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NHESS | Articles | Volume 19, issue 1
Nat. Hazards Earth Syst. Sci., 19, 93–105, 2019
https://doi.org/10.5194/nhess-19-93-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-93-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 19, 93–105, 2019
https://doi.org/10.5194/nhess-19-93-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-93-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article 14 Jan 2019
Research article | 14 Jan 2019
Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China
Ke Zhang et al.
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Geosci. Model Dev., 12, 4309–4346, https://doi.org/10.5194/gmd-12-4309-2019, https://doi.org/10.5194/gmd-12-4309-2019, 2019
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Marcos Longo, Ryan G. Knox, David M. Medvigy, Naomi M. Levine, Michael C. Dietze, Yeonjoo Kim, Abigail L. S. Swann, Ke Zhang, Christine R. Rollinson, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
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Marcos Longo, Ryan G. Knox, Naomi M. Levine, Abigail L. S. Swann, David M. Medvigy, Michael C. Dietze, Yeonjoo Kim, Ke Zhang, Damien Bonal, Benoit Burban, Plínio B. Camargo, Matthew N. Hayek, Scott R. Saleska, Rodrigo da Silva, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
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Shaojie Zhang, Luqiang Zhao, Ricardo Delgado-Tellez, and Hongjun Bao
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Ke Zhang, Xianwu Xue, Yang Hong, Jonathan J. Gourley, Ning Lu, Zhanming Wan, Zhen Hong, and Rick Wooten
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Massimo Melillo, Stefano Luigi Gariano, Silvia Peruccacci, Roberto Sarro, Rosa Marìa Mateos, and Maria Teresa Brunetti
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-111, https://doi.org/10.5194/nhess-2020-111, 2020
Revised manuscript accepted for NHESS
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Nat. Hazards Earth Syst. Sci., 20, 815–829, https://doi.org/10.5194/nhess-20-815-2020, https://doi.org/10.5194/nhess-20-815-2020, 2020
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Landslides triggered by rainfall are very common phenomena in complex tropical environments such as the Colombian Andes. In this work, we perform probabilistic analyses with r.slope.stability for landslide susceptibility analysis. We test the model in the La Arenosa catchment, northern Colombian Andes. The results are compared to those yielded with the corresponding deterministic analyses and with other physically based models applied in the same catchment.
Dayu Yu, Liyu Tang, and Chongcheng Chen
Nat. Hazards Earth Syst. Sci., 20, 727–741, https://doi.org/10.5194/nhess-20-727-2020, https://doi.org/10.5194/nhess-20-727-2020, 2020
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In recent years, dam-break accidents in tailing ponds have happened frequently, which has resulted in verified loss of life and ecological disaster. Simulation of a tailing dam accident in advance is useful for understanding the tailing flow characteristics and assessing the possible extension of the impact area. In this paper, a 3-D CFD approach was proposed for reasonably and quickly predicting the flow routing and impact area of mud flow from a dam failure across 3-D terrain.
Marcelo A. Somos-Valenzuela, Joaquín E. Oyarzún-Ulloa, Ivo J. Fustos-Toribio, Natalia Garrido-Urzua, and Chen Ningsheng
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-419, https://doi.org/10.5194/nhess-2019-419, 2020
Revised manuscript accepted for NHESS
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This work presents a study of the biggest mudflow event during the last 20 years in the Patagonian Andes. We integrate in-situ geotechnical tests and numerical modeling to model the Villa Santa Lucia mudflow event. The simulations were constrained using geotechnical soil data. Our results suggest that the initial soil water content has a significant impact in comparison to the initial water content in the generation zone for volcanic soils.
Mingdong Zang, Shengwen Qi, Yu Zou, Zhuping Sheng, and Blanca S. Zamora
Nat. Hazards Earth Syst. Sci., 20, 713–726, https://doi.org/10.5194/nhess-20-713-2020, https://doi.org/10.5194/nhess-20-713-2020, 2020
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Coseismic landslides often cause loss of life and property damage. Accurately mapping hazards is very important and challenging work. This paper considers the roughness and size effect of the potential sliding surface unloading joint and then presents an improved method of Newmark analysis for mapping hazards of coseismic landslides. The approach is verified using the Mw 6.1 Ludian earthquake in 2014 and compared with a conventional Newmark analysis using area under the curve analysis.
