Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-2067-2020
© Author(s) 2020. 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-20-2067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jul 2020
Research article |
| 31 Jul 2020
| 31 Jul 2020
A generic physical vulnerability model for floods: review and concept for data-scarce regions
Mark Bawa Malgwi
CORRESPONDING AUTHOR
University of Bern, Institute of Geography, Hallerstrasse 12, 3012
Bern, Switzerland
University of Bern, Oeschger Centre for Climate Change Research,
Hochschulstrasse 6, 3012 Bern, Switzerland
Sven Fuchs
University of Natural Resources and Life Sciences, Institute of
Mountain Risk Engineering, Peter-Jordan-Str. 82, 1190 Vienna, Austria
Margreth Keiler
University of Bern, Institute of Geography, Hallerstrasse 12, 3012
Bern, Switzerland
University of Bern, Oeschger Centre for Climate Change Research,
Hochschulstrasse 6, 3012 Bern, Switzerland
University of Bern, Mobiliar Lab for Natural Risks, Hallerstrasse 12, 3012 Bern, Switzerland
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Mauro Fischer, Mario Kummert, Reto Aeschbacher, Christoph Graf, Alexis Rüeger, Philippe Schoeneich, Markus Zimmermann, and Margreth Keiler
EGUsphere, https://doi.org/10.5194/egusphere-2023-1190, https://doi.org/10.5194/egusphere-2023-1190, 2023
Preprint archived
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Due to climate change, the hazard for debris flows originating in glacier forefields or areas dominated by seasonal to perennial frost is increasing. Hazard assessment for this type of debris flows is especially difficult as records of past events are typically scarce or inexistent. We therefore developed a multi-methods approach for scenario building and runout modelling for pro- and periglacial debris flows triggered by precipitation events and applied it to a catchment in the Swiss Alps.
This article is included in the Encyclopedia of Geosciences
Stefan Oberndorfer, Philip Sander, and Sven Fuchs
Nat. Hazards Earth Syst. Sci., 20, 3135–3160, https://doi.org/10.5194/nhess-20-3135-2020, https://doi.org/10.5194/nhess-20-3135-2020, 2020
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The article provides a comparison of a standard (deterministic) risk assessment approach for roads exposed to a multi-hazard environment with a probabilistic risk analysis method to show the potential bias in the results. A probabilistic approach enables the quantification of epistemic uncertainty and uses probability distributions to characterize data uncertainty of the input variables, while a deterministic computation uses single values with discrete values without uncertainty representation.
This article is included in the Encyclopedia of Geosciences
Matthias Schlögl, Gerald Richter, Michael Avian, Thomas Thaler, Gerhard Heiss, Gernot Lenz, and Sven Fuchs
Nat. Hazards Earth Syst. Sci., 19, 201–219, https://doi.org/10.5194/nhess-19-201-2019, https://doi.org/10.5194/nhess-19-201-2019, 2019
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Landslides are destructive events, threatening the integrity of land transport systems. This paper presents how road networks are vulnerable to landslides, with emphasis on the consequences for affected road users. Results show the merits of using agent-based traffic modelling to assess the impacts of road network interruptions on rural communities by providing insights into the characteristics of the population affected and the effects on its daily routine in terms of detour costs.
This article is included in the Encyclopedia of Geosciences
Veronika Röthlisberger, Andreas P. Zischg, and Margreth Keiler
Nat. Hazards Earth Syst. Sci., 18, 2431–2453, https://doi.org/10.5194/nhess-18-2431-2018, https://doi.org/10.5194/nhess-18-2431-2018, 2018
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We investigate the role of building value estimation schemes within flood exposure analyses on regional to national scales. Our results for Switzerland suggest that models based on individual buildings produce more reliable results than models based on surface area, but only if they consider the buildings' volume. Simple models tend to underestimate the exposure, which results in suboptimal allocation of resources for protection measures in decision making processes based on cost efficiency.
This article is included in the Encyclopedia of Geosciences
Sven Fuchs, Margreth Keiler, and Thomas Glade
Nat. Hazards Earth Syst. Sci., 17, 1203–1206, https://doi.org/10.5194/nhess-17-1203-2017, https://doi.org/10.5194/nhess-17-1203-2017, 2017
Sven Fuchs, Konstantinos Karagiorgos, Kyriaki Kitikidou, Fotios Maris, Spyridon Paparrizos, and Thomas Thaler
Hydrol. Earth Syst. Sci., 21, 3183–3198, https://doi.org/10.5194/hess-21-3183-2017, https://doi.org/10.5194/hess-21-3183-2017, 2017
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Flood risk management often overlooks public perception of the hazard, and, therefore, many risk management plans have failed. This paper examines the private adaptation capacity and willingness with respect to flood hazards as one reason for this failure. Based on the results of our case studies in Greece, key issues to be addressed were identified and improvements are being recommended for the social dimension surrounding the implementation of flood risk management plans.
This article is included in the Encyclopedia of Geosciences
Jorge A. Ramirez, Umamaheshwaran Rajasekar, Dhruvesh P. Patel, Tom J. Coulthard, and Margreth Keiler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-544, https://doi.org/10.5194/hess-2016-544, 2016
Preprint retracted
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Surat, India has a population of 4.5 million and lies on the banks of the river Tapi and is located downstream from a dam that repeatedly floods the city. Floods in Surat may increase in occurrence due to urbanization and climate change. We have developed a model that floods 50 % of the city and exposes > 60 % of the population and critical infrastructure. We highlight how modeling has contributed to changes in flood risk management and resulted in actions that increase city resilience.
This article is included in the Encyclopedia of Geosciences
C. Willi, C. Graf, Y. Deubelbeiss, and M. Keiler
Geogr. Helv., 70, 265–279, https://doi.org/10.5194/gh-70-265-2015, https://doi.org/10.5194/gh-70-265-2015, 2015
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The erosion of and depositions on channel bed surfaces are instrumental to understanding debris flow processes. We present different methods and highlight their pro and cons. Terrestrial and airborne laser scanning, erosion sensors, cross sections and geomorphological mapping are compared. Two of these approaches are tested and applied in a torrent. The results indicate that the methods are associated with variable temporal and spatial resolution as well as data quality and invested effort.
This article is included in the Encyclopedia of Geosciences
S. Fuchs, M. Keiler, and A. Zischg
Nat. Hazards Earth Syst. Sci., 15, 2127–2142, https://doi.org/10.5194/nhess-15-2127-2015, https://doi.org/10.5194/nhess-15-2127-2015, 2015
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A spatially explicit object-based temporal assessment of buildings and citizens exposed to natural hazards in Austria is presented, including elements at risk of river flooding, torrential flooding, and snow avalanches. It is shown that the repeatedly stated assumption of increasing losses due to continued population growth and related increase in assets has to be opposed to the local development of building stock, which is spatially and temporally variable.
This article is included in the Encyclopedia of Geosciences
B. Mazzorana, S. Simoni, C. Scherer, B. Gems, S. Fuchs, and M. Keiler
Hydrol. Earth Syst. Sci., 18, 3817–3836, https://doi.org/10.5194/hess-18-3817-2014, https://doi.org/10.5194/hess-18-3817-2014, 2014
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Jia Xu, Makoto Takahashi, and Weifu Li
Nat. Hazards Earth Syst. Sci., 24, 179–197, https://doi.org/10.5194/nhess-24-179-2024, https://doi.org/10.5194/nhess-24-179-2024, 2024
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Through the development of micro-individual social vulnerability indicators and cluster analysis, this study assessed the level of social vulnerability of 599 residents from 11 communities in the Hongshan District of Wuhan. The findings reveal three levels of social vulnerability: high, medium, and low. Quantitative assessments offer specific comparisons between distinct units, and the results indicate that different types of communities have significant differences in social vulnerability.
