7 resultados para Space flight to Mercury

em Universidad de Alicante


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The effects of treatment of an activated carbon with Sulphur precursors on its textural properties and on the ability of the complex synthesized for mercury removal in aqueous solutions are studied. To this end, a commercial activated carbon has been modified by treatments with aqueous solutions of Na2S and H2SO4 at two temperatures (25 and 140 °C) to introduce sulphur species on its surface. The prepared adsorbents have been characterized by N2 (-196 °C) and CO2 (0 °C) adsorption, thermogravimetric analysis, temperature-programmed decomposition and X-ray photoelectron spectroscopy, and their adsorption capacities to remove Hg(II) ions in aqueous solutions have been determined. It has been shown that the impregnation treatments slightly modified the textural properties of the samples, with a small increase in the textural parameters (BET surface area and mesopore volumes). By contrast, surface oxygen content was increased when impregnation was carried out with Na2S, but it decreased when H2SO4 was used. However, the main effect of the impregnation treatments was the formation of surface sulphur complexes of thiol type, which was only achieved when the impregnation treatments were carried out at low temperature (25 °C). The presence of surface sulphur enhances the adsorption behaviour of these samples in the removal of Hg(II) cations in aqueous solutions at pH 2. In fact, complete Hg(II) removal is only obtained with the sulphur-containing activated carbons.

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The sea level variation (SLVtotal) is the sum of two major contributions: steric and mass-induced. The steric SLVsteric is that resulting from the thermal and salinity changes in a given water column. It only involves volume change, hence has no gravitational effect. The mass-induced SLVmass, on the other hand, arises from adding or subtracting water mass to or from the water column and has direct gravitational signature. We examine the closure of the seasonal SLV budget and estimate the relative importance of the two contributions in the Mediterranean Sea as a function of time. We use ocean altimetry data (from TOPEX/Poseidon, Jason 1, ERS, and ENVISAT missions) to estimate SLVtotal, temperature, and salinity data (from the Estimating the Circulation and Climate of the Ocean ocean model) to estimate SLVsteric, and time variable gravity data (from Gravity Recovery and Climate Experiment (GRACE) Project, April 2002 to July 2004) to estimate SLVmass. We find that the annual cycle of SLVtotal in the Mediterranean is mainly driven by SLVsteric but moderately offset by SLVmass. The agreement between the seasonal SLVmass estimations from SLVtotal – SLVsteric and from GRACE is quite remarkable; the annual cycle reaches the maximum value in mid-February, almost half a cycle later than SLVtotal or SLVsteric, which peak by mid-October and mid-September, respectively. Thus, when sea level is rising (falling), the Mediterranean Sea is actually losing (gaining) mass. Furthermore, as SLVmass is balanced by vertical (precipitation minus evaporation, P–E) and horizontal (exchange of water with the Atlantic, Black Sea, and river runoff) mass fluxes, we compared it with the P–E determined from meteorological data to estimate the annual cycle of the horizontal flux.

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Reply to comment by L. Fenoglio-Marc et al. on “On the steric and mass-induced contributions to the annual sea level variations in the Mediterranean Sea”.

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The total sea level variation (SLV) is the combination of steric and mass␣induced SLV, whose exact shares are key to understanding the oceanic response to climate system changes. Total SLV can be observed by radar altimetry satellites such as TOPEX/POSEIDON and Jason 1/2. The steric SLV can be computed through temperature and salinity profiles from in situ measurements or from ocean general circulation models (OGCM), which can assimilate the said observations. The mass-induced SLV can be estimated from its time-variable gravity (TVG) signals. We revisit this problem in the Mediterranean Sea estimating the observed, steric, and mass-induced SLV, for the latter we analyze the latest TVG data set from the GRACE (Gravity Recovery and Climate Experiment) satellite mission launched in 2002, which is 3.5 times longer than in previous studies, with the application of a two-stage anisotropic filter to reduce the noise in high-degree and -order spherical harmonic coefficients. We confirm that the intra-annual total SLV are only produced by water mass changes, a fact explained in the literature as a result of the wind field around the Gibraltar Strait. The steric SLV estimated from the residual of “altimetry minus GRACE” agrees in phase with that estimated from OGCMs and in situ measurements, although showing a higher amplitude. The net water fluxes through both the straits of Gibraltar and Sicily have also been estimated accordingly.