Sheng Fu, Lixia Chen, Tsehaie Woldai, Kunlong Yin, Lei Gui, Deying Li, Juan Du, Chao Zhou, Yong Xu, and Zhipeng Lian
Nat. Hazards Earth Syst. Sci., 20, 581–601, https://doi.org/10.5194/nhess-20-581-2020, https://doi.org/10.5194/nhess-20-581-2020, 2020
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In this study, we conducted a more detailed semiquantitative landslide risk assessment at a community level and scale of 1 : 10 000. In this manner, the case study computed the loss of lives and properties for each slope. The proposed procedure proved to be more useful in complementing risk assessment on the small scale of 100 000 in western Hubei, China.
Martin Mergili, Michel Jaboyedoff, José Pullarello, and Shiva P. Pudasaini
Nat. Hazards Earth Syst. Sci., 20, 505–520, https://doi.org/10.5194/nhess-20-505-2020, https://doi.org/10.5194/nhess-20-505-2020, 2020
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Computer simulations of complex landslide processes in mountain areas are important for informing risk management but are at the same time challenging in terms of parameterization and physical and numerical model implementation. Using the tool r.avaflow, we highlight the progress and the challenges with regard to such simulations on the example of the Piz Cengalo–Bondo landslide cascade in Switzerland, which started as an initial rockslide–rockfall and finally evolved into a debris flow.
Jalal Samia, Arnaud Temme, Arnold Bregt, Jakob Wallinga, Fausto Guzzetti, and Francesca Ardizzone
Nat. Hazards Earth Syst. Sci., 20, 271–285, https://doi.org/10.5194/nhess-20-271-2020, https://doi.org/10.5194/nhess-20-271-2020, 2020
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For the Collazzone study area in Italy, we quantified how much landslides follow others using Ripley's K function, finding that susceptibility is increased within 60 m and 17 years after a previous landslide. We then calculated the increased susceptibility for every pixel and for the 17-time-slice landslide inventory. We used these as additional explanatory variables in susceptibility modelling. Model performance increased substantially with this landslide history component included.
Valeria Lupiano, Francesco Chidichimo, Guillermo Machado, Paolo Catelan, Lorena Molina, Claudia R. Calidonna, Salvatore Straface, Gino M. Crisci, and Salvatore Di Gregorio
Nat. Hazards Earth Syst. Sci., 20, 1–20, https://doi.org/10.5194/nhess-20-1-2020, https://doi.org/10.5194/nhess-20-1-2020, 2020
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A method for risk mitigation of secondary lahars, triggered by violent rainfall, is proposed as an alternative to methods for containment or deviation that could cause future disasters. It is based on controlled generation of small lahars as a result of collapse of frail dams by backfill, forming momentary ponds, as in natural cases. LLUNPIY verifies by simulation path, velocity, thickness, and erosion of lahars that could be produced; a complex case study for Vascún valley, Ecuador, is shown.
Sandra Melzner, Nurit Shtober-Zisu, Oded Katz, and Lea Wittenberg
Nat. Hazards Earth Syst. Sci., 19, 2879–2885, https://doi.org/10.5194/nhess-19-2879-2019, https://doi.org/10.5194/nhess-19-2879-2019, 2019
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In the eastern Alps, no work on post-wildfire rockfall activity and risk has been published so far. The present work describes a wildfire that occurred in August 2018 in a famous world heritage site in Austria. Indicators of fire severity and rockfall occurrence during and after the fire are described. Future research needs are defined in order to raise awareness about the implementation of a new research focus in the Alpine region.