This article is included in the Encyclopedia of Geosciences
Tommaso Piseddu, Mathilda Englund, and Karina Barquet
Nat. Hazards Earth Syst. Sci., 24, 145–161, https://doi.org/10.5194/nhess-24-145-2024, https://doi.org/10.5194/nhess-24-145-2024, 2024
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Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
This article is included in the Encyclopedia of Geosciences
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
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This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
This article is included in the Encyclopedia of Geosciences
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
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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.
This article is included in the Encyclopedia of Geosciences
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
This article is included in the Encyclopedia of Geosciences
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
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We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
This article is included in the Encyclopedia of Geosciences
Francesco Caleca, Chiara Scaini, William Frodella, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 13–27, https://doi.org/10.5194/nhess-24-13-2024, https://doi.org/10.5194/nhess-24-13-2024, 2024
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Landslide risk analysis is a powerful tool because it allows us to identify where physical and economic losses could occur due to a landslide event. The purpose of our work was to provide the first regional-scale analysis of landslide risk for central Asia, and it represents an advanced step in the field of risk analysis for very large areas. Our findings show, per square kilometer, a total risk of about USD 3.9 billion and a mean risk of USD 0.6 million.
This article is included in the Encyclopedia of Geosciences
Marta Sapena, Moritz Gamperl, Marlene Kühnl, Carolina Garcia-Londoño, John Singer, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 23, 3913–3930, https://doi.org/10.5194/nhess-23-3913-2023, https://doi.org/10.5194/nhess-23-3913-2023, 2023
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A new approach for the deployment of landslide early warning systems (LEWSs) is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify exposed locations. We estimate the cost of monitoring sensors and demonstrate that LEWSs could be installed with a budget ranging from EUR 5 to EUR 41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outline the challenges and opportunities for successful LEWS implementation.
This article is included in the Encyclopedia of Geosciences
Dong Qiu, Binglin Lv, Yuepeng Cui, and Zexiong Zhan
Nat. Hazards Earth Syst. Sci., 23, 3789–3803, https://doi.org/10.5194/nhess-23-3789-2023, https://doi.org/10.5194/nhess-23-3789-2023, 2023
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This paper divides preparedness behavior into minimal and adequate preparedness. In addition to studying the main factors that promote families' disaster preparedness, we also study the moderating effects of response efficacy and self-efficacy on preparedness actions by vulnerable families. Based on the findings of this study, policymakers can target interventions and programs that can be designed to remedy the current lack of disaster preparedness education for vulnerable families.
This article is included in the Encyclopedia of Geosciences
Jenni Barclay, Richie Robertson, and M. Teresa Armijos
Nat. Hazards Earth Syst. Sci., 23, 3603–3615, https://doi.org/10.5194/nhess-23-3603-2023, https://doi.org/10.5194/nhess-23-3603-2023, 2023
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Stories create avenues for sharing the meanings and social implications of scientific knowledge. We explore their value when told between scientists during a volcanic eruption. They are important vehicles for understanding how risk is generated during volcanic eruptions and create new knowledge about these interactions. Stories explore how risk is negotiated when scientific information is ambiguous or uncertain, identify cause and effect, and rationalize the emotional intensity of a crisis.
This article is included in the Encyclopedia of Geosciences
Isabelle Ousset, Guillaume Evin, Damien Raynaud, and Thierry Faug
Nat. Hazards Earth Syst. Sci., 23, 3509–3523, https://doi.org/10.5194/nhess-23-3509-2023, https://doi.org/10.5194/nhess-23-3509-2023, 2023
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This paper deals with an exceptional snow and rain event in a Mediterranean region of France which is usually not prone to heavy snowfall and its consequences on a particular building that collapsed completely. Independent analyses of the meteorological episode are carried out, and the response of the building to different snow and rain loads is confronted to identify the main critical factors that led to the collapse.
This article is included in the Encyclopedia of Geosciences
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-184, https://doi.org/10.5194/nhess-2023-184, 2023
Revised manuscript accepted for NHESS
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This communication reflects on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna flood. The most frequently reported damages involve water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems and lack of established monitoring activities appear as the most challenging aspects for future research.
This article is included in the Encyclopedia of Geosciences
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 23, 3247–3260, https://doi.org/10.5194/nhess-23-3247-2023, https://doi.org/10.5194/nhess-23-3247-2023, 2023
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This paper evaluates the flood risk and the resulting patterns in buildings following low-probability, high-impact flood scenarios by a risk analysis chain in Shanghai. The results provide a benchmark and also a clear future for buildings with respect to flood risks in Shanghai. This study links directly to disaster risk management, e.g., the Shanghai Master Plan. We also discussed different potential adaptation options for flood risk management.
This article is included in the Encyclopedia of Geosciences
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
EGUsphere, https://doi.org/10.5194/egusphere-2023-2205, https://doi.org/10.5194/egusphere-2023-2205, 2023
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In this work, we improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid and using only features which are globally available. We show that our two-stage model conserves the performance of the original, and even has the potential of introducing savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
This article is included in the Encyclopedia of Geosciences
Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, https://doi.org/10.5194/nhess-23-3169-2023, 2023
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Mangroves are increasingly recognized as a coastal protection against extreme sea levels. Their effectiveness in doing so, however, is still poorly understood, as mangroves are typically located in tropical countries where data on mangrove vegetation and topography properties are often scarce. Through a modelling study, we identified the degree of channelization and the mangrove forest floor topography as the key properties for regulating high water levels in a tropical delta.
This article is included in the Encyclopedia of Geosciences
André Felipe Rocha Silva and Julian Cardoso Eleutério
Nat. Hazards Earth Syst. Sci., 23, 3095–3110, https://doi.org/10.5194/nhess-23-3095-2023, https://doi.org/10.5194/nhess-23-3095-2023, 2023
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This work evaluates the application of flood consequence models through their application in a real case related to a tailings dam failure. Furthermore, we simulated the implementation of less efficient alert systems on life-loss alleviation. The results revealed that the models represented the event well and were able to estimate the relevance of implementing efficient alert systems. They highlight that their use may be an important tool for new regulations for dam safety legislation.
This article is included in the Encyclopedia of Geosciences
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gomez Zapata, and Yue Zhu
EGUsphere, https://doi.org/10.5194/egusphere-2023-1794, https://doi.org/10.5194/egusphere-2023-1794, 2023
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We establish a model of future geospatial population distributions to quantify the number of people living in earthquake-prone and tsunami-prone areas of Lima and Callao, Peru, for the year 2035. Areas of a high earthquake intensity will experience a population growth of almost 30 %. The population in the tsunami inundation area is estimated to grow by more than 60 %. Uncovering those relations can help urban planners and policy makers to develop effective risk mitigation strategies.
This article is included in the Encyclopedia of Geosciences
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-139, https://doi.org/10.5194/nhess-2023-139, 2023
Revised manuscript under review for NHESS
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This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios, by emulating the dynamics and behavior of the population and the decision making regarding the starting time of the evacuation.
