Articles | Volume 18, issue 7
Nat. Hazards Earth Syst. Sci., 18, 2057–2079, 2018
https://doi.org/10.5194/nhess-18-2057-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 18, 2057–2079, 2018
https://doi.org/10.5194/nhess-18-2057-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
27 Jul 2018
Research article
| 27 Jul 2018
Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy)
Francesca Carisi et al.
Related authors
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020, https://doi.org/10.5194/nhess-20-2997-2020, 2020
Short summary
Short summary
Flood risk management requires a realistic estimation of flood losses. However, the capacity of available flood damage models to depict real damages is questionable. With a joint effort of eight research groups, the objective of this study was to compare the performances of nine models for the estimation of flood damage to buildings. The comparison provided more objective insights on the transferability of the models and on the reliability of their estimations.
Mattia Amadio, Anna Rita Scorzini, Francesca Carisi, Arthur H. Essenfelder, Alessio Domeneghetti, Jaroslav Mysiak, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, https://doi.org/10.5194/nhess-19-661-2019, 2019
Short summary
Short summary
Flood risk management relies on assessments performed using flood loss models of different complexities. We compared the performances of expert-based and empirical damage models on three major flood events in northern Italy. Our findings suggest that multivariate models have better potential to provide reliable damage estimates if extensive ancillary characterisation data are available. Expert-based approaches are better suited for transferability compared to empirically based approaches.
Francesca Carisi, Alessio Domeneghetti, and Attilio Castellarin
Proc. IAHS, 373, 161–166, https://doi.org/10.5194/piahs-373-161-2016, https://doi.org/10.5194/piahs-373-161-2016, 2016
Short summary
Short summary
Can differential land-subsidence significantly alter river flooding dynamics, and thus flood risk in flood prone areas? In the area around Ravenna, in Italy, that experimented a cumulative drop of more than 1.5 m after World War II due to groundwater pumping and gas production platforms, we compared the actual effects on flood-hazard dynamics of differential land-subsidence relative to those associated with other man-made topographic alterations, which proved to be much more significant.
F. Carisi, A. Domeneghetti, and A. Castellarin
Proc. IAHS, 370, 209–215, https://doi.org/10.5194/piahs-370-209-2015, https://doi.org/10.5194/piahs-370-209-2015, 2015
Short summary
Short summary
Our study proposes simplified graphical tools (Hypsometric Vulnerability Curves) for assessing the recent dynamics of the flood vulnerability and risk over a large floodable area along the River Po, Northern Italy, and for defining sustainable flood-risk mitigation strategies. We assess the accuracy of the proposed methodology, based on inundation scenarios simulated with a quasi-2D model, by means of a comparison with a traditional approach relying on the simulations of a to a fully-2D model.
Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022, https://doi.org/10.5194/nhess-22-1857-2022, 2022
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2022-171, https://doi.org/10.5194/egusphere-2022-171, 2022
Short summary
Short summary
Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourages the households to adopt measures without having to experience multiple flood events.
Andrea Magnini, Michele Lombardi, Simone Persiano, Antonio Tirri, Francesco Lo Conti, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 22, 1469–1486, https://doi.org/10.5194/nhess-22-1469-2022, https://doi.org/10.5194/nhess-22-1469-2022, 2022
Short summary
Short summary
We retrieve descriptors of the terrain morphology from a digital elevation model of a 105 km2 study area and blend them through decision tree models to map flood susceptibility and expected water depth. We investigate this approach with particular attention to (a) the comparison with a selected single-descriptor approach, (b) the goodness of decision trees, and (c) the performance of these models when applied to data-scarce regions. We find promising pathways for future research.
Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, and Johannes Quaas
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-96, https://doi.org/10.5194/nhess-2022-96, 2022
Revised manuscript under review for NHESS
Short summary
Short summary
In a warming climate, extreme precipitation events are becoming more frequent. To advance our knowledge on such phenomena we present a multidisciplinary analysis of a selected case study that took place on 29 June 2017 in the Berlin metropolitan area. Our analysis provides evidence of the extremeness of the case from the atmospheric and the impacts perspectives as well as new insights on the physical mechanisms of the event at the meteorological and climate scales.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
Short summary
Short summary
To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Simone Persiano, Alessio Pugliese, Alberto Aloe, Jon Olav Skøien, Attilio Castellarin, and Alberto Pistocchi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-469, https://doi.org/10.5194/essd-2021-469, 2022
Revised manuscript accepted for ESSD
Short summary
Short summary
For about 24,000 river basins across Europe, this study provides a continuous representation of the streamflow regime in terms of empirical flow–duration curves (FDCs), which are key signatures of the hydrological behaviour of a catchment and are widely used for supporting decisions on water resources management, as well as for assessing hydrologic change. FDCs at ungauged sites are estimated by means of a geostatistical procedure starting from data observed at about 3,000 sites across Europe.
Annegret H. Thieken, Guilherme Samprogna Mohor, Heidi Kreibich, and Meike Müller
Nat. Hazards Earth Syst. Sci., 22, 165–185, https://doi.org/10.5194/nhess-22-165-2022, https://doi.org/10.5194/nhess-22-165-2022, 2022
Short summary
Short summary
Various floods hit Germany recently. While there was a river flood with some dike breaches in 2013, flooding in 2016 resulted directly from heavy rainfall, causing overflowing drainage systems in urban areas and destructive flash floods in steep catchments. Based on survey data, we analysed how residents coped with these different floods. We observed significantly different flood impacts, warnings, behaviour and recovery, offering entry points for tailored risk communication and support.
Valeria Cigala, Giulia Roder, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 85–96, https://doi.org/10.5194/nhess-22-85-2022, https://doi.org/10.5194/nhess-22-85-2022, 2022
Short summary
Short summary
Non-male scientists constitute a minority in the geoscience professional environment, and they are underrepresented in disaster risk reduction planning. So far the international agenda has failed to effectively promote gender inclusion in disaster policy, preventing non-male scientists from career development and recognition. Here we share the thoughts, experiences, and priorities of women and non-binary scientists as a starting point to expand the discourse and promote intersectional research.
Gustavo Andrei Speckhann, Heidi Kreibich, and Bruno Merz
Earth Syst. Sci. Data, 13, 731–740, https://doi.org/10.5194/essd-13-731-2021, https://doi.org/10.5194/essd-13-731-2021, 2021
Short summary
Short summary
Dams are an important element of water resources management. Data about dams are crucial for practitioners, scientists, and policymakers. We present the most comprehensive open-access dam inventory for Germany to date. The inventory combines multiple sources of information. It comprises 530 dams with information on name, location, river, start year of construction and operation, crest length, dam height, lake area, lake volume, purpose, dam structure, and building characteristics.
Marco Cerri, Max Steinhausen, Heidi Kreibich, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 21, 643–662, https://doi.org/10.5194/nhess-21-643-2021, https://doi.org/10.5194/nhess-21-643-2021, 2021
Short summary
Short summary
Effective flood management requires information about the potential consequences of flooding. We show how openly accessible data from OpenStreetMap can support the estimation of flood damage for residential buildings. Working with methods of machine learning, the building geometry is used to predict flood damage in combination with information about inundation depth. Our approach makes it easier to transfer models to regions where no detailed data of flood impacts have been observed yet.
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020, https://doi.org/10.5194/nhess-20-2997-2020, 2020
Short summary
Short summary
Flood risk management requires a realistic estimation of flood losses. However, the capacity of available flood damage models to depict real damages is questionable. With a joint effort of eight research groups, the objective of this study was to compare the performances of nine models for the estimation of flood damage to buildings. The comparison provided more objective insights on the transferability of the models and on the reliability of their estimations.
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 20, 2503–2519, https://doi.org/10.5194/nhess-20-2503-2020, https://doi.org/10.5194/nhess-20-2503-2020, 2020
Short summary
Short summary
The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Sergiy Vorogushyn, Björn Guse, Heidi Kreibich, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 20, 967–979, https://doi.org/10.5194/nhess-20-967-2020, https://doi.org/10.5194/nhess-20-967-2020, 2020
Short summary
Short summary
For effective risk management, flood risk should be properly assessed. Traditionally, risk is assessed by making the assumption of invariant flow or loss probabilities (the chance that a given discharge or loss is exceeded) within the river catchment during a single flood event. However, in reality, flooding is more severe in some regions than others. This study indicates the importance of representing the spatial dependence of flood peaks and damage for risk assessments.
Dominik Paprotny, Heidi Kreibich, Oswaldo Morales-Nápoles, Paweł Terefenko, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 20, 323–343, https://doi.org/10.5194/nhess-20-323-2020, https://doi.org/10.5194/nhess-20-323-2020, 2020
Short summary
Short summary
Houses and their contents in Europe are worth trillions of euros, resulting in high losses from natural hazards. Hence, risk assessments need to reliably estimate the size and value of houses, including the value of durable goods kept inside. In this work we show how openly available or open datasets can be used to predict the size of individual residential buildings. Further, we provide standardized monetary values of houses and contents per square metre of floor space for 30 countries.
Mattia Amadio, Anna Rita Scorzini, Francesca Carisi, Arthur H. Essenfelder, Alessio Domeneghetti, Jaroslav Mysiak, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, https://doi.org/10.5194/nhess-19-661-2019, 2019
Short summary
Short summary
Flood risk management relies on assessments performed using flood loss models of different complexities. We compared the performances of expert-based and empirical damage models on three major flood events in northern Italy. Our findings suggest that multivariate models have better potential to provide reliable damage estimates if extensive ancillary characterisation data are available. Expert-based approaches are better suited for transferability compared to empirically based approaches.