Ronda Strauch, Erkan Istanbulluoglu, and Jon Riedel
Nat. Hazards Earth Syst. Sci., 19, 2477–2495, https://doi.org/10.5194/nhess-19-2477-2019, https://doi.org/10.5194/nhess-19-2477-2019, 2019
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Identifying landslide hazards is challenging but important for understanding risks to people and both built and natural resources. We use models to identify landslide hazards based on observed landslides and local site traits such as slope and on physical mechanisms such as soil moisture. Integrating both approaches improves hazard detection by accounting for processes not captured in the physically based model. Hazard maps are made for the North Cascades National Park Complex (Washington, USA).
Adel Albaba, Massimiliano Schwarz, Corinna Wendeler, Bernard Loup, and Luuk Dorren
Nat. Hazards Earth Syst. Sci., 19, 2339–2358, https://doi.org/10.5194/nhess-19-2339-2019, https://doi.org/10.5194/nhess-19-2339-2019, 2019
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We present a discrete-element-based model which is adapted and used to produce hillslope debris flows. The model parameters were calibrated using field experiments, and a very good agreement was found in terms of pressure and flow velocity. Calibration results suggested that a link might exist between the model parameters and the initial conditions of the granular material. However, to better understand this link, further investigations are required by conducting detailed lab-scale experiments.
Zac Sala, D. Jean Hutchinson, and Rob Harrap
Nat. Hazards Earth Syst. Sci., 19, 2385–2404, https://doi.org/10.5194/nhess-19-2385-2019, https://doi.org/10.5194/nhess-19-2385-2019, 2019
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The work carried out for this study is part of a collaborative research program studying the impact of ground hazards on transportation infrastructure in Canada. The focus of the paper is the testing and application of a new simulation technique which can model the movement of falling rock material. These initial tests show that our simulation technique is capable of reproducing material accumulations from rockfall events which occurred above a section of railway in British Columbia, Canada.
Qin Chen, Lixia Chen, Lei Gui, Kunlong Yin, Dhruba Pikha Shrestha, Juan Du, and Xuelian Cao
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-318, https://doi.org/10.5194/nhess-2019-318, 2019
Revised manuscript accepted for NHESS
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Previous studies have focused on generalized vulnerability assessment from landslides or other types of slope failures, such as debris flow and rockfall. The proposed study establishes a three-step approach to investigate the physical vulnerability of buildings affected by slow-moving landslides. Herein, good consistency between the estimated building physical vulnerability and on-field damage evidence was found.
Lixia Chen, Zizheng Guo, Kunlong Yin, Dhruba Pikha Shrestha, and Shikuan Jin
Nat. Hazards Earth Syst. Sci., 19, 2207–2228, https://doi.org/10.5194/nhess-19-2207-2019, https://doi.org/10.5194/nhess-19-2207-2019, 2019
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The study aims to evaluate the influence of land use and land cover change on landslide susceptibility at a regional scale, based on the application of Geographic Information System (GIS) and remote sensing (RS) technologies. The specific objective is to answer the following question: which land cover/land use change poses the highest risk so that mitigation measures can be implemented in time?
Baoqin Lian, Jianbing Peng, and Qiangbing Huang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-156, https://doi.org/10.5194/nhess-2019-156, 2019
Revised manuscript accepted for NHESS
Yaning Yi, Zhijie Zhang, Wanchang Zhang, Qi Xu, Cai Deng, and Qilun Li
Nat. Hazards Earth Syst. Sci., 19, 1973–1988, https://doi.org/10.5194/nhess-19-1973-2019, https://doi.org/10.5194/nhess-19-1973-2019, 2019
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On 8 August 2017, a Mw 6.5 earthquake struck the Jiuzhaigou region of Sichuan Province, which triggered numerous landslides. In this study, a landslide susceptibility map was generated by using an integrated weighted index model. Results indicated that the integrated model has superior fitting performance and predictive capability. We expect that the generated landslide susceptibility map can serve engineers and decision makers involved in hazard mitigation.