This article is included in the Encyclopedia of Geosciences
Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
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Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
This article is included in the Encyclopedia of Geosciences
Tianyang Yu, Banghua Lu, Hui Jiang, and Zhi Liu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-84, https://doi.org/10.5194/nhess-2023-84, 2023
Revised manuscript accepted for NHESS
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A basic database for seismic risk assessment of 720 urban water supply systems in Chinese Mainland was established. The parameters of the seismic risk curves of 720 cities were calculated. The seismic fragility curves of various facilities in the water supply system were given based on the logarithmic normal distribution model.The seismic loss expectation and the loss rate expectation index of 720 urban water supply systems in Chinese Mainland in medium and long-term were given.
This article is included in the Encyclopedia of Geosciences
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
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Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
This article is included in the Encyclopedia of Geosciences
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
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This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
This article is included in the Encyclopedia of Geosciences
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-95, https://doi.org/10.5194/nhess-2023-95, 2023
Revised manuscript accepted for NHESS
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Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally-consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
This article is included in the Encyclopedia of Geosciences
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
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To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
This article is included in the Encyclopedia of Geosciences
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-94, https://doi.org/10.5194/nhess-2023-94, 2023
Revised manuscript accepted for NHESS
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Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asia country. Population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
This article is included in the Encyclopedia of Geosciences
Oya Kalaycıoğlu, Serhat Emre Akhanlı, Emin Yahya Menteşe, Mehmet Kalaycıoğlu, and Sibel Kalaycıoğlu
Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
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The associations between household characteristics and hazard-related social vulnerability in Istanbul, Türkiye, were assessed using machine learning techniques. The results indicated that less educated households with no social security and job insecurity that live in squatter houses are at a higher risk of social vulnerability. We present the findings in an open-access R Shiny web application, which can serve as a guidance for identifying the target groups in the interest of risk mitigation.
This article is included in the Encyclopedia of Geosciences
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
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This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
This article is included in the Encyclopedia of Geosciences
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
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Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
This article is included in the Encyclopedia of Geosciences
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, and Nima Talebian
Nat. Hazards Earth Syst. Sci., 23, 1529–1547, https://doi.org/10.5194/nhess-23-1529-2023, https://doi.org/10.5194/nhess-23-1529-2023, 2023
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Disaster risk reduction requires public power. The aim of this study is to investigate the factors influencing the public's intention to participate in disaster risk reduction. An empirical study was conducted using structural equation modeling data analysis methods. The findings show that public attitudes, perceptions of those around them, ability to participate, and sense of participation are important factors.
This article is included in the Encyclopedia of Geosciences
Di Wang, Ming Wang, Kai Liu, and Jun Xie
Nat. Hazards Earth Syst. Sci., 23, 1409–1423, https://doi.org/10.5194/nhess-23-1409-2023, https://doi.org/10.5194/nhess-23-1409-2023, 2023
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The short–medium-term intervention effect on the post-earthquake area was analysed by simulations in different scenarios. The sediment transport patterns varied in different sub-regions, and the relative effectiveness in different scenarios changed over time with a general downward trend, where the steady stage implicated the scenario with more facilities performing better in controlling sediment output. Therefore, the simulation methods could support optimal rehabilitation strategies.
This article is included in the Encyclopedia of Geosciences
Marcos Roberto Benso, Gabriela Chiquito Gesualdo, Roberto Fray Silva, Greicelene Jesus Silva, Luis Miguel Castillo Rápalo, Fabricio Alonso Richmond Navarro, Patricia Angélica Alves Marques, José Antônio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 23, 1335–1354, https://doi.org/10.5194/nhess-23-1335-2023, https://doi.org/10.5194/nhess-23-1335-2023, 2023
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This article is about how farmers can better protect themselves from disasters like droughts, extreme temperatures, and floods. The authors suggest that one way to do this is by offering insurance contracts that cover these different types of disasters. By having this insurance, farmers can receive financial support and recover more quickly. The article elicits different ideas about how to design this type of insurance and suggests ways to make it better.
This article is included in the Encyclopedia of Geosciences
Shivani Chouhan and Mahua Mukherjee
Nat. Hazards Earth Syst. Sci., 23, 1267–1286, https://doi.org/10.5194/nhess-23-1267-2023, https://doi.org/10.5194/nhess-23-1267-2023, 2023
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The Himalayas are prone to multi-hazards. To minimise loss, proper planning and execution are necessary. Data collection is the basis of any risk assessment process. This enhanced survey form is easy to understand and pictorial and identifies high-risk components of any building (structural and non-structural) surrounded by multi-hazards. Its results can help to utilise the budget in a prioritised way. A SWOT (strengths, weaknesses, threats and opportunities) analysis has been performed.
This article is included in the Encyclopedia of Geosciences
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 23, 1125–1138, https://doi.org/10.5194/nhess-23-1125-2023, https://doi.org/10.5194/nhess-23-1125-2023, 2023
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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 encourage the households to adopt measures without having to experience multiple flood events.
This article is included in the Encyclopedia of Geosciences
Annegret H. Thieken, Philip Bubeck, Anna Heidenreich, Jennifer von Keyserlingk, Lisa Dillenardt, and Antje Otto
Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, https://doi.org/10.5194/nhess-23-973-2023, 2023
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In July 2021 intense rainfall caused devastating floods in western Europe with 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling their warning system into question. An online survey revealed that 35 % of respondents from NW and 29 % from RP did not receive any warning. Many of those who were warned did not expect severe flooding, nor did they know how to react. The study provides entry points for improving Germany's warning system.
This article is included in the Encyclopedia of Geosciences
Blaise Mafuko Nyandwi, Matthieu Kervyn, François Muhashy Habiyaremye, François Kervyn, and Caroline Michellier
Nat. Hazards Earth Syst. Sci., 23, 933–953, https://doi.org/10.5194/nhess-23-933-2023, https://doi.org/10.5194/nhess-23-933-2023, 2023
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Risk perception involves the processes of collecting, selecting and interpreting signals about the uncertain impacts of hazards. It may contribute to improving risk communication and motivating the protective behaviour of the population living near volcanoes. Our work describes the spatial variation and factors influencing volcanic risk perception of 2204 adults of Goma exposed to Nyiragongo. It contributes to providing a case study for risk perception understanding in the Global South.
This article is included in the Encyclopedia of Geosciences
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley
Nat. Hazards Earth Syst. Sci., 23, 909–931, https://doi.org/10.5194/nhess-23-909-2023, https://doi.org/10.5194/nhess-23-909-2023, 2023
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Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
This article is included in the Encyclopedia of Geosciences
Carlos Mesta, Gemma Cremen, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 23, 711–731, https://doi.org/10.5194/nhess-23-711-2023, https://doi.org/10.5194/nhess-23-711-2023, 2023
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Flood risk is expected to increase in many regions worldwide due to rapid urbanization and climate change. The benefits of risk-mitigation measures remain inadequately quantified for potential future events in some multi-hazard-prone areas such as Kathmandu Valley (KV), Nepal, which this paper addresses. The analysis involves modeling two flood occurrence scenarios and using four residential exposure inventories representing current urban system or near-future development trajectories for KV.
This article is included in the Encyclopedia of Geosciences
Kirk B. Enu, Aude Zingraff-Hamed, Mohammad A. Rahman, Lindsay C. Stringer, and Stephan Pauleit
Nat. Hazards Earth Syst. Sci., 23, 481–505, https://doi.org/10.5194/nhess-23-481-2023, https://doi.org/10.5194/nhess-23-481-2023, 2023
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In sub-Saharan Africa, there is reported uptake of at least one nature-based solution (NBS) in 71 % of urban areas in the region for mitigating hydro-meteorological risks. These NBSs are implemented where risks exist but not where they are most severe. With these NBSs providing multiple ecosystem services and four out of every five NBSs creating livelihood opportunities, NBSs can help address major development challenges in the region, such as water and food insecurity and unemployment.