Heidi Kreibich, Thomas Thaler, Thomas Glade, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 19, 551–554, https://doi.org/10.5194/nhess-19-551-2019, https://doi.org/10.5194/nhess-19-551-2019, 2019
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Proc. IAHS, 380, 3–8, https://doi.org/10.5194/piahs-380-3-2018, https://doi.org/10.5194/piahs-380-3-2018, 2018
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Björn Guse, Heiko Apel, Heidi Kreibich, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 18, 3089–3108, https://doi.org/10.5194/nhess-18-3089-2018, https://doi.org/10.5194/nhess-18-3089-2018, 2018
Short summary
Short summary
We present a comprehensive sensitivity analysis considering changes along the complete flood risk chain to understand how changes in different drivers affect flood risk. Results show that changes in dike systems or in vulnerability may outweigh changes in often investigated components, such as climate change. Although the specific results are conditional on the case study and assumptions, they highlight the need for a broader consideration of potential drivers of change in a comprehensive way.
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 5735–5739, https://doi.org/10.5194/hess-22-5735-2018, https://doi.org/10.5194/hess-22-5735-2018, 2018
Giuliano Di Baldassarre, Heidi Kreibich, Sergiy Vorogushyn, Jeroen Aerts, Karsten Arnbjerg-Nielsen, Marlies Barendrecht, Paul Bates, Marco Borga, Wouter Botzen, Philip Bubeck, Bruna De Marchi, Carmen Llasat, Maurizio Mazzoleni, Daniela Molinari, Elena Mondino, Johanna Mård, Olga Petrucci, Anna Scolobig, Alberto Viglione, and Philip J. Ward
Hydrol. Earth Syst. Sci., 22, 5629–5637, https://doi.org/10.5194/hess-22-5629-2018, https://doi.org/10.5194/hess-22-5629-2018, 2018
Short summary
Short summary
One common approach to cope with floods is the implementation of structural flood protection measures, such as levees. Numerous scholars have problematized this approach and shown that increasing levels of flood protection can generate a false sense of security and attract more people to the risky areas. We briefly review the literature on this topic and then propose a research agenda to explore the unintended consequences of structural flood protection.
Alessio Pugliese, Simone Persiano, Stefano Bagli, Paolo Mazzoli, Juraj Parajka, Berit Arheimer, René Capell, Alberto Montanari, Günter Blöschl, and Attilio Castellarin
Hydrol. Earth Syst. Sci., 22, 4633–4648, https://doi.org/10.5194/hess-22-4633-2018, https://doi.org/10.5194/hess-22-4633-2018, 2018
Short summary
Short summary
This research work focuses on the development of an innovative method for enhancing the predictive capability of macro-scale rainfall–runoff models by means of a geostatistical apporach. In our method, one can get enhanced streamflow simulations without any further model calibration. Indeed, this method is neither computational nor data-intensive and is implemented only using observed streamflow data and a GIS vector layer with catchment boundaries. Assessments are performed in the Tyrol region.
Marlies Holkje Barendrecht, Alberto Viglione, Heidi Kreibich, Sergiy Vorogushyn, Bruno Merz, and Günter Blöschl
Proc. IAHS, 379, 193–198, https://doi.org/10.5194/piahs-379-193-2018, https://doi.org/10.5194/piahs-379-193-2018, 2018
Short summary
Short summary
The aim of this paper is to assess whether a Socio-Hydrological model can be calibrated to data artificially generated from it. This is not trivial because the model is highly nonlinear and it is not clear what amount of data would be needed for calibration. We demonstrate that, using Bayesian inference, the parameters of the model can be estimated quite accurately from relatively few data, which could be available in real case studies.
Rui Figueiredo, Kai Schröter, Alexander Weiss-Motz, Mario L. V. Martina, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 18, 1297–1314, https://doi.org/10.5194/nhess-18-1297-2018, https://doi.org/10.5194/nhess-18-1297-2018, 2018
Short summary
Short summary
Flood loss modelling is subject to large uncertainty that is often neglected. Most models are deterministic, and large disparities exist among them. Adopting a single model may lead to inaccurate loss estimates and sub-optimal decision-making. This paper proposes the use of multi-model ensembles to address such issues. We demonstrate that this can be a simple and pragmatic approach to obtain more accurate loss estimates and reliable probability distributions of model uncertainty.
Kai Schröter, Daniela Molinari, Michael Kunz, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 18, 963–968, https://doi.org/10.5194/nhess-18-963-2018, https://doi.org/10.5194/nhess-18-963-2018, 2018
Heidi Kreibich, Meike Müller, Kai Schröter, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 17, 2075–2092, https://doi.org/10.5194/nhess-17-2075-2017, https://doi.org/10.5194/nhess-17-2075-2017, 2017
Short summary
Short summary
Early warning is essential for protecting people and mitigating damage in case of flood events. To gain more knowledge, surveys were taken after the 2002 and the 2013 floods in Germany. Results show that early warning and preparedness improved substantially. However, there is still room for further improvement, which needs to be triggered mainly by effective risk and emergency communication.
Matthieu Spekkers, Viktor Rözer, Annegret Thieken, Marie-Claire ten Veldhuis, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 17, 1337–1355, https://doi.org/10.5194/nhess-17-1337-2017, https://doi.org/10.5194/nhess-17-1337-2017, 2017
Annegret H. Thieken, Tina Bessel, Sarah Kienzler, Heidi Kreibich, Meike Müller, Sebastian Pisi, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 16, 1519–1540, https://doi.org/10.5194/nhess-16-1519-2016, https://doi.org/10.5194/nhess-16-1519-2016, 2016
Short summary
Short summary
In June 2013, widespread flooding and consequent damage and losses occurred in central Europe, especially in Germany. The paper explores what data are available to investigate the adverse impacts of the event, what kind of information can be retrieved from these data, and how good data and information fulfil requirements that were recently proposed for disaster reporting on the European and international level, e.g. by the Sendai Framework for Disaster Risk Reduction 2015–2030.
Simone Persiano, Attilio Castellarin, Jose Luis Salinas, Alessio Domeneghetti, and Armando Brath
Proc. IAHS, 373, 95–100, https://doi.org/10.5194/piahs-373-95-2016, https://doi.org/10.5194/piahs-373-95-2016, 2016
Short summary
Short summary
The growing concern about the possible effects of climate change on flood frequency regime is leading Authorities to review reference procedures for design flood estimation. Our study focuses on Triveneto (Italy) and proposes an update of the existing reference procedure by properly considering climate and scale controls on flood frequency. Moreover, the study highlights the remarkable influence of a single extreme-floods year on analyses for detecting possible changes in flood frequency regime.
Francesca Carisi, Alessio Domeneghetti, and Attilio Castellarin
Proc. IAHS, 373, 161–166, https://doi.org/10.5194/piahs-373-161-2016, https://doi.org/10.5194/piahs-373-161-2016, 2016
Short summary
Short summary
Can differential land-subsidence significantly alter river flooding dynamics, and thus flood risk in flood prone areas? In the area around Ravenna, in Italy, that experimented a cumulative drop of more than 1.5 m after World War II due to groundwater pumping and gas production platforms, we compared the actual effects on flood-hazard dynamics of differential land-subsidence relative to those associated with other man-made topographic alterations, which proved to be much more significant.
Heidi Kreibich, Kai Schröter, and Bruno Merz
Proc. IAHS, 373, 179–182, https://doi.org/10.5194/piahs-373-179-2016, https://doi.org/10.5194/piahs-373-179-2016, 2016
Philip Bubeck, Jeroen C. J. H. Aerts, Hans de Moel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 16, 1005–1010, https://doi.org/10.5194/nhess-16-1005-2016, https://doi.org/10.5194/nhess-16-1005-2016, 2016
J. Fohringer, D. Dransch, H. Kreibich, and K. Schröter
Nat. Hazards Earth Syst. Sci., 15, 2725–2738, https://doi.org/10.5194/nhess-15-2725-2015, https://doi.org/10.5194/nhess-15-2725-2015, 2015
Short summary
Short summary
During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The case study of the June 2013 flood in the city of Dresden shows that social media may help to bridge the information gap when traditional data sources are lacking or are sparse.
J. Hall, B. Arheimer, G. T. Aronica, A. Bilibashi, M. Boháč, O. Bonacci, M. Borga, P. Burlando, A. Castellarin, G. B. Chirico, P. Claps, K. Fiala, L. Gaál, L. Gorbachova, A. Gül, J. Hannaford, A. Kiss, T. Kjeldsen, S. Kohnová, J. J. Koskela, N. Macdonald, M. Mavrova-Guirguinova, O. Ledvinka, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, M. Osuch, J. Parajka, R. A. P. Perdigão, I. Radevski, B. Renard, M. Rogger, J. L. Salinas, E. Sauquet, M. Šraj, J. Szolgay, A. Viglione, E. Volpi, D. Wilson, K. Zaimi, and G. Blöschl
Proc. IAHS, 370, 89–95, https://doi.org/10.5194/piahs-370-89-2015, https://doi.org/10.5194/piahs-370-89-2015, 2015
F. Carisi, A. Domeneghetti, and A. Castellarin
Proc. IAHS, 370, 209–215, https://doi.org/10.5194/piahs-370-209-2015, https://doi.org/10.5194/piahs-370-209-2015, 2015
Short summary
Short summary
Our study proposes simplified graphical tools (Hypsometric Vulnerability Curves) for assessing the recent dynamics of the flood vulnerability and risk over a large floodable area along the River Po, Northern Italy, and for defining sustainable flood-risk mitigation strategies. We assess the accuracy of the proposed methodology, based on inundation scenarios simulated with a quasi-2D model, by means of a comparison with a traditional approach relying on the simulations of a to a fully-2D model.