Ahangama Kankanamge Rasika Nishamanie Ranasinghe, Ranmalee Bandara, Udeni Gnanapriya Anuruddha Puswewala, and Thilantha Lakmal Dammalage
Nat. Hazards Earth Syst. Sci., 19, 1881–1893, https://doi.org/10.5194/nhess-19-1881-2019, https://doi.org/10.5194/nhess-19-1881-2019, 2019
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Koslanda in Sri Lanka is on people's minds due to frequently occurring landslides as the area is made vulnerable by both climatic and geomorphological settings. Integration of radar and optical remote sensing can be used to quite satisfactorily predict landslides with complementary information at a smaller scale. Inclusion of radar-derived factors in landslide susceptibility analysis of a bivariate and multivariate nature improves the prediction of high- and very-low-susceptibility areas.
Jianqiang Zhang, Cees J. van Westen, Hakan Tanyas, Olga Mavrouli, Yonggang Ge, Samjwal Bajrachary, Deo Raj Gurung, Megh Raj Dhital, and Narendral Raj Khanal
Nat. Hazards Earth Syst. Sci., 19, 1789–1805, https://doi.org/10.5194/nhess-19-1789-2019, https://doi.org/10.5194/nhess-19-1789-2019, 2019
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The aim of this study is to investigate the differences in the mappable characteristics of earthquake-triggered and rainfall triggered landslides in terms of their frequency–area relationships, spatial distributions and relation with causal factors, as well as to evaluate whether separate susceptibility maps generated for specific landslide size and triggering mechanism are better than a generic landslide susceptibility assessment including all landslide sizes and triggers.
Susanne A. Benz and Philipp Blum
Nat. Hazards Earth Syst. Sci., 19, 1433–1444, https://doi.org/10.5194/nhess-19-1433-2019, https://doi.org/10.5194/nhess-19-1433-2019, 2019
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This study aims to identify clusters of landslide events within a global database that are triggered by the same rainfall event. Results show that 14 % of all recorded landslide events are actually part of a landslide cluster consisting of at least 10 events. However, in a more regional analysis this number ranges from 30 % for the west coast of North America to 3 % in the Himalayan region. These findings provide an improved understanding for managing landslide mitigations on a larger scale.
Jing Wang, Guigen Nie, Shengjun Gao, and Changhu Xue
Nat. Hazards Earth Syst. Sci., 19, 1387–1398, https://doi.org/10.5194/nhess-19-1387-2019, https://doi.org/10.5194/nhess-19-1387-2019, 2019
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It is necessary to do some prevention study of landslide hazard like the early warning and deformation prediction. This research proposes a new strategy to predict displacement of the landslide. Results confirm the accuracy and effectiveness of this method in displacement prediction, which can provide assistance in early risk assessment and landslide forecasting.
Sita Karki, Mohamed Sultan, Saleh Alsefry, Hassan Alharbi, Mustafa Kemal Emil, Racha Elkadiri, and Emad Abu Alfadail
Nat. Hazards Earth Syst. Sci., 19, 1235–1249, https://doi.org/10.5194/nhess-19-1235-2019, https://doi.org/10.5194/nhess-19-1235-2019, 2019
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We constructed an intensity–duration thresholding technique required to develop an early-warning system for the Faifa Mountains in Saudi Arabia. The study uses radar imagery, satellite-derived rainfall data, archival imagery, and limited field data. The study presents a significant development in the application of radar for hydrogeological and geomorphological studies as it provides better resilience towards nonoptical conditions.
Louise Mary Vick, Valerie Zimmer, Christopher White, Chris Massey, and Tim Davies
Nat. Hazards Earth Syst. Sci., 19, 1105–1117, https://doi.org/10.5194/nhess-19-1105-2019, https://doi.org/10.5194/nhess-19-1105-2019, 2019
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Rockfall boulders can travel long distances downslope, and it is important to predict how far fatalities can be prevented. A comparison of earthquake data from New Zealand during summer and full-scale rockfall experiments in the same soil during winter shows that during dry seasons boulders travel further downslope because the soil is harder. When using predictive tools, engineers and geologists should take soil conditions (and seasonal variations thereof) into account.
