Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception
Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception
Editor(s): S. Segoni, L. Piciullo, S. L. Gariano, T. A. Bogaard, and F. Catani
This special issue focuses on landslide early warning systems (LEWSs) at both regional and local scale, with specific reference to landslides induced by rainfall and/or snowmelt. LEWSs at regional scale are used to assess the probability of landslide occurrence over a priori-defined warning zones, typically through forecasting and monitoring of meteorological variables, in order to give generalized warnings to communities and institutions working with hazard mitigation measures. Conversely, the main aim of LEWSs at a local scale is the temporary evacuation of people from areas where, at specific times, the risk level to which they are exposed can become intolerably high. The structure of LEWSs can be schematized as an interrelation of both technical and social components. The definition of these components and the aims of the alert issued may vary as a function of the scale at which the system is employed.

The special issue wishes to highlight approaches and developments regarding correlation laws, monitoring systems, models for issuing different warning levels, landslide and warning databases, landslide forecasting, weather prediction models, emergency phases, communication strategies, performance analysis of the warnings issued, and other activities necessary for designing and operating LEWSs. We expect contributions addressing the following topics:
  • operational and prototype landslide early warning systems at regional and local scale;
  • correlation models for early warning purposes;
  • landslide forecasting and warning models;
  • performance analysis of landslide warning models;
  • landslide risk management;
  • landslide risk perception.
The special issue will be open to every submission within its scope.

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30 Nov 2018
Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception
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
14 Nov 2018
Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change
Marco Uzielli, Guido Rianna, Fabio Ciervo, Paola Mercogliano, and Unni K. Eidsvig
Nat. Hazards Earth Syst. Sci., 18, 3019–3035, https://doi.org/10.5194/nhess-18-3019-2018,https://doi.org/10.5194/nhess-18-3019-2018, 2018
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16 Aug 2018
Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology
Ekrem Canli, Martin Mergili, Benni Thiebes, and Thomas Glade
Nat. Hazards Earth Syst. Sci., 18, 2183–2202, https://doi.org/10.5194/nhess-18-2183-2018,https://doi.org/10.5194/nhess-18-2183-2018, 2018
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10 Jul 2018
Application of a physically based model to forecast shallow landslides at a regional scale
Teresa Salvatici, Veronica Tofani, Guglielmo Rossi, Michele D'Ambrosio, Carlo Tacconi Stefanelli, Elena Benedetta Masi, Ascanio Rosi, Veronica Pazzi, Pietro Vannocci, Miriana Petrolo, Filippo Catani, Sara Ratto, Hervè Stevenin, and Nicola Casagli
Nat. Hazards Earth Syst. Sci., 18, 1919–1935, https://doi.org/10.5194/nhess-18-1919-2018,https://doi.org/10.5194/nhess-18-1919-2018, 2018
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20 Jun 2018
Adopting the I3R24 rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides
Lun-Wei Wei, Chuen-Ming Huang, Hongey Chen, Chyi-Tyi Lee, Chun-Chi Chi, and Chen-Lung Chiu
Nat. Hazards Earth Syst. Sci., 18, 1717–1733, https://doi.org/10.5194/nhess-18-1717-2018,https://doi.org/10.5194/nhess-18-1717-2018, 2018
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12 Jun 2018
Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback
Pratik Chaturvedi, Akshit Arora, and Varun Dutt
Nat. Hazards Earth Syst. Sci., 18, 1599–1616, https://doi.org/10.5194/nhess-18-1599-2018,https://doi.org/10.5194/nhess-18-1599-2018, 2018
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25 May 2018
The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides
Ingeborg K. Krøgli, Graziella Devoli, Hervé Colleuille, Søren Boje, Monica Sund, and Inger Karin Engen
Nat. Hazards Earth Syst. Sci., 18, 1427–1450, https://doi.org/10.5194/nhess-18-1427-2018,https://doi.org/10.5194/nhess-18-1427-2018, 2018
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17 May 2018
Rainfall threshold calculation for debris flow early warning in areas with scarcity of data
Hua-Li Pan, Yuan-Jun Jiang, Jun Wang, and Guo-Qiang Ou
Nat. Hazards Earth Syst. Sci., 18, 1395–1409, https://doi.org/10.5194/nhess-18-1395-2018,https://doi.org/10.5194/nhess-18-1395-2018, 2018
