2022
DOI: 10.1111/jfr3.12860
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Design and evaluation of a community and impact‐based site‐specific early warning system (SS‐EWS): The SS‐EWS framework

Abstract: The recent extreme rainfall events in Spain such as the storm Gloria have highlighted the gaps in emergency communication, particularly the disconnect between the available impact‐based early warning systems (IBEWSs) and the steps communities take during emergencies. This paper presents a community‐centred framework named ‘site‐specific early warning system’ (SS‐EWS) to co‐design and co‐evaluate with communities an IBEWS for vulnerable locations within high‐risk areas. The components of the framework guide com… Show more

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Cited by 5 publications
(3 citation statements)
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“…Currently, flood forecasting is conducted in many ways. By applying the Artificial Neural Network Approach [47], institutional preconfiguration of community participation in flood risk reduction is carried out [48], and the shortcomings in the previous early warning systems are reviewed [49]. Complex mathematical hydraulic and hydrodynamic numerical models for flood modeling have been developed [44], which are being progressively improved.…”
Section: Preparation Of Objects In the Case Of Predicted Floodmentioning
confidence: 99%
“…Currently, flood forecasting is conducted in many ways. By applying the Artificial Neural Network Approach [47], institutional preconfiguration of community participation in flood risk reduction is carried out [48], and the shortcomings in the previous early warning systems are reviewed [49]. Complex mathematical hydraulic and hydrodynamic numerical models for flood modeling have been developed [44], which are being progressively improved.…”
Section: Preparation Of Objects In the Case Of Predicted Floodmentioning
confidence: 99%
“…Impact forecasts complement these warning messages with explicit information about exposure and potential impacts of the hazard event on an individual, infrastructure, or community level. Impact‐based warning systems inform target users about the impacts on their infrastructure that are expected due to the hazard of a forecasted weather event by considering the site‐specific vulnerability (Meléndez‐Landaverde & Sempere‐Torres, 2022). In short, impact‐based warning systems can communicate ‘what the weather will do’ in addition to ‘what the weather will be’ (Kaltenberger et al, 2020).…”
mentioning
confidence: 99%
“…This can include location‐based warnings. Meléndez‐Landaverde and Sempere‐Torres (2023) evaluate the dissemination of site‐specific impact‐based flood warnings. Aldridge et al (2020) presented a flood impact library approach for generating flood impact forecasts in a computationally efficient way.…”
mentioning
confidence: 99%