Sajid Ali, Peter Biermanns, Rashid Haider, and Klaus Reicherter
Nat. Hazards Earth Syst. Sci., 19, 999–1022, https://doi.org/10.5194/nhess-19-999-2019, https://doi.org/10.5194/nhess-19-999-2019, 2019
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The Karakoram Highway (KKH) is an important physical connection between Pakistan and China. Landslides have been a major threat to its stability since its construction. After the announcement of the China–Pakistan Economic Corridor (CPEC), KKH has had more importance. Geoscientists from research institutions in both countries are assessing landslide hazard and risk along the highway. In a PhD project, this paper will be followed by a detailed analysis of mass movements along the highway.
Andrea Bevilacqua, Abani K. Patra, Marcus I. Bursik, E. Bruce Pitman, José Luis Macías, Ricardo Saucedo, and David Hyman
Nat. Hazards Earth Syst. Sci., 19, 791–820, https://doi.org/10.5194/nhess-19-791-2019, https://doi.org/10.5194/nhess-19-791-2019, 2019
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We introduce a new prediction-oriented method for hazard assessment of volcaniclastic debris flows, based on multiple models. We apply our procedure to a case study of the 1955 Atenquique flow, using three widely used depth-averaged models. Depending on how it is looked at, the exercise provides useful information in either model selection or data inversion. Connecting inverse problems and model uncertainty represents a fundamental challenge in the future development of
multi-model solvers.
David G. Milledge, Alexander L. Densmore, Dino Bellugi, Nick J. Rosser, Jack Watt, Gen Li, and Katie J. Oven
Nat. Hazards Earth Syst. Sci., 19, 837–856, https://doi.org/10.5194/nhess-19-837-2019, https://doi.org/10.5194/nhess-19-837-2019, 2019
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Mitigating landslide risk requires information on landslide hazards on a suitable scale to inform decisions. We develop simple rules to identify landslide hazards and the probability of being hit by a landslide, then test their performance using six existing landslide inventories from recent earthquakes. We find that the best rules are "minimize your maximum look angle to the skyline" and "avoid steep (> 10˚) channels with many steep (> 40˚) areas that are upslope".
Elise Monsieurs, Olivier Dewitte, and Alain Demoulin
Nat. Hazards Earth Syst. Sci., 19, 775–789, https://doi.org/10.5194/nhess-19-775-2019, https://doi.org/10.5194/nhess-19-775-2019, 2019
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We propose in this study a fundamentally new approach for the definition of minimum rainfall required for the initiation of landslides based on satellite-derived antecedent rainfall estimates directly coupled with data on surface susceptibility for landslides. We apply our approach in the western branch of the East African Rift and provide first regional rainfall thresholds for landsliding in tropical Africa.
Alfonso Gutiérrez-Martín, Miguel Ángel Herrada, José Ignacio Yenes, and Ricardo Castedo
Nat. Hazards Earth Syst. Sci., 19, 721–736, https://doi.org/10.5194/nhess-19-721-2019, https://doi.org/10.5194/nhess-19-721-2019, 2019
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This research work of this paper completes the authors' activity in the Military Emergencies Unit of Spain in responding to the problem of slope instabilities and how to predict them in the case of heavy rains. This work completes the work of stabilization and stresses made by torrential rains in the south of Spain. The results have been satisfactory.
Karen Sudmeier-Rieux, Brian G. McAdoo, Sanjaya Devkota, Purna Chandra Lal Rajbhandari, John Howell, and Shuva Sharma
Nat. Hazards Earth Syst. Sci., 19, 655–660, https://doi.org/10.5194/nhess-19-655-2019, https://doi.org/10.5194/nhess-19-655-2019, 2019
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This article discusses how Nepal's development, landslide risk and geopolitics are intertwined as the country seeks to expand its road networks. However, rural villages adjacent to major roads have developed their own network of poorly constructed rural roads, which are likely to increase environmental and socioeconomic risks associated with roadside landslides. We base our observations on research conducted over a decade in Nepal, with reference to new research on roads and landslides.
