Articles | Volume 16, issue 6
https://doi.org/10.5194/nhess-16-1323-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-16-1323-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people
Stefano Balbi
CORRESPONDING AUTHOR
BC3, Basque Centre for Climate Change, 48940 Leioa, Spain
Ferdinando Villa
BC3, Basque Centre for Climate Change, 48940 Leioa, Spain
IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
Vahid Mojtahed
Ca' Foscari University of Venice, Department of Economics and Venice Centre for Climate Studies, 30123 Venice, Italy
Fera Science Ltd., York YO41 1LZ, UK
Karin Tessa Hegetschweiler
Swiss Federal Institute for Forest, Snow and Landscape Research – WSL, 8903 Birmensdorf, Switzerland
Carlo Giupponi
Ca' Foscari University of Venice, Department of Economics and Venice Centre for Climate Studies, 30123 Venice, Italy
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Where to start with climate-smart forest management? Climatic risk for forest-based mitigation
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Urban growth and spatial segregation increase disaster risk: lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
An impact-chain-based exploration of multi-hazard vulnerability dynamics: the multi-hazard of floods and the COVID-19 pandemic in Romania
Always on my mind: indications of post-traumatic stress disorder among those affected by the 2021 flood event in the Ahr valley, Germany
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Zhuyu Yang, Bruno Barroca, Ahmed Mebarki, Katia Laffréchine, Hélène Dolidon, and Lionel Lilas
Nat. Hazards Earth Syst. Sci., 24, 3723–3753, https://doi.org/10.5194/nhess-24-3723-2024, https://doi.org/10.5194/nhess-24-3723-2024, 2024
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Nat. Hazards Earth Syst. Sci., 24, 3579–3595, https://doi.org/10.5194/nhess-24-3579-2024, https://doi.org/10.5194/nhess-24-3579-2024, 2024
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Nat. Hazards Earth Syst. Sci., 24, 3497–3517, https://doi.org/10.5194/nhess-24-3497-2024, https://doi.org/10.5194/nhess-24-3497-2024, 2024
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Nat. Hazards Earth Syst. Sci., 24, 2895–2922, https://doi.org/10.5194/nhess-24-2895-2024, https://doi.org/10.5194/nhess-24-2895-2024, 2024
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This study delves into the dynamics of vulnerability within a multi-hazard context, proposing an enhanced impact-chain-based framework that analyses the augmentation of vulnerability. The case study refers to the flood events and the COVID-19 pandemic that affected Romania (2020–2021). The impact chain shows that (1) the unforeseen implications of impacts, (2) the wrongful action of adaptation options, and (3) inaction can form the basis for increased vulnerability.
Marie-Luise Zenker, Philip Bubeck, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024, https://doi.org/10.5194/nhess-24-2837-2024, 2024
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Despite the visible flood damage, mental health is a growing concern. Yet, there is limited data in Germany on mental health impacts after floods. A survey in a heavily affected region revealed that 28 % of respondents showed signs of post-traumatic stress disorder 1 year later. Risk factors include gender, serious injury or illness due to flooding, and feeling left alone to cope with impacts. The study highlights the need for tailored mental health support for flood-affected populations.
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024, https://doi.org/10.5194/nhess-24-2707-2024, 2024
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Iranian insurers have been offering earthquake coverage since the 1990s. However, despite international best practices, they still do not use modern methods for risk pricing and management. As such, they seem to be accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practices with international best practices in earthquake risk pricing (catastrophe modeling) and insurance risk management (European Solvency II regime).
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 24, 2425–2440, https://doi.org/10.5194/nhess-24-2425-2024, https://doi.org/10.5194/nhess-24-2425-2024, 2024
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Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho Chi Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024, https://doi.org/10.5194/nhess-24-2375-2024, 2024
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About 820 km2 of agricultural land was inundated in central Greece due to Storm Daniel. A detailed analysis revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~ 30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimate that more than 14 000 ornithoids and 21 500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.
