Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-201-2019
© Author(s) 2019. 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-19-201-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jan 2019
Research article |
| 25 Jan 2019
| 25 Jan 2019
On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach
Matthias Schlögl
CORRESPONDING AUTHOR
Transportation Infrastructure Technologies, Austrian Institute of Technology (AIT), Vienna, Austria
Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
Staff Unit Earth Observation, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Vienna, Austria
Gerald Richter
Dynamic Transportation Systems, Austrian Institute of Technology (AIT), Vienna, Austria
Michael Avian
Staff Unit Earth Observation, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Vienna, Austria
Thomas Thaler
Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
Gerhard Heiss
Environmental Impact Assessment, Austrian Institute of Technology (AIT), Vienna, Austria
Gernot Lenz
Dynamic Transportation Systems, Austrian Institute of Technology (AIT), Vienna, Austria
Sven Fuchs
Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-213, https://doi.org/10.5194/nhess-2024-213, 2024
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Communicating uncertainties is a crucial yet challenging aspect of spatial modelling – especially in applied research, where results inform decisions. In disaster risk reduction, susceptibility maps for natural hazards guide planning and risk assessment, yet their uncertainties are often overlooked. We present a new type of landslide susceptibility map that visualizes both susceptibility and associated uncertainty, alongside guidelines for creating such maps using free and open-source software.
Matthias Schlögl and Christoph Matulla
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Reliable information on the extent of climate change and its projected future impacts on transport infrastructure is of prime importance for the smooth functioning of societies. Rainfall events which may trigger landslides are analysed until the end of this century and compared to present-day conditions. Results indicate overall increases of landslide activity, especially in areas with structured terrain. Derived findings support proactive adaptation to rainfall-induced landslide exposure.
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Different extreme value analysis approaches and fitting methods are compared with respect to their value for assessing the exposure of transport networks to extreme precipitation and temperature impacts. The merits of simultaneous analysis and combined plotting of various approaches are shown. The use of conditional performance metrics is proposed as an additional measure for assessing model goodness of fit. Findings of the study can be transferred to a range of environmental variables.
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Communicating uncertainties is a crucial yet challenging aspect of spatial modelling – especially in applied research, where results inform decisions. In disaster risk reduction, susceptibility maps for natural hazards guide planning and risk assessment, yet their uncertainties are often overlooked. We present a new type of landslide susceptibility map that visualizes both susceptibility and associated uncertainty, alongside guidelines for creating such maps using free and open-source software.
Hedieh Soltanpour, Kamal Serrhini, Joel C. Gill, Sven Fuchs, and Solmaz Mohadjer
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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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We applied the Maximum Entropy model to characterize multi-hazard scenarios in karst environments, focusing on flood-triggered sinkholes in Val d'Orléans, France. Karst terrains as multi-hazard forming areas, have received little attention in multi-hazard literature. Our study developed a multi-hazard susceptibility map to forecast the spatial distribution of these hazards. The findings improve understanding of hazard interactions and demonstrate the model's utility in multi-hazard analysis.
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Nat. Hazards Earth Syst. Sci., 23, 2547–2568, https://doi.org/10.5194/nhess-23-2547-2023, https://doi.org/10.5194/nhess-23-2547-2023, 2023
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A rapid sequence of cascading events involving thermokarst lake outburst, rock glacier front failure, debris flow development, and river blockage hit an alpine valley in Austria during summer 2019. We analyze the environmental conditions initiating the process chain and identify the rapid evolution of a thermokarst channel network as the main driver. Our results highlight the need to account for permafrost degradation in debris flow hazard assessment studies.
Andreas Kellerer-Pirklbauer, Michael Avian, Douglas I. Benn, Felix Bernsteiner, Philipp Krisch, and Christian Ziesler
The Cryosphere, 15, 1237–1258, https://doi.org/10.5194/tc-15-1237-2021, https://doi.org/10.5194/tc-15-1237-2021, 2021
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Present climate warming leads to glacier recession and formation of lakes. We studied the nature and rate of lake evolution in the period 1998–2019 at Pasterze Glacier, Austria. We detected for instance several large-scale and rapidly occurring ice-breakup events from below the water level. This process, previously not reported from the European Alps, might play an important role at alpine glaciers in the future as many glaciers are expected to recede into valley basins allowing lake formation.
Stefan Oberndorfer, Philip Sander, and Sven Fuchs
Nat. Hazards Earth Syst. Sci., 20, 3135–3160, https://doi.org/10.5194/nhess-20-3135-2020, https://doi.org/10.5194/nhess-20-3135-2020, 2020
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The article provides a comparison of a standard (deterministic) risk assessment approach for roads exposed to a multi-hazard environment with a probabilistic risk analysis method to show the potential bias in the results. A probabilistic approach enables the quantification of epistemic uncertainty and uses probability distributions to characterize data uncertainty of the input variables, while a deterministic computation uses single values with discrete values without uncertainty representation.
Mark Bawa Malgwi, Sven Fuchs, and Margreth Keiler
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Mitigation planning and economic loss assessment generally rely on flood damage prediction models. However, unavailability of empirical data has limited the use of such models in data-scarce areas. This paper combines the vulnerability indicator and damage grade approach to develop a conceptual framework for predicting building damage in data-scarce regions. The framework can be implemented using only expert knowledge and facilitates transferability of flood damage models in data-scarce areas.
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Matthias Schlögl and Christoph Matulla
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Reliable information on the extent of climate change and its projected future impacts on transport infrastructure is of prime importance for the smooth functioning of societies. Rainfall events which may trigger landslides are analysed until the end of this century and compared to present-day conditions. Results indicate overall increases of landslide activity, especially in areas with structured terrain. Derived findings support proactive adaptation to rainfall-induced landslide exposure.
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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.
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.
