Articles | Volume 15, issue 1
https://doi.org/10.5194/nhess-15-59-2015
© Author(s) 2015. 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-15-59-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jan 2015
Research article |
| 12 Jan 2015
Risk to life due to flooding in post-Katrina New Orleans
A. Miller
CORRESPONDING AUTHOR
Department of Civil Engineering, Delft University of Technology, Delft, the Netherlands
S. N. Jonkman
Delft University of Technology, Delft, the Netherlands
M. Van Ledden
Royal Haskoning DHV, Rdam, the Netherlands
Related authors
No articles found.
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci., 27, 4227–4246, https://doi.org/10.5194/hess-27-4227-2023, https://doi.org/10.5194/hess-27-4227-2023, 2023
Short summary
Short summary
To overcome the computational cost of numerical models, we propose a deep-learning approach inspired by hydraulic models that can simulate the spatio-temporal evolution of floods. We show that the model can rapidly predict dike breach floods over different topographies and breach locations, with limited use of ground-truth data.
Hanqing Xu, Elisa Ragno, Sebastiaan N. Jonkman, Jun Wang, Jeremy D. Bricker, Zhan Tian, and Laixiang Sun
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-261, https://doi.org/10.5194/hess-2023-261, 2023
Preprint under review for HESS
Short summary
Short summary
A coupled statistical-hydrodynamic model framework is used to quantitatively assess the sensitivity of the compound flood hazard to the relative timing between peak surge and rainfall. The results indicate that the timing difference between storm surges and rainfall plays a crucial role in flood inundation depth and extension. The most severe inundation occurs when rainfall precedes the storm surge peak of 2 hours.
Roberto Bentivoglio, Elvin Isufi, Sebastian Nicolaas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci., 26, 4345–4378, https://doi.org/10.5194/hess-26-4345-2022, https://doi.org/10.5194/hess-26-4345-2022, 2022
Short summary
Short summary
Deep learning methods have been increasingly used in flood management to improve traditional techniques. While promising results have been obtained, our review shows significant challenges in building deep learning models that can (i) generalize across multiple scenarios, (ii) account for complex interactions, and (iii) perform probabilistic predictions. We argue that these shortcomings could be addressed by transferring recent fundamental advancements in deep learning to flood mapping.
Julius Schlumberger, Christian Ferrarin, Sebastiaan N. Jonkman, Manuel Andres Diaz Loaiza, Alessandro Antonini, and Sandra Fatorić
Nat. Hazards Earth Syst. Sci., 22, 2381–2400, https://doi.org/10.5194/nhess-22-2381-2022, https://doi.org/10.5194/nhess-22-2381-2022, 2022
Short summary
Short summary
Flooding has serious impacts on the old town of Venice. This paper presents a framework combining a flood model with a flood-impact model to support improving protection against future floods in Venice despite the recently built MOSE barrier. Applying the framework to seven plausible flood scenarios, it was found that individual protection has a significant damage-mediating effect if the MOSE barrier does not operate as anticipated. Contingency planning thus remains important in Venice.
Manuel Andres Diaz Loaiza, Jeremy D. Bricker, Remi Meynadier, Trang Minh Duong, Rosh Ranasinghe, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 22, 345–360, https://doi.org/10.5194/nhess-22-345-2022, https://doi.org/10.5194/nhess-22-345-2022, 2022
Short summary
Short summary
Extratropical cyclones are one of the major causes of coastal floods in Europe and the world. Understanding the development process and the flooding of storm Xynthia, together with the damages that occurred during the storm, can help to forecast future losses due to other similar storms. In the present paper, an analysis of shallow water variables (flood depth, velocity, etc.) or coastal variables (significant wave height, energy flux, etc.) is done in order to develop damage curves.