Luciano Pavesi, Elena Volpi, and Aldo Fiori
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-114, https://doi.org/10.5194/nhess-2024-114, 2024
Revised manuscript accepted for NHESS
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Several sources of uncertainty affect flood risk estimation for reliable assessment for investors, insurance and risk management. Here, we consider the uncertainty of large-scale flood hazard modeling, providing a range of risk values that show significant variability depending on geomorphic factors and land use types. This allows to identify the critical points where single value estimates may underestimate the risk, and the areas of vulnerability to prioritize risk reduction efforts.
Tzu-Hsin Karen Chen, Kuan-Hui Elaine Lin, Thung-Hong Lin, Gee-Yu Liu, Chin-Hsun Yeh, and Diana Maria Ceballos
EGUsphere, https://doi.org/10.5194/egusphere-2024-1493, https://doi.org/10.5194/egusphere-2024-1493, 2024
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This study reveals migration patterns as a critical factor in seismic fatalities. Analyzing the Chi-Chi earthquake in Taiwan, we find that lower income and a higher indigenous population at migrants' origins are correlated with higher fatalities at their destinations. This underscores the need for affordable and safe housing in the outskirts of megacities, where migrants from lower-income and historically marginalized groups are more likely to reside due to precarious employment conditions.
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024, https://doi.org/10.5194/nhess-24-2243-2024, 2024
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In many urban areas, people face high exposure to hazards. Resettling them to safer locations becomes a major strategy, not least because of climate change. This paper dives into the success factors of government-led resettlement in Manila and finds surprising results which challenge the usual narrative and fuel the conversation on resettlement as an adaptation strategy. Contrary to expectations, the location – whether urban or rural – of the new home is less important than safety from floods.
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024, https://doi.org/10.5194/nhess-24-2165-2024, 2024
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With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of surveys to help further research.
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024, https://doi.org/10.5194/nhess-24-2133-2024, 2024
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For the basis of seismic risk assessment, maps of seismic intensity increment and an improved map of seismic hazard have been developed, taking into account the engineering-geological conditions of the territory of Uzbekistan and the seismic characteristics of soils. For seismic risk map development, databases were created based on geographic information system platforms, allowing us to systematize and evaluate the regional distribution of information.
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024, https://doi.org/10.5194/nhess-24-2045-2024, 2024
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Transboundary flood risk management in the Ciliwung River basin is placed in a broader context of disaster management, environmental science, and governance. This is particularly relevant for areas of research involving the management of shared water resources, the impact of regional development on flood risk, and strategies to reduce economic losses from flooding.
Lichen Yu, Hao Qin, Shining Huang, Wei Wei, Haoyu Jiang, and Lin Mu
Nat. Hazards Earth Syst. Sci., 24, 2003–2024, https://doi.org/10.5194/nhess-24-2003-2024, https://doi.org/10.5194/nhess-24-2003-2024, 2024
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This paper proposes a quantitative storm surge risk assessment method for data-deficient regions. A coupled model is used to simulate five storm surge scenarios. Deep learning is used to extract building footprints. Economic losses are calculated by combining adjusted depth–damage functions with inundation simulation results. Zoning maps illustrate risk levels based on economic losses, aiding in disaster prevention measures to reduce losses in coastal areas.
Harikesan Baskaran, Ioanna Ioannou, Tiziana Rossetto, Jonas Cels, Mathis Joffrain, Nicolas Mortegoutte, Aurelie Fallon Saint-Lo, and Catalina Spataru
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-82, https://doi.org/10.5194/nhess-2024-82, 2024
Revised manuscript accepted for NHESS
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There is a global need for insuring green economy assets against natural hazard events. But their complexity and low exposure history, means the data required for vulnerability evaluation by the insurance industry is scarce. A systematic literature review is conducted in this study, to determine the suitability of current, published literature for this purpose. Knowledge gaps are charted, and a representative asset-hazard taxonomy is proposed, to guide future, quantitative research.
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896, https://doi.org/10.5194/nhess-24-1871-2024, https://doi.org/10.5194/nhess-24-1871-2024, 2024
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Drought has long posed an existential threat to society. Population growth, economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008–2015 record drought in the Colorado Basin, Texas, United States, is used as a case study to assess impacts and responses to severe drought.