S. Ceola, B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione, and T. Wagener
Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, https://doi.org/10.5194/hess-19-2101-2015, 2015
Short summary
Short summary
We present the outcomes of a collaborative hydrological experiment undertaken by five different international research groups in a virtual laboratory. Moving from the definition of accurate protocols, a rainfall-runoff model was independently applied by the research groups, which then engaged in a comparative discussion. The results revealed that sharing protocols and running the experiment within a controlled environment is fundamental for ensuring experiment repeatability and reproducibility.
S. Kienzler, I. Pech, H. Kreibich, M. Müller, and A. H. Thieken
Nat. Hazards Earth Syst. Sci., 15, 505–526, https://doi.org/10.5194/nhess-15-505-2015, https://doi.org/10.5194/nhess-15-505-2015, 2015
K. Schröter, M. Kunz, F. Elmer, B. Mühr, and B. Merz
Hydrol. Earth Syst. Sci., 19, 309–327, https://doi.org/10.5194/hess-19-309-2015, https://doi.org/10.5194/hess-19-309-2015, 2015
Short summary
Short summary
Extreme antecedent precipitation, increased initial hydraulic load in the river network and strong but not extraordinary event precipitation were key drivers for the flood in June 2013 in Germany. Our results are based on extreme value statistics and aggregated severity indices which we evaluated for a set of 74 historic large-scale floods. This flood database and the methodological framework enable the rapid assessment of future floods using precipitation and discharge observations.
J. L. Salinas, A. Castellarin, A. Viglione, S. Kohnová, and T. R. Kjeldsen
Hydrol. Earth Syst. Sci., 18, 4381–4389, https://doi.org/10.5194/hess-18-4381-2014, https://doi.org/10.5194/hess-18-4381-2014, 2014
A. Pugliese, A. Castellarin, and A. Brath
Hydrol. Earth Syst. Sci., 18, 3801–3816, https://doi.org/10.5194/hess-18-3801-2014, https://doi.org/10.5194/hess-18-3801-2014, 2014
P. Hudson, W. J. W. Botzen, H. Kreibich, P. Bubeck, and J. C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 14, 1731–1747, https://doi.org/10.5194/nhess-14-1731-2014, https://doi.org/10.5194/nhess-14-1731-2014, 2014
M. Kunz, B. Mühr, T. Kunz-Plapp, J. E. Daniell, B. Khazai, F. Wenzel, M. Vannieuwenhuyse, T. Comes, F. Elmer, K. Schröter, J. Fohringer, T. Münzberg, C. Lucas, and J. Zschau
Nat. Hazards Earth Syst. Sci., 13, 2579–2598, https://doi.org/10.5194/nhess-13-2579-2013, https://doi.org/10.5194/nhess-13-2579-2013, 2013
A. Domeneghetti, S. Vorogushyn, A. Castellarin, B. Merz, and A. Brath
Hydrol. Earth Syst. Sci., 17, 3127–3140, https://doi.org/10.5194/hess-17-3127-2013, https://doi.org/10.5194/hess-17-3127-2013, 2013
I. Seifert, W. J. W. Botzen, H. Kreibich, and J. C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 13, 1691–1705, https://doi.org/10.5194/nhess-13-1691-2013, https://doi.org/10.5194/nhess-13-1691-2013, 2013
V. Meyer, N. Becker, V. Markantonis, R. Schwarze, J. C. J. M. van den Bergh, L. M. Bouwer, P. Bubeck, P. Ciavola, E. Genovese, C. Green, S. Hallegatte, H. Kreibich, Q. Lequeux, I. Logar, E. Papyrakis, C. Pfurtscheller, J. Poussin, V. Przyluski, A. H. Thieken, and C. Viavattene
Nat. Hazards Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, https://doi.org/10.5194/nhess-13-1351-2013, 2013
S. A. Archfield, A. Pugliese, A. Castellarin, J. O. Skøien, and J. E. Kiang
Hydrol. Earth Syst. Sci., 17, 1575–1588, https://doi.org/10.5194/hess-17-1575-2013, https://doi.org/10.5194/hess-17-1575-2013, 2013
B. Merz, H. Kreibich, and U. Lall
Nat. Hazards Earth Syst. Sci., 13, 53–64, https://doi.org/10.5194/nhess-13-53-2013, https://doi.org/10.5194/nhess-13-53-2013, 2013
B. Jongman, H. Kreibich, H. Apel, J. I. Barredo, P. D. Bates, L. Feyen, A. Gericke, J. Neal, J. C. J. H. Aerts, and P. J. Ward
Nat. Hazards Earth Syst. Sci., 12, 3733–3752, https://doi.org/10.5194/nhess-12-3733-2012, https://doi.org/10.5194/nhess-12-3733-2012, 2012
E. Baratti, A. Montanari, A. Castellarin, J. L. Salinas, A. Viglione, and A. Bezzi
Hydrol. Earth Syst. Sci., 16, 4651–4660, https://doi.org/10.5194/hess-16-4651-2012, https://doi.org/10.5194/hess-16-4651-2012, 2012
Related subject area
Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Machine learning models to predict myocardial infarctions from past climatic and environmental conditions
Reliability of flood marks and practical relevance for flood hazard assessment in southwestern Germany
Invited perspectives: Managed realignment as a solution to mitigate coastal flood risks – optimizing success through knowledge co-production
Invited perspectives: Views of 350 natural hazard community members on key challenges in natural hazards research and the Sustainable Development Goals
Estimating return intervals for extreme climate conditions related to winter disasters and livestock mortality in Mongolia
Surveying the surveyors to address risk perception and adaptive-behaviour cross-study comparability
Comparison of sustainable flood risk management by four countries – the United Kingdom, the Netherlands, the United States, and Japan – and the implications for Asian coastal megacities
Projected impact of heat on mortality and labour productivity under climate change in Switzerland
Full-scale experiments to examine the role of deadwood in rockfall dynamics in forests
Predicting drought and subsidence risks in France
The determinants affecting the intention of urban residents to prepare for flood risk in China
Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis
Risk communication during seismo-volcanic crises: the example of Mayotte, France
Invited perspectives: Challenges and step changes for natural hazard – perspectives from the German Committee for Disaster Reduction (DKKV)
Invited perspectives: When research meets practice: challenges, opportunities, and suggestions from the implementation of the Floods Directive in the largest Italian river basin
Rapid landslide risk zoning toward multi-slope units of the Neikuihui tribe for preliminary disaster management
INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium)
Effective uncertainty visualization for aftershock forecast maps
Building-scale flood loss estimation through enhanced vulnerability pattern characterization: application to an urban flood in Milano, Italy
Invited perspectives: A research agenda towards disaster risk management pathways in multi-(hazard-)risk assessment
Education, financial aid, and awareness can reduce smallholder farmers' vulnerability to drought under climate change
Regional county-level housing inventory predictions and the effects on hurricane risk
Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences
Invited Perspectives: “Small country, big challenges – Switzerland's hazard prevention research”
Invited perspectives: Challenges and future directions in improving bridge flood resilience
Bangladesh's vulnerability to cyclonic coastal flooding
A geography of drought indices: mismatch between indicators of drought and its impacts on water and food securities
Cost–benefit analysis of coastal flood defence measures in the North Adriatic Sea
About the return period of a catastrophe
Integrated Seismic Risk Assessment in Nepal
Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru
Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to agricultural sector
A simulation–optimization framework for post-disaster allocation of mental health resources
Lessons learned about the importance of raising risk awareness in the Mediterranean region (north Morocco and west Sardinia, Italy)
Stochastic system dynamics modelling for climate change water scarcity assessment of a reservoir in the Italian Alps
Multiple hazards and risk perceptions over time: the availability heuristic in Italy and Sweden under COVID-19
Review article: Mapping the adaptation solution space – lessons from Jakarta
Risk perception of local stakeholders on natural hazards: implications for theory and practice
Brief communication: Effective earthquake early warning systems: appropriate messaging and public awareness roles
Flood–pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study
Dynamic Risk Assessment of Compound Hazards Based on VFS-IEM-IDM: A Case Study of Typhoon-Rainstorm Hazards in Shenzhen, China
Review article: Brief history of volcanic risk in the Neapolitan area (Campania, southern Italy): a critical review
Are interactions important in estimating flood damage to economic entities? The case of wine-making in France
Residential building stock modelling for mainland China targeted for seismic risk assessment
Longitudinal survey data for diversifying temporal dynamics in flood risk modelling
Flood and drought risk assessment for agricultural areas (Tagus Estuary, Portugal)
An inventory of Alpine drought impact reports to explore past droughts in a mountain region
The potential of machine learning for weather index insurance
Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models
Indirect flood impacts and cascade risk across interdependent linear infrastructures
Lennart Marien, Mahyar Valizadeh, Wolfgang zu Castell, Christine Nam, Diana Rechid, Alexandra Schneider, Christine Meisinger, Jakob Linseisen, Kathrin Wolf, and Laurens M. Bouwer
Nat. Hazards Earth Syst. Sci., 22, 3015–3039, https://doi.org/10.5194/nhess-22-3015-2022, https://doi.org/10.5194/nhess-22-3015-2022, 2022
Short summary
Short summary
Myocardial infarctions (MIs; heart attacks) are influenced by temperature extremes, air pollution, lack of green spaces and ageing population. Here, we apply machine learning (ML) models in order to estimate the influence of various environmental and demographic risk factors. The resulting ML models can accurately reproduce observed annual variability in MI and inter-annual trends. The models allow quantification of the importance of individual factors and can be used to project future risk.
Annette Sophie Bösmeier, Iso Himmelsbach, and Stefan Seeger
Nat. Hazards Earth Syst. Sci., 22, 2963–2979, https://doi.org/10.5194/nhess-22-2963-2022, https://doi.org/10.5194/nhess-22-2963-2022, 2022
Short summary
Short summary
Encouraging a systematic use of flood marks for more comprehensive flood risk management, we collected a large number of marks along the Kinzig, southwestern Germany, and tested them for plausibility and temporal continuance. Despite uncertainty, the marks appeared to be an overall consistent and practical source that may also increase flood risk awareness. A wide agreement between the current flood hazard maps and the collected flood marks moreover indicated a robust local hazard assessment.