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
EGUsphere, https://doi.org/10.5194/egusphere-2024-2556, https://doi.org/10.5194/egusphere-2024-2556, 2024
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This study explores how social media, specifically Twitter (X), can help 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.
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.
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024, https://doi.org/10.5194/nhess-24-2707-2024, 2024
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Iranian insurers have been offering earthquake coverage since the 1990s. However, despite international best practices, they still do not use modern methods for risk pricing and management. As such, they seem to be accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practices with international best practices in earthquake risk pricing (catastrophe modeling) and insurance risk management (European Solvency II regime).
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 24, 2425–2440, https://doi.org/10.5194/nhess-24-2425-2024, https://doi.org/10.5194/nhess-24-2425-2024, 2024
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Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho Chi Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024, https://doi.org/10.5194/nhess-24-2375-2024, 2024
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About 820 km2 of agricultural land was inundated in central Greece due to Storm Daniel. A detailed analysis revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~ 30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimate that more than 14 000 ornithoids and 21 500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.
Annika Schubert, Anne von Streit, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-121, https://doi.org/10.5194/nhess-2024-121, 2024
Revised manuscript accepted for NHESS
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Households play a crucial role in climate adaptation efforts. Yet, households require capacities to implement measures. We explore which capacities enable German households to adapt to flooding. Our results indicate that flood-related capacities such as risk perception, responsibility appraisal and motivation are pivotal, whereas financial assets are secondary. Enhancing these specific capacities, e.g. through collaborations between households and municipalities, could promote local adaptation.
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024, https://doi.org/10.5194/nhess-24-2243-2024, 2024
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In many urban areas, people face high exposure to hazards. Resettling them to safer locations becomes a major strategy, not least because of climate change. This paper dives into the success factors of government-led resettlement in Manila and finds surprising results which challenge the usual narrative and fuel the conversation on resettlement as an adaptation strategy. Contrary to expectations, the location – whether urban or rural – of the new home is less important than safety from floods.
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024, https://doi.org/10.5194/nhess-24-2165-2024, 2024
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With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of surveys to help further research.
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024, https://doi.org/10.5194/nhess-24-2133-2024, 2024
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For the basis of seismic risk assessment, maps of seismic intensity increment and an improved map of seismic hazard have been developed, taking into account the engineering-geological conditions of the territory of Uzbekistan and the seismic characteristics of soils. For seismic risk map development, databases were created based on geographic information system platforms, allowing us to systematize and evaluate the regional distribution of information.
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024, https://doi.org/10.5194/nhess-24-2045-2024, 2024
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Transboundary flood risk management in the Ciliwung River basin is placed in a broader context of disaster management, environmental science, and governance. This is particularly relevant for areas of research involving the management of shared water resources, the impact of regional development on flood risk, and strategies to reduce economic losses from flooding.
Lichen Yu, Hao Qin, Shining Huang, Wei Wei, Haoyu Jiang, and Lin Mu
Nat. Hazards Earth Syst. Sci., 24, 2003–2024, https://doi.org/10.5194/nhess-24-2003-2024, https://doi.org/10.5194/nhess-24-2003-2024, 2024
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This paper proposes a quantitative storm surge risk assessment method for data-deficient regions. A coupled model is used to simulate five storm surge scenarios. Deep learning is used to extract building footprints. Economic losses are calculated by combining adjusted depth–damage functions with inundation simulation results. Zoning maps illustrate risk levels based on economic losses, aiding in disaster prevention measures to reduce losses in coastal areas.
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
EGUsphere, https://doi.org/10.5194/egusphere-2024-1407, https://doi.org/10.5194/egusphere-2024-1407, 2024
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Adapting to climate extremes is a challenge for spatial planning. Risk maps that include not just a consideration of hazards but also social vulnerability can help. We develop social vulnerability maps for the Stuttgart region, Germany. We show the maps, describe how and why we developed them, and provide an analysis of practitioners’ needs and their feedback. Insights presented in this paper can help to improve map usability and to better link research and planning practice.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
EGUsphere, https://doi.org/10.5194/egusphere-2024-1588, https://doi.org/10.5194/egusphere-2024-1588, 2024
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Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated all 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 damages. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrology models in shaping policies to lessen drought impacts.
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896, https://doi.org/10.5194/nhess-24-1871-2024, https://doi.org/10.5194/nhess-24-1871-2024, 2024
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Drought has long posed an existential threat to society. Population growth, economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008–2015 record drought in the Colorado Basin, Texas, United States, is used as a case study to assess impacts and responses to severe drought.
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/nhess-24-1721-2024, https://doi.org/10.5194/nhess-24-1721-2024, 2024
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The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of life cycle consequence (LCCon) analysis.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci., 24, 1485–1500, https://doi.org/10.5194/nhess-24-1485-2024, https://doi.org/10.5194/nhess-24-1485-2024, 2024
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This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation modeling and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios by emulating the dynamics and behavior of the population and their decision-making regarding the starting time of the evacuation.
Laurine A. de Wolf, Peter J. Robinson, W. J. Wouter Botzen, Toon Haer, Jantsje M. Mol, and Jeffrey Czajkowski
Nat. Hazards Earth Syst. Sci., 24, 1303–1318, https://doi.org/10.5194/nhess-24-1303-2024, https://doi.org/10.5194/nhess-24-1303-2024, 2024
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An understanding of flood risk perceptions may aid in improving flood risk communication. We conducted a survey among 871 coastal residents in Florida who were threatened to be flooded by Hurricane Dorian. Part of the original sample was resurveyed after Dorian failed to make landfall to investigate changes in risk perception. We find a strong influence of previous flood experience and social norms on flood risk perceptions. Furthermore, flood risk perceptions declined after the near-miss event.
