Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-451-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-20-451-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Feb 2020
Research article |
| 19 Feb 2020
| 19 Feb 2020
Assessing transportation vulnerability to tsunamis: utilising post-event field data from the 2011 Tōhoku tsunami, Japan, and the 2015 Illapel tsunami, Chile
James H. Williams
CORRESPONDING AUTHOR
School of Earth and Environment, University of Canterbury,
Christchurch, 8041, New Zealand
Thomas M. Wilson
School of Earth and Environment, University of Canterbury,
Christchurch, 8041, New Zealand
Nick Horspool
GNS Science, Lower Hutt, 5040, New Zealand
Ryan Paulik
National Institute of Water and Atmospheric Research, Wellington, 6021, New Zealand
Liam Wotherspoon
Department of Civil and Environmental Engineering, University of Auckland, Auckland, 1010, New Zealand
Emily M. Lane
National Institute of Water and Atmospheric Research, Christchurch, 8011, New Zealand
Matthew W. Hughes
Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, 8041, New Zealand
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Rafael Santana, Richard Gorman, Emily Lane, Stuart Moore, Cyprien Bosserelle, Glen Reeve, and Christo Rautenbach
Geosci. Model Dev., 18, 4877–4898, https://doi.org/10.5194/gmd-18-4877-2025, https://doi.org/10.5194/gmd-18-4877-2025, 2025
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This research explores improving wave forecasts in Aotearoa New Zealand, particularly at Banks Peninsula and Baring Head. We used detailed models and found that forecasts at Baring Head improved significantly due to its narrow geography, but changes at Banks Peninsula were minimal. The study demonstrates that local conditions greatly influence the effectiveness of wave prediction models, highlighting the need for tailored approaches in coastal forecasting to enhance accuracy in the predictions.
Nicola J. McDonald, Leslie Dowling, Emily P. Harvey, Alana M. Weir, Mark S. Bebbington, Nam Bui, Christina Magill, Heather M. Craig, Garry W. McDonald, Juan J. Monge, Shane J. Cronin, Thomas M. Wilson, and Duncan Walker
Nat. Hazards Earth Syst. Sci., 25, 1543–1571, https://doi.org/10.5194/nhess-25-1543-2025, https://doi.org/10.5194/nhess-25-1543-2025, 2025
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In this paper, we develop a model to quantify the future economic impacts of volcanic events for dairy farms in Taranaki, Aotearoa / New Zealand. We use the model to simulate 10 000 possible volcanic futures and collate results into risk-type metrics. The results highlight the variation in risk exposure across farms and show that volcanic risk should play an important role in shaping the future of Taranaki’s dairy sector. This model could be applied to other hazard and agricultural land use contexts.
Tate Kimpton, Colin Whittaker, Pablo Higuera, and Liam Wotherspoon
EGUsphere, https://doi.org/10.5194/egusphere-2024-3724, https://doi.org/10.5194/egusphere-2024-3724, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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This research assesses tsunami exposure across New Zealand using detailed inundation maps for various tsunami scenarios. An efficient and accurate model highlights both urban centres and provincial regions as highly exposed, with significant impacts on buildings, infrastructure, and land. The findings provide critical understanding to help communities and decision-makers better plan for tsunamis, offering valuable insights for improving resilience and protecting assets nationwide.
Martin Nguyen, Matthew D. Wilson, Emily M. Lane, James Brasington, and Rose A. Pearson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-356, https://doi.org/10.5194/hess-2024-356, 2024
Revised manuscript under review for HESS
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River depth is crucial in flood modelling, yet often unavailable or costly to collect. Estimation methods can fill this gap but have errors affecting flood modelling. Our study quantified flood-prediction uncertainty due to these errors. Among parameters in Conceptual Multivariate Regression (CMR) and Uniform Flow (UF) methods, river width corresponds to the largest uncertainty, followed by flow and slope. Also, the UF-formula depths have higher uncertainty than the CMR-formula ones.
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci., 23, 1207–1226, https://doi.org/10.5194/nhess-23-1207-2023, https://doi.org/10.5194/nhess-23-1207-2023, 2023
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This paper presents a new framework for the rapid seismic loss prediction for residential buildings in Christchurch, New Zealand. The initial model was trained on insurance claims from the Canterbury earthquake sequence. Data science techniques, geospatial tools, and machine learning were used to develop the prediction model, which also delivered useful insights. The model can rapidly be updated with data from new earthquakes. It can then be applied to predict building loss in Christchurch.