Christopher H. Lashley, Sebastiaan N. Jonkman, Jentsje van der Meer, Jeremy D. Bricker, and Vincent Vuik
Nat. Hazards Earth Syst. Sci., 22, 1–22, https://doi.org/10.5194/nhess-22-1-2022, https://doi.org/10.5194/nhess-22-1-2022, 2022
Short summary
Short summary
Many coastlines around the world have shallow foreshores (e.g. salt marshes and mudflats) that reduce storm waves and the risk of coastal flooding. However, most of the studies that tried to quantify this effect have excluded the influence of very long waves, which often dominate in shallow water. Our newly developed framework addresses this oversight and suggests that safety along these coastlines may be overestimated, since these very long waves are largely neglected in flood risk assessments.
Roberto Bentivoglio, Elvin Isufi, Sebastian Nicolaas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-614, https://doi.org/10.5194/hess-2021-614, 2021
Manuscript not accepted for further review
Short summary
Short summary
Deep Learning methods have been increasingly used in flood mapping as an alternative to traditional modeling techniques. While promising results have been obtained, our review shows significant challenges in building Deep Learning models that can generalize across multiple scenarios, account for complex interactions, and provide probabilistic predictions. We argue that these shortcomings could be addressed by transferring recent fundamental advancements in Deep Learning.
Erik C. van Berchum, Mathijs van Ledden, Jos S. Timmermans, Jan H. Kwakkel, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 20, 2633–2646, https://doi.org/10.5194/nhess-20-2633-2020, https://doi.org/10.5194/nhess-20-2633-2020, 2020
Short summary
Short summary
Flood risk management is especially complicated in coastal cities. The complexity of multiple flood hazards in a rapidly changing urban environment leads to a situation with many different potential measures and future scenarios. This research demonstrates a new model capable of quickly simulating flood impact and comparing many different strategies. This is applied to the city of Beira, where it was able to provide new insights into the local flood risk and potential strategies.
Sebastiaan N. Jonkman, Maartje Godfroy, Antonia Sebastian, and Bas Kolen
Nat. Hazards Earth Syst. Sci., 18, 1073–1078, https://doi.org/10.5194/nhess-18-1073-2018, https://doi.org/10.5194/nhess-18-1073-2018, 2018
Short summary
Short summary
An analysis was made of the loss of life directly caused by Hurricane Harvey. Information was collected for 70 fatalities that occurred directly due to the event. Most of the fatalities occurred in the greater Houston area, which was most severely affected by extreme rainfall and heavy flooding. The majority of fatalities in this area were recovered outside the designated 100- and 500-year flood zones. Most fatalities occurred due to drowning (81 %), particularly in and around vehicles.
Dominik Paprotny, Michalis I. Vousdoukas, Oswaldo Morales-Nápoles, Sebastiaan N. Jonkman, and Luc Feyen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-132, https://doi.org/10.5194/hess-2018-132, 2018
Preprint withdrawn
Dominik Paprotny, Oswaldo Morales-Nápoles, and Sebastiaan N. Jonkman
Earth Syst. Sci. Data, 10, 565–581, https://doi.org/10.5194/essd-10-565-2018, https://doi.org/10.5194/essd-10-565-2018, 2018
Short summary
Short summary
Natural hazards affect areas with various population density, economic production value and preparedness. This database will help to assess the impact of hazards in Europe in a long-term perspective. It contains data on losses, dates and location of 1564 floods from 1870–2016 in 37 countries. For the same area and timeframe, land use, population and asset value were reconstructed. Combining both data sets, one can correct the amount of losses from past events for demographic and economic growth.
