Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-103-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-103-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Jan 2016
Research article |
| 18 Jan 2016
Assessing the performance of regional landslide early warning models: the EDuMaP method
M. Calvello
Department of Civil Engineering, University of Salerno, Fisciano, Italy
Department of Civil Engineering, University of Salerno, Fisciano, Italy
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Luca Piciullo, Mads-Peter Dahl, Graziella Devoli, Hervé Colleuille, and Michele Calvello
Nat. Hazards Earth Syst. Sci., 17, 817–831, https://doi.org/10.5194/nhess-17-817-2017, https://doi.org/10.5194/nhess-17-817-2017, 2017
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The landslide early warning system operational in Norway is managed, since 2013, by the NVE and has been designed for monitoring and forecasting the hydrometeorological conditions potentially triggering slope failures. Daily alerts are issued throughout the country considering variable size warning zones. The performance of the warnings issued is evaluated through the adapted EDuMaP method. Different performance results are observed as a function of the landslide density criterion use.
Samuele Segoni, Luca Piciullo, and Stefano Luigi Gariano
Nat. Hazards Earth Syst. Sci., 18, 3179–3186, https://doi.org/10.5194/nhess-18-3179-2018, https://doi.org/10.5194/nhess-18-3179-2018, 2018
Luca Piciullo, Mads-Peter Dahl, Graziella Devoli, Hervé Colleuille, and Michele Calvello
Nat. Hazards Earth Syst. Sci., 17, 817–831, https://doi.org/10.5194/nhess-17-817-2017, https://doi.org/10.5194/nhess-17-817-2017, 2017
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The landslide early warning system operational in Norway is managed, since 2013, by the NVE and has been designed for monitoring and forecasting the hydrometeorological conditions potentially triggering slope failures. Daily alerts are issued throughout the country considering variable size warning zones. The performance of the warnings issued is evaluated through the adapted EDuMaP method. Different performance results are observed as a function of the landslide density criterion use.
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Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
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Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-94, https://doi.org/10.5194/nhess-2023-94, 2023
Revised manuscript accepted for NHESS
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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 Asia country. Population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
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Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
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Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
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This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
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Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, and Nima Talebian
Nat. Hazards Earth Syst. Sci., 23, 1529–1547, https://doi.org/10.5194/nhess-23-1529-2023, https://doi.org/10.5194/nhess-23-1529-2023, 2023
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Disaster risk reduction requires public power. The aim of this study is to investigate the factors influencing the public's intention to participate in disaster risk reduction. An empirical study was conducted using structural equation modeling data analysis methods. The findings show that public attitudes, perceptions of those around them, ability to participate, and sense of participation are important factors.
Di Wang, Ming Wang, Kai Liu, and Jun Xie
Nat. Hazards Earth Syst. Sci., 23, 1409–1423, https://doi.org/10.5194/nhess-23-1409-2023, https://doi.org/10.5194/nhess-23-1409-2023, 2023
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The short–medium-term intervention effect on the post-earthquake area was analysed by simulations in different scenarios. The sediment transport patterns varied in different sub-regions, and the relative effectiveness in different scenarios changed over time with a general downward trend, where the steady stage implicated the scenario with more facilities performing better in controlling sediment output. Therefore, the simulation methods could support optimal rehabilitation strategies.
Marcos Roberto Benso, Gabriela Chiquito Gesualdo, Roberto Fray Silva, Greicelene Jesus Silva, Luis Miguel Castillo Rápalo, Fabricio Alonso Richmond Navarro, Patricia Angélica Alves Marques, José Antônio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 23, 1335–1354, https://doi.org/10.5194/nhess-23-1335-2023, https://doi.org/10.5194/nhess-23-1335-2023, 2023
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This article is about how farmers can better protect themselves from disasters like droughts, extreme temperatures, and floods. The authors suggest that one way to do this is by offering insurance contracts that cover these different types of disasters. By having this insurance, farmers can receive financial support and recover more quickly. The article elicits different ideas about how to design this type of insurance and suggests ways to make it better.