Alex Dunant, Tom R. Robinson, Alexander Logan Densmore, Nick J. Rosser, Ragindra Man Rajbhandari, Mark Kincey, Sihan Li, Prem Raj Awasthi, Max Van Wyk de Vries, Ramesh Guragain, Erin Harvey, and Simon Dadson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1374, https://doi.org/10.5194/egusphere-2024-1374, 2024
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Our study introduces a new method using hypergraph theory to assess risks from interconnected natural hazards. Traditional models often overlook how these hazards can interact and worsen each other's effects. By applying our method to the 2015 Nepal earthquake, we successfully demonstrated its ability to predict broad damage patterns, despite slightly overestimating impacts. Being able to anticipate the effects of complex, interconnected hazards is critical for disaster preparedness.
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/nhess-24-1721-2024, https://doi.org/10.5194/nhess-24-1721-2024, 2024
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The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of life cycle consequence (LCCon) analysis.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci., 24, 1485–1500, https://doi.org/10.5194/nhess-24-1485-2024, https://doi.org/10.5194/nhess-24-1485-2024, 2024
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This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation modeling 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 their decision-making regarding the starting time of the evacuation.
Laurine A. de Wolf, Peter J. Robinson, W. J. Wouter Botzen, Toon Haer, Jantsje M. Mol, and Jeffrey Czajkowski
Nat. Hazards Earth Syst. Sci., 24, 1303–1318, https://doi.org/10.5194/nhess-24-1303-2024, https://doi.org/10.5194/nhess-24-1303-2024, 2024
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An understanding of flood risk perceptions may aid in improving flood risk communication. We conducted a survey among 871 coastal residents in Florida who were threatened to be flooded by Hurricane Dorian. Part of the original sample was resurveyed after Dorian failed to make landfall to investigate changes in risk perception. We find a strong influence of previous flood experience and social norms on flood risk perceptions. Furthermore, flood risk perceptions declined after the near-miss event.
Laura Teresa Massano, Giorgia Fosser, Marco Gaetani, and Cécile Caillaud
EGUsphere, https://doi.org/10.5194/egusphere-2024-941, https://doi.org/10.5194/egusphere-2024-941, 2024
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Traditional wine-growing regions are threatened by expected climate change. Climate models and observations are used to calculate bioclimatic indices based both on temperature and precipitation. These indices are correlated to grape productivity in two wine-growing regions in Italy. This analysis paves the way for using climate models to study how climate change affects wine production in the future.
Saskia Arndt and Stefan Heiland
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-59, https://doi.org/10.5194/nhess-2024-59, 2024
Revised manuscript accepted for NHESS
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This study provides an overview of the current status of climate change adaptation in water management, spatial and landscape planning in the Spree River basin. Only 39 % of 28 plans analysed specify objectives and measures for adaptation to climate change. To fill this planning gap, more frequent updates of plans, a stronger focus on multifunctional measures and the adaptation of best practice examples for systematic integration of climate change impacts and adaptation are needed.
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gómez Zapata, and Yue Zhu
Nat. Hazards Earth Syst. Sci., 24, 1051–1064, https://doi.org/10.5194/nhess-24-1051-2024, https://doi.org/10.5194/nhess-24-1051-2024, 2024
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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 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 policymakers to develop effective risk mitigation strategies.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
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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 Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Gabriela Guimarães Nobre, Jamie Towner, Bernardino Nhantumbo, Célio João da Conceição Marcos Matuele, Isaias Raiva, Massimiliano Pasqui, Sara Quaresima, and Rogério Bonifácio
EGUsphere, https://doi.org/10.5194/egusphere-2024-538, https://doi.org/10.5194/egusphere-2024-538, 2024
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The "Ready, Set & Go!" system, developed by the World Food Programme and partners, employs seasonal forecasts to tackle droughts in Mozambique. With the Maputo Declaration, efforts to expand early warning systems are aligning with global initiatives for universal protection by 2027. Through advanced forecasting and anticipatory action, it could cover 76 % of districts against severe droughts, reaching 87 % national coverage for the first months of the rainy season.
Tianyang Yu, Banghua Lu, Hui Jiang, and Zhi Liu
Nat. Hazards Earth Syst. Sci., 24, 803–822, https://doi.org/10.5194/nhess-24-803-2024, https://doi.org/10.5194/nhess-24-803-2024, 2024
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A basic database for seismic risk assessment of 720 urban water supply systems in mainland China is established. The parameters of the seismic risk curves of 720 cities are calculated. The seismic fragility curves of various facilities in the water supply system are given based on the logarithmic normal distribution model. The expected seismic loss and the expected loss rate index of 720 urban water supply systems in mainland China in the medium and long term are given.