Dominik Paprotny, Oswaldo Morales-Nápoles, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 17, 1267–1283, https://doi.org/10.5194/nhess-17-1267-2017, https://doi.org/10.5194/nhess-17-1267-2017, 2017
Related subject area
Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
A regional-scale approach to assessing non-residential building, transportation and cropland exposure in Central Asia
Towards a global impact-based forecasting model for tropical cyclones
Identifying vulnerable populations in urban society: a case study in a flood-prone district of Wuhan, China
An assessment of potential improvements in social capital, risk awareness, and preparedness from digital technologies
Spatial accessibility of emergency medical services under inclement weather: a case study in Beijing, China
Review article: Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards
Estimating emergency costs for earthquakes and floods in Central Asia based on modelled losses
Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines
Regional-scale landslide risk assessment in Central Asia
Cost estimation for the monitoring instrumentation of landslide early warning systems
The role of response efficacy and self-efficacy in disaster preparedness actions for vulnerable households
Scientists as storytellers: the explanatory power of stories told about environmental crises
Back analysis of a building collapse under snow and rain loads in a Mediterranean area
Simulating multi-hazard event sets for life cycle consequence analysis
Brief communication: On the environmental impacts of 2023 flood in Emilia-Romagna (Italy)
Assessment of building damage and risk under extreme flood scenarios in Shanghai
Mangrove ecosystem properties regulate high water levels in a river delta
Analysis of flood warning and evacuation efficiency by comparing damage and life-loss estimates with real consequences related to the São Francisco tailings dam failure in Brazil
Factors of influence on flood risk perceptions related to Hurricane Dorian: an assessment of heuristics, time dynamics and accuracy of risk perceptions
Anticipating a risky future: LSTM models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru
Analysis of the effects of urban micro-scale vulnerabilities on tsunami evacuation using and Agent-Based model. Case study in the city of Iquique, Chile
Criteria-based visualization design for hazard maps
Study on Seismic Risk Assessment Model of Water Supply System in Chinese Mainland
Low-regret climate change adaptation in coastal megacities – evaluating large-scale flood protection and small-scale rainwater detention measures for Ho Chi Minh City, Vietnam
Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique
Scenario-based multi-risk assessment from existing single-hazard vulnerability models. An application to consecutive earthquakes and tsunamis in Lima, Peru
A new regionally consistent exposure database for Central Asia: population and residential buildings
Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study
Large-scale risk assessment on snow avalanche hazard in alpine regions
Mapping current and future flood exposure using a 5-metre flood model and climate change projections
Probabilistic and machine learning methods for uncertainty quantification in power outage prediction due to extreme events
Public intention to participate in sustainable geohazard mitigation: an empirical study based on an extended theory of planned behavior
An assessment of short–medium-term interventions using CAESAR-Lisflood in a post-earthquake mountainous area
Review article: Design and evaluation of weather index insurance for multi-hazard resilience and food insecurity
Design and application of a multi-hazard risk rapid assessment questionnaire for hill communities in the Indian Himalayan region
Identifying the drivers of private flood precautionary measures in Ho Chi Minh City, Vietnam
Performance of the flood warning system in Germany in July 2021 – insights from affected residents
Differences in volcanic risk perception among Goma's population before the Nyiragongo eruption of May 2021, Virunga volcanic province (DR Congo)
Empirical tsunami fragility modelling for hierarchical damage levels
Quantifying the potential benefits of risk-mitigation strategies on future flood losses in Kathmandu Valley, Nepal
Review article: Potential of nature-based solutions to mitigate hydro-meteorological risks in sub-Saharan Africa
Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling
Classifying marine faults for hazard assessment offshore Israel: a new approach based on fault size and vertical displacement
Assessing agriculture's vulnerability to drought in European pre-Alpine regions
Tsunami risk perception in central and southern Italy
Brief communication: Critical infrastructure impacts of the 2021 mid-July western European flood event
Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models
Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy
Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector
Dynamic risk assessment of compound hazards based on VFS–IEM–IDM: a case study of typhoon–rainstorm hazards in Shenzhen, China
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
EGUsphere, https://doi.org/10.5194/egusphere-2023-2540, https://doi.org/10.5194/egusphere-2023-2540, 2023
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Laurine A. de Wolf, Peter J. Robinson, Wouter J. W. Botzen, Toon Haer, Jantsje M. Mol, and Jeff Czajkowski
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-163, https://doi.org/10.5194/nhess-2023-163, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
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. 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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Connor Darlington, Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite, and Emma K. Raven
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-87, https://doi.org/10.5194/nhess-2023-87, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
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 make their utility in policy and decision-making difficult. This article presents a new approach to identifying current and projected flood exposure using a 5-metre model. The results highlight advancements in the mapping of flood exposure with implications for flood risk management.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
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
Short summary
Short summary
This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings 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.