Shivani Chouhan and Mahua Mukherjee
Nat. Hazards Earth Syst. Sci., 23, 1267–1286, https://doi.org/10.5194/nhess-23-1267-2023, https://doi.org/10.5194/nhess-23-1267-2023, 2023
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The Himalayas are prone to multi-hazards. To minimise loss, proper planning and execution are necessary. Data collection is the basis of any risk assessment process. This enhanced survey form is easy to understand and pictorial and identifies high-risk components of any building (structural and non-structural) surrounded by multi-hazards. Its results can help to utilise the budget in a prioritised way. A SWOT (strengths, weaknesses, threats and opportunities) analysis has been performed.
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 23, 1125–1138, https://doi.org/10.5194/nhess-23-1125-2023, https://doi.org/10.5194/nhess-23-1125-2023, 2023
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Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
Annegret H. Thieken, Philip Bubeck, Anna Heidenreich, Jennifer von Keyserlingk, Lisa Dillenardt, and Antje Otto
Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, https://doi.org/10.5194/nhess-23-973-2023, 2023
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In July 2021 intense rainfall caused devastating floods in western Europe with 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling their warning system into question. An online survey revealed that 35 % of respondents from NW and 29 % from RP did not receive any warning. Many of those who were warned did not expect severe flooding, nor did they know how to react. The study provides entry points for improving Germany's warning system.
Blaise Mafuko Nyandwi, Matthieu Kervyn, François Muhashy Habiyaremye, François Kervyn, and Caroline Michellier
Nat. Hazards Earth Syst. Sci., 23, 933–953, https://doi.org/10.5194/nhess-23-933-2023, https://doi.org/10.5194/nhess-23-933-2023, 2023
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Risk perception involves the processes of collecting, selecting and interpreting signals about the uncertain impacts of hazards. It may contribute to improving risk communication and motivating the protective behaviour of the population living near volcanoes. Our work describes the spatial variation and factors influencing volcanic risk perception of 2204 adults of Goma exposed to Nyiragongo. It contributes to providing a case study for risk perception understanding in the Global South.
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley
Nat. Hazards Earth Syst. Sci., 23, 909–931, https://doi.org/10.5194/nhess-23-909-2023, https://doi.org/10.5194/nhess-23-909-2023, 2023
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Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
Carlos Mesta, Gemma Cremen, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 23, 711–731, https://doi.org/10.5194/nhess-23-711-2023, https://doi.org/10.5194/nhess-23-711-2023, 2023
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Flood risk is expected to increase in many regions worldwide due to rapid urbanization and climate change. The benefits of risk-mitigation measures remain inadequately quantified for potential future events in some multi-hazard-prone areas such as Kathmandu Valley (KV), Nepal, which this paper addresses. The analysis involves modeling two flood occurrence scenarios and using four residential exposure inventories representing current urban system or near-future development trajectories for KV.
Kirk B. Enu, Aude Zingraff-Hamed, Mohammad A. Rahman, Lindsay C. Stringer, and Stephan Pauleit
Nat. Hazards Earth Syst. Sci., 23, 481–505, https://doi.org/10.5194/nhess-23-481-2023, https://doi.org/10.5194/nhess-23-481-2023, 2023
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In sub-Saharan Africa, there is reported uptake of at least one nature-based solution (NBS) in 71 % of urban areas in the region for mitigating hydro-meteorological risks. These NBSs are implemented where risks exist but not where they are most severe. With these NBSs providing multiple ecosystem services and four out of every five NBSs creating livelihood opportunities, NBSs can help address major development challenges in the region, such as water and food insecurity and unemployment.
Madeleine-Sophie Déroche
Nat. Hazards Earth Syst. Sci., 23, 251–259, https://doi.org/10.5194/nhess-23-251-2023, https://doi.org/10.5194/nhess-23-251-2023, 2023
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This paper proves the need to conduct an in-depth review of the existing loss modelling framework and makes it clear that only a transdisciplinary effort will be up to the challenge of building global loss models. These two factors are essential to capture the interactions and increasing complexity of the three risk drivers (exposure, hazard, and vulnerability), thus enabling insurers to anticipate and be equipped to face the far-ranging impacts of climate change and other natural events.