Connor Darlington, Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite, and Emma K. Raven
Nat. Hazards Earth Syst. Sci., 24, 699–714, https://doi.org/10.5194/nhess-24-699-2024, https://doi.org/10.5194/nhess-24-699-2024, 2024
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The impacts of climate change on local floods require precise maps that clearly demarcate changes to flood exposure; however, most maps lack important considerations that reduce their utility in policy and decision-making. This article presents a new approach to identifying current and projected flood exposure using a 5 m model. The results highlight advancements in the mapping of flood exposure with implications for flood risk management.
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci., 24, 673–679, https://doi.org/10.5194/nhess-24-673-2024, https://doi.org/10.5194/nhess-24-673-2024, 2024
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In this communication, we reflect on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna floods. The most frequently reported damage involves water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems, and the lack of established monitoring activities appear to be the most challenging aspects for future research.
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., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
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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.
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
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
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We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, 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 to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
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.
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.
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.
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.
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, Wouter Botzen, and Jeroen C. J. H. Aerts
EGUsphere, https://doi.org/10.5194/egusphere-2024-17, https://doi.org/10.5194/egusphere-2024-17, 2024
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SLR will lead to more frequent flooding, and salt intrusion in coastal areas will be a major concern for farming households that are highly dependent on the soil quality for their livelihoods. In this study, we simulated the risk of SLR and flooding to coastal farmers by assessing salt intrusion risk and flood damage to buildings.
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.
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.
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.
Maria-Paz Reyes-Hardy, Luigia Sara Di Maio, Lucia Dominguez, Corine Frischknecht, Sébastien Biass, Leticia Guimarães, Amiel Nieto-Torres, Manuela Elissondo, Gabriela Pedreros, Rigoberto Aguilar, Álvaro Amigo, Sebastián García, Pablo Forte, and Costanza Bonadonna
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-225, https://doi.org/10.5194/nhess-2023-225, 2024
Revised manuscript accepted for NHESS
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The Central Volcanic Zone of the Andes is shared by four countries and groups 59 volcanoes. We identified the ones with the most intense and frequent eruptions (e.g., El Misti and Ubinas), the cities with the highest density of elements at risk (e.g., Arequipa and Mequegua), and the volcanoes with the highest potential impact (e.g., Cerro Blanco and Yucamane). Our study contributes into the prioritization of risk reduction resources, which is crucial for surrounding communities.
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.
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.
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.
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.
Elisabeth Schoepfer, Jörn Lauterjung, Torsten Riedlinger, Harald Spahn, Juan Camilo Gómez Zapata, Christian D. León, Hugo Rosero-Velásquez, Sven Harig, Michael Langbein, Nils Brinckmann, Günter Strunz, Christian Geiß, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-142, https://doi.org/10.5194/nhess-2023-142, 2023
Revised manuscript accepted for NHESS
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In this paper, we provide a brief introduction on the paradigm shift from managing disasters to managing risks, followed by single-hazard to multi-hazard risk assessment. We highlight four global strategies that address disaster risk reduction and call for action. Subsequently, we present a conceptual approach for multi-risk assessment which was designed to serve potential users like disaster risk managers, urban planners or operators of critical infrastructures to increase their capabilities.
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.
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.
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.
Cited articles
Addor, N., Jaun, S., Fundel, F., and Zappa, M.: An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios, Hydrol. Earth Syst. Sci., 15, 2327–2347, https://doi.org/10.5194/hess-15-2327-2011, 2011.
Adger, W. N. and Vincent, K.: Uncertainty in adaptive capacity, C. R. Geosci., 337, 399–410, 2005.
Amendola, A., Ermoliev, Y., Ermolieva, T. Y., Gitis, V., Koff, G., and Linnerooth-Bayer, J.: A systems approach to modeling catastrophic risk and insurability, Nat. Hazards, 21, 381–393, 2000.
Antonucci, A., Salvetti, A., and Zaffalon, M.: Hazard assessment of debris flows by credal networks, in: iEMSs, 98–103, 2004.