Matthew W. Hayward, Emily M. Lane, Colin N. Whittaker, Graham S. Leonard, and William L. Power
Nat. Hazards Earth Syst. Sci., 23, 955–971, https://doi.org/10.5194/nhess-23-955-2023, https://doi.org/10.5194/nhess-23-955-2023, 2023
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In this paper, 20 explosive volcanic eruption scenarios of differing location and magnitude are simulated to investigate tsunami generation in Lake Taupō, New Zealand. A non-hydrostatic multilayer numerical scheme resolves the highly dispersive generated wavefield. Inundation, hydrographic and related hazard outputs are produced, indicating that significant inundation around the lake shore begins above 5 on the volcanic explosivity index.
Sébastien Biass, Susanna F. Jenkins, William H. Aeberhard, Pierre Delmelle, and Thomas Wilson
Nat. Hazards Earth Syst. Sci., 22, 2829–2855, https://doi.org/10.5194/nhess-22-2829-2022, https://doi.org/10.5194/nhess-22-2829-2022, 2022
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We present a methodology that combines big Earth observation data and interpretable machine learning to revisit the impact of past volcanic eruptions recorded in archives of multispectral satellite imagery. Using Google Earth Engine and dedicated numerical modelling, we revisit and constrain processes controlling vegetation vulnerability to tephra fallout following the 2011 eruption of Cordón Caulle volcano, illustrating how this approach can inform the development of risk-reduction policies.
Matthew W. Hayward, Colin N. Whittaker, Emily M. Lane, William L. Power, Stéphane Popinet, and James D. L. White
Nat. Hazards Earth Syst. Sci., 22, 617–637, https://doi.org/10.5194/nhess-22-617-2022, https://doi.org/10.5194/nhess-22-617-2022, 2022
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Volcanic eruptions can produce tsunamis through multiple mechanisms. We present validation cases for a numerical method used in simulating waves caused by submarine explosions: a laboratory flume experiment and waves generated by explosions at field scale. We then demonstrate the use of the scheme for simulating analogous volcanic eruptions, illustrating the resulting wavefield. We show that this scheme models such dispersive sources more proficiently than standard tsunami models.
Elisa Lahcene, Ioanna Ioannou, Anawat Suppasri, Kwanchai Pakoksung, Ryan Paulik, Syamsidik Syamsidik, Frederic Bouchette, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 21, 2313–2344, https://doi.org/10.5194/nhess-21-2313-2021, https://doi.org/10.5194/nhess-21-2313-2021, 2021
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In Indonesia, tsunamis represent a significant risk to coastal communities and buildings. Therefore, it is fundamental to deeply understand the tsunami source impact on buildings and infrastructure. This work provides a novel understanding of the relationship between wave period, ground shaking, liquefaction events, and potential building damage using tsunami fragility curves. This study represents the first investigation of colossal impacts increasing building damage.
Clare Wilkinson, Daniel C. H. Hikuroa, Angus H. Macfarlane, and Matthew W. Hughes
Earth Surf. Dynam., 8, 595–618, https://doi.org/10.5194/esurf-8-595-2020, https://doi.org/10.5194/esurf-8-595-2020, 2020
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This review highlights potential contributions that Indigenous knowledge can make to geomorphic research. We evaluate several frameworks and models for including Indigenous knowledge in geomorphic research and discuss how they can be adapted for use with Indigenous communities across the world. We propose that weaving Indigenous knowledge with geomorphic science has the potential to create new solutions and understandings that neither body of knowledge could produce in isolation.
V. L. Sword-Daniels, T. Rossetto, T. M. Wilson, and S. Sargeant
Nat. Hazards Earth Syst. Sci., 15, 947–961, https://doi.org/10.5194/nhess-15-947-2015, https://doi.org/10.5194/nhess-15-947-2015, 2015
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There is a high degree of dependency between different critical infrastructures, which can pass on disruptions between interconnected sectors. This empirical study presents a new qualitative methodology for exploring the complexities of interdependent systems in a real-world context. We identify many different relationships across a network that transform in type and number when exposed to hazards, which add capacities to some sectors. This improves understanding of infrastructure resilience.