May Laor and Zohar Gvirtzman
Nat. Hazards Earth Syst. Sci., 23, 139–158, https://doi.org/10.5194/nhess-23-139-2023, https://doi.org/10.5194/nhess-23-139-2023, 2023
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This study aims to provide a practical and relatively fast solution for early-stage planning of marine infrastructure that must cross a faulted zone. Instead of investing huge efforts in finding whether each specific fault meets a pre-defined criterion of activeness, we map the subsurface and determine the levels of fault hazard based on the amount of displacement and the fault's plane size. This allows for choosing the least problematic infrastructure routes at an early planning stage.
Ruth Stephan, Stefano Terzi, Mathilde Erfurt, Silvia Cocuccioni, Kerstin Stahl, and Marc Zebisch
Nat. Hazards Earth Syst. Sci., 23, 45–64, https://doi.org/10.5194/nhess-23-45-2023, https://doi.org/10.5194/nhess-23-45-2023, 2023
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This study maps agriculture's vulnerability to drought in the European pre-Alpine regions of Thurgau (CH) and Podravska (SI). We combine region-specific knowledge with quantitative data mapping; experts of the study regions, far apart, identified a few common but more region-specific factors that we integrated in two vulnerability scenarios. We highlight the benefits of the participatory approach in improving the quantitative results and closing the gap between science and practitioners.
Lorenzo Cugliari, Massimo Crescimbene, Federica La Longa, Andrea Cerase, Alessandro Amato, and Loredana Cerbara
Nat. Hazards Earth Syst. Sci., 22, 4119–4138, https://doi.org/10.5194/nhess-22-4119-2022, https://doi.org/10.5194/nhess-22-4119-2022, 2022
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The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting the study of tsunami risk perception in Italy since 2018. A total of 7342 questionnaires were collected in three survey phases (2018, 2020, 2021). In this work we present the main results of the three survey phases, with a comparison among the eight surveyed regions and between the coastal regions and some coastal metropolitan cities involved in the survey.
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
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This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci., 22, 3815–3829, https://doi.org/10.5194/nhess-22-3815-2022, https://doi.org/10.5194/nhess-22-3815-2022, 2022
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Andrea Taramelli, Margherita Righini, Emiliana Valentini, Lorenzo Alfieri, Ignacio Gatti, and Simone Gabellani
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, https://doi.org/10.5194/nhess-22-3543-2022, https://doi.org/10.5194/nhess-22-3543-2022, 2022
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This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provide new insights into vulnerability spatialization of urban flood events for the residential sector, demonstrating that the nature of flood pathways varies spatially and is influenced by landscape characteristics, as well as building features.
Pauline Brémond, Anne-Laurence Agenais, Frédéric Grelot, and Claire Richert
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, https://doi.org/10.5194/nhess-22-3385-2022, https://doi.org/10.5194/nhess-22-3385-2022, 2022
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It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. For this, we propose a methodological framework and apply it to the model we have developed to assess damage to agriculture. This improves the description, validation, transferability and updatability of models based on expert knowledge.
Wenwu Gong, Jie Jiang, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 3271–3283, https://doi.org/10.5194/nhess-22-3271-2022, https://doi.org/10.5194/nhess-22-3271-2022, 2022
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We propose a model named variable fuzzy set and information diffusion (VFS–IEM–IDM) to assess the dynamic risk of compound hazards, which takes into account the interrelations between the hazard drivers, deals with the problem of data sparsity, and considers the temporal dynamics of the occurrences of the compound hazards. To examine the efficacy of the proposed VFS–IEM–IDM model, a case study of typhoon–rainstorm risks in Shenzhen, China, is presented.