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
Short summary
Short summary
It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. 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.
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
Short summary
Short summary
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.
Cited articles
Apostolakis, G. E.: How useful is quantitative risk assessment?, Risk Analysis, 24, 515–520, 2004.
Baecher, G.: Quantifying flood Risk, ASFPM Foundation Symposium, http://www.asfpmfoundation.org/forum/Quantifying_Flood_Risk_FINAL.pdf (last access: November 2013), 2009.
Bos, A.: Optimal safety levels for the New Orleans East polder, traineeship report, Royal Haskoning, New Orleans, 2008.
Boyd, E. C.: Estimating and Mapping the Direct Flood Fatality Rate for Flooding in Greater New Orleans due To Hurricane Katrina, Risk Hazards Crisis Publ. Policy, 1, 91–114, 2010.
Bush, D. M., Neal, W. J., Young, R. S., and Pilkey, O. H.: Utilization of geoindicators for rapid assessment of coastal-hazard risk and mitigation, Ocean Coast. Manage., 42, 647–670, 1999.
Campanella, R.: Geographies of New Orleans, Urban Fabrics Before the Storm. Center for Louisiana Studies, University of Louisiana, Lafayette, 63 pp., 2006.
Cutter, S. L. and Smith, M. M.: Fleeing from the Hurricane's Wrath: Evacuation and the Two Americas, Environment March–April 2009, http://www.environmentmagazine.org/archives/back_issues/march-april_2009/cutter-smith-full.html (last access: July 2014), 2009.
de Bruijn, K. M.: Improvement of casualty functions based on data of the flooding of New Orleans, in: 2005 WL Delft Hydraulics Report Q3668.00, Deltares Research Report, 2006.
de Bruijn, K. M., Diermanse, F. L. M., and Beckers, J. V. L.: An advanced method for flood risk analysis in river deltas, applied to societal flood fatality risk in the Netherlands, Nat. Hazards Earth Syst. Sci., 14, 2767–2781, https://doi.org/10.5194/nhess-14-2767-2014, 2014.
Dixon, T. H., Amelung, F., Ferretti, A., Novali, F., Rocca, F., Dokka, R., Sella, G., Kim, S. W., Wdowinski, S., and Whitman, D.: Subsidence and flooding in New Orleans, Nature, 441, 587–588, https://doi.org/10.1038/441587a, 2006.
FEMA – Federal Emergency Management Agency: Hurricane Katrina in the Gulf Coast, Mitigation assessment team report, Building performance observations, recommendations and technical guidance, FEMA Report 549, http://www.fema.gov/es/media-library/assets/documents/406 (last access: January 2015), 2006.
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.: Future flood losses in major coastal cities, Nat. Clim. Change, 3, 802–806, 2013.
Hoss, F.: A comprehensive assessment of Multilayered Safety in flood risk management, Msc Thesis, Delft University of Technology, Delft, the Netherlands, 2010.
ICHARM: Large scale flood report, http://www.ifihome.info/icfmicharm/Large_Scale_Flood_Report Web.pdf (last access: June 2014), 2011.
IPET – Interagency Performance Evaluation Task Force: Performance evaluation of the New Orleans and southeast Louisiana hurricane protection system, Volume VII: The consequences, Final Report, 26 March 2007a.
IPET: Performance evaluation of the New Orleans and southeast Louisiana hurricane protection system, Volume IV: The storm, Final Report, 26 March 2007b.
IPET: Performance evaluation of the New Orleans and Southeast Louisiana Hurricane Protection System, Volume VII: Engineering and Operational Risk and Reliability Analysis, Final report, June 2009a.
IPET: A General Description of Vulnerability to Flooding and Risk for New Orleans and Vicinity: Past, Present and Future, in: Supplemental Report of the Interagency Performance Evaluation Task Force, edited by: Link, L. E., 2009b.