AWEL: Amt für Abfall, Wasser, Energie und Luft: Hochwasserschutz an Sihl, Zürichsee und Limmat: Integrales Risikomanagement und Massnahmenziel-Konzept, available at: http://www.hochwasserschutz-zuerich.zh.ch (last access: 7 June 2016), 2013.
Balbi, S., Giupponi, C., Gain, A., Mojtahed, V., Gallina, V., Torresan, S., and Marcomini, A.: A Conceptual Framework for Comprehensive Assessment of Risk Prevention Measures: The Kulturisk Framework (KR-FWK), Available at SSRN 2184193, 2012.
Balbi, S., Giupponi, C., Olschewski, R., and Mojtahed, V.: The economics of hydro-meteorological disasters: approaching the estimation of the total costs, BC3 Working Paper Series 2013-12, 2013.
Barton, D., Saloranta, T., Moe, S., Eggestad, H., and Kuikka, S.: Bayesian belief networks as a meta-modelling tool in integrated river basin managementóPros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin, Ecol. Econ., 66, 91–104, 2008.
Bojovic, D., Bonzanigo, L., Giupponi, C., and Maziotis, A.: Online participation in climate change adaptation: A case study of agricultural adaptation measures in Northern Italy, J. Environ. Manage., 157, 8–19, 2015.
Buchecker, M., Salvini, G., Di Baldassarre, G., Semenzin, E., Maidl, E., and Marcomini, A.: The role of risk perception in making flood risk management more effective, Nat. Hazards Earth Syst. Sci., 13, 3013–3030, https://doi.org/10.5194/nhess-13-3013-2013, 2013.
Bullo, M.: Flood risk: Application and validation of a regional risk assessment methodology to the case study of Sihl river in Zurich, Masters thesis, Ca'Foscari University of Venice, Venice, Italy, 2013.
Buntine, W.: A guide to the literature on learning probabilistic networks from data, IEEE T. Knowl. Data En., 8, 195–210, 1996.
Carsell, K. M., Pingel, N. D., and Ford, D. T.: Quantifying the benefit of a flood warning system, Nat. Hazards Review, 5, 131–140, 2004.
Celio, E., Koellner, T., and Grêt-Regamey, A.: Modeling land use decisions with Bayesian networks: Spatially explicit analysis of driving forces on land use change, Environ. Modell. Softw., 52, 222–233, 2014.
Christopher Frey, H. and Patil, S. R.: Identification and review of sensitivity analysis methods, Risk Anal., 22, 553–578, 2002.
Craviolini, C., Heye, C., and André, O.: Das Langstrassenquartier. Veränderungen, Einflüsse, Einschätzungen – 1990 bis 2007, Zürich: Stadt Zürich, 2008.
Crichton, D.: The risk triangle, Natural disaster management, Tudor Rose, London, UK, 102–103, 1999.
Cutter, S. L., Boruff, B. J., and Shirley, W. L.: Social vulnerability to environmental hazards, Soc. Sci. Quart., 84, 242–261, 2003.
Daupras, F., Antoine, J., Becerra, S., and Peltier, A.: Analysis of the robustness of the French flood warning system: a study based on the 2009 flood of the Garonne River, Nat. Hazards, 75, 215–241, 2015.
de Campos, L. M. and Castellano, J. G.: Bayesian network learning algorithms using structural restrictions, Int. J. Approx. Reason., 45, 233–254, 2007.
DEFRA: Flood Risk to people Phase 2, FD2321-TR2 Guidance Document March 2006, Tech. rep., Department for Environment, Food & Rural Affairs, London, UK, 2006.
EEA: Mapping the Impacts of Natural Hazards and Technological Accidents in Europe: An Overview of the Last Decade, European Environment Agency, Copenhagen, Denmark, 2010.
EFAS-IS: European Flood Awareness System, available at: http://efas.eu/, last access: 11 November 2015.
Elmer, F., Thieken, A. H., Pech, I., and Kreibich, H.: Influence of flood frequency on residential building losses, Nat. Hazards Earth Syst. Sci., 10, 2145–2159, https://doi.org/10.5194/nhess-10-2145-2010, 2010.