N. Horspool, I. Pranantyo, J. Griffin, H. Latief, D. H. Natawidjaja, W. Kongko, A. Cipta, B. Bustaman, S. D. Anugrah, and H. K. Thio
Nat. Hazards Earth Syst. Sci., 14, 3105–3122, https://doi.org/10.5194/nhess-14-3105-2014, https://doi.org/10.5194/nhess-14-3105-2014, 2014
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This study develops the first national probabilistic tsunami hazard assessment for Indonesia. The findings indicate that for short return periods (100 years) the south coast of Java and west coast of Sumatra have a similar hazard level to north Papua and north Sulawesi. For long return periods (2500 years) the hazard is the highest in Java and Sumatra. The results can be used to inform and prioritise tsunami risk reduction activities.
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Robert J. Taggart and David J. Wilke
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Our research presents a new method for determining warning levels for any hazard. Using risk matrices, our framework addresses issues found in other approaches. We provide examples to demonstrate how the approach works. A powerful method for evaluating warning accuracy is given, allowing for a cycle of continuous improvement in warning services. This research is relevant to a broad audience, from those who develop forecast systems to practitioners who issue or communicate warnings.
Núria Pantaleoni Reluy, Marcel Hürlimann, and Nieves Lantada
EGUsphere, https://doi.org/10.5194/egusphere-2025-1009, https://doi.org/10.5194/egusphere-2025-1009, 2025
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Spain combines public funds with a state-backed insurance program for natural disaster recovery. Our study examines Storm Gloria, which struck Catalonia in 2020, causing severe damage. By systematically collecting and classifying direct losses, we offer insights into the role of government interventions in disaster response, define multi-hazard municipalities based on a loss database, and provide initial insights into loss assessments relative to annual occurrence probability.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025, https://doi.org/10.5194/nhess-25-1013-2025, 2025
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Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated farmers' individual choices – like changing crops or digging wells – and their effects on profits, yields, and water resources. Results show these adaptations, while improving incomes, ultimately increase drought vulnerability and damage. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrological models in shaping policies to lessen drought impacts.
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
Nat. Hazards Earth Syst. Sci., 25, 879–891, https://doi.org/10.5194/nhess-25-879-2025, https://doi.org/10.5194/nhess-25-879-2025, 2025
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This study explores how social media, specifically Twitter (X), can help us understand public reactions to floods in Germany from 2014 to 2021. Using large language models, we extract topics and patterns of behavior from flood-related tweets. The findings offer insights to improve communication and disaster management. Topics related to low-impact flooding contain descriptive hazard-related content, while the focus shifts to catastrophic impacts and responsibilities during high-impact events.
Fangyu Tian, Yun Su, Xudong Chen, and Le Tao
Nat. Hazards Earth Syst. Sci., 25, 591–607, https://doi.org/10.5194/nhess-25-591-2025, https://doi.org/10.5194/nhess-25-591-2025, 2025
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This study developed a model of extreme drought-induced famine processes and response mechanisms in ancient China. The spatial distribution of drought and famine during the Chenghua drought and the Wanli drought was constructed. By categorizing drought-affected counties into three types, a comparative analysis of the differences in famine severity and response effectiveness between the Chenghua and Wanli droughts was conducted.
Gabriele Bertoli, Chiara Arrighi, and Enrica Caporali
Nat. Hazards Earth Syst. Sci., 25, 565–580, https://doi.org/10.5194/nhess-25-565-2025, https://doi.org/10.5194/nhess-25-565-2025, 2025
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Environmental assets are crucial to sustaining and fulfilling life on Earth via ecosystem services (ESs). Studying their flood risk is thus seminal, in addition to being required by several norms. However, this field is not yet adequately developed. We studied the exposure component of flood risk and developed an evaluating methodology based on the ESs provided by environmental assets to discern assets and areas that are more important than others with metrics suitable to large-scale studies.
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu
Nat. Hazards Earth Syst. Sci., 25, 493–513, https://doi.org/10.5194/nhess-25-493-2025, https://doi.org/10.5194/nhess-25-493-2025, 2025
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Highway-blocking events are characterized by diurnal variation. A classification method of severity levels of highway blocking is catagorized into five levels. The severity levels of highway blocking due to high-impact weather are evaluated. A method for calculating the degree of highway load in China is proposed. A quantitative assessment of the losses of highway blocking due to dense fog is conducted. The highway losses caused by dense fog are concentrated in North, East, and Southwest China.
Thiago Dutra dos Santos and Taro Uchida
EGUsphere, https://doi.org/10.5194/egusphere-2024-2255, https://doi.org/10.5194/egusphere-2024-2255, 2025
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Five federal sediment-related disaster risk assessments have been conducted in Brazil, each with distinct objectives and methodologies. To evaluate their effectiveness and identify issues, we analyzed the methods, the outcome data, and reviewed the status of disaster prevention initiatives based on the assessment results. Our findings revealed persistent problems across all methods. Consequently, we recommended improvements to enhance their efficacy and reliability.
