11 research outputs found

    Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: A Review of First Results and Prospects of the (AC)3 Project

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    Mechanisms behind the phenomenon of Arctic amplification are widely discussed. To contribute to this debate, the (AC)3 project has been established in 2016. It comprises modeling and data analysis efforts as well as observational elements. The project has assembled a wealth of ground-based, airborne, ship-borne, and satellite data of physical, chemical, and meteorological properties of the Arctic atmosphere, cryosphere, and upper ocean that are available for the Arctic climate research community. Short-term changes and indications of long-term trends in Arctic climate parameters have been detected using existing and new data

    Anales de Edafología y Agrobiología Tomo 33 Número 5-6

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    Consideraciones generales sobre la formación de minerales secundarios en los andosoles. Esquema de una secuencia de meteorización de las cenizas volcánicas, por E. Besoain M.-- Distribución y características de los suelos canarios. II. Isla del Hierro, por E. Fernández Caldas, F. Monturiol y F. Gutiérrez.-- Nutrición del chirimoyo: ciclo anual, por C. González O. y E. Esteban.-- Acción deí nitrógeno y tactores externos en el trigo cultivado en el campo, por L. Sánchez de la Puente y R. Martínez-Carrasco.-- Determinación de elementos-traza y distribución en las distintas fracciones del suelo. I. Suelo pardo rojizo mediterráneo, por C. Maqueda, M. Lachica, M. Delgado y J. L. Pérez Rodríguez.-- Influencia de la acidez o alcalinidad del medio de cultivo sobre la planta de «Brassican, por M.o. P. Sánchez Conde y C. Azuara del Molino .-- Nematodes associes a la culture des agrumes en Espagne, por A. Bello, E. Laborda et P. Alvira.-- Estudio de diversos métodos de determinación de la capacidad de cambio catiónica dependiente e independiente del pH y su aplicación a suelos calizos, por E. Díaz Barrientos y P. de Arambarri.-- Efecto de la localización del fertilizante fosfatado sobre su asimilación por olivos, por P. de Arambarri y L. Madrid.-- Humic matter from vertisols. II. Fulvic acids, by F. Martín, C. Saiz-Jiménez and F. J. González Vila.-- Estudios recapitulativos.-- La ultraestructura de los líquenes, por M.o. C. Ascaso.—Notas.-- Fallecimiento del Prof. Baade, Consejero de Honor del C. S. l. C.-- Nombramiento de Consejero de Honor.-- Reunión Plenaria de la División de Ciencias y de sus Patronatos.-- Cambios en el l. N. C. M. A.-- Renuncia del Sr. García Gutiérrez como Vocal de la Junta de Gobierno del Patronato Alonso de Herrera.-- Nombramiento en el Instituto de Alimentación y Productividad Animal.-- Cambio de Vocales técnicos de la Estación Experimental La Mayoral.-- Creación de la Sección de Geoquímica y Génesis Mineral.-- Próxima reunión de la Comisión de Climatología.-- II Jornadas Técnicas sobre «Los plaguicidas y el medio ambiente.-- Seminario sobre «Tipos diferentes de costras calizas y su distribución regional.—Congresos y reuniones.-- DistincionesPeer reviewe

    A new classification of earthquake-induced landslide event sizes based on seismotectonic, topographic, climatic and geologic factors

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    Background This paper reviews the classical and some particular factors contributing to earthquake-triggered landslide activity. This analysis should help predict more accurately landslide event sizes, both in terms of potential numbers and affected area. It also highlights that some occurrences, especially those very far from the hypocentre/activated fault, cannot be predicted by state-of-the-art methods. Particular attention will be paid to the effects of deep focal earthquakes in Central Asia and to other extremely distant landslide activations in other regions of the world (e.g. Saguenay earthquake 1988, Canada). Results The classification of seismically induced landslides and the related ‘event sizes’ is based on five main factors: ‘Intensity’, ‘Fault factor’, ‘Topographic energy’, ‘Climatic background conditions’, ‘Lithological factor’. Most of these data were extracted from papers, but topographic inputs were checked by analyzing the affected region in Google Earth. The combination and relative weight of the factors was tested through comparison with well documented events and complemented by our studies of earthquake-triggered landslides in Central Asia. The highest relative weight (6) was attributed to the ‘Fault factor’; the other factors all received a smaller relative weight (2–4). The high weight of the ‘Fault factor’ (based on the location in/outside the mountain range, the fault type and length) is strongly constrained by the importance of the Wenchuan earthquake that, for example, triggered far more landslides in 2008 than the Nepal earthquake in 2015: the main difference is that the fault activated by the Wenchuan earthquake created an extensive surface rupture within the Longmenshan Range marked by a very high topographic energy while the one activated by the Nepal earthquake ruptured the surface in the frontal part of the Himalayas where the slopes are less steep and high. Finally, the calibrated factor combination was applied to almost 100 other earthquake events for which some landslide information was available. This comparison revealed the ability of the classification to provide a reasonable estimate of the number of triggered landslides and of the size of the affected area. According to this prediction, the most severe earthquake-triggered landslide event of the last one hundred years would actually be the Wenchuan earthquake in 2008 followed by the 1950 Assam earthquake in India – considering that the dominating role of the Wenchuan earthquake data (including the availability of a complete landslide inventory) for the weighting of the factors strongly influences and may even bias this result. The strongest landslide impacts on human life in recent history were caused by the Haiyuan-Gansu earthquake in 1920 – ranked as third most severe event according to our classification: its size is due to a combination of high shaking intensity, an important ‘Fault factor’ and the extreme susceptibility of the regional loess cover to slope failure, while the surface morphology of the affected area is much smoother than the one affected by the Wenchuan 2008 or the Nepal 2015 earthquakes. Conclusions The main goal of the classification of earthquake-triggered landslide events is to help improve total seismic hazard assessment over short and longer terms. Considering the general performance of the classification-prediction, it can be seen that the prediction either fits or overestimates the known/observed number of triggered landslides for a series of earthquakes, while it often underestimates the size of the affected area. For several events (especially the older ones), the overestimation of the number of landslides can be partly explained by the incompleteness of the published catalogues. The underestimation of the extension of the area, however, is real – as some particularities cannot be taken into account by such a general approach: notably, we used the same seismic intensity attenuation for all events, while attenuation laws are dependent on regional tectonic and geological conditions. In this regard, it is likely that the far-distant triggering of landslides, e.g., by the 1988 Saguenay earthquake (and the related extreme extension of affected area) is due to a very low attenuation of seismic energy within the North American plate. Far-distant triggering of landslides in Central Asia can be explained by the susceptibility of slopes covered by thick soft soils to failure under the effect of low-frequency shaking induced by distant earthquakes, especially by the deep focal earthquakes in the Pamir – Hindukush seismic region. Such deep focal and high magnitude (> > 7) earthquakes are also found in Europe, first of all in the Vrancea region (Romania). For this area as well as for the South Tien Shan we computed possible landslide event sizes related to some future earthquake scenarios

    The Health Effects of Aluminum Compounds in Mammals

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    Predicting University Dropout trough Data Mining: A systematic Literature

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    Empowering Latina scientists

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