European Commission: Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks, 2007.
Gain, A. K., Mojtahed, V., Biscaro, C., Balbi, S., and Giupponi, C.: An integrated approach of flood risk assessment in the eastern part of Dhaka City, Nat. Hazards, 79, 1499–1530, 2015.
Gain, A. K., Giupponi, C., and Renaud, F. G.: Climate change adaptation and vulnerability assessment of water resources systems in developing countries: A generalized framework and a feasibility study in Bangladesh, Water, 4, 345–366, 2012.
Giupponi, C., Gain, A., Mojtahed, V., and Balbi, S.: The socio-economic dimension of flood risk assessment: insights of KULTURisk framework, in: EGU General Assembly Conference Abstracts, vol. 15, p. 2456, 2013.
Giupponi, C., Mojtahed, V., Gain, A. K., Biscaro, C., and Balbi, S.: Integrated risk assessment of water related disasters, Paron, P. and Di Baldassarre, G., Hydro-Meteorological Hazards, Risks, and Disasters, Elsevier, 163–200, 2014.
Grêt-Regamey, A. and Straub, D.: Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS, Nat. Hazards Earth Syst. Sci., 6, 911–926, https://doi.org/10.5194/nhess-6-911-2006, 2006.
Hall, J. and Solomatine, D.: A framework for uncertainty analysis in flood risk management decisions, International Journal of River Basin Management, 6, 85–98, 2008.
Jonkman, S., Van Gelder, P., and Vrijling, J.: An overview of quantitative risk measures for loss of life and economic damage, J. Hazard. Mater., 99, 1–30, 2003.
Jonkman, S., Bočkarjova, M., Kok, M., and Bernardini, P.: Integrated hydrodynamic and economic modelling of flood damage in the Netherlands, Ecol. Econ., 66, 77–90, 2008.
Kjaerulff, U. and van der Gaag, L. C.: Making sensitivity analysis computationally efficient, in: Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 317–325, 2000.
Kuhlicke, C., Scolobig, A., Tapsell, S., Steinführer, A., and De Marchi, B.: Contextualizing social vulnerability: findings from case studies across Europe, Nat. Hazards, 58, 789–810, 2011.
Maidl, E. and Buchecker, M.: Raising risk preparedness by flood risk communication, Nat. Hazards Earth Syst. Sci., 15, 1577–1595, https://doi.org/10.5194/nhess-15-1577-2015, 2015.
Marcot, B. G., Steventon, J. D., Sutherland, G. D., and McCann, R. K.: Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation, Can. J. Forest Res., 36, 3063–3074, 2006.
McCann, R. K., Marcot, B. G., and Ellis, R.: Bayesian belief networks: applications in ecology and natural resource management, Can. J. Forest Res., 36, 3053–3062, 2006.
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., 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.
Mojtahed, V., Balbi, S., and Giupponi, C.: Flood Risk Assessment through Bayesian Networks: Effects of Adaptive and Coping Capacity in Risk Reduction to People, in: EGU Leonardo Conference, 2012.
Mukolwe, M., Di Baldassarre, G., and Bogaard, T.: KULTURisk Methodology Application: Ubaye Valley (Barcelonnette, France), Hydro-Meteorological Hazards, Risks, and Disasters, Elsevier, p. 201, 2014.
Murray, C. J., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al.: Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010, Lancet, 380, 2197–2223, 2013.
Nguyen, T. C., Robinson, J., Kaneko, S., and Komatsu, S.: Estimating the value of economic benefits associated with adaptation to climate change in a developing country: A case study of improvements in tropical cyclone warning services, Ecol. Econ., 86, 117–128, 2013.
Olschewski, R.: Sihl/Zurich case study, The 3rd KULTURisk workshop: Benefits of disaster prevention measures: consolidating and widening an innovative risk assessment methodology, available at: http://www.corila.it/?q=node/180 (last access: 7 June 2016) 2013.
Pappenberger, F., Cloke, H. L., Parker, D. J., Wetterhall, F., Richardson, D. S., and Thielen, J.: The monetary benefit of early flood warnings in Europe, Environ. Sci. Policy, 51, 278–291, 2015.
Pearl, J. and Russell, S.: Bayesian networks, Computer Science Department, University of California, Los Angeles, CA, USA, 1998.