This article is included in the Encyclopedia of Geosciences
Madeleine-Sophie Déroche
Nat. Hazards Earth Syst. Sci., 23, 251–259, https://doi.org/10.5194/nhess-23-251-2023, https://doi.org/10.5194/nhess-23-251-2023, 2023
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This paper proves the need to conduct an in-depth review of the existing loss modelling framework and makes it clear that only a transdisciplinary effort will be up to the challenge of building global loss models. These two factors are essential to capture the interactions and increasing complexity of the three risk drivers (exposure, hazard, and vulnerability), thus enabling insurers to anticipate and be equipped to face the far-ranging impacts of climate change and other natural events.
This article is included in the Encyclopedia of Geosciences
May Laor and Zohar Gvirtzman
Nat. Hazards Earth Syst. Sci., 23, 139–158, https://doi.org/10.5194/nhess-23-139-2023, https://doi.org/10.5194/nhess-23-139-2023, 2023
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This study aims to provide a practical and relatively fast solution for early-stage planning of marine infrastructure that must cross a faulted zone. Instead of investing huge efforts in finding whether each specific fault meets a pre-defined criterion of activeness, we map the subsurface and determine the levels of fault hazard based on the amount of displacement and the fault's plane size. This allows for choosing the least problematic infrastructure routes at an early planning stage.
This article is included in the Encyclopedia of Geosciences
Ruth Stephan, Stefano Terzi, Mathilde Erfurt, Silvia Cocuccioni, Kerstin Stahl, and Marc Zebisch
Nat. Hazards Earth Syst. Sci., 23, 45–64, https://doi.org/10.5194/nhess-23-45-2023, https://doi.org/10.5194/nhess-23-45-2023, 2023
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This study maps agriculture's vulnerability to drought in the European pre-Alpine regions of Thurgau (CH) and Podravska (SI). We combine region-specific knowledge with quantitative data mapping; experts of the study regions, far apart, identified a few common but more region-specific factors that we integrated in two vulnerability scenarios. We highlight the benefits of the participatory approach in improving the quantitative results and closing the gap between science and practitioners.
This article is included in the Encyclopedia of Geosciences
Lorenzo Cugliari, Massimo Crescimbene, Federica La Longa, Andrea Cerase, Alessandro Amato, and Loredana Cerbara
Nat. Hazards Earth Syst. Sci., 22, 4119–4138, https://doi.org/10.5194/nhess-22-4119-2022, https://doi.org/10.5194/nhess-22-4119-2022, 2022
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The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting the study of tsunami risk perception in Italy since 2018. A total of 7342 questionnaires were collected in three survey phases (2018, 2020, 2021). In this work we present the main results of the three survey phases, with a comparison among the eight surveyed regions and between the coastal regions and some coastal metropolitan cities involved in the survey.
This article is included in the Encyclopedia of Geosciences
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
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This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
This article is included in the Encyclopedia of Geosciences
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci., 22, 3815–3829, https://doi.org/10.5194/nhess-22-3815-2022, https://doi.org/10.5194/nhess-22-3815-2022, 2022
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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.
This article is included in the Encyclopedia of Geosciences
Andrea Taramelli, Margherita Righini, Emiliana Valentini, Lorenzo Alfieri, Ignacio Gatti, and Simone Gabellani
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, https://doi.org/10.5194/nhess-22-3543-2022, https://doi.org/10.5194/nhess-22-3543-2022, 2022
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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 provide new insights into vulnerability spatialization of urban flood events for the residential sector, demonstrating that the nature of flood pathways varies spatially and is influenced by landscape characteristics, as well as building features.
This article is included in the Encyclopedia of Geosciences
Pauline Brémond, Anne-Laurence Agenais, Frédéric Grelot, and Claire Richert
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, https://doi.org/10.5194/nhess-22-3385-2022, https://doi.org/10.5194/nhess-22-3385-2022, 2022
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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. For this, 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.
This article is included in the Encyclopedia of Geosciences
Wenwu Gong, Jie Jiang, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 3271–3283, https://doi.org/10.5194/nhess-22-3271-2022, https://doi.org/10.5194/nhess-22-3271-2022, 2022
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We propose a model named variable fuzzy set and information diffusion (VFS–IEM–IDM) to assess the dynamic risk of compound hazards, which takes into account the interrelations between the hazard drivers, deals with the problem of data sparsity, and considers the temporal dynamics of the occurrences of the compound hazards. To examine the efficacy of the proposed VFS–IEM–IDM model, a case study of typhoon–rainstorm risks in Shenzhen, China, is presented.
This article is included in the Encyclopedia of Geosciences
Sanish Bhochhibhoya and Roisha Maharjan
Nat. Hazards Earth Syst. Sci., 22, 3211–3230, https://doi.org/10.5194/nhess-22-3211-2022, https://doi.org/10.5194/nhess-22-3211-2022, 2022
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This is a comprehensive approach to risk assessment that considers the dynamic relationship between loss and damage. The study combines physical risk with social science to mitigate the disaster caused by earthquakes in Nepal, taking socioeconomical parameters into account such that the risk estimates can be monitored over time. The main objective is to recognize the cause of and solutions to seismic hazard, building the interrelationship between individual, natural, and built-in environments.
This article is included in the Encyclopedia of Geosciences
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
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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.
This article is included in the Encyclopedia of Geosciences
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
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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.
This article is included in the Encyclopedia of Geosciences
Cited articles
Adelekan, I., Johnson, C., Manda, M., Matyas, D., Mberu, B., Parnell, S.,
Pelling, M., Satterthwaite, D., and Vivekananda, J.: Disaster risk and its
reduction: an agenda for urban Africa, Int. Dev. Plan. Rev., 37, 33–43,
https://doi.org/10.3828/idpr.2015.4, 2015.
Adeleye, B., Popoola, A., Sanni, L., Zitta, N., and Ayangbile, O.: Poor
development control as flood vulnerability factor in Suleja, Nigeria, T.
Reg. Plan., 74, 23–35, https://doi.org/10.18820/2415-0495/trp74i1.3, 2019.
Akukwe, T. I. and Ogbodo, C.: Spatial analysis of vulnerability to flooding
in Port Harcourt metropolis, Nigeria, SAGE Open, 5, https://doi.org/10.1177/2158244015575558, 2015.
Asadzadeh, A., Kötter, T., Salehi, P., and Birkmann, J.: Operationalizing
a concept: The systematic review of composite indicator building for
measuring community disaster resilience, Int. J. Disast. Risk Re.,
25, 147–162, https://doi.org/10.1016/j.ijdrr.2017.09.015, 2017.
Attems, M.-S., Schlögl, M., Thaler, T., Rauter, M., and Fuchs, S.: Risk
communication and adaptive behaviour in flood-prone areas of Austria: A
Q-methodology study on opinions of affected homeowners, PLoS one, 15,
e0233551, https://doi.org/10.1371/journal.pone.0233551, 2020a.
Attems, M.-S., Thaler, T., Genovese, E., and Fuchs, S.: Implementation of
property level flood risk adaptation (PLFRA) measures: choices and
decisions, WIREs Water, 7, e1404, https://doi.org/10.1002/wat2.1404, 2020b.