Louise Cavalcante, David W. Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2024-650, https://doi.org/10.5194/egusphere-2024-650, 2024
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The research aimed to understand the role of society in mitigating drought impacts through policy responses in the context of northeast Brazil. Results revealed that socio-environmental-economic impacts of drought are less frequently reported, while hydrological impacts of drought were the most reported. It emphasized that public policies addressing the impacts of drought need to focus not only on increasing water availability, but also on strengthening the local economy.
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gómez Zapata, and Yue Zhu
Nat. Hazards Earth Syst. Sci., 24, 1051–1064, https://doi.org/10.5194/nhess-24-1051-2024, https://doi.org/10.5194/nhess-24-1051-2024, 2024
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We establish a model of future geospatial population distributions to quantify the number of people living in earthquake-prone and tsunami-prone areas of Lima and Callao, Peru, for the year 2035. Areas of high earthquake intensity will experience a population growth of almost 30 %. The population in the tsunami inundation area is estimated to grow by more than 60 %. Uncovering those relations can help urban planners and policymakers to develop effective risk mitigation strategies.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
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Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Tianyang Yu, Banghua Lu, Hui Jiang, and Zhi Liu
Nat. Hazards Earth Syst. Sci., 24, 803–822, https://doi.org/10.5194/nhess-24-803-2024, https://doi.org/10.5194/nhess-24-803-2024, 2024
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A basic database for seismic risk assessment of 720 urban water supply systems in mainland China is established. The parameters of the seismic risk curves of 720 cities are calculated. The seismic fragility curves of various facilities in the water supply system are given based on the logarithmic normal distribution model. The expected seismic loss and the expected loss rate index of 720 urban water supply systems in mainland China in the medium and long term are given.
Connor Darlington, Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite, and Emma K. Raven
Nat. Hazards Earth Syst. Sci., 24, 699–714, https://doi.org/10.5194/nhess-24-699-2024, https://doi.org/10.5194/nhess-24-699-2024, 2024
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The impacts of climate change on local floods require precise maps that clearly demarcate changes to flood exposure; however, most maps lack important considerations that reduce their utility in policy and decision-making. This article presents a new approach to identifying current and projected flood exposure using a 5 m model. The results highlight advancements in the mapping of flood exposure with implications for flood risk management.
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci., 24, 673–679, https://doi.org/10.5194/nhess-24-673-2024, https://doi.org/10.5194/nhess-24-673-2024, 2024
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In this communication, we reflect on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna floods. The most frequently reported damage involves water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems, and the lack of established monitoring activities appear to be the most challenging aspects for future research.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
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Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
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We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, using only features which are globally available. We show that our two-stage model conserves the performance of the original and even has the potential to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
Lisa Dillenardt and Annegret H. Thieken
EGUsphere, https://doi.org/10.5194/egusphere-2024-162, https://doi.org/10.5194/egusphere-2024-162, 2024
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Using survey data, we analysed the influence of different flood types on whether households implement adaptive measures. We found that communication and management strategies need to involve municipalities and should be tailored to the locally relevant flood type.
Jia Xu, Makoto Takahashi, and Weifu Li
Nat. Hazards Earth Syst. Sci., 24, 179–197, https://doi.org/10.5194/nhess-24-179-2024, https://doi.org/10.5194/nhess-24-179-2024, 2024
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Through the development of micro-individual social vulnerability indicators and cluster analysis, this study assessed the level of social vulnerability of 599 residents from 11 communities in the Hongshan District of Wuhan. The findings reveal three levels of social vulnerability: high, medium, and low. Quantitative assessments offer specific comparisons between distinct units, and the results indicate that different types of communities have significant differences in social vulnerability.
Tommaso Piseddu, Mathilda Englund, and Karina Barquet
Nat. Hazards Earth Syst. Sci., 24, 145–161, https://doi.org/10.5194/nhess-24-145-2024, https://doi.org/10.5194/nhess-24-145-2024, 2024
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Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
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This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
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This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Cited articles
Aulitzky, H., Heuberger, H., and Patzelt, G.: Mountain Hazard Geomorphology of
Tyrol and Vorarlberg, Austria, Mt. Res. Dev., 14,
273–305, https://doi.org/10.2307/3673725, 1994. a
Bagloee, S. A., Sarvi, M., Wolshon, B., and Dixit, V.: Identifying critical
disruption scenarios and a global robustness index tailored to real life road
networks, Transport. Res. E-Log., 98, 60–81,
https://doi.org/10.1016/j.tre.2016.12.003, 2017. a, b
Balmer, M., Rieser, M., Meister, K., Charypar, D., Lefebvre, N., Nagel, K., and
Axhausen, K.: MATSim-T: Architecture and Simulation Times, in: Multi-Agent
Systems for Traffic and Transportation Engineering, edited by: Bazzan, A.
L. C. and Klügl, F., 57–78, https://doi.org/10.4018/978-1-60566-226-8.ch003,
2009. a
Bell, R., Röhrs, H. P. M., and Dix, A.: Assessment of landslide age,
landslide persistence and human impact using airborne laser scanning digital
terrain models, Geogr. Ann. A, 94,
135–156, https://doi.org/10.1111/j.1468-0459.2012.00454.x, 2012. a
Bell, R., Glade, T., Granica, K., Heiss, G., Leopold, P., Petschko, H.,
Pomaroli, G., Proske, H., and Schweigl, J.: Landslide Susceptibility Maps for
Spatial Planning in Lower Austria, in: Landslide Science and Practice: Volume
1: Landslide Inventory and Susceptibility and Hazard Zoning, edited by:
Margottini, C., Canuti, P., and Sassa, K., 467–472, Springer Berlin
Heidelberg, Berlin, Heidelberg, Germany, https://doi.org/10.1007/978-3-642-31325-7_60, 2013. a
Berdica, K.: An introduction to road vulnerability: what has been done, is done
and should be done, Transport Policy, 9, 117–127,
https://doi.org/10.1016/S0967-070X(02)00011-2, 2002. a, b, c
Bíl, M., Kubeček, J., and Andrášik, R.: An epidemiological
approach to determining the risk of road damage due to landslides, Nat.
