1,721,072 research outputs found
Model performance analysis for flood hazard assessment in Ubaye river, Barcelonnette, France
No full textDeep learning powered long-term warning systems for reservoir landslides
No full textThe reservoir landslides are characterized by repeated phases of acceleration and isokinetic de-formation under long-term periodic external forces. The state-of-the-art research lacks reliable prediction methods and judgment of their evolution stages. This work promotes the application of the deep learning algorithm and landslide evolution model in long-term warning systems. The test site is the Sifangbei landslide in the Three Gorges reservoir area of China. The main innova-tive features are: (i) the displacement of the landslide is considered as the prediction target, and the optimal model (i.e., conditioning factors and hyper-parameters combination) driven by the deep learning framework is used for spatial prediction; (ii) different warning methods (from both literature and current practice) are compared to single out the one that can best describe the evo-lution stage of the reservoir landslide; and (iii) deep learning model and adaptive evolution model are combined to analyze the temporal-spatial kinematic characteristics and evolution trend of the landslide under extreme scenarios related to rainfall and reservoir water levels. The results show that the predicted displacements of the lower and central part of the landslide are re-spectively controlled by reservoir water level and rainfall; the five-stage evolution model can cap-ture the long-term evolution trend of the Sifangbei landslide; under extreme scenarios, landslide deformation exhibits step-like characteristics and is more likely to start from the middle of the lower portion of the unstable area. These models represent the up-to-date steps of a long-term re-search plan. The gathered knowledge can be used to analyze the spatial evolution characteristics of landslides and promote the setup of long-term warning systems. Furthermore, the results show that combining the proposed deep learning and evolution methods provides forecast information that could help adjusting short-term warning strategies in such a complex risk area as the Three Gorges Reservoir
Regional rainfall and hydrological thresholds for landslide occurrence. Examples from New Zealand and central Italy
No full textRegional rainfall and hydrological thresholds for landslide occurrence. Examples from New Zealand and central Italy
No full textEconomic assessment of landslide risk for the Waidhofen a.d. Ybbs region, Alpine Foreland, Lower Austria
No full textLandslides are natural hazards typical for Alpine regions in Austria. They often lead to negative consequences for the society and environment and cause frequently high economic losses. Estimation of economic risks is a sound basis for landslide risk mitigation and prevention. This research aims to assess risk and estimate economic damage caused by landslides. The study area is located in the Ybbs valley, Lower Austria, a touristic region and a critical transport corridor. Methodology consists of GIS analysis and estimation of the monetary losses. Spatial analysis includes defining elements at risk located in the buffer zone of 100 m near landslides. The results include estimated losses caused by the destruction of immobility and transport, including costs for buildings demolition, restoration, roads rebuilding, debris transport, excavation and removal
Rock slope stability and runout analysis for geological risk mapping in the Marina Piccola bay (Capri Island, Italy)
No full textThanks to modern geotechnologies, recent studies reveal that many urbanized areas are sited by rock fall hazard of high degree. Due to their particular location, buildings and houses in such areas are often exposed to high risk caused by the overhead presence of potentially unstable blocks. In this paper, the case study of “Grotta delle Felci” cliff (Solaro Mountain, Naples – Italy) is presented. With the aim of updating the existing geological risk map of the Marina Piccola bay, a study of the rock slope stability was performed using traditional geological surveys, Digital Terrestrial Photogrammetry (DTP), Laser Scanning (LS) and topo-graphic GPS and Total Station measurements. The use of DTP is recommended especially in inaccessible sites such as, quarries, mountain slopes and natural cliffs. From LS points cloud and oriented stereo-images, re-spectively the Digital Dense Surface Model (DDSM) and the cliff orthophoto were produced. The analysis of DDSM and stereopairs allowed to derive fundamental data for studying the slope stability such as the geometrical characteristics of joints (position, attitude, spacing and persistence), the blocks shape and volume and the local morphology dip and dip direction. Then, a runout analysis of unstable blocks and wedges was performed with the goal of highlighting the most dangerous areas at the bottom of the cliff and of defining the kinetic energy of possible blocks along their falling paths. Following a deterministic approach, the geometrical information, combined with data from traditional engineering-geological survey, was used to study the slope stability both by the limit equilibrium conventional method and distinct elements numerical analysis. Final results about cliff stability and runout analysis, combined with the vulnerability of buildings and roads, allowed to propose the updated geological risk map and to advise the most suitable protection works to mitigate the hazard
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
The catastrophic debris-flow of Minatitlan (Colima, Mexico): description and modeling
No full textThe catastrophic debris-flow of Minatitlan (Colima, Mexico): description and modelin
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