Aubrecht, C., Fuchs, S., and Neuhold, C.: Spatio-temporal aspects and
dimensions in integrated disaster risk management, Nat. Hazards, 68,
1205–1216, 2013.
Bagdanavičiute, I., Kelpšaite, L., and Soomere, T.: Multi-criteria
evaluation approach to coastal vulnerability index development in
micro-tidal low-lying areas, Ocean Coast. Manage., 104, 124–135, https://doi.org/10.1016/j.ocecoaman.2014.12.011, 2015.
Balica, S. F., Douben, N., and Wright, N. G.: Flood vulnerability indices at
varying spatial scales, Water Sci. Technol., 60, 2571–2580, https://doi.org/10.2166/wst.2009.183, 2009.
Balica, S. F., Wright, N. G., and van der Meulen, F.: A flood vulnerability
index for coastal cities and its use in assessing climate change impacts,
Nat. Hazards, 64, 73–105, https://doi.org/10.1007/s11069-012-0234-1, 2012.
Barnett, J., Lambert, S., and Fry, I.: The hazards of indicators: insights
from the environmental vulnerability index, Ann. Assoc. Am. Geogr., 98,
102–119, https://doi.org/10.1080/00045600701734315, 2008.
Barroca, B., Bernardara, P., Mouchel, J. M., and Hubert, G.: Indicators for identification of urban flooding vulnerability, Nat. Hazards Earth Syst. Sci., 6, 553–561, https://doi.org/10.5194/nhess-6-553-2006, 2006.
Behanzin, I. D., Thiel, M., Szarzynski, J., and Boko, M.: GIS-based mapping
of flood vulnerability and risk in the Bénin Niger River Valley, Int. J.
Geomatics Geosci., 6, 1653–1669, 2015.
Birkmann, J.: Measuring vulnerability to promote disaster-resilient
societies: Conceptual frameworks and definitions, edited by Birkmann, J.,
Measuring vulnerability to natural Hazards, United Nationas
University Press, Tokyo, 9–54, 2006.
Birkmann, J.: Risk and vulnerability indicators at different scales:.
Applicability, usefulness and policy implications, Environ. Hazards, 7,
20–31, https://doi.org/10.1016/j.envhaz.2007.04.002, 2007.
Birkmann, J., Cardona, O. D., Carreño, M. L., Barbat, A. H., Pelling,
M., Schneiderbauer, S., Kienberger, S., Keiler, M., Alexander, D., and Zeil,
P.: Framing vulnerability, risk and societal responses: the MOVE framework,
Nat. Hazards, 67, 193–211, https://doi.org/10.1007/s11069-013-0558-5, 2013.
Blanco-Vogt, A. and Schanze, J.: Assessment of the physical flood susceptibility of buildings on a large scale – conceptual and methodological frameworks, Nat. Hazards Earth Syst. Sci., 14, 2105–2117, https://doi.org/10.5194/nhess-14-2105-2014, 2014.
Blong, R.: A new damage index, Nat. Hazards, 30, 1–23, https://doi.org/10.1023/A:1025018822429, 2003a.
Blong, R.: A review of damage intensity scales, Nat. Hazards, 29, 57–76,
https://doi.org/10.1023/A:1022960414329, 2003b.
Carlier, B., Puissant, A., Dujarric, C., and Arnaud-Fassetta, G.: Upgrading of an index-oriented methodology for consequence analysis of natural hazards: application to the Upper Guil catchment (southern French Alps), Nat. Hazards Earth Syst. Sci., 18, 2221–2239, https://doi.org/10.5194/nhess-18-2221-2018, 2018.
Cervone, G., Sava, E., Huang, Q., Schnebele, E., Harrison, J., Cervone, G.,
Sava, E., Huang, Q., Schnebele, E., and Harrison, J.: Using Twitter for
tasking remote-sensing data collection and damage assessment?: 2013 Boulder
flood case study, Int. J. Remote Sens., 37, 100–124, https://doi.org/10.1080/01431161.2015.1117684, 2016.
Chen, N., Hu, C., Chen, Y., Wang, C., and Gong, J.: Using SensorML to
construct a geoprocessing e-Science workflow model under a sensor web
environment, Comput. Geosci., 47, 119–129, https://doi.org/10.1016/j.cageo.2011.11.027, 2012.
Chow, C., Andrášik, R., Fischer, B., and Keiler, M.: Application of
statistical techniques to proportional loss data: Evaluating the predictive
accuracy of physical vulnerability to hazardous hydro- meteorological
events, J. Environ. Manage., 246, 85–100,
https://doi.org/10.1016/j.jenvman.2019.05.084, 2019.
Cutter, S. L. and Finch, C.: Temporal and spatial changes in social
vulnerability to natural hazards, P. Natl. Acad. Sci. USA, 105,
2301–2306, https://doi.org/10.1073/pnas.0710375105, 2008.
Dall'Osso, F. and Dominey-Howes, D.: Coastal vulnerability to multiple
inundation sources: COVERMAR project, Literature review report, Sydney,
University of New-South Wales and Sydney Coastal Councils Group, 2013.
Dall'Osso, F., Gonella, M., Gabbianelli, G., Withycombe, G., and Dominey-Howes, D.: A revised (PTVA) model for assessing the vulnerability of buildings to tsunami damage, Nat. Hazards Earth Syst. Sci., 9, 1557–1565, https://doi.org/10.5194/nhess-9-1557-2009, 2009.
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. Gl., 20, 865–890, https://doi.org/10.1007/s1102, 2015.
de Ruiter, M. C., Ward, P. J., Daniell, J. E., and Aerts, J. C. J. H.: Review Article: A comparison of flood and earthquake vulnerability assessment indicators, Nat. Hazards Earth Syst. Sci., 17, 1231–1251, https://doi.org/10.5194/nhess-17-1231-2017, 2017.
Deressa, T. T., Hassan, R. M., Ringler, C., Alemu, T., and Yesuf, M.: Analysis of the determinants of farmers’ choice of adapta- tion methods and perceptions of climate change in the Nile Basin of Ethiopia [in Amharic] (No. 15 (9) AMH), International Food Policy Research Institute (IFPRI), Dell'Acqua,
2008.
Dominey-Howes, D. and Papathoma, M.: Validating a tsunami vulnerability
assessment model (the PTVA Model) using field data from the 2004 Indian
Ocean tsunami, Nat. Hazards, 40, 113–136, https://doi.org/10.1007/s11069-006-0007-9, 2007.
Eddy, D. M., Hollingworth, W., Caro, J. J., Tsevat, J., McDonald, K. M., and
Wong, J. B.: Model transparency and validation: a report of the ISPOR-SMDM
Modeling Good Research Practices Task Force-7, Med. Decis. Mak., 32,
733–743, https://doi.org/10.1177/0272989X12454579, 2012.
Englhardt, J., de Moel, H., Huyck, C. K., de Ruiter, M. C., Aerts, J. C. J. H., and Ward, P. J.: Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas, Nat. Hazards Earth Syst. Sci., 19, 1703–1722, https://doi.org/10.5194/nhess-19-1703-2019, 2019.
Eriksen, S. H. and Kelly, P. M.: Developing credible vulnerability
indicators for climate adaptation policy assessment, Mitig. Adapt. Strat.
Gl., 12, 495–524, https://doi.org/10.1007/s11027-006-3460-6, 2007.
Ettinger, S., Mounaud, L., Magill, C., Yao-Lafourcade, A. F., Thouret, J.