Alexandre Dunant, Tom R. Robinson, Alexander L. 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
Nat. Hazards Earth Syst. Sci., 25, 267–285, https://doi.org/10.5194/nhess-25-267-2025, https://doi.org/10.5194/nhess-25-267-2025, 2025
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Natural hazards like earthquakes often trigger other disasters, such as landslides, creating complex chains of impacts. We developed a risk model using a mathematical approach called hypergraphs to efficiently measure the impact of interconnected hazards. We showed that it can predict broad patterns of damage to buildings and roads from the 2015 Nepal earthquake. The model's efficiency allows it to generate multiple disaster scenarios, even at a national scale, to support preparedness plans.
Cees Oerlemans, Martine van den Boomen, Ties Rijcken, and Matthijs Kok
EGUsphere, https://doi.org/10.5194/egusphere-2024-2910, https://doi.org/10.5194/egusphere-2024-2910, 2025
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This study analyzes flood exposure in Rotterdam's unembanked areas from 1970 to 2150, exploring the interplay between rising sea levels, urban development, and flood protection measures. Without measures, flood exposure will increase, especially after 2100. The Maeslant storm surge barrier had the most impact on flood exposure, followed by urban development and sea level rise. Varied exposure levels across neighborhoods suggest the need for localized adaptation strategies.
Harikesan Baskaran, Ioanna Ioannou, Tiziana Rossetto, Jonas Cels, Mathis Joffrain, Nicolas Mortegoutte, Aurelie Fallon Saint-Lo, and Catalina Spataru
Nat. Hazards Earth Syst. Sci., 25, 49–76, https://doi.org/10.5194/nhess-25-49-2025, https://doi.org/10.5194/nhess-25-49-2025, 2025
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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 mean the data required for vulnerability evaluation by the insurance industry are 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.
Neal Hughes, Donald Gaydon, Mihir Gupta, Andrew Schepen, Peter Tan, Geoffrey Brent, Andrew Turner, Sean Bellew, Wei Ying Soh, Christopher Sharman, Peter Taylor, John Carter, Dorine Bruget, Zvi Hochman, Ross Searle, Yong Song, Heidi Horan, Patrick Mitchell, Yacob Beletse, Dean Holzworth, Laura Guillory, Connor Brodie, Jonathon McComb, and Ramneek Singh
EGUsphere, https://doi.org/10.5194/egusphere-2024-3731, https://doi.org/10.5194/egusphere-2024-3731, 2024
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Droughts can impact agriculture and regional economies, and their severity is rising with climate change. Our research introduces a new system, the Australian Agricultural Drought Indicators (AADI), which measures droughts based on their effects on crops, livestock, and farm profits rather than traditional weather metrics. Using climate data and modelling, AADI predicts drought impacts more accurately, helping policymakers prepare and respond to financial and social challenges during droughts.
Gabriela Guimarães Nobre, Jamie Towner, Bernardino Nhantumbo, Célio João da Conceição Marcos Matuele, Isaias Raiva, Massimiliano Pasqui, Sara Quaresima, and Rogério Manuel Lemos Pereira Bonifácio
Nat. Hazards Earth Syst. Sci., 24, 4661–4682, https://doi.org/10.5194/nhess-24-4661-2024, https://doi.org/10.5194/nhess-24-4661-2024, 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.
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., 24, 4631–4660, https://doi.org/10.5194/nhess-24-4631-2024, https://doi.org/10.5194/nhess-24-4631-2024, 2024
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In this paper, we provide a brief introduction of the paradigm shift from managing disasters to managing risks, followed by single-hazard to multi-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 infrastructure to increase their capabilities.
Luciano Pavesi, Elena Volpi, and Aldo Fiori
Nat. Hazards Earth Syst. Sci., 24, 4507–4522, https://doi.org/10.5194/nhess-24-4507-2024, https://doi.org/10.5194/nhess-24-4507-2024, 2024
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Several sources of uncertainty affect flood risk estimation for reliable assessment for investment, 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 for identifying the critical points where single-value estimates may underestimate the risk and the areas of vulnerability for prioritizing risk reduction efforts.
