Flash Flood Susceptibility Mapping Using GIS-Based AHP Method

Choudhury, Subhasish; Basak, Amiya; Biswas, Sankar; Das, Jayanta

doi:10.1007/978-3-030-94544-2_8

Cited by 21 publications

(10 citation statements)

References 64 publications

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“…Therefore, we considered HOFD and VOFD components instead of Euclidean distance to stream to have a reliable model. Choudhury et al (2022) applied the AHP method to identify urban flash flood susceptible areas in another study. The result depicted that the most effective flash flood influencing factors were LULC (26.20%), distance to the river (19.00%), and NDVI (14.20%).…”

Section: Resultsmentioning

confidence: 99%

“…Many studies in flood susceptibility mapping are based on a traditional MCDM method named Analytical Hierarchy Process (AHP). One of the drawbacks of these studies is that this approach does not consider the dependencies between flood conditioning criteria (Choudhury et al, 2022; Das, 2020; Handini et al, 2021; Vilasan & Kapse, 2022). The interdependencies between criteria can be managed via an MCDM technique called ANP.…”

Section: Introductionmentioning

confidence: 99%

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A novel hybrid GIS‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds

Sahraei

Kanani‐Sadat

Homayouni

et al. 2022

J Flood Risk Management

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Characterizing and identification of flood-susceptible areas can be a solution to mitigate the damages and fatality rate. This study proposes a novel hybrid MCDM framework to assess flood susceptibility in large ungauged watersheds dealing with data scarcity issues. The proposed method examines the interdependencies and causal relationships between various criteria affecting the flooding procedure using the DEcision-MAking Trial and Evaluation Laboratory (DEMATEL). Moreover, since experts' opinions contain uncertainty, the fuzzy logic is integrated with DEMATEL to overcome this shortcoming. Then, the local weights of criteria were estimated using the Best-Worst Method (BWM) to enhance the pairwise comparisons process. Final criteria weights were obtained using Fuzzy DEMATEL and BWM results in Analytical Network Process (ANP) super-matrix. Finally, the criteria were distributed spatially using the Complex Proportional Assessment of Alternatives (COPRAS) method based on obtained weights. The proposed method was compared with different approaches such as Fuzzy-DEMATEL ANP, BWM, and AHP using several statistical measures. We concluded that the novel hybrid proposed method outperformed other approaches based on our results. Moreover, by overlaying classified maps with the historical flood events locations, it was concluded that 85.96% of flooded areas were classified as "high" and "very high.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel hybrid GIS‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds

Sahraei

Kanani‐Sadat

Homayouni

et al. 2022

J Flood Risk Management

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“…This research developed a flood hazard map by integrating the seven flood affected strata, similar to other flood hazard researches [45,46]. Furthermore, different researches only have four or six components [47][48][49]. However, using more than six components is generally suggested to decrease the risk of over-rating some aspects due to nonrepresentative ratings controlled by a single factor [50].…”

Section: Flood Hazard Mappingmentioning

confidence: 94%

GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia

Osman

Das²

2023

SN Appl. Sci.

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Floods are the most common and expensive natural calamity, affecting every country. Flooding in the Shebelle River Basin (SRB) in southern Somalia has posed a significant challenge to sustainable development. The main goal of this study was to analyze flood hazard, vulnerability and risk in the part of SRB using GIS-based Multi-Criteria Decision Analysis (MCDA). The flood hazard map was constructed using seven important causative factors: elevation, slope, drainage density, distance to river, rainfall, soil and geology. The results demonstrate that very low, low, moderate, high, and very high flood hazard zones correspond to 10.92%, 24.97%, 29.13%, 21.93% and 13.04% of the area of SRB, respectively. The flood vulnerability map was created using five spatial layers: land use/land cover, population density, distance to road, Global man-made impervious surface (GMIS), and Human built-up area settlement extent (HBASE). In addition, the results of the flood susceptibility and vulnerability maps were used to create a flood risk map. The results demonstrate that for the Shebelle River Basin, 27.6%, 30.9%, 23.6%, 12.1%, and 5.7% area correspond to very low, low, moderate, high, and very high flood risk zones, respectively. The Receiver Operating Characteristics-Area Under the Curve (ROC-AUC) of the flood hazard model exhibited a good prediction accuracy of 0.781. The majority of the basin is at risk of flooding in the very low, low, and moderate ranges; however, some tiny areas are at risk of flooding in the high and very high ranges. Flood hazard, vulnerability and risk maps should be provided and distributed the authorities responsible for flood protection so that people are aware flood risk locations.

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“…3. One of the most effective performance metric techniques for validating the AHP model is the ROC and AUC curve (Youssef et al, 2016;Choudhury et al, 2022). AUC is a region under the ROC curve, which is a graph demonstrating the connection between sensitivity and specificity.…”

Section: Validationmentioning

confidence: 99%

Flood susceptibility assessment on the proposed high-speed train track Qena-Hurghada-Safaga (QHS), Egypt

Ali,

Abdelghany,

Moftah

2023

Preprint

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Climate change is a major global issue, with sea level rise, hurricanes, flash floods, and heat and cold waves all being major threats that have led to significant human and economic losses. Egypt's high-speed electric train project is aiming to reduce climate change and improve public health by providing a greener mode of travel. Flooding is a global threat, particularly in arid regions where it is more severe due to climate change and rapid development. The investigation aims to identify flood-prone zones in the study area, including the proposed third track of the high-speed train Qena-Hurghada-Safaga (QHS), using multi-criteria decision analysis (MCDA). The Analytic Hierarchy Process (AHP) was used to identify seven potential factors for flash floods. AHP was used to assess the significance of each factor in the flood susceptibility map by assigning weights. The most crucial criteria to determine flood-prone locations were surface runoff characteristics (30%), watershed morphometric parameters (22%), and average rainfall distribution (16%). A flood susceptibility map was created by overlaying thematic layers and categorizing them into five categories based on the level of flood intensity in the area. According to the prepared map, the research regions were, in order, very low, low, moderate, high , and very high-prone flood zones (6.04%), (36.02%), (14.63%), (33.30%), and (10.01%), respectively. Finally, the runoff curve number (CN), which regulates the key factor in the flood susceptibility map, was validated using a total of 24 soil samples that were collected along the proposed track between the Red Sea Mountain valleys from Qena to Hurghada. In addition, using receiver operating characteristic (ROC) and area under curve (AUC) analyses, the mapping of flash flood susceptibility was verified. The validation findings revealed an AUC value of 0.81, demonstrating the dependability of the AHP approach. Moreover, some of the recommended technical solutions have been documented to enhance security against such frequent events in particular areas susceptible to flooding and storms.

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Flash Flood Susceptibility Mapping Using GIS-Based AHP Method

Cited by 21 publications

References 64 publications

A novel hybrid GIS‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds

A novel hybrid GIS‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds

GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia

Flood susceptibility assessment on the proposed high-speed train track Qena-Hurghada-Safaga (QHS), Egypt

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