C., Manville, V., Negulescu, C., Zuccaro, G., De Gregorio, D., Nardone, S.,
Uchuchoque, J. A. L., Arguedas, A., Macedo, L., and Manrique Llerena, N.:
Building vulnerability to hydro-geomorphic hazards: Estimating damage
probability from qualitative vulnerability assessment using logistic
regression, J. Hydrol., 541, 563–581, https://doi.org/10.1016/j.jhydrol.2015.04.017,
2016.
Fernandez, P., Mourato, S., Moreira, M., and Pereira, L.: A new approach for
computing a flood vulnerability index using cluster analysis, Phys. Chem.
Earth, 94, 47–55, https://doi.org/10.1016/j.pce.2016.04.003, 2016.
FGN (Federal Government of Nigeria): Nigeria: Post-disaster needs assessment
– 2012 floods, available at:
https://www.gfdrr.org/sites/gfdrr/files/NIGERIA_PDNA_PRINT_05_29_2013_WEB.pdf (last access: 1 January 2019), 2013.
Frazier, T. G., Thompson, C. M., and Dezzani, R. J.: A framework for the
development of the SERV model: A Spatially Explicit Resilience-Vulnerability
model, Appl. Geogr., 51, 158–172, https://doi.org/10.1016/j.apgeog.2014.04.004, 2014.
Fuchs, S.: Susceptibility versus resilience to mountain hazards in Austria – paradigms of vulnerability revisited, Nat. Hazards Earth Syst. Sci., 9, 337–352, https://doi.org/10.5194/nhess-9-337-2009, 2009.
Fuchs, S., Keiler, M., Sokratov, S., and Shnyparkov, A.: Spatiotemporal
dynamics: the need for an innovative approach in mountain hazard risk
management, Nat. Hazards, 68, 1217–1241, https://doi.org/10.1007/s11069-012-0508-7,
2013.
Fuchs, S., Keiler, M., Ortlepp, R., Schinke, R., and Papathoma-Köhle, M.:
Recent advances in vulnerability assessment for the built environment
exposed to torrential hazards: challenges and the way forward, J. Hydrol.,
575, 587–595, https://doi.org/10.1016/j.jhydrol.2019.05.067, 2019a.
Fuchs, S., Heiser, M., Schlögl, M., Zischg, A., Papathoma-Köhle, M.,
and Keiler, M.: Short communication: A model to predict flood loss in
mountain areas, Environ. Modell. Softw., 117, 176–180, https://doi.org/10.1016/j.envsoft.2019.03.026, 2019b.
Gasparini, P.: Analysis and monitoring of environmental risk: CLUVA Final
Report, available at:
http://cordis.europa.eu/docs/results/265137/final1-cluva-final-publishable-summary-report.pdf
(last access: 1 April 2020), 2013.
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.
Godfrey, A., Ciurean, R. L., van Westen, C. J., Kingma, N. C., and Glade, T.:
Assessing vulnerability of buildings to hydro-meteorological hazards using
an expert based approach – An application in Nehoiu Valley, Romania, Int.
J. Disaster Risk Re., 13, 229–241, https://doi.org/10.1016/j.ijdrr.2015.06.001,
2015.
Golz, S.: Resilience in the built environment: How to evaluate the impacts
of flood resilient building technologies?, E3S Web Conf., 7, 13001, https://doi.org/10.1051/e3sconf/20160713001, 2016.
Grünthal, G.: European Macroseismic Scale 1992 (up-dated MSK-scale),
edited by Grünthal G, Cahiers du Centre Europèen de Gèodynamique
et de Seismologie, Conseil de l'Europe, Conseil de l'Europe, 1993.
Grünthal, G.: European Macroseismic Scale 1998, edited by Grünthal
G, Cahiers du Centre Europèen de Gèodynamique et de Seismologie,
Conseil de l'Europe, Conseil del'Europe, 1998.
Günther, D.: Indicator sets for assessments, available at:
http://www.ivm.vu.nl/en/Images/AT10_tcm234-161582.pdf
(last access: 1 January 2019), 2006.
Haki, Z., Akyuerek, Z., and Duezguen, S.: Assessment of social vulnerability using Geographic Information
Systems: Pendik, Istanbul case study, in: 7th AGILE conference on geographic information science,
Heraklion, 2004.
Hammond, M. J. and Chen, A. S.: Urban flood impact assessment: A
state-of-the-art review, Urban Water J., 12, 14–29, https://doi.org/10.1080/1573062X.2013.857421, 2015.
Heink, U. and Kowarik, I.: What are indicators? On the definition of
indicators in ecology and environmental planning, Ecol. Indic., 10,
584–593, https://doi.org/10.1016/j.ecolind.2009.09.009, 2010.
Hinkel, J.: “Indicators of vulnerability and adaptive capacity”: towards a
clarification of the science-policy interface, Global Environ. Chang., 21,
198–208, https://doi.org/10.1016/j.gloenvcha.2010.08.002, 2011.
Holub, M. and Fuchs, S.: Benefits of local structural protection to mitigate
torrent-related hazards, WIT Trans. Inf. Commun. Technol., 39, 401–411,
https://doi.org/10.2495/RISK080391, 2008.
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.
JRC and OECD (Joint Research Centre and Organisation for Economic
Co-operation and Development): Handbook on constructing composite
indicators: Methodology and user guide, Paris, OECD, 2008.
Kappes, M. S., Papathoma-Köhle, M., and Keiler, M.: Assessing physical
vulnerability for multi-hazards using an indicator-based methodology, Appl.
Geogr., 32, 577–590, https://doi.org/10.1016/j.apgeog.2011.07.002, 2012.
Keiler, M., Sailer, R., Jörg, P., Weber, C., Fuchs, S., Zischg, A., and Sauermoser, S.: Avalanche risk assessment – a multi-temporal approach, results from Galtür, Austria, Nat. Hazards Earth Syst. Sci., 6, 637–651, https://doi.org/10.5194/nhess-6-637-2006, 2006.
Kienberger, S., Lang, S., and Zeil, P.: Spatial vulnerability units – expert-based spatial modelling of socio-economic vulnerability in the Salzach catchment, Austria, Nat. Hazards Earth Syst. Sci., 9, 767–778, https://doi.org/10.5194/nhess-9-767-2009, 2009.
Klein, J. A., Tucker, C. M., Nolin, A. W., Hopping, K. A., Reid, R. S.,
Steger, C., Grêt-Regamey, A., Lavorel, S., Müller, B., Yeh, E. T.,
Boone, R. B., Bourgeron, P., Butsic, V., Castellanos, E., Chen, X., Dong, S.
K., Greenwood, G., Keiler, M., Marchant, R., Seidl, R., Spies, T., Thorn,
J., Yager, K., and the Mountain Sentinels Network: Catalyzing transformations
to sustainability in the world's mountains, Earth's Futur., 7, 547–557,
https://doi.org/10.1029/2018ef001024, 2019.
Komolafe, A. A., Adegboyega, S. A. A., and Akinluyi, F. O.: A review of flood
risk analysis in Nigeria, Am. J. Environ. Sci., 11, 157–166, https://doi.org/10.3844/ajessp.2015.157.166, 2015.
Krellenberg, K. and Welz, J.: Assessing urban vulnerability in the context
of flood and heat hazard: Pathways and challenges for indicator-based
analysis, Soc. Indic. Res., 132, 709–731, https://doi.org/10.1007/s11205-016-1324-3, 2017.
