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

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