Hazards, 73, 1323–1335, https://doi.org/10.1007/s11069-014-1141-4, 2014. a
Bíl, M., Vodák, R., Kubeček, J., Bílová, M., and
Sedoník, J.: Evaluating road network damage caused by natural disasters
in the Czech Republic between 1997 and 2010, Transport. Res. A-Pol., 80,
90–103, https://doi.org/10.1016/j.tra.2015.07.006, 2015. a, b
Bíl, M., Andrášik, R., Nezval, V., and Bílová, M.:
Identifying locations along railway networks with the highest tree fall
hazard, Appl. Geogr., 87, 45–53, https://doi.org/10.1016/j.apgeog.2017.07.012,
2017. a
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on
precipitation intensity-duration thresholds for landslide initiation:
proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18,
31–39, https://doi.org/10.5194/nhess-18-31-2018, 2018. a
Bonham-Carter, G. F.: Geographic Information Systems for Geoscientists:
Modelling with GIS, vol. 13 of Computer Methods in Geosciences,
Pergamon, Kidlington, UK, 1994. a
Bordoni, M., Persichillo, M. G., Meisina, C., Crema, S., Cavalli, M.,
Bartelletti, C., Galanti, Y., Barsanti, M., Giannecchini, R., and D'Amato
Avanzi, G.: Estimation of the susceptibility of a road network to shallow
landslides with the integration of the sediment connectivity, Nat. Hazards
Earth Syst. Sci., 18, 1735–1758, https://doi.org/10.5194/nhess-18-1735-2018,
2018. a
Charypar, D. and Nagel, K.: Generating complete all-day activity plans with
genetic algorithms, Transportation, 32, 369–397,
https://doi.org/10.1007/s11116-004-8287-y, 2005. a, b
D'Este, G. M. and Taylor, M. A. P.: Network Vulnerability: An Approach to
Reliability Analysis at the Level of National Strategic Transport Networks,
in: The Network Reliability of Transport, edited by: Bell, M. G. H. and Iida,
Y., 23–44, https://doi.org/10.1108/9781786359544-002, 2003. a, b
Doll, C., Trinks, C., Sedlacek, N., Pelikan, V., Comes, T., and Schultmann, F.:
Adapting rail and road networks to weather extremes: case studies for
southern Germany and Austria, Nat. Hazards, 72, 63–85,
https://doi.org/10.1007/s11069-013-0969-3, 2014. a, b
Donnini, M., Napolitano, E., Salvati, P., Ardizzone, F., Bucci, F., Fiorucci,
F., Santangelo, M., Cardinali, M., and Guzzetti, F.: Impact of event
landslides on road networks: a statistical analysis of two Italian case
studies, Landslides, 14, 1521–1535, https://doi.org/10.1007/s10346-017-0829-4, 2017. a
eHORA: Natural Hazard Overview & Risk Assessment Austria, available at:
http://www.hora.gv.at/, last access: 13 March 2018. a
Eidsvig, U. M. K., Kristensen, K., and Vangelsten, B. V.: Assessing the risk
posed by natural hazards to infrastructures, Nat. Hazards Earth Syst. Sci.,
17, 481–504, https://doi.org/10.5194/nhess-17-481-2017, 2017. a, b
Eisenack, K., Stecker, R., Reckien, D., and Hoffmann, E.: Adaptation to Climate
Change in the Transport Sector: A Review, pIK-Report, 122, Potsdam, Germany, 2011. a
European Commission: EU transport in figures – statistical pocketbook
2017, https://doi.org/10.2832/041248, 2017. a
Friebe, J. G.: Geologie der österreichischen Bundesländer –
Vorarlberg, Geologische Bundesanstalt, Vienna, Austria, 2007. a
Fuchs, S.: Susceptibility versus resilience to mountain hazards in Austria –
paradigms of vulnerability revisited, Nat. Hazards Earth Syst. Sci., 9,
337–352, https://doi.org/10.5194/nhess-9-337-2009, 2009. a, b
Fuchs, S., Kuhlicke, C., and Meyer, V.: Editorial for the special issue:
vulnerability to natural hazards–the challenge of integration, Nat.
Hazards, 58, 609–619, https://doi.org/10.1007/s11069-011-9825-5, 2011. a, b
Fuchs, S., Keiler, M., Sokratov, S., and Shnyparkov, A.: Spatiotemporal
dynamics: the need for an innovative approach in mountain hazard risk
management, Nat. Hazards, 68, 1217–1241, https://doi.org/10.1007/s11069-012-0508-7,
2013. a, b
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate,
Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011,
2016. a
Gariano, S. L., Rianna, G., Petrucci, O., and Guzzetti, F.: Assessing future
changes in the occurrence of rainfall-induced landslides at a regional scale,
Sci. Total Environ., 596, 417–426,
https://doi.org/10.1016/j.scitotenv.2017.03.103, 2017. a
Gauthier, P., Furno, A., and Faouzi, N.-E. E.: Road Network Resilience: How
to Identify Critical Links Subject to Day-to-Day Disruptions, Transport. Res.
