1,721,040 research outputs found
Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides
A methodology designed to integrate widespread meteorological monitoring and pore water pressure measurements is proposed. The procedure is tested in 30 hydrological basins highly susceptible to weather-induced landslides in Norway. The following data are used: a catalog of 125 weather-induced landslides in soils registered between January 2013 and June 2017, widespread meteorological monitoring data employed in a territorial warning model, and pore water pressure measurements retrieved from boreholes installed for a variety of geotechnical projects. The territorial warning model is initially applied to identify the warning events and the correspondent warning level in the test areas over the analysis period. Afterwards, a method for assessing the territorial warning events by analyzing the trends of the monitored pore water pressures is proposed. Finally, an augmented territorial warning model is calibrated and validated using statistical indicators widely adopted in literature. The analysis of the results reveals a satisfactory correspondence between days with landslides and the warning levels provided by the augmented territorial warning model. A final comparison between the results of the model calibration and the model validation highlighted the consistency of the model performance, once the three model parameters are adequately set
Correction to: Monitoring strategies for local landslide early warning systems (Landslides, (2019), 16, 2, (213-231), 10.1007/s10346-018-1068-z)
The original version of this article was revised: Unconverted data in Figure 3; Tables 1 and 2 caption has error in both PDF and XML; Table 6 needs to be organized and structured so it would be more readable
“Influence of the forming process on the corrosion resistence of AA3103 aluminium pipes”
Definition and First Application of a Probabilistic Warning Model for Rainfall-Induced Landslides
Influence of Numerosity and Distribution of Piezometric Data on the Performance of a Warning Model for Weather-Induced Landslides in Norway
Territorial landslide early warning systems (Te-LEWS) are widely applied worldwide to deal with weather-induced landslides over wide areas, typically through the prediction and forecasting of meteorological parameters. However, meteorological monitoring alone does not allow to take into account critical soil conditions controlling the triggering process. Depending on local conditions, landslides may be triggered in response to a large variety of weather events. Therefore, the integration of geotechnical monitoring data within warning models for weather-induced landslides at regional scale can provide supplemental information useful to determine the likelihood of a given weather event actually producing landslides. A methodology designed to integrate widespread meteorological monitoring and pore water pressure measurements is herein applied within 30 hydrological basins highly susceptible to weather-induced landslides in Norway. The correctness of the predictions in relation to different network configurations of the piezometers is evaluated through a series of parametric analyses. The results of a first application of the proposed warning model are also presented and discussed. This study should be considered as a first attempt to define the conditions for adopting an economically sustainable and technically reliable geotechnical monitoring strategy for predicting the conditions leading to the triggering of weather-induced landslides over wide areas
Locoregional Treatment of Advanced HCC with Complete Portal Vein Thrombosis: The Impact of Radioembolization using 90Y
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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