Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

Sadeghi-Pouya, Alireza; Nouri, J.; Mansouri, Nabiollah; Kia-Lashaki, Ali

doi:10.1515/johh-2017-0007

Cited by 8 publications

(2 citation statements)

References 28 publications

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“…However, the study applied risk triangle geometry to quantify flood risk indices from 0 to 8. The plus model could be more suitable for quantitative risk assessments (Maskrey, 1989;Sadeghi-Pouya et al, 2017;Wu et al, 2015). Thus, the plus model was selected using the formula: hazard(H) + exposure(E) + vulnerability(V) − community resilience (C), because it is simpler and easier to scale than a multiplier model (H × E × V/C).…”

Section: Discussionmentioning

confidence: 99%

New conceptual framework for flood risk assessment in Sheffield, UK

Chen

2021

Geographical Research

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This study explores a new framework of flood risk assessment that considers four components, namely hazard, exposure, vulnerability, and community resilience. The key variables and coefficients were selected using principal component analysis and geographically weighted regression (GWR) in a geographic information system (GIS). GWR was applied to present a spatial relation between flood risks and regeneration areas for dependent and independent variables in the four components. Then the new conceptual framework was overlaid as a flood risk map using risk indicators of the four components. The first three components were included in the GIS framework to map flood risk indices, whereas the community resilience component was subtracted from the total indices. Finally, the total number of indices of the flood risk map were divided into nine levels, from 0 to 8. Overall, the study shows the utility of the flood risk map, which is based on the spatial coincidence of mapping of the four components in a case study of Sheffield in the United Kingdom. Areas with an index value of 8 on the flood risk map had the highest flood risks, which points to where there is a need for regeneration to improve flood defences and resilience.

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Section: Discussionmentioning

confidence: 99%

New conceptual framework for flood risk assessment in Sheffield, UK

Chen

2021

Geographical Research

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“…Different methods in addressing flood risk have been advanced [64,65]. According to Balica et al [47], there are at least two distinct techniques in flood risk assessment.…”

Section: Flood Risk Assessment Using a Physical-based And Multicriteria Approachmentioning

confidence: 99%

Tidal Flood Risk on Salt Farming: Evaluation of Post Events in the Northern Part of Java Using a Parametric Approach

Nirwansyah

Braun

2021

Geosciences

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Tidal flood risk threatens coastal urban areas and their agriculture and aquaculture, including salt farming. There is, therefore, an urgency to map and portray risk to reduce casualties and loss. In the floodplain of Cirebon, West Java, where salt farming dominates the landscape, this type of flooding has frequently occurred and disrupted the local economy. Based on two recorded events in 2016 and 2018 as benchmarks, this paper formulates an innovative approach to analyze tidal flood risk in salt farming areas. Our study considers the fundamental concepts of hazard and vulnerability, then uses selective parameters for evaluation in an Analytical Hierarchical Process (AHP)-based Geographic Information System. The analytical process includes weighting criteria judged by experts and uses the resulting values to define the spatial characteristics of each salt parcel. Our high-resolution simulations show that the two flood events in 2016 and 2018 affected almost all salt production areas, particularly in the eastern, middle, and western parts of the Cirebon floodplain, although to very different degrees. The study also uses a physical-based approach to validate these results. The damage estimates show a strong positive correlation for economic loss (r = 0.81, r = 0.84). Finally, the study suggests that our multi-methods approach to assessing tidal flood risk should be considered in disaster mitigation planning and integrated coastal zone management in salt farming areas.

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Flash flood-risk areas zoning using integration of decision-making trial and evaluation laboratory, GIS-based analytic network process and satellite-derived information

Taherizadeh,

Niknam,

Nguyen-Huy

et al. 2023

Nat Hazards

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Assessing areas prone to flash floods is crucial for effective disaster management and mitigation. This study proposes a framework for mapping flood-prone areas by integrating geographic information system (GIS), remote sensing data, and multi-criteria decision-making (MCDM) techniques. The hybrid MCDM model combines the decision-making trial and evaluation laboratory (DEMATEL) with GIS-based analytic network process (ANP) to evaluate flood vulnerability in Golestan province, Iran. Fourteen criteria related to flood potential, including elevation, slope, aspect, vegetation density, soil moisture, flow direction, river distance, rainfall and runoff, flow time, geomorphology, drainage density, soil type, lithology, and land use, were considered. In areas where official data was lacking, a questionnaire was administered to gather information from 15 specialists, experts, and 20 local managers. The relationships between criteria were analyzed using the DEMATEL method, and their weights were determined using the ANP method. Topography was found to have the greatest impact on flood risk, followed by the type of surface and vegetation cover. Hydrographic, soil and geology, climatic also influence flooding in the region. The study identified the northern and central parts of the study area being at higher risk of flooding compared to the southern part. Based on the flood intensity map, 68 villages (50% of all villages in the Qarasu watershed) with a population of approximately 83,595 were identified as at risk of flooding. The proposed GIS-DANP model provides a valuable tool for flood management and decision-making, aiding in risk reduction and minimizing casualties.

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Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

Cited by 8 publications

References 28 publications

New conceptual framework for flood risk assessment in Sheffield, UK

New conceptual framework for flood risk assessment in Sheffield, UK

Tidal Flood Risk on Salt Farming: Evaluation of Post Events in the Northern Part of Java Using a Parametric Approach

Flash flood-risk areas zoning using integration of decision-making trial and evaluation laboratory, GIS-based analytic network process and satellite-derived information

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