PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 7, 2022Water13 citationsOpen Access

Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis

ARAna RiloNational Laboratory for Civil EngineeringATAlexandre Oliveira TavaresSan Antonio CollegePFP. FreireD’Or Institute for Research and Education

Key Points

Key points are not available for this paper at this time.

Abstract

Estuarine margins are usually heavily occupied areas that are commonly affected by compound flooding triggers originating from different sources (e.g., coastal, fluvial, and pluvial). Therefore, estuarine flood management remains a challenge due to the need to combine the distinct dimensions of flood triggers and damages. Past flood data are critical for improve our understanding of flood risks in these areas, while providing the basis for a preliminary flood risk assessment, as required by European Floods Directive. This paper presents a spin-off database of estuarine flood events built upon previously existing databases and a framework for working with qualitative past flood information using multiple correspondence analysis. The methodology is presented, with steps ranging from a spin-off database building process to information extraction techniques, and the statistical method used was further explored through the study of information acquired from the categories and their relation to the dimensions. This work enabled the extraction of the most relevant estuarine flood risk indicators and demonstrates the transversal importance of triggers, since they are of utmost importance for the characterization of estuarine flood risks. The results showed a relation between sets of triggers and damages that are related to estuarine margin land use, demonstrating their ability to inform flood risk management options. This work provides a consistent and coherent approach to use qualitative information on past floods, as a useful contribution in the context of scarce data, where measured and documentary data are not simultaneously available.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Rilo et al. (2022) studied this question.

synapsesocial.com/papers/6a1890643ad5dee7381ef47ahttps://doi.org/10.3390/w14193161
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Dealing with Multisource Information for Estuarine Flood Risk Appraisal in Two Western European Coastal Areas2022 · 5 citations
  2. 2Distinctive features of spatial planning nearby estuaries – An exploratory analysis of water-related rules in municipal master plans in Portugal2021 · 8 citations
  3. 3Enhancing Estuarine Flood Risk Management: Comparative Analysis of Three Estuarine Systems2020 · 3 citations
  4. 4Organizational practices for learning with work accidents throughout their information cycle2017 · 39 citations
  5. 5Increasing flood risk due to river runoff in the estuarine area during a storm landfall2019 · 48 citations