rapidly growing cities of developing countries. Jeddah, a coastal city situated in Saudi Arabia, has experienced severe flash flood events in recent years. With intense rainfall, extensive coastal developments, and sensitive ecosystems, the city is susceptible to severe flash flood risks. The objective of this article is to apply an Analytic Hierarchy Process (AHP) model to explore the impacts of flash flood hazards and identify the most effective approaches to reducing the flash flood impacts in Jeddah using expert’s opinions. The study utilizes experts’ judgments and employs the AHP for data analyses and modeling. The results indicated that property loss has the highest probability of occurrence in the events of a flash flood with a priority level of 42%, followed by productivity loss (28%). Injuries and death were rated the least priority of 18% and 12%, respectively. Concerning flood impact reduction alternatives, river management (41%) and early warning system (38%) are the most favorable options. The findings could assist the government to design appropriate measures to safeguard the lives and properties of the residents. The study concludes by underscoring the significance of incorporating experts’ judgments in assessing flash flood impacts.

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Section: Previous Studiesmentioning

confidence: 99%

Flash Flood Impact Assessment in Jeddah City: An Analytic Hierarchy Process Approach

Dano

2020

Hydrology

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“…The importance of flood damage is related to landuse, flood characteristics, and the capacity of people to cope with it (Smith & Ward, 1998). Flood hazard mapping is significant for mitigation and prevention approaches (Radwan et al, 2018). It can be done by using flood modeling and RS data with the help of GIS.…”

Section: Rs Application On Flood Analysis Over Cambodiamentioning

confidence: 99%

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Koem¹,

Tantanee²

2020

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“…Several pair combinations were made to choose the optimum consistency ratio and the pair combination whose consistency ratio is under 10% or 0.1 by value is selected [29,30]. The pair wise matrix as shown in Table 3 (…”

Section: Assessment Of Flood Hazard Using Ahpmentioning

confidence: 99%

Novel technique for developing flood hazard map by using AHP: a study on part of Mahanadi River in Odisha

Surwase

Manjusree

Nagamani³

et al. 2019

SN Appl. Sci.

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In India, Odisha state experienced major natural hazards like floods and cyclones. Floods were experienced fifteen times during 2001-2018 and had two major catastrophic cyclones (super-cyclone 1999 and Phailin 2013). Flood is triggered due to meteorological, hydrological, and terrain conditions at any given place. Considering the terrain parameters namely elevation, slope, drainage density, soil and land use/land cover as the contributing factors for flood inundation, a new technique is developed to calculate flood hazard using analytical hierarchy process (AHP). Using multi-temporal satellite derived flood extent, spatial flood frequency map (SFFM) were generated based on the frequency of inundation. SFFM which represents the observed flood extent on ground at different magnitudes of flood and the terrain conditions on the ground are used synergistically for generating the hazard map. Part of Mahanadi River in Odisha which is highly flood-prone is taken for analysis in this study. More than 100 satellite data sets both microwave SAR and optical data acquired at different magnitudes of flood during 2001-2018 were analysed to prepare the SFFM maps. Pair wise comparison rating was given among flood producing factors and weightage of each factor was computed by using GIS based AHP and multi-criteria evaluation techniques. The individual derived weights (in percentage) of the contributing factors obtained were 50.874 for SFFM, 22.775 for elevation, 10.966 for drainage density, 7.225 for slope, 5.914 for land use and 2.936 for soil. Further, the layers were used in weighted overlay tool and respective weights in percentage were given for generating the flood hazard map in GIS environment. The flood hazard was classified into five hazard classes i.e. very high, high, moderate, low, and very low and corresponding hazard area was estimated to be 7467 ha, 12,871 ha, 28,700 ha, 35,518 ha and 292 ha respectively. These statistics and hazard map will help the concerned local authorities for formulating strategic policies for land use planning and minimize the effect of flood on agricultural land and human lives.

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Flood risk assessment and mapping using AHP in arid and semiarid regions

Cited by 99 publications

References 51 publications

Flash Flood Impact Assessment in Jeddah City: An Analytic Hierarchy Process Approach

Flash Flood Impact Assessment in Jeddah City: An Analytic Hierarchy Process Approach

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Novel technique for developing flood hazard map by using AHP: a study on part of Mahanadi River in Odisha

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