Large-scale flood risk assessment and management: Prospects of a systems approach

Abstract

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Economic risk assessment of ammonium nitrate explosions at the Busan Port by determining the building damage using a 3D explosion simulation

“…To prepare for the occurrence of a hazardous material explosion, Korea’s Korea off-site risk assessment (KORA) quantitatively evaluates safety by taking into account the number of components, population density, and importance of surrounding buildings for the predicted impact range. As such, in previous studies, unlike those for earthquakes [ 17 , 18 , 19 , 20 , 21 ] and floods [ 22 , 23 , 24 , 25 ], risk assessment methods for judging the explosion damage to buildings from an economical point of view and accurate spatial information have not been actively investigated.…”

Projecting Flood Risk Dynamics for Effective Long‐Term Adaptation

“…Following the call for more systems‐thinking in flood risk assessment (Barendrecht et al., 2020; Di Baldassarre et al., 2016; Schröter et al., 2021), recent approaches based on agent‐based and socio‐hydrological modeling enhance the possibilities of flood risk modeling (Barendrecht et al., 2017). These methods integrate vulnerability as an inherent component in dynamic models and, hence, go a step further than scenario‐based approaches (Jongman et al., 2015; Metin et al., 2018; Steinhausen et al., 2022).…”

Rapid Assessment for Emergency Infrastructures in Responding Flood related to Mining Activity: Case Study of Banjarasri and Kedungbanteng Flood, Sidoarjo, Indonesia

“…Floods have affected 1.8 billion of people in recent decades [1,2]. Such large-scale flood events, [3] explained that the effects cover extensive regions, encompassing several thousand square kilometres and numerous watersheds, resulting in significant direct impacts at both the national and regional levels. Furthermore, flood is the most frequent type of disaster, 43% of all recorded hydrological, meteorological, climatological, and geophysical events with reported flood losses amounting to 661 billion USD [4].…”