Nicholas J. Roberts, Bernhard T. Rabus, John J. Clague, Reginald L. Hermanns, Marco-Antonio Guzmán, and Estela Minaya
Nat. Hazards Earth Syst. Sci., 19, 679–696, https://doi.org/10.5194/nhess-19-679-2019, https://doi.org/10.5194/nhess-19-679-2019, 2019
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La Paz, Bolivia, experiences frequent damaging landslides. We quantify creep before and after the city’s largest modern landslide using spaceborne InSAR. Creep of ancient landslide deposits increased in rate and extent following failure and extended into adjacent intact materials. Accelerated steady-state creep reflects complex post-failure stress redistribution. Landslide risk in La Paz, which is underlain by many large ancient landslides, may be even greater than previously thought.
Junnan Xiong, Ming Sun, Hao Zhang, Weiming Cheng, Yinghui Yang, Mingyuan Sun, Yifan Cao, and Jiyan Wang
Nat. Hazards Earth Syst. Sci., 19, 629–653, https://doi.org/10.5194/nhess-19-629-2019, https://doi.org/10.5194/nhess-19-629-2019, 2019
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We want to know which areas are prone to landslides and where pipelines are more unsafe. Through a model, we determined that 33.18 % and 40.46 % of the slopes in the study are were in high-hazard and extremely high-hazard areas, respectively. The number and length of pipe segments in the highly vulnerable and extremely vulnerable areas accounted for about 12 % of the total. In general, the pipeline risk within Qingchuan and Jian'ge counties was relatively high.
Bruno M. Meneses, Susana Pereira, and Eusébio Reis
Nat. Hazards Earth Syst. Sci., 19, 471–487, https://doi.org/10.5194/nhess-19-471-2019, https://doi.org/10.5194/nhess-19-471-2019, 2019
Olga Mavrouli, Jordi Corominas, Iñaki Ibarbia, Nahikari Alonso, Ioseba Jugo, Jon Ruiz, Susana Luzuriaga, and José Antonio Navarro
Nat. Hazards Earth Syst. Sci., 19, 399–419, https://doi.org/10.5194/nhess-19-399-2019, https://doi.org/10.5194/nhess-19-399-2019, 2019
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A methodology is proposed for the quantitative risk assessment of roadways subjected to rockfalls, retaining wall failures, and slow moving landslides. It includes the calculation of the probability of occurrence of each hazard with a given level, based on an extensive collection of field data, and its association with the consequences. The latter was assessed considering the road damage repair cost for each level in terms of a fixed unit cost.
Michele Santangelo, Massimiliano Alvioli, Marco Baldo, Mauro Cardinali, Daniele Giordan, Fausto Guzzetti, Ivan Marchesini, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 19, 325–335, https://doi.org/10.5194/nhess-19-325-2019, https://doi.org/10.5194/nhess-19-325-2019, 2019
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The paper discusses the use of rockfall modelling software and photogrammetry applied to images acquired by RPAS to provide support to civil protection agencies during emergency response. The paper focuses on a procedure that was applied to define the residual rockfall risk for a road that was hit by an earthquake-triggered rockfall that occurred during the seismic sequence that hit central Italy on 24 August 2016. Road reopening conditions were decided based on the results of this study.
Yung Ming Cheng, Wing Hong Ivan Fung, Liang Li, and Na Li
Nat. Hazards Earth Syst. Sci., 19, 181–199, https://doi.org/10.5194/nhess-19-181-2019, https://doi.org/10.5194/nhess-19-181-2019, 2019
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The work in this paper can be useful for government engineers who need to make a decision on which debris flow barrier to use and assess the consequences of debris flow. Although the experiments in this paper are relatively simple, a deeper understanding of the debris flow process can be enhanced with the results in the present study.