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17 May 2018
Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013
Graziella Devoli, Davide Tiranti, Roberto Cremonini, Monica Sund, and Søren Boje
Nat. Hazards Earth Syst. Sci., 18, 1351–1372, https://doi.org/10.5194/nhess-18-1351-2018,https://doi.org/10.5194/nhess-18-1351-2018, 2018
19 Apr 2018
State fusion entropy for continuous and site-specific analysis of landslide stability changing regularities
Yong Liu, Zhimeng Qin, Baodan Hu, and Shuai Feng
Nat. Hazards Earth Syst. Sci., 18, 1187–1199, https://doi.org/10.5194/nhess-18-1187-2018,https://doi.org/10.5194/nhess-18-1187-2018, 2018
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04 Apr 2018
Regional rainfall thresholds for landslide occurrence using a centenary database
Teresa Vaz, José Luís Zêzere, Susana Pereira, Sérgio Cruz Oliveira, Ricardo A. C. Garcia, and Ivânia Quaresma
Nat. Hazards Earth Syst. Sci., 18, 1037–1054, https://doi.org/10.5194/nhess-18-1037-2018,https://doi.org/10.5194/nhess-18-1037-2018, 2018
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13 Mar 2018
Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system
Samuele Segoni, Ascanio Rosi, Daniela Lagomarsino, Riccardo Fanti, and Nicola Casagli
Nat. Hazards Earth Syst. Sci., 18, 807–812, https://doi.org/10.5194/nhess-18-807-2018,https://doi.org/10.5194/nhess-18-807-2018, 2018
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09 Mar 2018
Hydrological control of large hurricane-induced lahars: evidence from rainfall-runoff modeling, seismic and video monitoring
Lucia Capra, Velio Coviello, Lorenzo Borselli, Víctor-Hugo Márquez-Ramírez, and Raul Arámbula-Mendoza
Nat. Hazards Earth Syst. Sci., 18, 781–794, https://doi.org/10.5194/nhess-18-781-2018,https://doi.org/10.5194/nhess-18-781-2018, 2018
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08 Mar 2018
Radar-based quantitative precipitation estimation for the identification of debris flow occurrence over earthquake-affected regions in Sichuan, China
Zhao Shi, Fangqiang Wei, and Venkatachalam Chandrasekar
Nat. Hazards Earth Syst. Sci., 18, 765–780, https://doi.org/10.5194/nhess-18-765-2018,https://doi.org/10.5194/nhess-18-765-2018, 2018
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01 Mar 2018
Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds
David J. Peres, Antonino Cancelliere, Roberto Greco, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018,https://doi.org/10.5194/nhess-18-633-2018, 2018
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28 Feb 2018
Physically based approaches incorporating evaporation for early warning predictions of rainfall-induced landslides
Alfredo Reder, Guido Rianna, and Luca Pagano
Nat. Hazards Earth Syst. Sci., 18, 613–631, https://doi.org/10.5194/nhess-18-613-2018,https://doi.org/10.5194/nhess-18-613-2018, 2018
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21 Feb 2018
Debris flow run-out simulation and analysis using a dynamic model
Raquel Melo, Theo van Asch, and José L. Zêzere
Nat. Hazards Earth Syst. Sci., 18, 555–570, https://doi.org/10.5194/nhess-18-555-2018,https://doi.org/10.5194/nhess-18-555-2018, 2018
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03 Jan 2018
Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000
Rodolfo M. Mendes, Márcio Roberto M. de Andrade, Javier Tomasella, Márcio Augusto E. de Moraes, and Graziela B. Scofield
Nat. Hazards Earth Syst. Sci., 18, 15–30, https://doi.org/10.5194/nhess-18-15-2018,https://doi.org/10.5194/nhess-18-15-2018, 2018
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08 Dec 2017
Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides
Roberto Greco and Luca Pagano
Nat. Hazards Earth Syst. Sci., 17, 2213–2227, https://doi.org/10.5194/nhess-17-2213-2017,https://doi.org/10.5194/nhess-17-2213-2017, 2017
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19 Oct 2017
GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events
William Frodella, Teresa Salvatici, Veronica Pazzi, Stefano Morelli, and Riccardo Fanti
Nat. Hazards Earth Syst. Sci., 17, 1779–1793, https://doi.org/10.5194/nhess-17-1779-2017,https://doi.org/10.5194/nhess-17-1779-2017, 2017
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06 Oct 2017
Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application
Emanuele Intrieri, Federica Bardi, Riccardo Fanti, Giovanni Gigli, Francesco Fidolini, Nicola Casagli, Sandra Costanzo, Antonio Raffo, Giuseppe Di Massa, Giovanna Capparelli, and Pasquale Versace
Nat. Hazards Earth Syst. Sci., 17, 1713–1723, https://doi.org/10.5194/nhess-17-1713-2017,https://doi.org/10.5194/nhess-17-1713-2017, 2017
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