Record, 2672, 54–65, https://doi.org/10.1177/0361198118792115, 2018. a, b
Goetz, J., Brenning, A., Petschko, H., and Leopold, P.: Evaluating machine
learning and statistical prediction techniques for landslide susceptibility
modeling, Comput. Geosci., 81, 1–11,
https://doi.org/10.1016/j.cageo.2015.04.007, 2015. a
Guisan, A., Weiss, S., and Weiss, A.: GLM versus CCA spatial modeling of plant
species distribution, Plant Ecol., 143, 107–122,
https://doi.org/10.1023/A:1009841519580, 1999. a
Gutiérrez, J. and Urbano, P.: Accessibility in the European Union: the
impact of the trans-European road network, J. Transp. Geogr., 4,
15–25, https://doi.org/10.1016/0966-6923(95)00042-9, 1996. a
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: The rainfall
intensity–duration control of shallow landslides and debris flows: an
update, Landslides, 5, 3–17, https://doi.org/10.1007/s10346-007-0112-1, 2008. a
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., and
Chang, K.-T.: Landslide inventory maps: New tools for an old problem,
Earth-Sci. Rev., 112, 42–66, https://doi.org/10.1016/j.envsoft.2017.06.042,
2012. a
Hackl, J., Lam, J. C., Heitzler, M., Adey, B. T., and Hurni, L.: Estimating
network related risks: A methodology and an application in the transport
sector, Nat. Hazards Earth Syst. Sci., 18, 2273–2293,
https://doi.org/10.5194/nhess-18-2273-2018, 2018. a
Heckmann, T., Schwanghart, W., and Phillips, J. D.: Graph theory – Recent
developments of its application in geomorphology, Geomorphology, 243,
130–146, https://doi.org/10.1016/j.geomorph.2014.12.024, 2015. a
Hoogendoorn, S. P. and Bovy, P. H. L.: State-of-the-art of vehicular traffic
flow modelling, P. I. Mech. Eng. I-J. Sys., 215, 283–303,
https://doi.org/10.1177/095965180121500402, 2001. a
Horni, A., Nagel, K., and Axhausen, K. W.: Multi-Agent Transport Simulation
MATSim, https://doi.org/10.5334/baw, 2016. a, b, c, d
Jaafari, A., Najafi, A., Rezaeian, J., Sattarian, A., and Ghajar, I.: Planning
road networks in landslide-prone areas: A case study from the northern
forests of Iran, Land Use Policy, 47, 198–208,
https://doi.org/10.1016/j.landusepol.2015.04.010, 2015. a
Jaiswal, P., Westen, C. J. van., and Jetten, V.: Quantitative assessment of
direct and indirect landslide risk along transportation lines in southern
India, Nat. Hazards Earth Syst. Sci., 10, 1253–1267,
https://doi.org/10.5194/nhess-10-1253-2010, 2010. a
Jenelius, E.: Network structure and travel patterns: explaining the
geographical disparities of road network vulnerability, J. Transp. Geogr.,
17, 234–244, https://doi.org/10.1016/j.jtrangeo.2008.06.002, 2009. a, b, c
Jenelius, E., Petersen, T., and Mattsson, L.-G.: Importance and exposure in
road network vulnerability analysis, Transport. Res. A-Pol., 40, 537–560, https://doi.org/10.1016/j.tra.2005.11.003, 2006. a, b, c
Jones, E., Oliphant, T., Peterson, P., et al.: SciPy: Open source
scientific tools for Python, available at: http://www.scipy.org/,
last access: 25 November 2018. a
Kappes, M. S., Keiler, M., von Elverfeldt, K., and Glade, T.: Challenges of
analyzing multi-hazard risk: a review, Nat. Hazards, 64, 1925–1958,
https://doi.org/10.1007/s11069-012-0294-2, 2012. a
Keiler, M., Knight, J., and Harrison, S.: Climate change and geomorphological
hazards in the eastern European Alps, Philos. T. Roy. Soc. A, 368,
2461–2479, https://doi.org/10.1098/rsta.2010.0047, 2010. a
Keller, S. and Atzl, A.: Mapping Natural Hazard Impacts on Road Infrastructure
– The Extreme Precipitation in Baden-Württemberg, Germany, June 2013,
Int. J. Disast. Risk Sc., 5, 227–241,
https://doi.org/10.1007/s13753-014-0026-1, 2014. a
Kellermann, P., Schöbel, A., Kundela, G., and Thieken, A. H.: Estimating
flood damage to railway infrastructure – the case study of the March River
flood in 2006 at the Austrian Northern Railway, Nat. Hazards Earth Syst.
Sci., 15, 2485–2496, https://doi.org/10.5194/nhess-15-2485-2015, 2015. a, b
Khademi, N., Balaei, B., Shahri, M., Mirzaei, M., Sarrafi, B., Zahabiun, M.,
and Mohaymany, A. S.: Transportation network vulnerability analysis for the
case of a catastrophic earthquake, Int. J. Disast. Risk
Re., 12, 234–254, https://doi.org/10.1016/j.ijdrr.2015.01.009, 2015. a
Klingseisen, B. and Leopold, P.: Landslide Hazard Mapping in Austria, GIM
International, 20, 41–43, 2006. a
Klose, M., Damm, B., and Terhorst, B.: Landslide cost modeling for
transportation infrastructures: a methodological approach, Landslides, 12,
321–334, https://doi.org/10.1007/s10346-014-0481-1, 2015. a, b, c, d
Koetse, M. J. and Rietveld, P.: The impact of climate change and weather on
transport: An overview of empirical findings, Transport. Res. D-Tr. E., 14,
205–221, https://doi.org/10.1016/j.trd.2008.12.004, 2009. a, b
König, M., Loibl, W., and Steiger, R.: Climate Change Impacts on the
Anthroposphere, in: Austrian Assessment Report 2014 (AAR14), edited by: A. P.
on Climate Change (APCC), 641–704, Austrian Academy of Sciences Press,
Vienna, Austria, 2014a. a
König, M., Wolkinger, B., Bednar-Friedl, B., and Felderer, A.: Ein
Anpassungsfahrplan für die österreichische
Straßenverkehrsinfrastruktur, Vienna, Austria, REP-0495,
2014b. a
Lee, S., Choi, J., and Min, K.: Probabilistic landslide hazard mapping using
GIS and remote sensing data at Boun, Korea, Int. J. Remote
Sens., 25, 2037–2052, https://doi.org/10.1080/01431160310001618734, 2004. a
Leopold, P., Avian, M., and Heiss, G.: Forschungsprojekt Massenbewegungen in
den Bezirken Jennersdorf und Güssing: Neubearbeitung der
Gefahren-Hinweiskarte sowie Empfehlungen zur Flächenwidmung,
Forschungsbericht – Landesregierung Burgenland, Tulln an der Donau, Austria, 1–46, 2017. a
Margreth, S., Stoffel, L., and Wilhelm, C.: Winter opening of high alpine
pass roads – analysis and case studies from the Swiss Alps, Cold Reg. Sci.