Zhaohua Li, Zhigang Tao, Yuanjun Jiang, Qian Lv, Felix Darve, and Manchao He
Nat. Hazards Earth Syst. Sci., 19, 153–168, https://doi.org/10.5194/nhess-19-153-2019, https://doi.org/10.5194/nhess-19-153-2019, 2019
Alessandro Tibaldi, Paolo Oppizzi, John Gierke, Thomas Oommen, Nino Tsereteli, and Zurab Gogoladze
Nat. Hazards Earth Syst. Sci., 19, 71–91, https://doi.org/10.5194/nhess-19-71-2019, https://doi.org/10.5194/nhess-19-71-2019, 2019
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In the framework of the NATO Science for Peace and Security Program, we have increased the knowledge on the geohazards affecting the Enguri hydroelectrical plant (Caucasus, Georgia). 2 km from the dam, active deformation (2–5 cm yr−1) affects a slope facing the water reservoir. Our field, seismological and numerical analyses show that the worst scenario is represented by seismic shaking with a local peak ground acceleration capable of generating an unstable rock volume of up to 48 ± 12 × 106 m3.
Jian Huang, Theodoor Wouterus Johannes van Asch, Changming Wang, and Qiao Li
Nat. Hazards Earth Syst. Sci., 19, 41–51, https://doi.org/10.5194/nhess-19-41-2019, https://doi.org/10.5194/nhess-19-41-2019, 2019
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Wenjia gully is a typical gully-type debris flow, which has a large-scale catchment and great hazard risk to the local people. Based on the monitoring data for almost 6 years until now, the characteristics of debris-flow-triggering parameters (pore pressure and rainfall) have been analyzed, especially the relationship with debris flow occurrences. Then, a combined threshold has been presented and tested in order to provide a method for safeguarding the population in the region.
Miao Yu, Yu Huang, Wenbin Deng, and Hualin Cheng
Nat. Hazards Earth Syst. Sci., 18, 3343–3353, https://doi.org/10.5194/nhess-18-3343-2018, https://doi.org/10.5194/nhess-18-3343-2018, 2018
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Flow-like landslides, such as flow slides and debris avalanches, have caused serious infrastructure damage and casualties for centuries. Effective numerical simulation incorporating accurate soil mechanical parameters is essential for predicting post-failure landslide mobility. In this study, smoothed particle hydrodynamics (SPH) incorporating soil ring shear test results were used to forecast the long-runout mobility for a landslide on an unstable slope in China.
Brian G. McAdoo, Michelle Quak, Kaushal R. Gnyawali, Basanta R. Adhikari, Sanjaya Devkota, Purna Lal Rajbhandari, and Karen Sudmeier-Rieux
Nat. Hazards Earth Syst. Sci., 18, 3203–3210, https://doi.org/10.5194/nhess-18-3203-2018, https://doi.org/10.5194/nhess-18-3203-2018, 2018
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Road development in Nepal promises to improve access to markets, education and healthcare, but not without hazardous consequences. Using GIS maps of monsoon-triggered landslides, we show that rural roads are responsible for doubling the number of landslides in one mountainous district. Engineers are seeking sustainable and affordable eco-solutions to help stabilize these roads in order to prevent further loss of life and property as Nepal approaches this next phase in its development.
Yanhai Wang, Wei Jiang, Shengguo Cheng, Pengcheng Song, and Cong Mao
Nat. Hazards Earth Syst. Sci., 18, 3045–3061, https://doi.org/10.5194/nhess-18-3045-2018, https://doi.org/10.5194/nhess-18-3045-2018, 2018
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General laws regarding the effect of the impact angle on the coefficients of restitution occur regardless of the test scales and conditions. Increasing the impact angle results in a reduction of Rn, Rv and RE and causes an increase in Rt. The rotation plays an important role in the effect of the impact angle. A higher percentage of kinetic energy converted to rotational energy always induces a higher Rn and a lower Rt. The percentage can be associated with the impact angle and the rock sizes.
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We investigated the spatiotemporal characteristics of landslide and debris flow hazards in Shaanxi Province and quantified the relationships between the occurrence rates of the two hazards and their influencing factors, including antecedent rainfall amount, rainfall duration, rainfall intensity, terrain slope, land cover type and soil type. Rainfall amount, duration, and intensity and slope are the dominant factors controlling slope stability across this region.
We investigated the spatiotemporal characteristics of landslide and debris flow hazards in...
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