Flood risk index in data-scarce river basins using the AHP and GIS approach

Ramkar, Preeti; Yadav, Shivendra

doi:10.1007/s11069-021-04871-x

Cited by 41 publications

(11 citation statements)

References 41 publications

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“…The AHP method introduced by (Saaty 1987) which uses the pairwise comparison matrix to calculate the weightage of each parameter to establish the vulnerability map. The comparison between different parameters is made by assigning the numerical values to each component based on the relevance and significance (Bengal, Chakraborty, and Mukhopadhyay 2019;Chen, Yeh, and Yu 2011;Danumah et al 2016;Ghosh and Kar 2018;Hu et al 2017;Lin, Wu, and Liang 2019;Ramkar and Yadav 2021). Table 1 shows the pairwise comparison of different topographic parameters.…”

Section: Methodsmentioning

confidence: 99%

Multivariate Flood Risk Assessment of the Unplanned Semi- Urban Region by Incorporating Flood Hazard, Vulnerability, and Exposure

Bhere

Reddy

2022

Preprint

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The mapping of flood risk is important to identify areas at risk and to improve flood disaster management and preparedness. Flood risk is often expressed as the product of the hazard and the probable consequences which is determined in terms of direct damages by assessing flood vulnerability and exposure. This study aims to develop the flood risk assessment (FRA) framework for the dense semi-urban region by incorporating flood hazard, topographic and socio-economic vulnerability, along with exposure, which is calculated by considering housing conditions and classification of the damages by different land use and land cover classes. The FRA at the municipal level is challenging due to the spatial resolution of social, economic, and medical indicators therefore this study attempts to map the flood risk of the semi-urban region where the different zones and housing communities are intertwined due to a lack of town planning. This FRA framework is applied to the Kulgoan-Badlapur Municipal Council (KBMC) located at the Ulhas Riverbank, a west-flowing river in Maharashtra, India. The city is located at the riverbank, which receives more than 2000 mm rainfall annually, and as most growing industries and businesses depend on the river itself, the risk associated with flood increases exponentially. The study shows that the spatial distribution of the flood risk is higher in the wards which are densely populated and near the river stream. Despite low population and assets, some neighborhoods are highly susceptible to flood due to their topographical conditions. Over the years, the population has been increasing in the neighborhoods due to the new real estate projects, which will make them more vulnerable to floods, and the overall risk is increasing. Study shows that the 82% of the area of Valavli and Manjarli ward comes under high flood risk due to high topographic vulnerability and exposure. Similarly the few parts of Industrial zone also comes under the high risk because of its location near river bank. The wards like Kulgaon comes under medium flood risk despite its high socio-economic vulnerability and high exposure which proves that the flood risk is majorly depends on the flood inundation. The exposure-based flood risk assessment will help to frame a more practical and reasonable evaluation of risk for growing urban and industrial zones.

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Section: Methodsmentioning

confidence: 99%

Multivariate Flood Risk Assessment of the Unplanned Semi- Urban Region by Incorporating Flood Hazard, Vulnerability, and Exposure

Bhere

Reddy

2022

Preprint

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“…Their results indicate that some of the most vulnerable people are at high risk of flooding due to socioeconomic characteristics of the population, spatial distribution of the hazard, and the land use and housing types present in the area. Ramkar and Yadav (2021) developed a flood risk index map using an integrated approach of Geospatial and Multiple Criteria Decision-Making techniques. The flood risk index was calculated by integrating the flood hazard and vulnerability maps.…”

Section: Theore Ti C Al Backg Roundmentioning

confidence: 99%

“…Beden and Ulke Keskin (2021) produced a flood map and evaluated the flood risks in case of insufficient flow data in Turkey; Kaźmierczak and Cavan (2011) estimated the SWF risk, encompassing hazard, vulnerability, and exposure, to urban communities in Greater Manchester, UK. Ramkar and Yadav (2021) created a flood risk index in data‐scarce river basins using an Analytical Hierarchical Process and GIS approach. Zokagoa et al (2021) mapped the flood risk using uncertainty propagation analysis on a peak discharge in Quebec.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Flood risk map from hydrological and mobility data: A case study in São Paulo (Brazil)

Tomás

Guarnieri

Jorge

et al. 2022

Transactions in GIS

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Cities increasingly face flood risk primarily due to extensive changes of the natural land cover to built‐up areas with impervious surfaces. In urban areas, flood impacts come mainly from road interruption. This article proposes an urban flood risk map from hydrological and mobility data, considering the megacity of São Paulo, Brazil, as a case study. We estimate the flood susceptibility through the Height Above the Nearest Drainage algorithm; and the potential impact through the exposure and vulnerability components. We aggregate all variables into a regular grid and then classify the cells of each component into three classes: Moderate, High, and Very High. All components, except the flood susceptibility, have few cells in the Very High class. The flood susceptibility component reflects the presence of watercourses, and it has a strong influence on the location of those cells classified as Very High.

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“…Originally, Saaty advocated the Analytical Hierarchy Process (AHP) for the first time in 1979 (Saaty 1979;Wind and Satty 1980). It is widely used for risk prediction and geo-environmental assessment due to it efficient of dealing qualitative data (Alshehri et al 2015;Ercanoglu et al 2008;Nefeslioglu et al 2013;Ramkar and Yadav 2021). However, AHP method cannot reflect actual human thinking style and assessment results always become subjective and imprecise.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of weathering degree through Fuzzy-AHP method and petrophysics analysis for sandstone carvings

et al. 2022

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Study on weathering degree assessment of sandstone carvings play an important role in scientific conservation. However, current state of research on weathering assessment cannot reach the needs of scientific evaluation. In this study, the selected sandstones originate from Jurassic and, soluble salt and acid simulation experiments were carried out on standard samples. The weight, specimen surface hardness, ultrasonic velocity and water absorption are measured by means of the non-destructive methods. Furthermore, mineral composition and petrophysical properties are analyzed on small specimens in laboratory. It is revealed that the main mineral, such as quartz and feldspar, is shown by oblate and prolate in shape. Moisture content has great influence on compressive strength of rock samples. Rock porosity increases with deterioration process. The decrease of quality, surface hardness and ultrasonic velocity with increasing cycles. Conversely, water absorption capillary increase over cycles. In addition, Fuzzy-AHP method is adopted to further evaluate weathering degree on experiment samples. Results in macroscopic show that the value of weathering degree is 0.3271 for sodium sulfate solution, which is shown by moderate weathering; 0.1951 for pH=1 sulfuric acid and 0.1060 for pH=2 sulfuric acid, which is characterized by low weathering; 0.0516 for pH=3 sulfuric acid and 0.0421 for pH=4 sulfuric acid, belonging to very low weathering.

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Flood risk index in data-scarce river basins using the AHP and GIS approach

Cited by 41 publications

References 41 publications

Multivariate Flood Risk Assessment of the Unplanned Semi- Urban Region by Incorporating Flood Hazard, Vulnerability, and Exposure

Multivariate Flood Risk Assessment of the Unplanned Semi- Urban Region by Incorporating Flood Hazard, Vulnerability, and Exposure

Flood risk map from hydrological and mobility data: A case study in São Paulo (Brazil)

Quantitative evaluation of weathering degree through Fuzzy-AHP method and petrophysics analysis for sandstone carvings

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