Sanish Bhochhibhoya and Roisha Maharjan
Nat. Hazards Earth Syst. Sci., 22, 3211–3230, https://doi.org/10.5194/nhess-22-3211-2022, https://doi.org/10.5194/nhess-22-3211-2022, 2022
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This is a comprehensive approach to risk assessment that considers the dynamic relationship between loss and damage. The study combines physical risk with social science to mitigate the disaster caused by earthquakes in Nepal, taking socioeconomical parameters into account such that the risk estimates can be monitored over time. The main objective is to recognize the cause of and solutions to seismic hazard, building the interrelationship between individual, natural, and built-in environments.
Lennart Marien, Mahyar Valizadeh, Wolfgang zu Castell, Christine Nam, Diana Rechid, Alexandra Schneider, Christine Meisinger, Jakob Linseisen, Kathrin Wolf, and Laurens M. Bouwer
Nat. Hazards Earth Syst. Sci., 22, 3015–3039, https://doi.org/10.5194/nhess-22-3015-2022, https://doi.org/10.5194/nhess-22-3015-2022, 2022
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Myocardial infarctions (MIs; heart attacks) are influenced by temperature extremes, air pollution, lack of green spaces and ageing population. Here, we apply machine learning (ML) models in order to estimate the influence of various environmental and demographic risk factors. The resulting ML models can accurately reproduce observed annual variability in MI and inter-annual trends. The models allow quantification of the importance of individual factors and can be used to project future risk.
Annette Sophie Bösmeier, Iso Himmelsbach, and Stefan Seeger
Nat. Hazards Earth Syst. Sci., 22, 2963–2979, https://doi.org/10.5194/nhess-22-2963-2022, https://doi.org/10.5194/nhess-22-2963-2022, 2022
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Encouraging a systematic use of flood marks for more comprehensive flood risk management, we collected a large number of marks along the Kinzig, southwestern Germany, and tested them for plausibility and temporal continuance. Despite uncertainty, the marks appeared to be an overall consistent and practical source that may also increase flood risk awareness. A wide agreement between the current flood hazard maps and the collected flood marks moreover indicated a robust local hazard assessment.
Cited articles
Aleotti, P.: A warning system for rainfall-induced shallow failures, Eng.
Geol., 73, 247–265, 2004.
Baum, R. L. and Godt, J. W.: Early warning of rainfall-induced shallow
landslides and debris flows in the USA, Landslides, 7, 259–272, 2010.
Bell, R., Thiebes, B., Glade, T., Vinogradov, R., Kuhlmann, H., Schauerte,
W., Burghaus, S., Krummel, H., Janik, M., and Paulsen, H.: The technical
concept within the Integrative Landslide Early Warning System (ILEWS),
landslides and engineered slopes, from the past to the future, in:
Proceedings of the 10th International Symposium on Landslides and Engineered
Slopes, 30 June–4 July 2008, Xi'an, China, 1083–1088, 2008.
Berti, M., Martina, M. L. V., Franceschini, S., Pignone, A., Simoni, A., and
Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence
using a Bayesian approach, J. Geophys. Res., 117, F04006, https://doi.org/10.1029/2012JF002367, 2012.
Blikra, L. H.: The Åknes rockslide: monitoring, threshold values and
early-warning, in: Landslides and Engineered Slopes, edited by: Chen, Z.,
Zhang, J. M., Ho, K., Wu, F. Q., and Li, Z. K., Taylor & Francis Group,
London, 1089–1094, 2008.
Calvello, M., d'Orsi, R., Piciullo, L., Paes, N. M., Magalhaes, M. A.,
Coelho, R., and Lacerda, W. A.: The community-based alert and alarm system
for rainfall induced landslides in Rio de Janeiro, Brazil, in: Engineering
Geology for Society and Territory “Landslide Processes”, Proc. XII Int. IAEG
Congress, Torino, Italy, 2, 653–657, https://doi.org/10.1007/978-3-319-09057-3_109, 2015a.
Calvello, M., d'Orsi, R. N., Piciullo, L., Paes, N., Magalhaes, M., and
Lacerda, W. A.: The Rio de Janeiro early warning system for rainfall-induced
landslides: analysis of performance for the years 2010–2013, Int.