Tzu-Hsin Karen Chen, Kuan-Hui Elaine Lin, Thung-Hong Lin, Gee-Yu Liu, Chin-Hsun Yeh, and Diana Maria Ceballos
Nat. Hazards Earth Syst. Sci., 24, 4457–4471, https://doi.org/10.5194/nhess-24-4457-2024, https://doi.org/10.5194/nhess-24-4457-2024, 2024
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This study shows migration patterns to be 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 on the outskirts of megacities, where migrants from lower-income and historically marginalized groups are more likely to reside due to precarious employment conditions.
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, W. J. Wouter Botzen, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 24, 4409–4429, https://doi.org/10.5194/nhess-24-4409-2024, https://doi.org/10.5194/nhess-24-4409-2024, 2024
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As sea levels rise, coastal areas will experience more frequent flooding, and salt water will start seeping into the soil, which is a serious issue for farmers who rely on good soil quality for their crops. Here, we studied coastal Mozambique to understand the risks from sea level rise and flooding by looking at how salt intrusion affects farming and how floods damage buildings. We find that 15 %–21 % of coastal households will adapt and 13 %–20 % will migrate to inland areas in the future.
Saskia Arndt and Stefan Heiland
Nat. Hazards Earth Syst. Sci., 24, 4369–4383, https://doi.org/10.5194/nhess-24-4369-2024, https://doi.org/10.5194/nhess-24-4369-2024, 2024
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This study provides an overview of the current status of climate change adaptation in plans for water management, spatial planning 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 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.
Laura T. Massano, Giorgia Fosser, Marco Gaetani, and Cécile Caillaud
Nat. Hazards Earth Syst. Sci., 24, 4293–4315, https://doi.org/10.5194/nhess-24-4293-2024, https://doi.org/10.5194/nhess-24-4293-2024, 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 on both temperature and precipitation. These indices are correlated with grape productivity in two wine-growing regions in Italy. This analysis paves the way for using climate models to study how climate change will affect wine production in the future.
María-Paz Reyes-Hardy, Luigia Sara Di Maio, Lucia Dominguez, Corine Frischknecht, Sébastien Biass, Leticia Freitas Guimarães, Amiel Nieto-Torres, Manuela Elissondo, Gabriela Pedreros, Rigoberto Aguilar, Álvaro Amigo, Sebastián García, Pablo Forte, and Costanza Bonadonna
Nat. Hazards Earth Syst. Sci., 24, 4267–4291, https://doi.org/10.5194/nhess-24-4267-2024, https://doi.org/10.5194/nhess-24-4267-2024, 2024
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The Central Volcanic Zone of the Andes (CVZA) spans four countries with 59 volcanoes. We identify those with the most intense and frequent eruptions and the highest potential impact that require risk mitigation actions. Using multiple risk factors, we encourage the use of regional volcanic risk assessments to analyse the level of preparedness especially of transboundary volcanoes. We hope that our work will motivate further collaborative studies and promote cooperation between CVZA countries.
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamín Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, Georgios Triantafyllou, and Ulugbek T. Begaliev
Nat. Hazards Earth Syst. Sci., 24, 3851–3868, https://doi.org/10.5194/nhess-24-3851-2024, https://doi.org/10.5194/nhess-24-3851-2024, 2024
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Central Asia is prone to earthquake losses, which can heavily impact different types of assets. This paper presents the details of a probabilistic earthquake risk model which made use of a regionally consistent approach to assess feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed at facilitating a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
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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To integrate resilience assessment into practical management, this study designs a step-by-step guide that enables managers of critical infrastructure (CI) to create specific indicator systems tailored to real cases. This guide considers the consequences of hazards to CI and the cost–benefit analysis and side effects of implementable actions. The assessment results assist managers, as they are based on a multi-criterion framework that addresses several factors valued in practical management.
Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano
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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Natural disturbances are projected to intensify in the future, threatening our forests and their functions such as wood production, protection against natural hazards, and carbon sequestration. By assessing risks to forests from wind and fire damage, alongside the vulnerability of carbon, it is possible to prioritize forest stands at high risk. In this study, we propose a novel methodological approach to support climate-smart forest management and inform better decision-making.
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
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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The pile–slab retaining wall, an innovative rockfall shield, is widely used in China's western mountains. However, its dynamic impact response and resistance remain unclear due to structural complexity. A comprehensive dynamic analysis of the structure, under various impacts, was done using the finite-element method. The maximum impact energy that the structure can withstand is 905 kJ, and various indexes were obtained.