Technol., 37, 467–482, https://doi.org/10.1016/S0165-232X(03)00085-5, 2003. a
Martinović, K., Gavin, K., Reale, C., and Mangan, C.: Rainfall thresholds
as a landslide indicator for engineered slopes on the Irish Rail network,
Geomorphology, 306, 40–50, https://doi.org/10.1016/j.geomorph.2018.01.006, 2018. a
Matulla, C., Hollósi, B., Andre, K., Gringinger, J., Chimani, B., Namyslo,
J., Fuchs, T., Auerbach, M., Herrmann, C., Sladek, B., Berghold, H., Gschier,
R., and Eichinger-Vill, E.: Climate Change driven evolution of hazards to
Europe's transport infrastructure throughout the twenty-first century,
Theor. Appl. Climatol., 133, 227–242, https://doi.org/10.1007/s00704-017-2127-4, 2017. a
Matznetter, K.: Der Vorgang der Massenbewegung an Beispielen des Klostertales
in Vorarlberg, geographischer Jahresbericht aus Österreich, XXVI. Bd.
(1955–1956), University of Vienna, Vienna, Austria, 1956. a
Mejuto, D. G.: A Europe of multiple flows: Contested discursive integration
in trans-European transport infrastructure policy-making, Eur. Urban Reg.
Stud., 24, 425–441, https://doi.org/10.1177/0969776416663809, 2017. a
Meyer, N. K., Schwanghart, W., Korup, O., and Nadim, F.: Roads at risk:
traffic detours from debris flows in southern Norway, Nat. Hazards Earth
Syst. Sci., 15, 985–995, https://doi.org/10.5194/nhess-15-985-2015, 2015. a
Meyer, V., Becker, N., Markantonis, V., Schwarze, R., van den Bergh, J. C. J.
M., Bouwer, L. M., Bubeck, P., Ciavola, P., Genovese, E., Green, C.,
Hallegatte, S., Kreibich, H., Lequeux, Q., Logar, I., Papyrakis, E.,
Pfurtscheller, C., Poussin, J., Przyluski, V., Thieken, A. H., and
Viavattene, C.: Review article: Assessing the costs of natural hazards –
state of the art and knowledge gaps, Nat. Hazards Earth Syst. Sci., 13,
1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, 2013. a, b, c, d
Nemry, F. and Demirel, H.: Impacts of Climate Change on Transport: A focus on
road and rail transport infrastructures, Publications Office of the European
Union, Luxembourg, https://doi.org/10.2791/15504, 2012. a
Neuhaeuser, B. and Terhorst, B.: Landslide susceptibility assessment using
“weights-of-evidence” applied to a study area at the Jurassic escarpment
(SW-Germany), Geomorphology, 86, 12–24, https://doi.org/10.1016/j.envsoft.2017.06.042,
2007. a
Pachauri, R. and Meyer, L. (Eds.): Climate Change 2014: Synthesis Report.
Contribution of Working Groups I, II and III to the Fifth Assessment Report
of the Intergovernmental Panel on Climate Change, IPCC, Geneva, Switzerland,
2014. a
Pant, R., Hall, J., and Blainey, S.: Vulnerability assessment framework for
interdependent critical infrastructures: Case-study for Great Britain's
rail network, Eur. J. Transp. Infrast., 16,
174–194, 2016. a
Pant, R., Thacker, S., Hall, J., Alderson, D., and Barr, S.: Critical
infrastructure impact assessment due to flood exposure, J. Flood Risk Manag.,
11, 22–33, https://doi.org/10.1111/jfr3.12288, 2018. a
Papathoma-Köhle, M., Gems, B., Sturm, M., and Fuchs, S.: Matrices, curves
and indicators: A review of approaches to assess physical vulnerability to
debris flows, Earth-Sci. Rev., 171, 272–288,
https://doi.org/10.1016/j.earscirev.2017.06.007, 2017. a
Petschko, H., Bell, R., and Glade, T.: Landslide inventories for reliable
susceptibility maps, Landslide Science and Practice, 1, 281–286,
https://doi.org/10.1007/978-3-642-31325-7_37, 2013a. a
Petschko, H., Bell, R., Leopold, P., Heiss, G., and Glade, T.: Landslide
Inventories for Reliable Susceptibility Maps in Lower Austria, in: Landslide
Science and Practice: Volume 1: Landslide Inventory and Susceptibility and
Hazard Zoning, edited by: Margottini, C., Canuti, P., and Sassa, K.,
281–286, Springer Berlin Heidelberg, Berlin, Heidelberg,
https://doi.org/10.1007/978-3-642-31325-7_37, 2013b. a, b
Petschko, H., Brenning, A., Bell, R., Goetz, J., and Glade, T.: Assessing the
quality of landslide susceptibility maps – case study Lower Austria, Nat.
Hazards Earth Syst. Sci., 14, 95–118,
https://doi.org/10.5194/nhess-14-95-2014, 2014. a, b
Petschko, H., Bell, R., Leopold, P., Heiss, G., and Glade, T.: Effectiveness of
visually analyzing LiDAR DTM derivatives for earth and debris slide inventory
mapping for statistical susceptibility modeling, Landslides, 13, 857–872,
https://doi.org/10.1007/s10346-015-0622-1, 2015. a, b, c
Pfurtscheller, C.: Regional economic impacts of natural hazards – the case
of the 2005 Alpine flood event in Tyrol (Austria), Nat. Hazards Earth Syst.