J. Disast. Risk Reduc., 12, 3–15, 2015b.
Cannon, S., Boldt, E., Laber, J., Kean, J., and Staley, D.: Rainfall
intensity–duration thresholds for postfire debris-flow emergency response
planning, Nat. Hazards, 59, 209–236, 2011.
Capparelli, G. and Tiranti, D.: Application of the MoniFLaIR early warning system
for rainfall induced landslides in Piedmont region (Italy), Landslides, 7, 401–410, 2010.
Chan, R. K. S. and Pun, W. K.: Landslip warning system in Hong Kong, Geotec.
Instrum. News, 22, 33–35, 2004.
Cheung, P. Y., Wong, M. C., and Yeung, H. Y.: Application of rainstorm
nowcast to real-time warning of landslide hazards in Hong Kong, in: WMO PWS,
Workshop on Warnings of Real-Time Hazards by Using Nowcasting Technology,
9–13 October 2006, Sydney, Australia, 2006.
Chleborad, A. F.: A Method for Anticipating the Occurrence of Precipitation
induced Landslides in Seattle, Washington, US Geological Survey, Open-File
Report 00-469, US Geological Survey, Denver, USA, 29 pp., 2000.
Chleborad, A. F., Baum, R. L., and Godt, J. W.: A prototype system for
forecasting landslides in the Seattle, Washington, Area. in: Engineering
Geology and Landslides of the Seattle, Washington, Area: Geological Society
of America Reviews in Engineering Geology, edited by: Highland, L. M., Baum,
R. L., and Godt, J. W., Geological Society of America, Boulder, 103–120, 2008.
Coelho Netto, A. L., Avelar, A. S., Fernandes, M. C., and Lacerda, W. A.:
Landslide susceptibility in a mountainous geoecosystem, Tijuca Massif, Rio de
Janeiro: The role of morphometric subdivision of the terrain, Geomorphology,
87, 120–131, https://doi.org/10.1016/j.geomorph.2006.03.041, 2007.
Devoli, G., Ingeborg, K., Monica, S., Nils-Kristian, O., Ragnar, E., Erik,
J., and Hervé, C.: Landslide early warning system and web tools for
real-time scenarios and for distribution of warning messages in Norway, in:
Engineering Geology for Society and Territory “Landslide Processes”,
Proc. XII Int. IAEG Congress, Torino, Italy, 625–629, https://doi.org/10.1007/978-3-319-09057-3_104, 2015.
DGR: n. 2312 del 27/12/2007, Deliberazione di Giunta Regionale dell'Umbria:
Disposizioni in attuazione dell'art, 3 bis della Legge 100/2012 e della
Direttiva del Presidente del Consiglio dei Ministri del 27.02.2004 – Sistema
di Allertamento Regionale e Centro Funzionale Regionale, Umbria, Italy, 2007.
DGR: n. 895 del 29/18/2013, Deliberazione di Giunta Regionale della Toscana:
Sistema di Allertamento Regionale e Centro Funzionale Regionale, Bollettino
ufficiale della regione Toscana, n. 46 del 13/11/2013, Toscana, Italy, 2013.
DGR: n. 395 del 7/04/2015, Deliberazione di Giunta Regionale della Toscana:
Sistema di Allertamento Regionale e Centro Funzionale Regionale, Bollettino
ufficiale della regione Toscana, n. 15 del 15/4/2015, Toscana, Italy, 2015.
Di Biagio, E. and Kjekstad, O.: Early Warning, Instrumentation and Monitoring
Landslides, in: Proceedings of the 2nd Regional Training Course, RECLAIM II,
29 January–2 February 2007, Phuket, Thailand, 2007.
d'Orsi, R. N.: Landslide risk reduction measures by the Rio de Janeiro city
government, in: Improving the Assessment of Disaster Risks to Strengthen
Financial Resilience, Special Joint G20 Publication, Government of Mexico
and World Bank, 77–91, available at: http://www.preventionweb.net/english/professional/publications/v.php?id=29011
(last access: 6 October 2015), 2012.
d'Orsi, R. N., D'Avila, C., Ortigao, J. A. R., Moraes, L., and Santos, M.
