Social vulnerability assessment to flood hazard in Souss basin, Morocco

Bouaakkaz, Brahim; Abidine, El Morjani Zine El; Bouchaou, Lhoussaine

doi:10.1016/j.jafrearsci.2022.104774

Cited by 12 publications

(7 citation statements)

References 31 publications

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“…We followed a hybrid procedure using statistical techniques to select those available datasets that explain most of the vulnerability. In terms of covering most of the vulnerable elements within the city this study improves on previous studies where only the social scope is assessed such us Social Vulnerability Index (SoVI) [75] currently used worldwide [54,76]. Infrastructure failures are one of the main causes of extensive flood damage, highlighting their importance in risk assessment [77].…”

Section: Discussionmentioning

confidence: 94%

Vulnerability to Urban Flooding Assessed Based on Spatial Demographic, Socio-Economic and Infrastructure Inequalities

Roldán-Valcarce

Jato-Espino²,

Manchado

et al. 2023

Preprint

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Section: Discussionmentioning

confidence: 94%

Vulnerability to Urban Flooding Assessed Based on Spatial Demographic, Socio-Economic and Infrastructure Inequalities

Roldán-Valcarce

Jato-Espino²,

Manchado

et al. 2023

Preprint

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“…Cutter et al (2003) quantify social vulnerability by compiling a large set of socio-economic variables thought to contribute to environmental vulnerability and employing factor analysis, speci cally principal components analysis (PCA), to identify key indicators of vulnerability and subsequently build a composite index of social vulnerability. Many studies have since adopted or been inspired by the SoVI approach to assess social vulnerability to different environmental hazards such as oods, earthquakes and avalanches in diverse geographical contexts including Brazil (de Loyola Hummell et al, 2016), Morocco (Bouaakkaz et al, 2023), Norway (Holand et al, 2011), Portugal (Guillard-Gonçalves et al, 2015), and Romania (Armaș & Gavriș, 2013) to name a few.…”

Section: Social Vulnerability Index Construction Became Popular In En...mentioning

confidence: 99%

A novel and comprehensive approach for understanding the social impacts of flooding: assessing social flood vulnerability and social flood risk in Denmark

Prall,

Brandt,

Halvorsen

et al. 2024

Preprint

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Flood risk assessment approaches have traditionally been dominated by measures of economic damage. However, the importance of understanding the intangible social impacts of flooding are increasingly being acknowledged. Social vulnerability indices have been constructed in diverse geographical contexts to understand differential susceptibility of different social groups to flood hazards. However, integrated assessments of social vulnerability, exposure, and hazard information are lacking. Here, we construct a national social vulnerability index (SVI) for Denmark and combine this with direct and indirect social exposure data and coastal flood hazard data to construct a national social flood risk index (SFRI). Results show the spatial distribution of social flood vulnerability and social flood risk in Denmark. Our work introduces a comprehensive flood risk modelling approach that explicitly considers the social impacts of flooding in all model components. Such an approach can facilitate a shift towards the implementation of more holistic and inclusive flood risk management and climate change adaptation planning approaches that are usable within the context of existing risk management frameworks such as the EU Floods Directive. We hope that introducing a comprehensive, socially-specific approach to flood risk assessment can help to mainstream social wellbeing, resilience, and justice as central considerations in decision making on flood risk management.

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“…In the variance explained table, the eigenroot of total variance explained is lower than 1 at principal component 4, and the contribution rate of variable explanation reaches 99.254. Then the importance of hidden variables in each principal component can be analysed by analysing the principal component loading coefficients [12]. The specific results are shown in Table 3.…”

Section: Model Solutionmentioning

confidence: 99%

Study on the Impact of Population and Economic Activities on Environmental Indicators through Pca

Zhang,

Yan,

2024

TEBMR

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Principal Component Analysis (PCA) is applied in environmental policy planning to effectively identify and assess key factors affecting carbon peaking and emissions reduction. By analysing multidimensional data covering GDP, population, average temperature, oil consumption and price, and CO2 emissions, PCA reveals complex correlations of environmental challenges. Preliminary regression analyses expose complex relationships between variables, with a particular focus on anomalous oil consumption data for 2020, emphasising the importance of precise analytical methods.The PCA highlights the significant impacts of economic activity, population and oil-related factors on environmental indicators by simplifying the high-dimensional data, retaining the key information, and extracting the principal components with the highest variance.The KMO and Bartlett test confirms the applicability of PCA, with variance interpretation and dendrograms guiding principal component selection to ensure adequate retention of data information. This approach enabled precise identification of factors affecting environmental indicators, construction of a weighted composite model to quantitatively analyse environmental impacts on a yearly basis, and strengthened the understanding of the overall role of population and economic activities on the environment. Overall, the application of PCA highlights its key role in refining complex environmental data, clarifying the drivers of carbon emissions and energy consumption, and in the development of targeted environmental policies, enriching the environmental planning toolkit and demonstrating the contribution of statistical techniques to environmental governance.

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Social vulnerability assessment to flood hazard in Souss basin, Morocco

Cited by 12 publications

References 31 publications

Vulnerability to Urban Flooding Assessed Based on Spatial Demographic, Socio-Economic and Infrastructure Inequalities

Vulnerability to Urban Flooding Assessed Based on Spatial Demographic, Socio-Economic and Infrastructure Inequalities

A novel and comprehensive approach for understanding the social impacts of flooding: assessing social flood vulnerability and social flood risk in Denmark

Study on the Impact of Population and Economic Activities on Environmental Indicators through Pca

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