Sci., 14, 359–378, https://doi.org/10.5194/nhess-14-359-2014, 2014. a, b
Pfurtscheller, C. and Thieken, A. H.: The price of safety: costs for
mitigating and coping with Alpine hazards, Nat. Hazards Earth Syst. Sci., 13,
2619–2637, https://doi.org/10.5194/nhess-13-2619-2013, 2013. a, b
Pfurtscheller, C. and Vetter, M.: Assessing entrepreneurial and
regional-economic flood impacts on a globalized production facility, J. Flood
Risk Manag., 8, 329–342, https://doi.org/10.1111/jfr3.12102, 2015. a
Phillips, J. D., Schwanghart, W., and Heckmann, T.: Graph theory in the
geosciences, Earth-Sci. Rev., 143, 147–160,
https://doi.org/10.1016/j.earscirev.2015.02.002, 2015. a
Postance, B., Hillier, J., Dijkstra, T., and Dixon, N.: Extending natural
hazard impacts: an assessment of landslide disruptions on a national road
transportation network, Environ. Res. Lett., 12, 014010,
https://doi.org/10.1088/1748-9326/aa5555, 2017. a, b, c, d
Pregnolato, M., Ford, A., Wilkinson, S. M., and Dawson, R. J.: The impact of
flooding on road transport: A depth-disruption function, Transport. Res.
D-Tr. E., 55, 67–81, https://doi.org/10.1016/j.trd.2017.06.020, 2017. a, b
Proske, H. and Bauer, C.: Indicative hazard maps for landslides in Styria;
Austria, Acta Geobalcanica, 2, 93–101, https://doi.org/10.18509/AGB.2016.10, 2016. a, b, c
Python Core Developers: Python, Python Software Foundation, Delaware, US,
available at: https://www.python.org/, last access: 25 November 2018. a
QGIS Development Team: QGIS Geographic Information System, Open Source
Geospatial Foundation, available at: http://qgis.org, last access:
25 November 2018. a
R Core Team: R: A Language and Environment for Statistical Computing, R
Foundation for Statistical Computing, Vienna, Austria, available at:
https://www.R-project.org/, last access: 25 November 2018. a
Rheinberger, C. M.: A Mixed Logit Approach to Study Preferences for Safety on
Alpine Roads, Environmental and Resource Economics, 49, 121–146,
https://doi.org/10.1007/s10640-010-9427-9, 2011. a
Rheinberger, C. M., Schläpfer, F., and Lobsiger, M.: A Novel Approach to
Estimating the Demand Value of Road Safety, Nota di Lavoro 15.2017,
Fondazione Eni Enrico Mattei, Milan, Italy, 2017. a
Riley, S. J., DeGlaria, S. D., and Elliot, R.: A terrain ruggedness index that
quantifies topographic heterogeneity, Intermountain Journal of Sciences, 5,
23–27, 1999. a
Ruff, M. and Czurda, K.: Landslide susceptibility analysis with a heuristic
approach in the Eastern Alps (Vorarlberg, Austria), Geomorphology, 94,
314–324, https://doi.org/10.1016/j.geomorph.2006.10.032, 2008. a
Schlögl, M. and Laaha, G.: Extreme weather exposure identification for
road networks – a comparative assessment of statistical methods, Nat.
Hazards Earth Syst. Sci., 17, 515–531,
https://doi.org/10.5194/nhess-17-515-2017, 2017. a
Schlögl, M. and Matulla, C.: Potential future exposure of European land
transport infrastructure to rainfall-induced landslides throughout the 21st
century, Nat. Hazards Earth Syst. Sci., 18, 1121–1132,
https://doi.org/10.5194/nhess-18-1121-2018, 2018. a, b
Schmaltz, E., Steger, S., Bell, R., Glade, T., van Beek, R., Bogaard, T.,
Wang, D., Hollaus, M., and Pfeifer, N.: Evaluation of Shallow Landslides in
the Northern Walgau (Austria) Using Morphometric Analysis Techniques, Proced.
Earth Plan. Sc., 16, 177–184, https://doi.org/10.1016/j.proeps.2016.10.019, 2016. a
Schmaltz, E. M., Steger, S., and Glade, T.: The influence of forest cover on
landslide occurrence explored with spatio-temporal information,
Geomorphology, 290, 250–264, https://doi.org/10.1016/j.geomorph.2017.04.024, 2017. a, b
Schweikert, A., Chinowsky, P., Kwiatkowski, K., and Espinet, X.: The
infrastructure planning support system: Analyzing the impact of climate
change on road infrastructure and development, Transp. Policy, 35,
146–153, https://doi.org/10.1016/j.tranpol.2014.05.019, 2014. a
Seijmonsbergen, A. C.: Geomorphological evolution of an alpine area and its
application to geotechnical and natural hazard appraisal in the NW.