Mark Schuerch, Hannah L. Mossman, Harriet E. Moore, and Joshua Kiesel
Nat. Hazards Earth Syst. Sci., 22, 2879–2890, https://doi.org/10.5194/nhess-22-2879-2022, https://doi.org/10.5194/nhess-22-2879-2022, 2022
Short summary
Short summary
Coastal nature-based solutions to adapt to sea-level rise, such as managed realignments (MRs), are becoming increasingly popular amongst scientists and coastal managers. However, local communities often oppose these projects, partly because scientific evidence for their efficiency is limited. Here, we propose a framework to work with stakeholders and communities to define success variables of MR projects and co-produce novel knowledge on the projects’ efficiency to mitigate coastal flood risks.
Robert Šakić Trogrlić, Amy Donovan, and Bruce D. Malamud
Nat. Hazards Earth Syst. Sci., 22, 2771–2790, https://doi.org/10.5194/nhess-22-2771-2022, https://doi.org/10.5194/nhess-22-2771-2022, 2022
Short summary
Short summary
Here we present survey responses of 350 natural hazard community members to key challenges in natural hazards research and step changes to achieve the Sustainable Development Goals. Challenges identified range from technical (e.g. model development, early warning) to governance (e.g. co-production with community members). Step changes needed are equally broad; however, the majority of answers showed a need for wider stakeholder engagement, increased risk management and interdisciplinary work.
Masahiko Haraguchi, Nicole Davi, Mukund Palat Rao, Caroline Leland, Masataka Watanabe, and Upmanu Lall
Nat. Hazards Earth Syst. Sci., 22, 2751–2770, https://doi.org/10.5194/nhess-22-2751-2022, https://doi.org/10.5194/nhess-22-2751-2022, 2022
Short summary
Short summary
Mass livestock mortality during severe winters (dzud in Mongolian) is a compound event. Summer droughts are a precondition for dzud. We estimate the return levels of relevant variables: summer drought conditions and minimum winter temperature. The result shows that the return levels of drought conditions vary over time. Winter severity, however, is constant. We link climatic factors to socioeconomic impacts and draw attention to the need for index insurance.
Samuel Rufat, Mariana Madruga de Brito, Alexander Fekete, Emeline Comby, Peter J. Robinson, Iuliana Armaş, W. J. Wouter Botzen, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 22, 2655–2672, https://doi.org/10.5194/nhess-22-2655-2022, https://doi.org/10.5194/nhess-22-2655-2022, 2022
Short summary
Short summary
It remains unclear why people fail to act adaptively to reduce future losses, even when there is ever-richer information available. To improve the ability of researchers to build cumulative knowledge, we conducted an international survey – the Risk Perception and Behaviour Survey of Surveyors (Risk-SoS). We find that most studies are exploratory and often overlook theoretical efforts that would enable the accumulation of evidence. We offer several recommendations for future studies.
Faith Ka Shun Chan, Liang Emlyn Yang, Gordon Mitchell, Nigel Wright, Mingfu Guan, Xiaohui Lu, Zilin Wang, Burrell Montz, and Olalekan Adekola
Nat. Hazards Earth Syst. Sci., 22, 2567–2588, https://doi.org/10.5194/nhess-22-2567-2022, https://doi.org/10.5194/nhess-22-2567-2022, 2022
Short summary
Short summary
Sustainable flood risk management (SFRM) has become popular since the 1980s. This study examines the past and present flood management experiences in four developed countries (UK, the Netherlands, USA, and Japan) that have frequently suffered floods. We analysed ways towards SFRM among Asian coastal cities, which are still reliant on a hard-engineering approach that is insufficient to reduce future flood risk. We recommend stakeholders adopt mixed options to undertake SFRM practices.
Zélie Stalhandske, Valentina Nesa, Marius Zumwald, Martina S. Ragettli, Alina Galimshina, Niels Holthausen, Martin Röösli, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 22, 2531–2541, https://doi.org/10.5194/nhess-22-2531-2022, https://doi.org/10.5194/nhess-22-2531-2022, 2022
Short summary
Short summary
We model the impacts of heat on both mortality and labour productivity in Switzerland in a changing climate. We estimate 658 heat-related death currently per year in Switzerland and CHF 665 million in losses in labour productivity. Should we remain on a high-emissions pathway, these values may double or even triple by the end of the century. Under a lower-emissions scenario impacts are expected to slightly increase and peak by around mid-century.
Adrian Ringenbach, Elia Stihl, Yves Bühler, Peter Bebi, Perry Bartelt, Andreas Rigling, Marc Christen, Guang Lu, Andreas Stoffel, Martin Kistler, Sandro Degonda, Kevin Simmler, Daniel Mader, and Andrin Caviezel
Nat. Hazards Earth Syst. Sci., 22, 2433–2443, https://doi.org/10.5194/nhess-22-2433-2022, https://doi.org/10.5194/nhess-22-2433-2022, 2022
Short summary
Short summary
Forests have a recognized braking effect on rockfalls. The impact of lying deadwood, however, is mainly neglected. We conducted 1 : 1-scale rockfall experiments in three different states of a spruce forest to fill this knowledge gap: the original forest, the forest including lying deadwood and the cleared area. The deposition points clearly show that deadwood has a protective effect. We reproduced those experimental results numerically, considering three-dimensional cones to be deadwood.
Arthur Charpentier, Molly James, and Hani Ali
Nat. Hazards Earth Syst. Sci., 22, 2401–2418, https://doi.org/10.5194/nhess-22-2401-2022, https://doi.org/10.5194/nhess-22-2401-2022, 2022
Short summary
Short summary
Predicting consequences of drought episodes is complex, all the more when focusing on subsidence. We use 20 years of insurer data to derive a model to predict both the intensity and the severity of such events, using geophysical and climatic information located in space and time.
Tiantian Wang, Yunmeng Lu, Tiezhong Liu, Yujiang Zhang, Xiaohan Yan, and Yi Liu
Nat. Hazards Earth Syst. Sci., 22, 2185–2199, https://doi.org/10.5194/nhess-22-2185-2022, https://doi.org/10.5194/nhess-22-2185-2022, 2022
Short summary
Short summary
To identify the main determinants influencing urban residents' intention to prepare for flood risk in China, we developed an integrated theoretical framework based on protection motivation theory (PMT) and validated it with structural equation modeling. The results showed that both threat perception and coping appraisal were effective in increasing residents' intention to prepare. In addition, individual heterogeneity and social context also had an impact on preparedness intentions.
Ji-Myong Kim, Sang-Guk Yum, Hyunsoung Park, and Junseo Bae
Nat. Hazards Earth Syst. Sci., 22, 2131–2144, https://doi.org/10.5194/nhess-22-2131-2022, https://doi.org/10.5194/nhess-22-2131-2022, 2022
Short summary
Short summary
Insurance data has been utilized with deep learning techniques to predict natural disaster damage losses in South Korea.
Maud Devès, Robin Lacassin, Hugues Pécout, and Geoffrey Robert
Nat. Hazards Earth Syst. Sci., 22, 2001–2029, https://doi.org/10.5194/nhess-22-2001-2022, https://doi.org/10.5194/nhess-22-2001-2022, 2022
Short summary
Short summary
This paper focuses on the issue of population information about natural hazards and disaster risk. It builds on the analysis of the unique seismo-volcanic crisis on the island of Mayotte, France, that started in May 2018 and lasted several years. We document the gradual response of the actors in charge of scientific monitoring and risk management. We then make recommendations for improving risk communication strategies in Mayotte and also in contexts where comparable geo-crises may happen.
Benni Thiebes, Ronja Winkhardt-Enz, Reimund Schwarze, and Stefan Pickl
Nat. Hazards Earth Syst. Sci., 22, 1969–1972, https://doi.org/10.5194/nhess-22-1969-2022, https://doi.org/10.5194/nhess-22-1969-2022, 2022
Short summary
Short summary
The worldwide challenge of the present as well as the future is to navigate the global community to a sustainable and secure future. Humanity is increasingly facing multiple risks under more challenging conditions. The continuation of climate change and the ever more frequent occurrence of extreme, multi-hazard, and cascading events are interacting with increasingly complex and interconnected societies.
Tommaso Simonelli, Laura Zoppi, Daniela Molinari, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 22, 1819–1823, https://doi.org/10.5194/nhess-22-1819-2022, https://doi.org/10.5194/nhess-22-1819-2022, 2022
Short summary
Short summary
The paper discusses challenges (and solutions) emerged during a collaboration among practitioners, stakeholders, and scientists in the definition of flood damage maps in the Po River District. Social aspects were proven to be fundamental components of the risk assessment; variety of competences in the working group was key in finding solutions and revealing weaknesses of intermediate proposals. This paper finally highlights the need of duplicating such an experience at a broader European level.
Chih-Chung Chung and Zih-Yi Li
Nat. Hazards Earth Syst. Sci., 22, 1777–1794, https://doi.org/10.5194/nhess-22-1777-2022, https://doi.org/10.5194/nhess-22-1777-2022, 2022
Short summary
Short summary
The Neikuihui tribe in northern Taiwan faces landslides during rainfall events. Since the government needs to respond with disaster management for the most at-risk tribes, this study develops rapid risk zoning, which involves the susceptibility, activity, exposure, and vulnerability of each slope unit of the area. Results reveal that one of the slope units of the Neikuihui tribal area has a higher risk and did suffer a landslide during the typhoon in 2016.