Raso, G., Schur, N., Utzinger, J., Koudou, B. G., Tchicaya, E. S., Rohner, F., NíGoran, E. K., Silué, K. D., Matthys, B., Assi, S., and Tanner, M.: Mapping malaria risk among children in Côte díIvoire using Bayesian geo-statistical models, Malaria J., 11, 160, 2012.
Romang, H., Zappa, M., Hilker, N., Gerber, M., Dufour, F., Frede, V., Bérod, D., Oplatka, M., Hegg, C., and Rhyner, J.: IFKIS-Hydro: an early warning and information system for floods and debris flows, Nat. Hazards, 56, 509–527, 2011.
Ronco, P., Bullo, M., Torresan, S., Critto, A., Olschewski, R., Zappa, M., and Marcomini, A.: KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study, Hydrol. Earth Syst. Sci., 19, 1561–1576, https://doi.org/10.5194/hess-19-1561-2015, 2015.
Rose, A.: Economic principles, issues, and research priorities in hazard loss estimation, in: Modeling spatial and economic impacts of disasters, pp. 13–36, Springer, New York, USA, 2004.
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, 2014.
Spirtes, P., Glymour, C. N., and Scheines, R.: Causation, prediction, and search, vol. 81, MIT press, Cambridge, MA, USA and London, UK, 543 pp., 2000.
Steinführer, A., Kuhlicke, C., De Marchi, B., Scolobig, A., Tapsell, S., and Tunstall, S.: Towards flood risk management with the people at risk: From scientific analysis to practice recommendations (and back), Flood Risk Management: Research and Practice: Extended Abstracts Volume (332 pp.)+ full paper CD-ROM, p. 167, 2008.
Straub, D.: Natural hazards risk assessment using Bayesian networks, in: 9th International Conference on Structural Safety and Reliability, 19–23 June 2005, Rome, Italy, 20–23, 2005.
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, W12430, https://doi.org/10.1029/2005WR004177, 2005.
UNDRO: Natural Disasters and Vulnerability Analysis, Tech. rep., United Nations Disaster Relief Organization, Geneve, Switzerland, 1980.
UNISDR: Hyogo framework for action 2005–2015: Building the resilience of nations and communities to disasters, United Nations International Strategy for Disaster Reduction, Geneve, Switzerland, 2005.
UNISDR: Global assessment report on disaster risk reduction – risk and poverty in a changing climate, United Nation International Strategy for Disaster Reduction, Geneve, Switzerland, 2009.
Uusitalo, L.: Advantages and challenges of Bayesian networks in environmental modelling, Ecol. Model., 203, 312–318, 2007.
Villa, F., Bagstad, K. J., Voigt, B., Johnson, G. W., Portela, R., Honzak, M., and Batker, D.: A methodology for adaptable and robust ecosystem services assessment, PloS one, 9, e91001, https://doi.org/10.1371/journal.pone.0091001, 2014.
Vogel, K., Riggelsen, C., Merz, B., Kreibich, H., and Scherbaum, F.: Flood damage and influencing factors: a Bayesian network perspective, in: 6th European Workshop on Probabilistic Graphical Models (PGM 2012), University of Granada, Granada, Spain, 2012.
Vogel, K., Riggelsen, C., Korup, O., and Scherbaum, F.: Bayesian network learning for natural hazard analyses, Nat. Hazards Earth Syst. Sci., 14, 2605–2626, https://doi.org/10.5194/nhess-14-2605-2014, 2014.
Zurich, B. D. C.: Limmatauen Werdhölzli: Abschluss eines Vorzeigeprojekts, available at: http://www.zh.ch/internet/de/aktuell/news/medienmitteilungen/2013/209_limmatauen.html (last access: 7 June 2016), 2013.
Short summary
This study develops a novel methodology to assess flood risk to people by integrating people’s vulnerability and ability to cushion hazards through coping and adapting. The model is used to estimate the effect of improving an existing early warning system. The proposed approach extends traditional risk assessments beyond material damages, complements quantitative and semi-quantitative data with subjective and local knowledge, and improves the use of commonly available information.
This study develops a novel methodology to assess flood risk to people by integrating people’s...
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