PreprintArticleVersion 1This version is not peer-reviewed
An Early Warning System for Urban Fluvial Floods Based on Rainfall Depth-Duration Thresholds and a Predefined Library of Flood Event Scenarios: The Case Study of Palermo (Italy)
Version 1
: Received: 24 July 2024 / Approved: 24 July 2024 / Online: 25 July 2024 (00:16:09 CEST)
How to cite:
Pumo, D.; Avanti, M.; Francipane, A.; Noto, L. V. An Early Warning System for Urban Fluvial Floods Based on Rainfall Depth-Duration Thresholds and a Predefined Library of Flood Event Scenarios: The Case Study of Palermo (Italy). Preprints2024, 2024071985. https://doi.org/10.20944/preprints202407.1985.v1
Pumo, D.; Avanti, M.; Francipane, A.; Noto, L. V. An Early Warning System for Urban Fluvial Floods Based on Rainfall Depth-Duration Thresholds and a Predefined Library of Flood Event Scenarios: The Case Study of Palermo (Italy). Preprints 2024, 2024071985. https://doi.org/10.20944/preprints202407.1985.v1
Pumo, D.; Avanti, M.; Francipane, A.; Noto, L. V. An Early Warning System for Urban Fluvial Floods Based on Rainfall Depth-Duration Thresholds and a Predefined Library of Flood Event Scenarios: The Case Study of Palermo (Italy). Preprints2024, 2024071985. https://doi.org/10.20944/preprints202407.1985.v1
APA Style
Pumo, D., Avanti, M., Francipane, A., & Noto, L. V. (2024). An Early Warning System for Urban Fluvial Floods Based on Rainfall Depth-Duration Thresholds and a Predefined Library of Flood Event Scenarios: The Case Study of Palermo (Italy). Preprints. https://doi.org/10.20944/preprints202407.1985.v1
Chicago/Turabian Style
Pumo, D., Antonio Francipane and Leonardo Valerio Noto. 2024 "An Early Warning System for Urban Fluvial Floods Based on Rainfall Depth-Duration Thresholds and a Predefined Library of Flood Event Scenarios: The Case Study of Palermo (Italy)" Preprints. https://doi.org/10.20944/preprints202407.1985.v1
Abstract
Several cities are experiencing an increase in flood hazard and exposure, and consequentially in flood risk, attributable to the coupled effect of climate change and urbanization. Non-structural protection strategies demonstrate significant potential in the short term for mitigating hydraulic risk in urban areas, particularly where the implementation of structural measures is impeded by a complex urban environment. This work proposes an Early Warning System (EWS) for fluvial floods developed for the city of Palermo (Italy). It is based on the preliminary definition of po-tential Flood Event Scenarios (FESs) as a function of typical potential precursors. Each FES pre-dicts first points of flooding, flood areas and water depths, also providing specific hazard maps for people, vehicles, and buildings. The EWS uses rainfall depth-duration thresholds to assess the expected hydrograph as a function of rainfall forecasts and the water stage observed in real time at an upstream section of the river crossing the city. This last also allows for estimating the ante-cedent wetness conditions. Based on this information, the EWS retrieves an expected FES from a pre-built library with a preannouncement time up to 36 h. The EWS is here successfully tested on a historical flood event.
Environmental and Earth Sciences, Water Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