Anna Rita Scorzini, Benjamin Dewals, Daniela Rodriguez Castro, Pierre Archambeau, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 22, 1743–1761, https://doi.org/10.5194/nhess-22-1743-2022, https://doi.org/10.5194/nhess-22-1743-2022, 2022
Short summary
Short summary
This study presents a replicable procedure for the adaptation of synthetic, multi-variable flood damage models among countries that may have different hazard and vulnerability features. The procedure is exemplified here for the case of adaptation to the Belgian context of a flood damage model, INSYDE, for the residential sector, originally developed for Italy. The study describes necessary changes in model assumptions and input parameters to properly represent the new context of implementation.
Max Schneider, Michelle McDowell, Peter Guttorp, E. Ashley Steel, and Nadine Fleischhut
Nat. Hazards Earth Syst. Sci., 22, 1499–1518, https://doi.org/10.5194/nhess-22-1499-2022, https://doi.org/10.5194/nhess-22-1499-2022, 2022
Short summary
Short summary
Aftershock forecasts are desired for risk response, but public communications often omit their uncertainty. We evaluate three uncertainty visualization designs for aftershock forecast maps. In an online experiment, participants complete map-reading and judgment tasks relevant across natural hazards. While all designs reveal which areas are likely to have many or no aftershocks, one design can also convey that areas with high uncertainty can have more aftershocks than forecasted.
Andrea Taramelli, Margherita Righini, Emiliana Valentini, Lorenzo Alfieri, Ignacio Gatti, and Simone Gabellani
EGUsphere, https://doi.org/10.5194/egusphere-2022-225, https://doi.org/10.5194/egusphere-2022-225, 2022
Short summary
Short summary
This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provides new insight into vulnerability pattern of urban flood event for residential sector demonstrating that the nature of flood pathways varies spatially influenced by landscape characteristics, beside buildings features.
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
Short summary
Short summary
The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Marthe L. K. Wens, Anne F. van Loon, Ted I. E. Veldkamp, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 22, 1201–1232, https://doi.org/10.5194/nhess-22-1201-2022, https://doi.org/10.5194/nhess-22-1201-2022, 2022
Short summary
Short summary
In this paper, we present an application of the empirically calibrated drought risk adaptation model ADOPT for the case of smallholder farmers in the Kenyan drylands. ADOPT is used to evaluate the effect of various top-down drought risk reduction interventions (extension services, early warning systems, ex ante cash transfers, and low credit rates) on individual and community drought risk (adaptation levels, food insecurity, poverty, emergency aid) under different climate change scenarios.
Caroline J. Williams, Rachel A. Davidson, Linda K. Nozick, Joseph E. Trainor, Meghan Millea, and Jamie L. Kruse
Nat. Hazards Earth Syst. Sci., 22, 1055–1072, https://doi.org/10.5194/nhess-22-1055-2022, https://doi.org/10.5194/nhess-22-1055-2022, 2022
Short summary
Short summary
A neural network model based on publicly available data was developed to forecast the number of housing units for each of 1000 counties in the southeastern United States in each of the next 20 years. The estimated number of housing units is almost always (97 % of the time) less than 1 percentage point different than the observed number, which are predictive errors acceptable for most practical purposes. The housing unit projections can help quantify changes in future expected hurricane impacts.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
Short summary
Short summary
To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Dorothea Wabbels and Gian Reto Bezzola
Nat. Hazards Earth Syst. Sci., 22, 927–930, https://doi.org/10.5194/nhess-22-927-2022, https://doi.org/10.5194/nhess-22-927-2022, 2022
Short summary
Short summary
Due to its geography and climate, densely populated Switzerland is often affected by water-related hazards such as surface runoff, floods, debris flows, landslides, rockfalls and avalanches. Almost every part of Switzerland is exposed to natural hazards, and anyone can be affected.
Enrico Tubaldi, Christopher J. White, Edoardo Patelli, Stergios Aristoteles Mitoulis, Gustavo de Almeida, Jim Brown, Michael Cranston, Martin Hardman, Eftychia Koursari, Rob Lamb, Hazel McDonald, Richard Mathews, Richard Newell, Alonso Pizarro, Marta Roca, and Daniele Zonta
Nat. Hazards Earth Syst. Sci., 22, 795–812, https://doi.org/10.5194/nhess-22-795-2022, https://doi.org/10.5194/nhess-22-795-2022, 2022
Short summary
Short summary
Bridges are critical infrastructure components of transport networks. A large number of these critical assets cross or are adjacent to waterways and are therefore exposed to the potentially devastating impact of floods. This paper discusses a series of issues and areas where improvements in research and practice are required in the context of risk assessment and management of bridges exposed to flood hazard, with the ultimate goal of guiding future efforts in improving bridge flood resilience.
Aurélia Bernard, Nathalie Long, Mélanie Becker, Jamal Khan, and Sylvie Fanchette
Nat. Hazards Earth Syst. Sci., 22, 729–751, https://doi.org/10.5194/nhess-22-729-2022, https://doi.org/10.5194/nhess-22-729-2022, 2022
Short summary
Short summary
This article reviews current scientific literature in order to define vulnerability in the context of coastal Bangladesh facing cyclonic flooding. A new metric, called the socio-spatial vulnerability index, is defined as a function of both the probability of the cyclonic flood hazard and the sensitivity of delta inhabitants. The main result shows that three very densely populated districts, located in the Ganges delta tidal floodplain, are highly vulnerable to cyclonic flooding.
Sarra Kchouk, Lieke A. Melsen, David W. Walker, and Pieter R. van Oel
Nat. Hazards Earth Syst. Sci., 22, 323–344, https://doi.org/10.5194/nhess-22-323-2022, https://doi.org/10.5194/nhess-22-323-2022, 2022
Short summary
Short summary
The aim of our study was to question the validity of the assumed direct linkage between drivers of drought and its impacts on water and food securities, mainly found in the frameworks of drought early warning systems (DEWSs). We analysed more than 5000 scientific studies leading us to the conclusion that the local context can contribute to drought drivers resulting in these drought impacts. Our research aims to increase the relevance and utility of the information provided by DEWSs.
Mattia Amadio, Arthur H. Essenfelder, Stefano Bagli, Sepehr Marzi, Paolo Mazzoli, Jaroslav Mysiak, and Stephen Roberts
Nat. Hazards Earth Syst. Sci., 22, 265–286, https://doi.org/10.5194/nhess-22-265-2022, https://doi.org/10.5194/nhess-22-265-2022, 2022
Short summary
Short summary
We estimate the risk associated with storm surge events at two case study locations along the North Adriatic Italian coast, considering sea level rise up to the year 2100, and perform a cost–benefit analysis of planned or proposed coastal renovation projects. The study uses nearshore hydrodynamic modelling. Our findings represent a useful indication for disaster risk management, helping to understand the importance of investing in adaptation and estimating the economic return on investments.
Mathias Raschke
Nat. Hazards Earth Syst. Sci., 22, 245–263, https://doi.org/10.5194/nhess-22-245-2022, https://doi.org/10.5194/nhess-22-245-2022, 2022
Short summary
Short summary
We develop the combined return period to stochastically measure hazard and catastrophe events. This is used to estimate a risk curve by stochastic scaling of historical events and averaging corresponding risk parameters in combination with a vulnerability model. We apply the method to extratropical cyclones over Germany and estimate the risk for insured losses. The results are strongly influenced by assumptions about spatial dependence.
Sanish Bhochhibhoya and Roisha Maharjan
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-354, https://doi.org/10.5194/nhess-2021-354, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
This is a comprehensive approach to risk assessment that considers the dynamic relationship between loss and damage. The study combines the physical risk with social science to mitigate the disaster caused by earthquakes in Nepal taking socio-economical parameters into account such that the risk estimates can be monitored over time. The main objective is to recognize the cause and solutions for seismic hazard building the interrelationship between individual, natural, and built-in environment.
Luis Moya, Fernando Garcia, Carlos Gonzales, Miguel Diaz, Carlos Zavala, Miguel Estrada, Fumio Yamazaki, Shunichi Koshimura, Erick Mas, and Bruno Adriano
Nat. Hazards Earth Syst. Sci., 22, 65–70, https://doi.org/10.5194/nhess-22-65-2022, https://doi.org/10.5194/nhess-22-65-2022, 2022
Short summary
Short summary
Informal occupation of unused lands for settlements is a critical issue in Peru. In most cases, such areas are unsafe against natural hazards. We performed a time-series analysis of Sentinel-1 images at recent informal settlements in Lima. The result suggests that a low-cost and sustainable monitoring system of informal settlements can be implemented.
Pauline Brémond, Anne-Laurence Agenais, Frédéric Grelot, and Claire Richert
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-398, https://doi.org/10.5194/nhess-2021-398, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. On this basis, we propose a methodological framework and apply it to the model we have developed to assess damage to agriculture. This improves the description, validation, transferability and updatability of models based on expert knowledge.
Stephen Cunningham, Steven Schuldt, Christopher Chini, and Justin Delorit
Nat. Hazards Earth Syst. Sci., 21, 3843–3862, https://doi.org/10.5194/nhess-21-3843-2021, https://doi.org/10.5194/nhess-21-3843-2021, 2021
Short summary
Short summary
The severity of disaster-induced mental health illness outcomes varies based on factors such as socioeconomic standing, age, and degree of exposure. This research proposes a resource allocation framework allowing decision-makers the capability to assess the capacity and scalability of early, intermediate, and long-term mental health treatment and recovery. Ultimately, this framework can inform policy and operational decisions based on community needs and constrained resources post-disaster.
