Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

Papagiannaki, Katerina; Petrucci, Olga; Diakakis, Michalis; Kotroni, Vassiliki; Aceto, Luigi; Bianchi, Cinzia; Brázdil, Rudolf; Grimalt‐Gelabert, Miquel; Inbar, Moshe; Kahraman, Abdullah; Kılıç, Özgenur; Krahn, Astrid; Kreibich, Heidi; Llasat, María Carmen; Llasat-Botija, Montserrat; Macdonald, Neil; Brito, Mariana Madruga de; Mercuri, Michele; Pereira, Susana; Řehoř, Jan; Geli, Joan Rosselló; Salvati, Paola; Vinet, Freddy; Zêzere, José Luís

doi:10.1038/s41597-022-01273-x

Cited by 29 publications

(17 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The role of gender in shaping vulnerability is controversial and subject to many interpretations (Cutter and Emrich, 2006;de Brito et al, 2017;. While some studies consider women as being particularly vulnerable, especially in the aftermath of floods in low-income countries (Fatouros and Capetola, 2021), a large-scale database of flood fatalities in Europe found that most flood victims are men under 50 years and who are in good health conditions (Papagiannaki et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach

Moreira

Vanelli²,

Schwamback³

et al. 2023

Front. Water

Self Cite

View full text Add to dashboard Cite

The assessment of flood vulnerability is a complex task that involves numerous uncertainties. Within this context, sensitivity analyses are crucial to better understand the variability of vulnerability index outcomes according to different input parameters. The present study sheds light on the importance of assessing the sensitivity of different criteria weights to construct flood vulnerability indexes using the Maquiné basin (Brazil) as a case study. Specifically, we compared vulnerability scores based on weights derived from a participatory survey with 44 stakeholders to those based on an equal weighting scheme. Results helped us identify areas with low and high uncertainty and the variables contributing to this. Overall, the preference for indicator weights did not vary significantly among stakeholders with distinct socioeconomic characteristics. Furthermore, the choice of weights only had an impact on the spatial distribution of flood vulnerability in certain regions. Compared to equal weights, the flood vulnerability outcomes obtained by averaging the stakeholder scenarios were similar, indicating that the results were robust and not highly sensitive to the choice of weights. By adopting a participatory approach, we were able to consider multiple stakeholders' views, which helped to provide a more comprehensive perspective of flood vulnerability and potentially increased the acceptance of the results. Based on our findings, end-users can better understand the relative importance of each indicator and how they contribute to vulnerability. Furthermore, our results can help identify points where stakeholders disagree, which can be used to facilitate dialogue and consensus building. The methodology applied is straightforward and could be easily adapted to other multi-criteria decision-making problems.

show abstract

Section: Discussionmentioning

confidence: 99%

Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach

Moreira

Vanelli²,

Schwamback³

et al. 2023

Front. Water

Self Cite

View full text Add to dashboard Cite

show abstract

“…While CCI insights can guide equitable strategies, there is a risk of unintended consequences. For example, existing impact databases often overrepresent Europe and the United States (e.g., Kreibich et al., 2023; Papagiannaki et al., 2022), leading to an incomplete understanding of CCI patterns in the Global South. Likewise, when using impact data sets derived from newspaper articles (e.g., de Brito et al., 2020; Sodoge, Kuhlicke, & de Brito, 2023; Stahl et al., 2016), minority perspectives can be marginalized as media representations often prioritize the concerns of powerful groups (Orgad, 2012).…”

Section: Pathways For Future Researchmentioning

confidence: 99%

Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview

de Brito,

Sodoge,

Fekete

et al. 2024

Earth's Future

Self Cite

View full text Add to dashboard Cite

Hydrological extremes, such as droughts and floods, can trigger a complex web of compound and cascading impacts (CCI) due to interdependencies between coupled natural and social systems. However, current decision‐making processes typically only consider one impact and disaster event at a time, ignoring causal chains, feedback loops, and conditional dependencies between impacts. Analyses capturing these complex patterns across space and time are thus needed to inform effective adaptation planning. This perspective paper aims to bridge this critical gap by presenting methods for assessing the dynamics of the multi‐sector CCI of hydrological extremes. We discuss existing challenges, good practices, and potential ways forward. Rather than pursuing a single methodological approach, we advocate for methodological pluralism. We see complementary or even convergent roles for analyses based on quantitative (e.g., data‐mining, systems modeling) and qualitative methods (e.g., mental models, qualitative storylines). The data‐driven and knowledge‐driven methods provided here can serve as a useful starting point for understanding the dynamics of both high‐frequency CCI and low‐likelihood but high‐impact CCI. With this perspective, we hope to foster research on CCI to improve the development of adaptation strategies for reducing the risk of hydrological extremes.

show abstract

“…As they are data obtained from documentary sources, their time resolution is daily: The day of landslide occurrence is available for all cases, while the hour is quoted only in a few cases. As is widely known in the literature, catalogues that can be obtained from documentary sources only include landslides that cause certain damage, especially human losses [52][53][54]. Generally, phenomena that did not cause damage, for example, landslides that occurred in unpopulated areas, are not reported by documentary sources.…”

Section: Historical Rainfall-induced Landslide Geodatabasementioning

confidence: 99%

Multi-Level Data Analyses for Characterizing Rainfall-Induced Landslide Scenarios: The Example of Catanzaro Municipality (South Italy)

Petrucci

Scarcella

Conforti

2023

Water

Self Cite

View full text Add to dashboard Cite

This paper presents a GIS-based approach to create a multilevel data system for detailed knowledge of landslide occurrences in small territorial units such as municipalities. The main aim is to collect all the available data (geological, geomorphological, and climatic data, as well as landslide inventory maps and catalogues) in a structured data management system and perform further analyses to identify the typical landslide scenarios of the study area that can be useful in landslide risk management. We demonstrated the use of the methodology analyzing landslide risk in the municipality of Catanzaro (southern Italy), having a surface of 111.7 km2, 20.5% of which was affected by landslides. The spatial and temporal distribution of landslides highlighted that in several cases, they are reactivations of pre-existing phenomena. In fact, in the municipality, approximately 17% of the buildings fall within landslides-affected areas, 7.9% of which are in areas where landslides are classified as active. Furthermore, active landslides involve 8.1% and 9.5% of the roads and railways, respectively. In the 1934–2020 study period, 53% of activations occurred between October and December and were triggered by daily rain which in the highest percentage of cases (49%) showed values between 50 and 100 mm. The proposed GIS platform can be easily updated in order to preserve the landslide history of the area and can be enriched with further thematic layers (i.e., layers concerning flood events, which often occur simultaneously with major landslide events). The case study demonstrates how the platform can support landslide risk management in terms of monitoring, planning remedial works, and the realization/updating of civil protection plans.

show abstract

Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

Cited by 29 publications

References 78 publications

Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach

Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach

Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview

Multi-Level Data Analyses for Characterizing Rainfall-Induced Landslide Scenarios: The Example of Catanzaro Municipality (South Italy)

Contact Info

Product

Resources

About