Kundzewicz, Z. W., Su, B., Wang, Y., Wang, G., Wang, G., Huang, J., and Jiang, T.: Flood risk in a range of spatial perspectives – from global to local scales, Nat. Hazards Earth Syst. Sci., 19, 1319–1328, https://doi.org/10.5194/nhess-19-1319-2019, 2019.
Maiwald, H. and Schwarz, J.: Damage and loss prognosis tools correlating
flood action and building's resistance-type parameters, Int. J. Saf. Secur.
Eng., 5, 222–250, https://doi.org/10.2495/SAFE-V5-N3-222-250, 2015.
Maiwald, H. and Schwarz, J.: Vereinheitlichte Schadensbeschreibung und
Risikobewertung von Bauwerken unter extremen Naturgefahren, Mauerwerk,
23, 95–111, https://doi.org/10.1002/dama.201910014, 2019.
Malgwi, M. B., Ramirez, J. A., Zischg, A., Zimmermann, M., Schürmann, S., and Keiler, M.: Flood reconstruction using field interview data and hydrodynamic modelling: A method for data scarce regions, Int. J. Disaster Risk Sci., submitted, 2020.
Mazzorana, B., Levaggi, L., Keiler, M., and Fuchs, S.: Towards dynamics in flood risk assessment, Nat. Hazards Earth Syst. Sci., 12, 3571–3587, https://doi.org/10.5194/nhess-12-3571-2012, 2012.
Mazzorana, B., Simoni, S., Scherer, C., Gems, B., Fuchs, S., and Keiler, M.: A physical approach on flood risk vulnerability of buildings, Hydrol. Earth Syst. Sci., 18, 3817–3836, https://doi.org/10.5194/hess-18-3817-2014, 2014.
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.
Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article “Assessment of economic flood damage”, Nat. Hazards Earth Syst. Sci., 10, 1697–1724, https://doi.org/10.5194/nhess-10-1697-2010, 2010.
Merz, B., Kreibich, H., and Lall, U.: Multi-variate flood damage assessment: a tree-based data-mining approach, Nat. Hazards Earth Syst. Sci., 13, 53–64, https://doi.org/10.5194/nhess-13-53-2013, 2013.
Meyer, V., Kuhlicke, C., Luther, J., Fuchs, S., Priest, S., Dorner, W., Serrhini, K., Pardoe, J., McCarthy, S., Seidel, J., Palka, G., Unnerstall, H., Viavattene, C., and Scheuer, S.: Recommendations for the user-specific enhancement of flood maps, Nat. Hazards Earth Syst. Sci., 12, 1701–1716, https://doi.org/10.5194/nhess-12-1701-2012, 2012.
Milanesi, L., Pilotti, M., Belleri, A., Marini, A., and Fuchs, S.:
Vulnerability to flash floods: a simplified structural model for masonry
buildings, Water Resour. Res., 54, 7177–7197, https://doi.org/10.1029/2018WR022577, 2018.
Mirza, M. M. Q.: Climate change and extreme weather events: can developing
countries adapt?, Clim. Policy, 3, 233–248, https://doi.org/10.1016/S1469-3062(03)00052-4, 2003.
Mosimann, M., Frossard, L., Keiler, M., Weingartner, R., and Zischg, A.: A
robust and transferable model for the prediction of flood losses on
household contents, Water, 10, 1596, https://doi.org/10.3390/w10111596, 2018.
Müller, A., Reiter, J., and Weiland, U.: Assessment of urban vulnerability towards floods using an indicator-based approach – a case study for Santiago de Chile, Nat. Hazards Earth Syst. Sci., 11, 2107–2123, https://doi.org/10.5194/nhess-11-2107-2011, 2011.
Naumann, T., Nikolowski, J., and Sebastian, G.: Synthetic depth-damage
functions – A detailed tool for analysing flood resilience of building
types, edited by: Pasche, E., Evelpidou, N., Zevenbergen, C., Ashley, R., and
Garvin, S., Road map towards a flood resilient urban environment,
Institut für Wasserbau der TU Hamburg-Harburg, Hamburg, 2009.
Neubert, M., Naumann, T., and Deilmann, C.: Synthetic water level building
damage relationships for GIS-supported flood vulnerability modeling of
residential properties, edited by Samuels, P., Huntington, S., Allsop, W.,
and Harrop, J., Flood risk management. Research and practice, London, Taylor
& Francis, 1717–1724, https://doi.org/10.1201/9780203883020.ch203, 2008.
Niang, I., Ruppel, O. C., Abdrabo, M. A., Essel, A., Lennard, C., Padgham, J., and Urquhart, P.: Africa, in Climate Change 2014: Impacts, Adaptation and Vulnerability: Part B: Regional Aspects: Working Group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Barros, V. R., Field, C. B., Dokken, D. J., Mastrandrea, M. D., and Mach, K. J., Cambridge University Press, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1199–1266, 2015.
NRE (Department of Natural Resources and Environment): Rapid appraisal
method (RAM) for floodplain management, Department of Natural
Resources and Environment, Victoria, 2000.
Ntajal, J., Lamptey, B. L., and MianikpoSogbedji, J.: Flood vulnerability
mapping in the lower mono river basin in Togo, West Africa, Int. J. Sci.
Eng. Res., 7, 1553–1562, 2016.
Papathoma-Köhle, M., Kappes, M., Keiler, M., and Glade, T.: Physical
vulnerability assessment for alpine hazards: State of the art and future
needs, Nat. Hazards, 58, 645–680, https://doi.org/10.1007/s11069-010-9632-4, 2011.
Papathoma-Köhle, M., Gems, B., Sturm, M., and Fuchs, S.: Matrices, curves
and indicators: A review of approaches to assess physical vulnerability to
debris flows, Earth-Sci. Rev., 171, 272–288, https://doi.org/10.1016/j.earscirev.2017.06.007, 2017.
Papathoma-Köhle, M., Cristofari, G., Wenk, M., and Fuchs, S.: The
importance of indicator weights for vulnerability indices and implications
for decision making in disaster management, Int. J. Disaster Risk Re.,
36, 101103, https://doi.org/10.1016/j.ijdrr.2019.101103, 2019.
Papathoma, M., Dominey-Howes, D., Zong, Y., and Smith, D.: Assessing tsunami vulnerability, an example from Herakleio, Crete, Nat. Hazards Earth Syst. Sci., 3, 377–389, https://doi.org/10.5194/nhess-3-377-2003, 2003.
Penning-Rowsell, E., Johnson, C., Tunstall, S., Tapsell, S., Morris, J.,
Chatterton, J., and Green, C.: The benefits of flood and coastal risk
management: a manual of assessment techniques, Middlesex
University Press, Middlesex, 2005.
Percival, S., Gaterell, M., and Teeuw, R.: Urban neighbourhood flood
vulnerability and risk assessments at different diurnal levels, J. Flood
Risk Manage., 12, 1–14, https://doi.org/10.1111/jfr3.12466, 2018.
Pistrika, A., Tsakiris, G., and Nalbantis, I.: Flood depth-damage functions
for built environment, Environ. Process., 1, 553–572, https://doi.org/10.1007/s40710-014-0038-2, 2014.
Quevauviller, P.: Science and Policy Interfacing. In Hydrometeorological Hazards, edited by: Quevauviller, P., https://doi.org/10.1002/9781118629567.ch1d, 2014.