Ante Ivčević, Hubert Mazurek, Lionel Siame, Raquel Bertoldo, Vania Statzu, Kamal Agharroud, Isabel Estrela Rego, Nibedita Mukherjee, and Olivier Bellier
Nat. Hazards Earth Syst. Sci., 21, 3749–3765, https://doi.org/10.5194/nhess-21-3749-2021, https://doi.org/10.5194/nhess-21-3749-2021, 2021
Short summary
Short summary
The results from two Mediterranean case studies, in north Morocco and west Sardinia, confirm the importance of interdisciplinarity and risk awareness sessions for risk management. The policy literature and interviews held with the administration, associations and scientists indicate that although recognised, the importance of risk awareness sessions is not necessarily put into practice. As a consequence, this could lead to a failure of risk management policy.
Stefano Terzi, Janez Sušnik, Stefan Schneiderbauer, Silvia Torresan, and Andrea Critto
Nat. Hazards Earth Syst. Sci., 21, 3519–3537, https://doi.org/10.5194/nhess-21-3519-2021, https://doi.org/10.5194/nhess-21-3519-2021, 2021
Short summary
Short summary
This study combines outputs from multiple models with statistical assessments of past and future water availability and demand for the Santa Giustina reservoir (Autonomous Province of Trento, Italy). Considering future climate change scenarios, results show high reductions for stored volume and turbined water, with increasing frequency, duration and severity. These results call for the need to adapt to reductions in water availability and effects on the Santa Giustina reservoir management.
Giuliano Di Baldassarre, Elena Mondino, Maria Rusca, Emanuele Del Giudice, Johanna Mård, Elena Ridolfi, Anna Scolobig, and Elena Raffetti
Nat. Hazards Earth Syst. Sci., 21, 3439–3447, https://doi.org/10.5194/nhess-21-3439-2021, https://doi.org/10.5194/nhess-21-3439-2021, 2021
Short summary
Short summary
COVID-19 has affected humankind in an unprecedented way, and it has changed how people perceive multiple risks. In this paper, we compare public risk perceptions in Italy and Sweden in two different phases of the pandemic. We found that people are more worried about risks related to recently experienced events. This finding is in line with the availability heuristic: individuals assess the risk associated with a given hazard based on how easily it comes to their mind.
Mia Wannewitz and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 21, 3285–3322, https://doi.org/10.5194/nhess-21-3285-2021, https://doi.org/10.5194/nhess-21-3285-2021, 2021
Short summary
Short summary
Focusing on Jakarta as a city with high flood risk and adaptation pressure, this study presents findings from a systematic literature review of adaptation options and the adaptation solution space to counter the city’s flood problem. Results indicate that the perceived solution space is skewed towards protection against flooding, while soft and hybrid adaptation options are less considered. This significantly influences flood risk management, including its effectiveness and sustainability.
Mihai Ciprian Mărgărint, Mihai Niculiță, Giulia Roder, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3251–3283, https://doi.org/10.5194/nhess-21-3251-2021, https://doi.org/10.5194/nhess-21-3251-2021, 2021
Short summary
Short summary
Local stakeholders' knowledge plays a deciding role in emergencies, supporting rescue officers in natural hazard events; coordinating; and assisting, both physically and psychologically, the affected populations. Their risk perception was assessed using a questionnaire for an area in north-eastern Romania. The results show low preparedness and reveal substantial distinctions among stakeholders and different risks based on their cognitive and behavioral roles in their communities.
Meng Zhang, Xue Qiao, Barnabas C. Seyler, Baofeng Di, Yuan Wang, and Ya Tang
Nat. Hazards Earth Syst. Sci., 21, 3243–3250, https://doi.org/10.5194/nhess-21-3243-2021, https://doi.org/10.5194/nhess-21-3243-2021, 2021
Short summary
Short summary
Earthquake early warning systems (EEWSs) can help reduce losses, but their effectiveness depends on adequate public perception and understanding of EEWSs. This study examined the performance of the EEWS in China's Sichuan Province during the 2019 Changning earthquake. We found a big gap existed between the EEWS's message, the public's perception of it, and their response. The study highlights the importance of gauging EEWS alert effectiveness and public participation for long-term resiliency.
Mohammad Shirvani and Georges Kesserwani
Nat. Hazards Earth Syst. Sci., 21, 3175–3198, https://doi.org/10.5194/nhess-21-3175-2021, https://doi.org/10.5194/nhess-21-3175-2021, 2021
Short summary
Short summary
Flooding in and around urban hubs can stress people. Immediate evacuation is a usual countermeasure taken at the onset of a flooding event. The flood–pedestrian simulator simulates evacuation of people prior to and during a flood event. It provides information on the spatio-temporal responses of individuals, evacuation time, and possible safe destinations. This study demonstrates the simulator when considering more realistic human body and age characteristics and responses to floodwater.
Wenwu Gong, Jie Jiang, and Lili Yang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-263, https://doi.org/10.5194/nhess-2021-263, 2021
Revised manuscript accepted for NHESS
Short summary
Short summary
Risk assessment is an important step in emergency management, but little research discusses the uncertainties of compound hazards evaluation and considers dynamic risk assessments when the data sets are incomplete. In this paper, we propose a risk assessment model called VFS-IEM-IDM to deal with compound hazards risk assessment dynamically, and a case study of the Typhoon-Rainstorm hazards that occurred in Shenzhen, China is presented.
Stefano Carlino
Nat. Hazards Earth Syst. Sci., 21, 3097–3112, https://doi.org/10.5194/nhess-21-3097-2021, https://doi.org/10.5194/nhess-21-3097-2021, 2021
Short summary
Short summary
This paper reports a brief history of volcanic risk in the Neapolitan district, where the presence of three active volcanoes (Vesuvius, Campi Flegrei caldera and Ischia island) exposes this highly urbanized area to hazard of potential eruptions. I am trying to obtain new food for thought for the scientific community working to mitigate the volcanic risk of this area, revisiting about 40 years of debates around volcanic risk in Naples.
David Nortes Martínez, Frédéric Grelot, Pauline Brémond, Stefano Farolfi, and Juliette Rouchier
Nat. Hazards Earth Syst. Sci., 21, 3057–3084, https://doi.org/10.5194/nhess-21-3057-2021, https://doi.org/10.5194/nhess-21-3057-2021, 2021
Short summary
Short summary
Estimating flood damage, although crucial for assessing flood risk and for designing mitigation policies, continues to face numerous challenges, notably the assessment of indirect damage. We focus on flood damage induced by the interactions between economic activities. By modeling the production processes of a cooperative wine-making system, we show that these interactions are important depending on their spatial and temporal characteristics.
Danhua Xin, James Edward Daniell, Hing-Ho Tsang, and Friedemann Wenzel
Nat. Hazards Earth Syst. Sci., 21, 3031–3056, https://doi.org/10.5194/nhess-21-3031-2021, https://doi.org/10.5194/nhess-21-3031-2021, 2021
Short summary
Short summary
A grid-level residential building stock model (in terms of floor area and replacement value) targeted for seismic risk analysis for mainland China is developed by using census and population density data. Comparisons with previous studies and yearbook records indicate the reliability of our model. The modelled results are openly accessible and can be conveniently updated when more detailed census or statistics data are available.
Elena Mondino, Anna Scolobig, Marco Borga, and Giuliano Di Baldassarre
Nat. Hazards Earth Syst. Sci., 21, 2811–2828, https://doi.org/10.5194/nhess-21-2811-2021, https://doi.org/10.5194/nhess-21-2811-2021, 2021
Short summary
Short summary
Survey data collected over time can provide new insights on how different people respond to floods and can be used in models to study the complex coevolution of human–water systems. We present two methods to collect such data, and we compare the respective results. Risk awareness decreases only for women, while preparedness takes different trajectories depending on the damage suffered. These results support a more diverse representation of society in flood risk modelling and risk management.
Paula Freire, Marta Rodrigues, André B. Fortunato, and Alberto Freitas
Nat. Hazards Earth Syst. Sci., 21, 2503–2521, https://doi.org/10.5194/nhess-21-2503-2021, https://doi.org/10.5194/nhess-21-2503-2021, 2021
Short summary
Short summary
This paper presents a risk assessment approach addressing the two main natural risks that affect agricultural estuarine lowlands: the scarcity of freshwater for irrigation and marine submersion. The approach is applied to an important agricultural area located in the Tagus Estuary (Portugal). Results show that the approach is appropriate to support risk owners in taking actions to mitigate the risk mainly when the possible impact of climate change in risk levels is considered.
Ruth Stephan, Mathilde Erfurt, Stefano Terzi, Maja Žun, Boštjan Kristan, Klaus Haslinger, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 21, 2485–2501, https://doi.org/10.5194/nhess-21-2485-2021, https://doi.org/10.5194/nhess-21-2485-2021, 2021
Short summary
Short summary
The Alpine Drought Impact report Inventory (EDIIALPS) archives drought impact reports across the European Alpine region with an increasing number of impacts over time. The most affected sectors are agriculture and livestock farming and public water supply, for which management strategies are essential for future climate regimes. We show spatial heterogeneity and seasonal differences between the impacted sectors and between impacts triggered by soil moisture drought and hydrological drought.
Luigi Cesarini, Rui Figueiredo, Beatrice Monteleone, and Mario L. V. Martina
Nat. Hazards Earth Syst. Sci., 21, 2379–2405, https://doi.org/10.5194/nhess-21-2379-2021, https://doi.org/10.5194/nhess-21-2379-2021, 2021
Short summary
Short summary
Weather index insurance is an innovative program used to manage the risk associated with natural disasters, providing instantaneous financial support to the insured party. This paper proposes a methodology that exploits the power of machine learning to identify extreme events for which a payout from the insurance could be delivered. The improvements achieved using these algorithms are an encouraging step forward in the promotion and implementation of this insurance instrument.