D.: Rio-Watch: the Rio de Janeiro landslide watch, in: Proceedings of the
2nd PSL Pan-Am Symposium on Landslides, Rio de Janeiro, Brazil, 21–30, 1997.
d'Orsi, R. N., Feijó, R. L., and Paes, N. M.: 2,500 Operational days of
Alerta Rio system: history and technical improvements of Rio de Janeiro
warning system for severe weather, in: Landslides: Evaluation and
Stabilization, edited by: Lacerda, W. A., Ehrlich, M., Fontoura, S. A. B.,
and Sayao, A. S. F., Taylor & Francis Group, London, 831–836, 2004.
DPCM: 27/02/2004, Direttiva Presidente Consiglio dei Ministri: Indirizzi
operativi per la gestione operativa e funzionale del sistema di allertamento
nazionale, statale e regionale per il rischio idrogeologico ed idraulico ai
fini di protezione civile, in: Gazzetta Ufficiale n. 59 del 11/03/2004,
Roma, Italy, 2004.
DPGR: n. 299 del 30/06/2005, Decreto del Presidente della
Giunta Regionale della Campania: Il Sistema di Allertamento Regionale per il
rischio Idrogeologico e Idraulico ai fini di protezione civile, Bollettino
ufficiale della regione Campania, n. speciale 01/08/2005, Campania, Italy, 2005.
DPRS: n. 626/GAB del 30/10/2014, Direttiva del Presidente della Regione
Siciliana: Competenze, struttura organizzativa e procedure di allertamento
del Centro Funzionale Decentrato Multirischio Integrato della Regione
Siciliana – Settore IDRO, Sicilia, Italy, 2014.
Fell, R., Ho, K. K. S., Lacasse, S., and Leroi, E.: A framework for
landslide risk assessment and management, in: Landslide Risk Management,
edited by: Hungr, O., Fell, R., Couture, R., and Eberhardt, E., Taylor and
Francis, London, 3–26, 2005.
Gariano, S. L., Brunetti, M. T., Iovine, G., Melillo, M., Peruccacci, S.,
Terranova, O., Vennari, C., and Guzzetti, F.: Calibration and validation of
rainfall thresholds for shallow landslide forecasting in Sicily, southern
Italy, Geomorphology, 228, 653–665, 2015.
Glade, T. and Nadim, F.: Early warning systems for natural hazards and
risks, Nat. Hazards, 70, 1669–1671, 2014.
Godt, J. W., Baum, R. L., and Chleborad, A. F.: Rainfall characteristics for
shallow landsliding in Seattle, Washington, USA, Earth Surf. Proc. Land.,
31, 97–110, 2006.
Greco, R., Giorgio, M., Capparelli, G., and Versace, P.: Early warning of
rainfall-induced landslides based on empirical mobility function predictor,
Eng. Geol., 153, 68–79, 2013.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: Rainfall
thresholds for the initiation of landslides in central and southern Europe,
Meteorol. Atmos. Phys., 98, 239–67, 2007.
Hyogo Framework for Action 2005–2015: Building the Resilience of Nations
and Communities to Disasters, World Conference on Disaster Reduction
18–22 January 2005, Kobe, Hyogo, Japan, 22 pp., 2005.
International Centre of Geohazards: Guidelines for landslide monitoring and
early warning systems in Europe – design and required technology, in:
Project SafeLand “Living With Landslide Risk in Europe: Assessment, Effects
of Global Change, and Risk Management Strategies”, D4.8,
http://www.safeland-fp7.eu (last access: April 2015), 2012.
Intrieri, E., Gigli, G., Mugnai, F., Fanti, R., and Casagli, N.: Design and
implementation of a landslide early warning system, Eng. Geol., 147/148, 124–136, 2012.
Intrieri, E., Gigli, G., Casagli, N., and Nadim, F.: Brief communication
“Landslide Early Warning System: toolbox and general concepts”, Nat.
Hazards Earth Syst. Sci., 13, 85–90, https://doi.org/10.5194/nhess-13-85-2013, 2013.