Rätikon mountains and S. Walgau (Vorarlberg, Austria), dissertation,
Vakgroep Fysische Geografie en Bodemkunde, Faculteit Ruimtelijke
Wetenschappen, Universiteit van Amsterdam, Amsterdam, the Netherlands, 1992. a
Slingerland, R.: Qualitative stability analysis of geologic systems, with an
example from river hydraulic geometry, Geology, 9, 491–493,
https://doi.org/10.1130/0091-7613(1981)9<491:QSAOGS>2.0.CO;2, 1981. a
Sørensen, R., Zinko, U., and Seibert, J.: On the calculation of the
topographic wetness index: evaluation of different methods based on field
observations, Hydrol. Earth Syst. Sci., 10, 101–112,
https://doi.org/10.5194/hess-10-101-2006, 2006. a
Strauch, R. L., Raymond, C. L., Rochefort, R. M., Hamlet, A. F., and Lauver,
C.: Adapting transportation to climate change on federal lands in Washington
State, U.S.A., Climatic Change, 130, 185–199,
https://doi.org/10.1007/s10584-015-1357-7, 2015. a
Tacnet, J. M., Mermet, E., Zadonina, E., Deschatres, M., Humbert, P., Dissart,
J.-C., and Labbe, S.: Road network management in the context of natural
hazards: a decision-aiding process based on multi-criteria decision making
methods and network structural properties analysis, in: International Snow
Science Workshop proceedings, 7–11 October 2013, Grenoble-Chamonix, France,
edited by: ISSW, 912–919, 2013. a
Taylor, M. A. and Susilawati: Remoteness and accessibility in the
vulnerability analysis of regional road networks, Transport. Res. A-Pol., 46,
761–771, https://doi.org/10.1016/j.tra.2012.02.008, 2012. a, b
Taylor, M. A. P., Sekhar, S. V. C., and D'Este, G. M.: Application of
Accessibility Based Methods for Vulnerability Analysis of Strategic Road
Networks, Netw. Spat. Econ., 6, 267–291,
https://doi.org/10.1007/s11067-006-9284-9, 2006. a, b, c, d
Treiber, M. and Kesting, A.: Traffic Flow Dynamics, Springer Berlin Heidelberg,
https://doi.org/10.1007/978-3-642-32460-4, 2013. a
Unterrader, S., Almond, P., and Fuchs, S.: Rockfall in the Port Hills of
Christchurch: Seismic and non-seismic fatality risk on roads, New Zeal.
Geogr., 74, 3–14, https://doi.org/10.1111/nzg.12170, 2018. a, b, c, d
van Asselen, S. and Seijmonsbergen, A.: Expert-driven semi-automated
geomorphological mapping for a mountainous area using a laser DTM,
Geomorphology, 78, 309–320, https://doi.org/10.1016/j.geomorph.2006.01.037, 2006. a
van Westen, C. J., Castellanos, E., and Kuriakose, S. L.: Spatial data for
landslide susceptibility, hazard, and vulnerability assessment: An overview,
Eng. Geol., 102, 112–131, https://doi.org/10.1016/j.enggeo.2008.03.010, 2008. a
Varnes, D.: Landslide hazard zonation: a review of principles and practice,
Eng. Geol., 102, 112–131, 1984. a
Vera Valero, C., Wever, N., Bühler, Y., Stoffel, L., Margreth, S., and
Bartelt, P.: Modelling wet snow avalanche runout to assess road safety at a
high-altitude mine in the central Andes, Nat. Hazards Earth Syst. Sci., 16,
2303–2323, https://doi.org/10.5194/nhess-16-2303-2016, 2016.
a
Wickham, H.: Tidyverse: R packages for data science, available at:
https://www.tidyverse.org/, last access: 25 November 2018. a
Winter, M. G., Shearer, B., Palmer, D., Peeling, D., Harmer, C., and Sharpe,
J.: The Economic Impact of Landslides and Floods on the Road Network,
Procedia Engineer., 143, 1425–1434, https://doi.org/10.1016/j.proeng.2016.06.168, 2016. a
Yin, H.-Y. and Xu, L.-Q.: Measuring the structural vulnerability of road
network: A network efficiency perspective, Journal of Shanghai Jiaotong
University (Science), 15, 736–742, https://doi.org/10.1007/s12204-010-1078-z, 2010. a
Yin, J., Yu, D., Yin, Z., Liu, M., and He, Q.: Evaluating the impact and risk
of pluvial flash flood on intra-urban road network: A case study in the city
center of Shanghai, China, J. Hydrol., 537, 138–145,
https://doi.org/10.1016/j.jhydrol.2016.03.037, 2016. a
Yokoyama, R., Shlrasawa, M., and Pike, R. J.: Visualizing Topography by
Openness: A New Application of Image Processing to Digital Elevation Models,
Photogramm. Eng. Rem. S., 68, 257–265, 2002. a
Zêzere, J., Pereira, S., Melo, R., Oliveira, S., and Garcia, R.: Mapping
landslide susceptibility using data-driven methods, Sci. Total
Environ., 589, 250–267, https://doi.org/10.1016/j.scitotenv.2017.02.188, 2017. a
Zieher, T., Perzl, F., Rössel, M., Rutzinger, M., Meißl, G., Markart,
G., and Geitner, C.: A multi-annual landslide inventory for the assessment of
shallow landslide susceptibility – Two test cases in Vorarlberg, Austria,
Geomorphology, 259, 40–54, https://doi.org/10.1016/j.geomorph.2016.02.008, 2016. a, b
Zischg, A., Fuchs, S., Keiler, M., and Meißl, G.: Modelling the system
behaviour of wet snow avalanches using an expert system approach for risk
management on high alpine traffic roads, Nat. Hazards Earth Syst. Sci., 5,
821–832, https://doi.org/10.5194/nhess-5-821-2005, 2005a. a
Zischg, A., Fuchs, S., Keiler, M., and Stötter, J.: Temporal variability
of damage potential on roads as a conceptual contribution towards a
short-term avalanche risk simulation, Nat. Hazards Earth Syst. Sci., 5,
235–242, https://doi.org/10.5194/nhess-5-235-2005, 2005b. a, b, c
Short summary
Landslides are destructive events, threatening the integrity of land transport systems. This paper presents how road networks are vulnerable to landslides, with emphasis on the consequences for affected road users. Results show the merits of using agent-based traffic modelling to assess the impacts of road network interruptions on rural communities by providing insights into the characteristics of the population affected and the effects on its daily routine in terms of detour costs.
Landslides are destructive events, threatening the integrity of land transport systems. This...
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