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-200, https://doi.org/10.5194/nhess-2021-200, 2021
Revised manuscript under review for NHESS
Short summary
Short summary
Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision-makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Chiara Arrighi, Maria Pregnolato, and Fabio Castelli
Nat. Hazards Earth Syst. Sci., 21, 1955–1969, https://doi.org/10.5194/nhess-21-1955-2021, https://doi.org/10.5194/nhess-21-1955-2021, 2021
Short summary
Short summary
Floods may affect critical infrastructure which provides essential services to people. We analyse the impact of floods on road networks and water supply systems, and we investigate how cascade effects propagate if interdependencies among networks are not considered. The analysis shows that if preparedness plans include information on accessibility to key sections of water supply plants, less people suffer from water shortage in case of flood. The method is tested in the city of Florence (Italy).
Cited articles
Agenzia delle Entrate: Banca dati delle quotazioni immobiliari (Real estate
quotation database), https://wwwt.agenziaentrate.gov.it/servizi/Consultazione/ricerca.htm,
last access: July 2018. a
Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A. H.: Flood risk
analyses – How detailed do we need to be?, Nat. Hazards, 49, 79–98,
https://doi.org/10.1007/s11069-008-9277-8, 2009. a, b, c
Arrighi, C., Brugioni, M., Castelli, F., Franceschini, S., and Mazzanti, B.:
Urban micro-scale flood risk estimation with parsimonious hydraulic modelling
and census data, Nat. Hazards Earth Syst. Sci., 13, 1375–1391, https://doi.org/10.5194/nhess-13-1375-2013, 2013. a
Ballio, F., Molinari, D., Minucci, G., Mazuran, M., Arias Munoz, C., Menoni,
S., Atun, F., Ardagna, D., Berni, N., and Pandolfo, C.: The RISPOSTA procedure
for the collection, storage and analysis of high quality, consistent and reliable
damage data in the aftermath of floods, J. Flood Risk Manage., 11, S604–S615,
https://doi.org/10.1111/jfr3.12216, 2015. a, b
Barredo, J. I.: Normalised flood losses in Europe: 1970–2006, Nat. Hazards
Earth Syst. Sci., 9, 97–104, https://doi.org/10.5194/nhess-9-97-2009, 2009. a
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. a
Breiman, L., Friedman, J., Olshen, R. A., and Stone, C. J.: CART: Classification
and Regression Trees, Wadsworth, Belmont, CA, 1984. a
Brière, C., Abadie, S., Bretel, P., and Lang, P.: Assessment of TELEMAC
system performances, a hydrodynamic case study of Anglet, France, Coast. Eng.,
54, 345–356, https://doi.org/10.1016/j.coastaleng.2006.10.006, 2007. a
Bubeck, P., de Moel, H., Bouwer, L. M., and Aerts, J. C. J.: How reliable are
projections of future flood damage?, Nat. Hazards Earth Syst. Sci., 11,
3293–3306, https://doi.org/10.5194/nhess-11-3293-2011, 2011. a
Büchele, B., Kreibich, H., Kron, A., Thieken, A., Ihringer, J., Oberle, P.,
Merz, B., and Nestmann, F.: Flood-risk mapping: Contributions towards an
enhanced assessment of extreme events and associated risks, Nat. Hazards Earth
Syst. Sci., 6, 483–503, https://doi.org/10.5194/nhess-6-485-2006, 2006. a
Carisi, F., Domeneghetti, A., Gaeta, M. G., and Castellarin, A.: Is
anthropogenic land-subsidence a possible driver of riverine flood-hazard dynamics?
A case study in Ravenna, Italy, Hydrolog. Sci. J., 62, 2440–2455, 2017. a
Castellarin, A., Di Baldassarre, G., Bates, P. D., and Brath, A.: Optimal
Cross-Sectional Spacing in Preissmann Scheme 1D Hydrodynamic Models, J. Hydraul.
Eng., 135, 96–105, https://doi.org/10.1061/(ASCE)0733-9429(2009)135:2(96), 2009. a
Chinh, D. T., Gain, A. K., Dung, N. V., Haase, D., and Kreibich, H.: Multi-variate
analyses of flood loss in Can Tho city, Mekong delta, Water, 8, 1–21, https://doi.org/10.3390/w8010006, 2016. a, b
Ciscar, J.-C., Iglesias, A., Feyen, L., Szabó, L., Van Regemorter, D.,
Amelung, B., Nicholls, R., Watkiss, P., Christensen, O. B., Dankers, R.,
Garrote, L., Goodess, C. M., Hunt, A., Moreno, A., Richards, J., and Soria, A.:
Physical and economic consequences of climate change in Europe, P. Natl. Acad.
Sci. USA, 108, 2678–2683, 2011. a
D'Alpaos, L., Brath, A., Fioravante, V., Gottardi, G., Mignosa, P., and
Orlandini, S.: Relazione tecnico-scientifica sulle cause del collasso dell'
argine del fiume Secchia avvenuto il giorno 19 gennaio 2014 presso la frazione
San Matteo, Tech. rep., Bologna, Italy, http://ambiente.regione.emilia-romagna.it/geologia/notizie/notizie-2014/fiume-secchia
(last access: July 2018), 2014. a, b, c, d
de Moel, H. and Aerts, J. C. J. H.: Effect of uncertainty in land use, damage
models and inundation depth on flood damage estimates, Nat. Hazards, 58,
407–425, https://doi.org/10.1007/s11069-010-9675-6, 2011. a
de Moel, H., Asselman, N. E. M., and Aerts, J. C. J.: Uncertainty and
sensitivity analysis of coastal flood damage estimates in the west of the
Netherlands, Nat. Hazards Earth Syst. Sci., 12, 1045–1058, https://doi.org/10.5194/nhess-12-1045-2012, 2012. a
de Moel, H., Bouwer, L. M., and Aerts, J. C. J. H.: Uncertainty and sensitivity
of flood risk calculations for a dike ring in the south of the Netherlands, Sci.
Total Environ., 473–474, 224–234, https://doi.org/10.1016/j.scitotenv.2013.12.015, 2014. a
de Moel, H., Jongman, B., Kreibich, H., Merz, B., Penning-Rowsell, E., and Ward,
P. J.: Flood risk assessments at different spatial scales, Mitig. Adapt. Strat.
Global Change, 20, 865–890, https://doi.org/10.1007/s11027-015-9654-z, 2015. a
Deng, H. and Runge, G.: Gene selection with guided regularized random forest,
Pattern Recog., 46, 3483–3489, 2013. a
Domeneghetti, A., Vorogushyn, S., Castellarin, A., Merz, B., and Brath, A.:
Probabilistic flood hazard mapping: Effects of uncertain boundary conditions,
Hydrol. Earth Syst. Sci., 17, 3127–3140, https://doi.org/10.5194/hess-17-3127-2013, 2013. a
Domeneghetti, A., Carisi, F., Castellarin, A., and Brath, A.: Evolution of
Flood Risk Over Large Areas: Quantitative Assessment for The Po River, J. Hydrol.,
527, 809–823, https://doi.org/10.1016/j.jhydrol.2015.05.043, 2015. a, b
Dottori, F., Figueiredo, R., Martina, M., Molinari, D., and Scorzini, A. R.:
INSYDE: a synthetic, probabilistic flood damage model based on explicit cost
analysis, Nat. Hazards Earth Syst. Sci., 16, 2577–2591, https://doi.org/10.5194/nhess-2016-163, 2016a. a, b
Dottori, F., Martina, M. L. V., and Figueiredo, R.: A methodology for flood
susceptibility and vulnerability analysis in complex flood scenarios, J. Flood
Risk Manage., 11, S632–S645, https://doi.org/10.1111/jfr3.12234, 2016b. a
European Environment Agency: CLC2006 technical guidelines, Tech. Rep. 17,
Copenhagen, Denmark, https://doi.org/10.2800/12134, 2007. a, b
Feyen, L., Dankers, R., Bodis, K., Salamon, P., and Barredo, J. I.: Fluvial
flood risk in Europe in present and future climates, Climate Change, 112,
47–62, https://doi.org/10.1007/s10584-011-0339-7, 2012. a
Figueiredo, R., Schröter, K., Weiss-Motz, A., Martina, M. L. V., and Kreibich,
H.: Multi-model ensembles for assessment of flood losses and associated
uncertainty, Nat. Hazards Earth Syst. Sci., 18, 1297–1314, https://doi.org/10.5194/nhess-18-1297-2018, 2018. a
Freni, G., La Loggia, G., and Notaro, V.: Uncertainty in urban flood damage
assessment due to urban drainage modelling and depth-damage curve estimation,
Water Sci. Technol., 61, 2979–2993, 2010. a
Galland, J. C., Goutal, N., and Hervouet, J. M.: Telemac: a new numerical model
for solving shallow water equations, Adv. Water Resour., 14, 38–148, 1991. a
Gerl, T., Kreibich, H., Franco, G., Marechal, D., and Schröter, K.: A
review of flood loss models as basis for harmonization and benchmarking, PLOS
ONE, 11, 1–22, https://doi.org/10.1371/journal.pone.0159791, 2016. a, b, c, d
Guha-Sapir, D. and CRED: The human cost of natural disasters 2015 – A global
perspective, Tech. rep., Centre for Research on the Epidemiology of
Disasters (CRED), Brussels, Belgium, 2015. a
Guha-Sapir, D. and CRED: 2016 preliminary data: Human impact of natural disasters,
Tech. Rep. 45, Centre for Research on the Epidemiology of Disasters (CRED),
Brussels, Belgium, 2016. a
Hasanzadeh Nafari, R., Ngo, T., and Lehman, W.: Calibration and validation of
FLFArs-A new flood loss function for Australian residential structures, Nat.