Tamir Grodek and Gerardo Benito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-171, https://doi.org/10.5194/nhess-2024-171, 2024
Revised manuscript accepted for NHESS
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Check dams, terraces, and trees on steep basins serve to retain sediments, thereby protecting urbanized alluvial fan canals and levees from flooding. However, their effectiveness gradually decreases over time due to sedimentation and aging, which may lead to catastrophic breaching floods. To enhance urban resilience, we propose preserving natural mountain basins and allocating 20–30 % of the alluvial fan for channel migration and sediment deposition corridors.
Zezhao Liu, Jiahui Yang, and Cong Wu
EGUsphere, https://doi.org/10.5194/egusphere-2024-2343, https://doi.org/10.5194/egusphere-2024-2343, 2024
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We construct an indicator-based framework, and assess urban resilience to typhoon in China’s contexts for the seven major river basins. Results verified the heterogeneity, and the resilience level in certain circumstance was not matched with city strength of economy. The analysis is helpful for government to enhance capability of resilience in specific dimensions, and provides a reference in probing urban resilience assessment confronting typhoon.
Jamir Priesner, Boris Sakschewski, Maik Billing, Werner von Bloh, Sebastian Fiedler, Sarah Bereswill, Kirsten Thonicke, and Britta Tietjen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3066, https://doi.org/10.5194/egusphere-2024-3066, 2024
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Our simulations suggest that increased drought frequencies lead to a drastic reduction in biomass in pine monoculture and mixed forest. Mixed forest eventually recovered, as long as drought frequencies was not too high. The higher resilience of mixed forests was due to higher adaptive capacity. After adaptation mixed forests were mainly composed of smaller, broad-leaved trees with higher wood density and slower growth.This would have strong implications for forestry and other ecosystem services.
Cassiano Bastos Moroz and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 3299–3314, https://doi.org/10.5194/nhess-24-3299-2024, https://doi.org/10.5194/nhess-24-3299-2024, 2024
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We evaluate the influence of urban processes on the impacts of the 2023 disaster that hit the North Coast of São Paulo, Brazil. The impacts of the disaster were largely associated with rapid urban expansion over the last 3 decades, with a recent occupation of risky areas. Moreover, lower-income neighborhoods were considerably more severely impacted, which evidences their increased exposure to such events. These results highlight the strong association between disaster risk and urban poverty.
Elin Stenfors, Malgorzata Blicharska, Thomas Grabs, and Claudia Teutschbein
EGUsphere, https://doi.org/10.5194/egusphere-2024-2726, https://doi.org/10.5194/egusphere-2024-2726, 2024
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Utilizing a survey including respondents from seven societal sectors, the role of water dependency for drought vulnerability was explored. Differences were found in the perceived impact of vulnerability factors on drought risk in relation to water dependency (i.e., dependency on either soil moisture, or groundwater and surface water). The results highlight the importance of accounting for water dependency, and to clearly define the drought hazard, in drought vulnerability or risk assessments.
Andra-Cosmina Albulescu and Iuliana Armaș
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.
Kai Schröter, Pia-Johanna Schweizer, Benedikt Gräler, Lydia Cumiskey, Sukaina Bharwani, Janne Parviainen, Chahan Kropf, Viktor Wattin Hakansson, Martin Drews, Tracy Irvine, Clarissa Dondi, Heiko Apel, Jana Löhrlein, Stefan Hochrainer-Stigler, Stefano Bagli, Levente Huszti, Christopher Genillard, Silvia Unguendoli, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-135, https://doi.org/10.5194/nhess-2024-135, 2024
Revised manuscript accepted for NHESS
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With the increasing negative impacts of extreme weather events globally, it's crucial to align efforts to manage disasters with measures to adapt to climate change. We identify challenges in systems and organizations working together. We suggest that collaboration across various fields is essential and propose an approach to improve collaboration, including a framework for better stakeholder engagement and an open-source data system that helps gather and connect important information.
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).
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Short summary
Post-event field survey data from two tsunami events, the 2011 Tōhoku tsunami, Japan, and the 2015 Illapel tsunami, Chile, are used in this study to develop fragility functions for roads and bridges. This study demonstrates the effectiveness of supplementing post-event field surveys with remotely sensed data. The resulting fragility functions address a substantial research gap in tsunami impacts on infrastructure and include a range of subtleties in asset and hazard characteristics.
Post-event field survey data from two tsunami events, the 2011 Tōhoku tsunami, Japan, and the...
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