Jongejan, R., Stefess, H., Roode, N., Ter Horst, W., and Maaskant, B.: The VNK2-project: a fully probabilistic risk analysis for all major levee systems in the Netherlands, in: Floods: From Risk to Opportunity, IAHS Red Book, IAHS Press, Oxfordshire, 75–85, 2012.
Jonkman, S. N., van Gelder, P. H. A. J. M., and Vrijling, J. K.: An overview of quantitative risk measures for loss of life and economic damage, J. Hazard. Mater., A99, 1–30, 2003.
Jonkman, S. N., Vrijling, J. K., and Kok, M.: Flood risk assessment in the Netherlands: A case study for dike ring South Holland, Risk Analysis, 28, 1357–1373, 2008.
Jonkman, S. N., Kok, M., van Ledden, M., and Vrijling, J. K.: Risk-based design of flood defence systems: a preliminary analysis of the optimal protection level for the New Orleans metropolitan area, J. Flood Risk Manage., 2, 170–181, 2009a.
Jonkman, S. N., Maaskant, B., Boyd, E., and Levitan, M. L.: Loss of Life Caused by the Flooding of New Orleans After Hurricane Katrina: Analysis of the Relationship Between Flood Characteristics and Mortality, Risk Analysis, 29, 676–698, https://doi.org/10.1111/j.1539-6924.2008.01190.x, 2009b.
Jonkman, S. N., Jongejan, R. B., and Maaskant, B.: The Use of Individual and Societal Risk Criteria within the Dutch Flood Safety Policy – Nationwide Estimates of Societal Risk and Policy Applications, Risk Analysis, 31, 282–300, 2011.
Jonkman, S. N., Hiel, L. A., Bea, R. G., Foster, H., Tsioulou, A., Arroyo, P., Stallard, T., and Harris, L.: Integrated Risk Assessment for the Natomas Basin (CA) Analysis of Loss of Life and Emergency Management for Floods, ASCE Nat. Hazards Rev., 13, 297–309, 2012.
Kaplan, S. and Garrick, B. J.: On The Quantitative Definition of Risk, Risk Analysis, 1, 11–27, 1981.
Kolen, B., Kok, M., Helsloot, I., and Maaskant, B.: EvacuAid: A Probabilistic Model to Determine the Expected Loss of Life for Different Mass Evacuation Strategies During Flood Threats, Risk Analysis, 33, 1312–1333, 2013.
Lambe, T. W. and Associates: "Acceptable risk at Kawasaki site 400", Report prepared for Towa Nenryo Kogyo co. Ltd. (now, TONEN Corporation), Kawasaki, Japan, edited by: Beacher, G. B., and Marr, W. A., Cambridge, MA, 1982.
Lopez, J. A.: The Multiple Lines of Defense Strategy to Sustain Coastal Louisiana, J. Coast. Res., 54, 186–197, 2009.
Maaskant, B.: Research on the relationships between flood characteristics and fatalities, Based on the flooding in New Orleans caused by Hurricane Katrina, Msc thesis, Delft University of Technology, Delft, the Netherlands, 2007.
Miller, A.: Risk to life due to flooding in post-Katrina New Orleans, Msc thesis, Delft University of Technology, Delft, the Netherlands, 2011.
Resio, D. T.: White Paper, Estimating Hurricane Inundation Probabilities, US Army Corps of Engineers, ERDC-CHL, USACE, Vicksburg, MS, USA, 2007.
Resio, D. T. and Westerink, J.: Modeling the physics of storm surges, Phys. Today, 61, 33–38, 2008.
Rivergages.com.: August 2005, USGS, 2010.