Keefer, D. K., Wilson, R. C., Mark, R. K., Brabb, E. E., Brown III, W. M.,
Ellen, S. D., Harp, E. L., Wieczoreck, G. F., Alger, C. S., and Zatkin, R.
S.: Real-time landslide warning during heavy rainfall, Science, 238, 921–926, 1987.
Kirschbaum, D. B., Adler, R., Hong, Y., Kumar, S., Peters-Lidard, C., and
Lerner-Lam, A.: Advances in landslide nowcasting: evaluation of a global and
regional modeling approach, Environ. Earth Sci., 66, 1683–1696, https://doi.org/10.1007/s12665-011-0990-3, 2012.
Lagomarsino, D., Segoni, S., Fanti, R., and Catani, F.: Updating and tuning
a regional-scale landslide early warning system, Landslides, 10, 91–97, 2013.
Lagomarsino, D., Segoni, S., Rosi, A., Rossi, G., Battistini, A., Catani,
F., and Casagli, N.: Quantitative comparison between two different
methodologies to define rainfall thresholds for landslide forecasting, Nat.
Hazards Earth Syst. Sci., 15, 2413–2423, https://doi.org/10.5194/nhess-15-2413-2015, 2015.
Lollino, G., Arattano, M., and Cuccureddu, M.: The use of the automatic
inclinometric system for landslide early warning: the case of Cabella Ligure
(North-Western Italy), Phys. Chem. Earth, 27, 1545–1550, 2002.
Martelloni, G., Segoni, S., Fanti, R., and Catani, F.: Rainfall thresholds
for the forecasting of landslide occurrence at regional scale, Landslides,
9, 485–495, 2012.
Maskrey, A.: Report on National and Local Capabilities for Early Warning,
IDNDR Early Warning Programme, available at: http://www.unisdr.org/2006/ppew/whats-ew/pdf/national-and-local-capabilities-ew-maskrey.pdf
last access: 15 July 2015, IDNDR Secretariat, Geneva, 33 pp., 1997.
Michoud, C., Bazin, S., Blikra, L. H., Derron, M.-H., and Jaboyedoff, M.:
Experiences from site-specific landslide early warning systems, Nat. Hazards
Earth Syst. Sci., 13, 2659–2673, https://doi.org/10.5194/nhess-13-2659-2013, 2013.
NOAA-USGS Debris Flow Task Force: NOAA-USGS Debris-Flow Warning System,
Final report, US Geological Survey Circular 1283, available at:
http://pubs.usgs.gov/circ/2005/1283/pdf/Circular1283.pdf, last access:
November 2014, US Geological Survey, Reston, Virginia, USA, 47 pp., 2005.
Osanai, N., Shimizu, T., Kuramoto, K., Kojima, S., and Noro, T.: Japanese
early-warning for debris flows and slope failures using rainfall indices
with Radial Basis Function Network, Landslides, 7, 325–338, 2010.
Peres, D. J. and Cancelliere, A.: Development of rainfall thresholds for
landslide early warning in Sicily: a method based on the use of rainfall
annual maxima series, Rend. Online Soc. Geol. It., 21, 580–582, 2012.
Restrepo, P., Jorgensen, D. P., Cannon, S. H., Costa, J., Laber, J., Major,
J., Martner, B., Purpura, J., and Werner, K.: Joint NOAA/NWS/USGS prototype
debris flow warning system for recently burned areas in southern California,
B. Am. Meteorol. Soc., 89, 1845, https://doi.org/10.1175/2008BAMS2416.1, 2008.
Rossi, M., Peruccacci, S., Brunetti, M. T., Marchesini, I., Luciani, S.,
Ardizzone, F., Balducci, V., Bianchi, C., Cardinali, M., Fiorucci, F.,
Mondini, A. C., Reichenbach, P., Salvati, P., Santangelo, M., Bartolini, D.,
Gariano, S. L., Palladino, M., Vessia, G., Viero, A., Antronico, L.,
Borselli, L., Deganutti, A. M., Iovine, G., Luino, F., Parise, M., Polemio,
M., and Guzzetti, F.: SANF: National warning system for rainfall-induced
landslides in Italy, in: Landslides and Engineered Slopes: Protecting
Society through Improved Understanding, edited by: Eberhardt, E., Froese,
C., Turner, K., and Leroueil, S., Taylor & Francis, London, 1895–1899, 2012.