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In many classification problems, it is necessary to consider the specific location of an n-dimensional space from which features have been calculated. For example, considering the location of features extracted from specific areas of a two-dimensional space, as an image, could improve the understanding of a scene for a video surveillance system. In the same way, the same features extracted from different locations could mean different actions for a 3D HCI system. In this paper, we present a self-organizing feature map able to preserve the topology of locations of an n-dimensional space in which the vector of features have been extracted. The main contribution is to implicitly preserving the topology of the original space because considering the locations of the extracted features and their topology could ease the solution to certain problems. Specifically, the paper proposes the n-dimensional constrained self-organizing map preserving the input topology (nD-SOM-PINT). Features in adjacent areas of the n-dimensional space, used to extract the feature vectors, are explicitly in adjacent areas of the nD-SOM-PINT constraining the neural network structure and learning. As a study case, the neural network has been instantiate to represent and classify features as trajectories extracted from a sequence of images into a high level of semantic understanding. Experiments have been thoroughly carried out using the CAVIAR datasets (Corridor, Frontal and Inria) taken into account the global behaviour of an individual in order to validate the ability to preserve the topology of the two-dimensional space to obtain high-performance classification for trajectory classification in contrast of non-considering the location of features. Moreover, a brief example has been included to focus on validate the nD-SOM-PINT proposal in other domain than the individual trajectory. Results confirm the high accuracy of the nD-SOM-PINT outperforming previous methods aimed to classify the same datasets.

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El espacio doméstico construido es un producto social que a su vez crea sociedad. La casa constituye un escenario privilegiado, un medio de expresión y transmisión de conductas y comportamientos. No obstante, resulta muy difícil comprender el espacio social a través de unas ruinas arqueológicas vacías y carentes de tercera dimensión, y se corre el riesgo de proyectar una imagen historiográfica previamente construida sobre las sociedades estudiadas. La comprensión del espacio social requiere formalizar y discutir los patrones formales de las estructuras domésticas y sus formas de agrupación. Este trabajo aborda el estudio de los espacios domésticos desde una perspectiva lingüística (una gramática de la casa), distinguiendo los elementos en sí y sus combinaciones. Se definen tres niveles distintos de análisis del hecho doméstico: el morfológico, que se ocupa de la forma de las unidades domésticas y de las transformaciones que experimentan; el sintáctico que enfatiza las relaciones entre las estructuras elementales en el marco de una estructura espacial organizada; y el semiótico, que las analiza como expresiones sociales, materialización e instrumento de significados culturales. De acuerdo a esta perspectiva se propone una reflexión metodológica sobre la caracterización de los espacios domésticos medievales e islámicos en la Península Ibérica; se plantean los problemas derivados del uso social del espacio, los modelos domésticos y su diacronía, y se discute acerca de la casa como indicador material de islamización.

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Un recorrido por la producción de Le Corbusier evidencia la insistente presencia del cuadrado como base de las composiciones en diversos campos (urbanismo, arquitectura, pintura, mobiliario...) y en diferentes formatos (en planta, alzado y sección, o como marco, módulo y cuadrícula). La presente comunicación realiza un análisis formal (gráfico y simbólico) de sus proyectos y obras, rastreando los modos en que se utiliza el cuadrado permaneciendo en el tiempo como una constante recurrente. Para ello se recorren cuatro áreas temáticas que descienden en escala y en dimensiones: 1) capitolios, 2) museos, 3) pabellones y 4) casas, estudiando una serie de ejemplos en cada área a partir de los planos de la Fundación Le Corbusier, generando discursos que reconstruyen un hilo del tiempo en la evolución de los procesos compositivos. De este modo, se desgrana el empleo del cuadrado, en correspondencia con las áreas de estudio, como: 1º) perímetro de la plaza pública donde insertar las arquitecturas representativas, 2º) marco o caja-fuerte donde encerrar los tesoros artísticos (o sagrados), 3º) volumen cúbico abierto y desmontable y 4º) caja definida por la retícula de la estructura. El cuadrado es siempre un medio y no un fin. Persiste un intento de sugerir algunos de los orígenes en su formación clasicista, sus viajes y sus pinturas.