Seed, R. B., Bea, R. G., Abdelmalak, R. I., Athanasopoulos, A. G., Boutwell, G. P., Bray, J. D., Briaud, J.-L., Cheung, C., Cobos-Roa, D., Cohen-Waeber, J., Collins, B. D., Ehrensing, L., Farber, D., Hanemann, M., Harder, L. F., Inkabi, K. S., Kammerer, A. M., Karadeniz, D., Kayen, R. E., Moss, R. E. S., Nicks, J., Nimmala, S., Pestana, J. M., Porter, J., Rhee, K., Riemer, M. F., Roberts, K., Rogers, J. D., Storesund, R., Govindasamy, A. V., Vera-Grunauer, X., Wartman, J. E., Watkins, C. M., Wenk Jr., E., and Yim, S. C.: Investigation of the performance of the New Orleans flood protection systems in Hurricane Katrina on August 29, 2005, Independent Levee Investigation Team, Final Report, http://www.ce.berkeley.edu/projects/neworleans/ (last access: June 2014), 2006.
Sills, G. L., Vroman, N. D., Wahl, R. E., and Schwanz, N. T.: Overview of New Orleans Levee Failures: Lessons Learned and Their Impact on National Levee Design and Assessment, J. Geotech. Geoenviron. Eng., 134, 556–565, 2008.
Tengs, T. O., Adams, M. E., Pliskin, J. S., Gelb Safran, D., Siegel, J. E., Weinstein, M. C., and Graham, J. D.: Five-hundred live saving interventions and their cost effectiveness, Risk Analysis, 15, 369–390, 1995.
USACE: HSSDRS Guidelines, Elevations for design of hurricane protection levees and structures, New Orleans, http://www.mvn.usace.army.mil/Missions/Engineering/HurricaneDesignGuidelines/HurricaneDesignGuidelines.aspx (last access: January 2015), 2010a.
USACE: Levee safety program and tolerable risk guidelines, http://www.nfrmp.us/docs/10-R-8.pdf (last access: December 2014), 2010b.
USACE: New Orleans Shelter Support Study, New Orleans Emergency Planning, prepared by PBS & J, 2010c.
USBRC: United States Department of the Interior, Bureau of Reclamation, Guidelines For Achieving Public Protection In Dam Safety Decision-making, 15 June 2003, Denver, 2003.
US Census Bureau: 2010 Census of Population and Housing, US Census Bureau, Washington, D.C., 2010.
Van Ledden, M., Lynett, P., Resio, D. T., and Powell, N. J.: Probabilistic design method of levee and floodwall heights for the hurricane protection system in the New Orleans Area, Proceedings of the 10th International Workshop on Wave Hindcasting and Forecasting and Coastal Hazard Symposium 11–16 November 2007, Hawaii, 2008.
Voortman, H. G.: Risk-based design of large-scale flood defence systems, PhD thesis, Delft University, Delft, the Netherlands, 2004.
Vrijling, J. K.: Probabilistic design of water defence systems in the Netherlands, Reliab. Eng. Syst. Safety, 74, 337–344, 2001.
Vrijling, J. K., van Hengel, W., and Houben, R. J.: A framework for risk evaluation, J. Hazard. Mater., 43, 245–261, 1995.
Vrijling, J. K., van Hengel, W., and Houben, R. J.: Acceptable risk as a basis for design, Reliab. Eng. Syst. Safety, 59, 141–150, 1998.
Whitman, R.: Seventeenth Terzaghi lecture, ASCE Convention and Exposition, ASCE, Reston, VA, 1981.
Wolshon, B.: Evacuation planning and engineering for Hurricane Katrina, Roads Bridges, 36, 27–34, 2006.
Short summary
After Hurricane Katrina in 2005, New Orleans’ hurricane protection was improved to withstand a 1/100 per year hurricane. This paper quantifies the risk to life in post-Katrina New Orleans. When compared to risks of other large-scale engineering systems (e.g. other flood prone areas, dams and the nuclear sector) and acceptable risk criteria, results indicate the risk to life is significant. Results and methods of this study can inform future flood protection management and risk communication.
After Hurricane Katrina in 2005, New Orleans’ hurricane protection was improved to withstand a...
Special issue
Altmetrics
Final-revised paper
Preprint