Hazards Earth Syst. Sci., 16, 15–27, https://doi.org/10.5194/nhess-16-15-2016, 2016. a, b
Hasanzadeh Nafari, R., Amadio, M., Ngo, T., and Mysiak, J.: Flood loss
modelling with FLF-IT: A new flood loss function for Italian residential
structures, Nat. Hazards Earth Syst. Sci., 17, 1047–1059, https://doi.org/10.5194/nhess-17-1047-2017, 2017. a, b
Huizinga, J.: Flood damage functions for EU member states, Technical report,
HKV Consultants, Lelystad, Implemented in the framework of the contract # 382441-F1SC
awarded by the European Commission – Joint Research Centre, 2007. a
IPCC: Climate Change 2001: Synthesis Report, Tech. rep., New York, NY, USA, 2001. a
IPCC: Climate Change 2014: Synthesis Report, Tech. rep., Geneva, Switzerland,
https://doi.org/10.1017/CBO9781107415324, 2014. a, b
Jongman, B., Kreibich, H., Apel, H., Barredo, J. I., Bates, P. D., Feyen, L.,
Gericke, A., Neal, J., Aerts, J. C. J. H., and Ward, P. J.: Comparative flood
damage model assessment: towards a European approach, Nat. Hazards Earth Syst.
Sci., 12, 3733–3752, https://doi.org/10.5194/nhess-12-3733-2012, 2012. a, b, c, d, e, f, g, h, i
Kreibich, H., Piroth, K., Seifert, I., Maiwald, H., Kunert, U., Schwarz, J.,
Merz, B., and Thieken, A. H.: Is flow velocity a significant parameter in flood
damage modelling?, Nat. Hazards Earth Syst. Sci., 9, 1679–1692, https://doi.org/10.5194/nhess-9-1679-2009, 2009. a
Kreibich, H., Seifert, I., Merz, B., and Thieken, A. H.: Development of
FLEMOcs – a new model for the estimation of flood losses in the commercial
sector, Hydrolog. Sci. J., 55, 1302–1314, https://doi.org/10.1080/02626667.2010.529815, 2010. a
Kreibich, H., Botto, A., Merz, B., and Schröter, K.:Probabilistic,
Multivariable Flood Loss Modeling on the Mesoscale with BT-FLEMO, Risk Anal.,
37, 774–787, https://doi.org/10.1111/risa.12650, 2017. a, b
Liaw, A. and Wiener, M.: Classification and Regression by randomForest,
R News, 2, 18–22, http://CRAN.R-project.org/doc/Rnews/, 2002. a
Luino, F., Chiarle, M., Nigrelli, G., Agangi, A., Bidoccu, M., Cirio, C. G.,
and Giulietto, W.: A model for estimating flood damage in Italy: preliminary
results, Environ. Econ. Invest. Assess., 98, 1–10, https://doi.org/10.2495/EEIA060071, 2006. a
Manciola, P., Biscarini, C., and Cingolani, A.: La mappatura delle aree
inondabili, in: Proceedings of “Riqualificazione, Difesa Idraulica e Recupero
Ambientale delle Sponde Fluviali”, 26–28 May 2003, Perugia, Italy, 2003. a
Merz, B., Kreibich, H., Thieken, A., and Schmidtke, R.: Estimation uncertainty
of direct monetary flood damage to buildings, Nat. Hazards Earth Syst. Sci.,
4, 153–163, https://doi.org/10.5194/nhess-4-153-2004, 2004. a, b, c
Merz, B., Aerts, J., Arnbjerg-Nielsen, K., Baldi, M., Becker, A., Bichet, A.,
Blöschl, G., Bouwer, L. M., Brauer, A., Cioffi, F., Delgado, J. M., Gocht,
M., Guzzetti, F., Harrigan, S., Hirschboeck, K., Kilsby, C., Kron, W., Kwon, H.
H., Lall, U., Merz, R., Nissen, K., Salvatti, P., Swierczynski, T., Ulbrich, U.,
Viglione, A., Ward, P. J., Weiler, M., Wilhelm, B., and Nied, M.: Floods and
climate: Emerging perspectives for flood risk assessment and management, Nat.
Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, 2014. a
Meyer, V., Becker, N., Markantonis, V., Schwarze, R., Van Den Bergh, J. C. J. M.,
Bouwer, L. M., Bubeck, P., Ciavola, P., Genovese, E., Green, C., Hallegatte, S.,
Kreibich, H., Lequeux, Q., Logar, I., Papyrakis, E., Pfurtscheller, C., Poussin,
J., Przyluski, V., Thieken, A. H., and Viavattene, C.: Review article: Assessing
the costs of natural hazards-state of the art and knowledge gaps, Nat. Hazards
Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, 2013. a, b, c, d, e
Mihailescu, D. M., Gui, V., Toma, C. I., Popescu, A., and Sporea, I.: Computer
aided diagnosis method for steatosis rating in ultrasound images using random
forests, Med. Ultrasonogr., 15, 184–190, 2013. a
Molinari, D., Aronica, G., Ballio, F., Berni, N., and Pandolfo, C.: Le curve
di danno quale strumento a supporto della direttiva alluvioni: criticità
dei dati italiani, in: XXXIII Convegno Nazionale di Idraulica e Costruzioni
Idrauliche – Brescia, 10–15 settembre 2012, Brescia, Italy, 2012. a, b, c, d, e
Molinari, D., Ballio, F., Handmer, J., and Menoni, S.: On the modeling of
significance for flood damage assessment, Int. J. Disast. Risk Reduct., 10,
381–391, https://doi.org/10.1016/j.ijdrr.2014.10.009, 2014a. a, b
Molinari, D., Menoni, S., Aronica, G. T., Ballio, F., Berni, N., Pandolfo, C.,
Stelluti, M., and Minucci, G.: Ex post damage assessment: an Italian experience,
Nat. Hazards Earth Syst. Sci., 14, 901–916, https://doi.org/10.5194/nhess-14-901-2014, 2014b. a, b
Orlandini, S., Moretti, G., and Albertson, J. D.: Evidence of an emerging levee
failure mechanism causing disastrous floods in Italy, Water Resour. Res., 51,
7995–8011, https://doi.org/10.1002/2015WR017426, 2015.
a, b, c
Penning-Rowsell, E., Johnson, C., Tunstall, S., Morris, J., Chatterton, J.,
Green, C., Koussela, K., and Fernandez-Bilbao, A.: The Benefits of Flood and
Coastal Risk Management: A Handbook of Assessment Techniques, Middlesex
University Press, London, UK, https://doi.org/10.1596/978-0-8213-8050-5, 2005. a, b, c, d, e, f
Samuels, P.: Uncertainty in flood level prediction, in: Proceedings of the
26th Biannual Congress of the IAHR, HYDRA 2000, 11–15 September 1995, London, UK, 1995. a
Schröter, K., Kreibich, H., Vogel, K., Riggelsen, C., Scherbaum, F., and
Merz, B.: How useful are complex flood damage models?, Water Resour. Res., 50,
3378–3395, https://doi.org/10.1002/2013WR014396, 2014. a, b
Schröter, K., Lüdtke, S., Vogel, K., Kreibich, H., and Merz, B.: Tracing
the value of data for flood loss modelling, in: vol. 05005, FLOODrisk 2016 – 3rd European
Conference on Flood Risk Management, 16–21 October 2016, Lyon, France, 4–8,
https://doi.org/10.1051/e3sconf/20160705005, 2016. a, b
Scorzini, A. R. and Frank, E.: Flood damage curves: New insights from the
2010 flood in Veneto, Italy, J. Flood Risk Manage., 10, 381–392, https://doi.org/10.1111/jfr3.12163, 2015. a, b, c
Solomon, T. and Liu, Z.: Earthquake induced damage classification for
reinforced concrete buildings, Struct. Saf., 32, 154–164, 2010. a
Spekkers, M. H., Kok, M., Clemens, F. H., and Ten Veldhuis, J. A.: Decision-tree
analysis of factors influencing rainfall-related building structure and content
damage, Nat. Hazards Earth Syst. Sci., 14, 2531–2547, https://doi.org/10.5194/nhess-14-2531-2014, 2014. a, b
Thieken, A. H., Olschewski, A., Kreibich, H., Kobsch, S., and Merz, B.:
Development and evaluation of FLEMOps – A new Flood Loss Estimation MOdel
for the private sector, vol. 118, Wit Press, Southampton, UK, https://doi.org/10.2495/FRIAR080301, 2008. a, b, c, d
Vacondio, R., Aureli, F., Ferrari, A., Mignosa, P., and Dal Palù, A.:
Simulation of the January 2014 flood on the Secchia River using a fast and
high-resolution 2D parallel shallow-water numerical scheme, Nat. Hazards, 80,
103–125, https://doi.org/10.1007/s11069-015-1959-4, 2016. a
van der Sande, C.: River flood damage assessment using IKONOS imagery,
Tech. rep., European Commission – Joint Research Center, Ispra (VA), Italy, 2001. a
Vorogushyn, S.: Analysis of flood hazard under-consideration of dike breaches,
PhD thesis, Unniversity of Potsdam, Potsdam, Germany, 2008. a
Wang, Z., Lai, C., Chen, X., Yang, B., Zhao, S., and Bai, X.: Flood hazard risk
assessment model based on random forest, J. Hydrol., 527, 1130–1141,
https://doi.org/10.1016/j.jhydrol.2015.06.008, 2015. a, b
White, G.: Human adjustment to floods, Department of Geography – University
of Chicago, Chicago, USA, 1945. a
Short summary
By analyzing a comprehensive loss dataset of affected private households after a recent river flood event in northern Italy, we tackle the problem of flood damage estimation in Emilia-Romagna (Italy). We develop empirical uni- and multivariable loss models for the residential sector. Outcomes highlight that the latter seem to outperform the former and, in addition, results show a higher accuracy of univariable models based on local data compared to literature ones derived for different contexts.
By analyzing a comprehensive loss dataset of affected private households after a recent river...
Altmetrics
Final-revised paper
Preprint