Articles | Volume 26, issue 10
https://doi.org/10.5194/nhess-26-4763-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-4763-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A quantitative methodology for analysing physical damage and recovery dynamics from concurrent and consecutive hazards: forensic insights from Puerto Rico
Alessandro Borre
CORRESPONDING AUTHOR
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via all'Opera Pia 13 16145 Genova, Italy
CIMA Research Foundation, Via Armando Magliotto 2, 17100, Savona, Italy
Daria Ottonelli
CIMA Research Foundation, Via Armando Magliotto 2, 17100, Savona, Italy
Eva Trasforini
CIMA Research Foundation, Via Armando Magliotto 2, 17100, Savona, Italy
Tatiana Ghizzoni
CIMA Research Foundation, Via Armando Magliotto 2, 17100, Savona, Italy
Roberto Rudari
CIMA Research Foundation, Via Armando Magliotto 2, 17100, Savona, Italy
Giacomo Zoppi
Department of Economics and Statistics “Cognetti de Martiis”, University of Turin, Lungo Dora Siena, 100A, 10153, Torino, Italy
Giorgio Boni
Department of Civil, Chemical and Environmental Engineering, University of Genoa, Via Montallegro 1, 16145 Genova, Italy
Silvia De Angeli
CORRESPONDING AUTHOR
Université de Lorraine, CNRS, LIEC, F-57000 Metz, France
Université de Lorraine, LOTERR, F-57000 Metz, France
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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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The risk of pluvial flooding in an urban area is addressed using a multidisciplinary approach involving hydrodynamic simulation and deep learning–based object detection to evaluate the exposed motor vehicles in the flooded areas. The objective is to quantify the potential damage based on rainfall patterns obtained from both opportunistic and traditional sensors. The impact is demonstrated in terms of vehicle safety, monetary damage experienced by flooded vehicles, and traffic disruption.
Silvia De Angeli, Lorenzo Villani, Giulio Castelli, Maria Rusca, Giorgio Boni, Elena Bresci, and Luigi Piemontese
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Despite transdisciplinary approaches being increasingly explored to study droughts and their impacts, their depth and breadth are yet to be fully exploited. By integrating insights from different research fields, we present five key dimensions to deepen and broaden the knowledge co-creation process for drought impact studies. Emphasizing social dynamics and power imbalances, we support hydrologists in developing more integrated, power-sensitive, inclusive, situated, and reflexive studies.
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
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This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
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Xu, J.-G., Wu, G., Feng, D.-C., and Fan, J.-J.: Probabilistic multi-hazard fragility analysis of RC bridges under earthquake-tsunami sequential events, Eng. Struct., 238, 112250, https://doi.org/10.1016/j.engstruct.2021.112250, 2021. a
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This study presents a quantitative method to capture how damage caused by concurrent and consecutive hazard events evolves, including how earlier damage and ongoing recovery affect later events. Applied to a sequence of hurricanes and earthquakes in Puerto Rico, it shows that ignoring residual damage significantly underestimates the impacts caused by consecutive events. By accounting for recovery and interaction effects, the method supports more realistic damage assessment and risk planning.
This study presents a quantitative method to capture how damage caused by concurrent and...
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