Segoni, S., Rossi, G., Rosi, A., and Catani, F.: Landslides triggered by
rainfall: a semiautomated procedure to define consistent intensity-duration
thresholds, Comput. Geosci., 3063, 123–131, 2014.
Segoni, S., Battistini, A., Rossi, G., Rosi, A., Lagomarsino, D., Catani,
F., Moretti, S., and Casagli, N.: Technical Note: An operational landslide
early warning system at regional scale based on space–time-variable
rainfall thresholds, Nat. Hazards Earth Syst. Sci., 15, 853–861,
https://doi.org/10.5194/nhess-15-853-2015, 2015.
Stähli, M., Sättele, M., Huggel, C., McArdell, B. W., Lehmann, P.,
Van Herwijnen, A., Berne, A., Schleiss, M., Ferrari, A., Kos, A., Or, D.,
and Springman, S. M.: Monitoring and prediction in early warning systems for
rapid mass movements, Nat. Hazards Earth Syst. Sci., 15, 905–917,
https://doi.org/10.5194/nhess-15-905-2015, 2015.
Staley, D. M., Kean, J. W., Cannon, S. H., Schmidt, K. M., and Laber, J. L.:
Objective definition of rainfall intensity–duration thresholds for the
initiation of post-fire debris flows in southern California, Landslides, 10,
547–562, https://doi.org/10.1007/s10346-012-0341-9, 2013.
Thiebes, B., Glade, T., and Bell, R.: Landslide analysis and integrative
early warning-local and regional case studies, in: Landslides and Engineered
Slopes: Protecting Society through Improved Understanding, edited by:
Eberhardt, E., Taylor & Francis Group, London, 1915–1921, 2012.
Thiebes, B., Bell, R., Glade, T., Jäger, S., Mayer, J., Anderson, M.,
and Holcombe, L.: Integration of a limit-equilibrium model into a landslide
early warning system, Landslides, 11, 859–875, https://doi.org/10.1007/s10346-013-0416-2, 2013a.
Thiebes, B., Glade, T., and Bell, R.: Landslide analysis and integrative
early warning local and regional case studies, in: Landslides and Engineered
Slopes, edited by: Eberhardt, E., Froese, C. R., Turner, A. K., and
Leroueil, S., Taylor & Francis Group, London, 1915–1921, 2013b.
Tiranti, D. and Rabuetti, D.: Estimation of rainfall thresholds triggering
shallow landslides for an operational warning system implementation,
Landslides, 7, 471–481, 2010.
Villagrán de León, J. C., Pruessner, I., and Breedlove, H.: Alert
and Warning Frameworks in the Context of Early Warning Systems, a
Comparative Review, Intersections No. 12, United Nations University
Institute for Environment and Human Security, Bonn, 2013.
Wilson, R. C.: The rise and fall of a debris-flow warning system for the San
Francisco Bay Region, California, in: Landslide Hazard and Risk, edited by:
Glade, T., Anderson, M., and Crozier, M. J., Wiley, New York, 493–516, 2004.
Yu, Y. F., Lam, J. S., and Siu, C. K.: Interim Report on Review of Landslip
Warning Criteria, Special Projects Division, Special Project Report 4/2003,
Geotechnical Engineering Office, Civil Engineering Department, SAR Government,
Hong Kong, 20 pp., 2003.
Short summary
An original approach, called EDuMaP method, is proposed to assess the performance of landslide early warning models operating at regional scale. EDuMaP comprises three successive steps: definition and temporal analysis of warning and landslide events (E); computation of a duration matrix (DuMa); evaluation of the warning model performance (P). The EDuMaP method may be easily adapted to evaluate the performance of regional early warning models addressing other hazardous phenomena.
An original approach, called EDuMaP method, is proposed to assess the performance of landslide...
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