Romali, N. S., Sulaiman, M. A. K., Yusop, Z., and Ismail, Z.: Flood damage
assessment: A review of flood stage–damage function curve, edited by: Abu
Bakar, S., Tahir, W., Wahid, M., Mohd Nasir, S., and Hassan, R., ISFRAM 2014,
Singapore, Springer, 147–159, 2015.
Saaty, T. L.: The Analytical Hierarchy Process, McGraw-Hill, New York, 1980.
Sadeghi-Pouya, A., Nouri, J., Mansouri, N., and Kia-Lashaki, A.: An indexing
approach to assess flood vulnerability in the western coastal cities of
Mazandaran, Iran, Int. J. Disaster Risk Re., 22, 304–316, https://doi.org/10.1016/j.ijdrr.2017.02.013, 2017.
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.
Schwarz, J. and Maiwald, H.: Prognose der Bauwerksschädigung unter
Hochwassereinwirkung, Bautechnik, 84, 450–464, https://doi.org/10.1002/bate.200710039, 2007.
Schwarz, J. and Maiwald, H.: Damage and loss prediction model based on the
vulnerability of building types, 4th International Symposium on Flood
Defence: Managing Flood Risk, Reliability and Vulnerability, Toronto,
Ontario, Canada, 6–8 May 2008, 74-1–74-9, https://doi.org/10.13140/2.1.1358.3043,
2008.
Spekkers, M. H., Kok, M., Clemens, F. H. L. R., and ten Veldhuis, J. A. E.: 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.
Sturm, M., Gems, B., Keller, F., Mazzorana, B., Fuchs, S.,
Papathoma-Köhle, M., and Aufleger, M.: Experimental analyses of impact
forces on buildings exposed to fluvial hazards, J. Hydrol., 565, 1–13, https://doi.org/10.1016/j.jhydrol.2018.07.070, 2018a.
Sturm, M., Gems, B., Keller, F., Mazzorana, B., Fuchs, S.,
Papathoma-Köhle, M., and Aufleger, M.: Understanding impact dynamics on
buildings caused by fluviatile sediment transport, Geomorphology, 321,
45–59, https://doi.org/10.1016/j.geomorph.2018.08.016, 2018b.
Sy, B., Frischknecht, C., Dao, H., Consuegra, D., and Giuliani, G.: Reconstituting past flood events: the contribution of citizen science, Hydrol. Earth Syst. Sci., 24, 61–74, https://doi.org/10.5194/hess-24-61-2020, 2020.
Tarbotton, C., Dominey-Howes, D., Goff, J. R., Papathoma-Köhle, M.,
Dall'Osso, F., and Turner, I. L.: GIS-based techniques for assessing the
vulnerability of buildings to tsunami: current approaches and future steps,
Geol. Soc. London, Spec. Publ., 361, 115–125, https://doi.org/10.1144/SP361.10,
2012.
Tate, E.: Social vulnerability indices: A comparative assessment using
uncertainty and sensitivity analysis, Nat. Hazards, 63, 325–347, https://doi.org/10.1007/s11069-012-0152-2, 2012.
Thieken, A. H., Müller, M., Kreibich, H., and Merz, B.: Flood damage and
influencing factors: New insights from the August 2002 flood in Germany,
Water Resour. Res., 41, 1–16, https://doi.org/10.1029/2005WR004177, 2005.
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, WIT Trans. Ecol. Envir., 118, 315–324, https://doi.org/10.2495/FRIAR080301, 2008.
Thouret, J. C., Ettinger, S., Guitton, M., Santoni, O., Magill, C.,
Martelli, K., Zuccaro, G., Revilla, V., Charca, J. A., and Arguedas, A.:
Assessing physical vulnerability in large cities exposed to flash floods and
debris flows: the case of Arequipa (Peru), Nat. Hazards, 73, 1771–1815,
https://doi.org/10.1007/s11069-014-1172-x, 2014.
Totschnig, R. and Fuchs, S.: Mountain torrents: quantifying vulnerability
and assessing uncertainties, Eng. Geol., 155, 31–44, https://doi.org/10.1016/j.enggeo.2012.12.019, 2013.
Totschnig, R., Sedlacek, W., and Fuchs, S.: A quantitative vulnerability
function for fluvial sediment transport, Nat. Hazards, 58, 681–703, https://doi.org/10.1007/s11069-010-9623-5, 2011.
UNDP (United Nations Development Programme): Human Development Report, reviewed by: Todaro, M. P, in: Population and Development Review, Popul. Counc., 18, 359–363, https://doi.org/10.2307/1973685, 1992.
UNDRR (United Nations Office for Disaster Risk Reduction): Global Assessment Report on Disaster Risk Reduction 2019, Geneva, Switzerland, available at: https://gar.undrr.org/ (last access: 29 March 2020), 2019.
UNISDR (United Nations International Strategy for Disaster Reduction): Terminology on disaster risk reduction, United Nations International Strategy for Disaster Reduction Geneva, Geneva, Switzerland, available at: https://www.undrr.org/publication/2009-unisdr-terminology-disaster-risk-reduction (last access: 15 March 2020), 2009.
UNISDR (United Nations International Strategy for Disaster Reduction): Sendai framework for disaster risk reduction 2015–2030, available at: https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030 (last access: 26 February 2020), 2015.
Vogel, K., Riggelsen, C., Merz, B., Kreibich, H., and Scherbaum, F.: Flood
damage and influencing factors: a Bayesian network perspective, in:
Proceedings of the 6th European workshop on Probabilistic Graphical Models
(PGM 2012), Granada, Spain, edited by: Cano, A., Gómez-Olmedo, M. G.,
and Nielsen, T. D., 19–21 September 2012, 314–354, 2012.
Wagenaar, D., de Jong, J., and Bouwer, L. M.: Multi-variable flood damage modelling with limited data using supervised learning approaches, Nat. Hazards Earth Syst. Sci., 17, 1683–1696, https://doi.org/10.5194/nhess-17-1683-2017, 2017.
Walliman, N., Ogden, R., Baiche, B., Tagg, A., and Escarameia, M.:
Development of a tool to estimate individual building vulnerability to
floods, WIT Trans. Ecol. Envir., 155, 1005–1016, https://doi.org/10.2495/SC120842,
2011.
WHO (World Health Orgaonization): WHO Guidelines for indoor air quality: dampness and mould, Copenhagen, Denmark, available at: https://www.who.int/airpollution/guidelines/dampness-mould/en/ (last access: 26 February 2020), 2009.
Yankson, P. W. K., Owusu, A. B., Owusu, G., Boakye-Danquah, J., and Tetteh,
J. D.: Assessment of coastal communities' vulnerability to floods using
indicator-based approach: a case study of Greater Accra Metropolitan Area,
Ghana, Nat. Hazards, 89, 661–689, https://doi.org/10.1007/s11069-017-3006-0, 2017.
Zimmermann, M. and Keiler, M.: International frameworks for disaster risk
reduction: Useful guidance for sustainable mountain development?, Mt. Res.
Dev., 35, 195–202, https://doi.org/10.1659/MRD-JOURNAL-D-15-00006.1, 2015.
Short summary
Mitigation planning and economic loss assessment generally rely on flood damage prediction models. However, unavailability of empirical data has limited the use of such models in data-scarce areas. This paper combines the vulnerability indicator and damage grade approach to develop a conceptual framework for predicting building damage in data-scarce regions. The framework can be implemented using only expert knowledge and facilitates transferability of flood damage models in data-scarce areas.
Mitigation planning and economic loss assessment generally rely on flood damage prediction...
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