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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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.
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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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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.
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Our research explores how social media can help understand public responses to floods, focusing on the 2021 Western European flood. By analysing flood-related topics on social media, we found that conversations varied depending on the location and impact of the flood, with in-disaster concerns emerging in severely affected upstream areas and post-disaster discussions in less affected regions. This shows the potential of social media for better disaster coordination along border crossing rivers.
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.
Bektaş Sari
EGUsphere, https://doi.org/10.5194/egusphere-2024-2538, https://doi.org/10.5194/egusphere-2024-2538, 2024
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After the earthquake, the Turkish Government mobilized all available resources, ensured regular information updates, and deployed a significant number of rescue personnel to the affected areas. However, the scale of this devastating disaster, resulting in the loss of over 50,000 lives, underscores the critical importance of building earthquake-resistant structures as the most effective means to mitigate such calamities.
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.
Nicole van Maanen, Joël J.-F. G. De Plaen, Timothy Tiggeloven, Maria Luisa Colmenares, Philip J. Ward, Paolo Scussolini, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-137, https://doi.org/10.5194/nhess-2024-137, 2024
Revised manuscript accepted for NHESS
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Understanding coastal flood protection is vital for assessing risks from natural disasters and climate change. However, current global data on coastal flood protection is limited and based on simplified assumptions, leading to potential uncertainties in risk estimates. As a step in this direction, we propose a comprehensive dataset, COASTPROS-EU, which compiles coastal flood protection standards in Europe.
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.
Ilyas Masih
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-163, https://doi.org/10.5194/nhess-2024-163, 2024
Revised manuscript accepted for NHESS
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This study evaluates twelve drought policy and planning guidelines for their alignment with the four priority areas of the SENDAI Framework. The guidelines do not align very well with the contemporary disaster risk reduction agenda. The study highlights strengths, weaknesses, opportunities and threats, and provides useful insights to develop next generation of drought guidelines.
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.
Mansi Nagpal, Jasmin Heilemann, Luis Samaniego, Bernd Klauer, Erik Gawel, and Christian Klassert
EGUsphere, https://doi.org/10.5194/egusphere-2024-2585, https://doi.org/10.5194/egusphere-2024-2585, 2024
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This study measures the direct effects of droughts in association with other extreme weather events on agriculture in Germany at district level. Using a statistical yield model, we quantify the direct impact of extremes on crop yields and farm revenues. Extreme events during drought cause an average annual damage of €781 million, accounting for 45 % of reported revenue losses. The insights can help develop better strategies for managing and mitigating the effects of future climate extremes.
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.
Anna Buch, Dominik Paprotny, Kasra Rafiezadeh Shahi, Heidi Kreibich, and Nivedita Sairam
EGUsphere, https://doi.org/10.5194/egusphere-2024-2340, https://doi.org/10.5194/egusphere-2024-2340, 2024
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Many households in Vietnam depend on revenues from microbusinesses (shop-houses). However, losses caused by regular flooding to the microbusinesses are not modelled. Business turnover, building age and water depth are found to be the main drivers of flood losses to microbusinesses. We built and validated probabilistic models (Non-parametric Bayesian Networks) that estimate flood losses to microbusinesses. The results help in flood risk management and adaption decision making for microbusinesses.
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).
Pujun Liang, Jie Yin, Dandan Wang, Yi Lu, Yuhan Yang, Dan Gao, and Jianfeng Mai
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-88, https://doi.org/10.5194/nhess-2024-88, 2024
Revised manuscript accepted for NHESS
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Addressing coastal city flood risks, this article examines relief logistics planning, employing a GIS-network analysis and optimization model to minimize costs and dissatisfaction. The investigation, grounded in Shanghai's emergency infrastructure and flood relief logistics framework, presents feasible distribution strategies. Meanwhile, the case study indicates that the supply levels of Emergency Flood Shelters and Emergency Reserve Warehouses vary in different coastal flood scenarios.
Silvia De Angeli, Lorenzo Villani, Giulio Castelli, Maria Rusca, Giorgio Boni, Elena Bresci, and Luigi Piemontese
EGUsphere, https://doi.org/10.5194/egusphere-2024-2207, https://doi.org/10.5194/egusphere-2024-2207, 2024
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Despite droughts are deeply intertwined within sociohydrological systems, traditional top-down approaches often ignore those directly affected. By integrating insights from five research fields, we present a framework to guide the co-creation of knowledge for drought impact assessment. Emphasizing social dynamics and power imbalances, the framework guides a more inclusive approach to drought assessment and adaptation.
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.
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.
Nimra Iqbal, Marvin Ravan, Zina Mitraka, Joern Birkmann, Sue Grimmond, Denise Hertwig, Nektarios Chrysoulakis, Giorgos Somarakis, and Angela Wendnagel-Beck
EGUsphere, https://doi.org/10.5194/egusphere-2024-1907, https://doi.org/10.5194/egusphere-2024-1907, 2024
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This work deepens the understanding of how perceived heat stress, human vulnerability (e.g. age, income) and adaptive capacities (e.g. green, shaded spaces) are coupled with urban structures. The results show that perceived heat stress decreases with distance from urban center, however, human vulnerability and adaptive capacities depend stronger on inner-variations and differences between urban structures. Planning policies and adaptation strategies should account for these differences.
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.
Alessa Truedinger, Joern Birkmann, Mark Fleischhauer, and Celso Ferreira
EGUsphere, https://doi.org/10.5194/egusphere-2024-1607, https://doi.org/10.5194/egusphere-2024-1607, 2024
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In post-disaster reconstruction, emphasis should be placed on critical and sensitive infrastructures. In Germany as in other countries, sensitive infrastructures have not yet been focused on – therefore, we developed a method for determining the risk sensitive infrastructures are facing in the context of riverine and pluvial flooding. The easy-to-use assessment framework can be applied to various sensitive infrastructures, e.g. to qualify and accelerate decisions in the reconstruction process.
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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