1,721,163 research outputs found

    Modeling and inversion of self-potential for hydrogeological and environmental applications

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    I potenziali spontanei sono potenziali elettrici quasi-statici di origine naturale generati da sorgenti distribuite nel sottosuolo. Le componenti principali sono il potenziale elettrochimico legato alla presenza del gradiente del potenziale redox e il potenziale elettrocinetico prodotto dal flusso dell’acqua che circola nei mezzi porosi. Al fine di riprodurre tali segnali di potenziale spontaneo in mezzi saturi eterogenei e anisotropi caratterizzati da geometrie complesse, l’attività di ricerca è stata incentrata sull’implementazione di un algoritmo in Matlab. La soluzione del problema diretto 2-D è stata ottenuta a partire da un modello di pressione o potenziale redox e dalla distribuzione di resistività elettrica tramite la formulazione numerica dell’equazione di Poisson. L’algoritmo agli elementi finiti sviluppato si è dimostrato essere stabile e accurato mediante procedure di simulazione rispetto a casi di studio sintetici e reali riportati in letteratura. Nel dettaglio, si è verificato che questo approccio può essere utilizzato per produrre modelli 2-D per l’individuazione e caratterizzazione dei flussi di infiltrazione d’acqua (seepage) attraverso i corpi-diga, per l’interpretazione di prove di emungimento e per l’identificazione e localizzazione di cavità isolate/forme carsiche superficiali esistenti, le quali costituiscono naturali vie di convogliamento delle acque meteoriche incidenti e corrivanti sulla superficie topografica nel sottosuolo. Per approfondire lo studio del potenziale elettrico generato dalla presenza di corpi metallici sepolti e validare l’algoritmo presentato per l’inversione dei dati di potenziale spontaneo, è stato effettuata una prova sperimentale. Sono state eseguite misure 2-D di potenziale e resistività elettrica su un modello fisico di laboratorio capace di simulare un acquifero, favorire le reazioni di ossido-riduzione e lo sviluppo progressivo dell’anomalia negativa in corrispondenza di un elemento in ferro a seguito del processo di corrosione. Test preliminari di laboratorio hanno messo in luce i principali problemi della campagna di misura provocati dalla tipologia di sabbia utilizzata e dagli errori di misura sugli elettrodi. L’apparato sperimentale, dopo opportune modifiche e la minimizzazione dei suddetti errori, ha fornito misure stabili e ripetibili. I valori di potenziale spontaneo acquisiti in profondità e quelli di conducibilità elettrica sono stati forniti all’algoritmo di inversione basato sul metodo LSQR e utilizzati per ricostruire fedelmente la distribuzione della densità di corrente esterna, nonchè per riprodurre il modello di "geo-batteria". Inoltre, simulazioni numeriche eseguite su un sintetico di laboratorio e su dati di campagna acquisiti nell’ambito di un’indagine condotta per la localizzazione di sinkhole incipienti nella piana di San Vittorino (RI), hanno fornito dei modelli finali con valori limitati di errore e una buona ricostruzione delle anomalie sia in termini di forma che posizione. L’intero processing geofisico (elaborazione dei dati, modellazione e inversione) è stato incluso all’interno di un codice in Matlab interattivo, il quale consente di lavorare sia su dati ricavati da indagini di campagna che su quelli ottenuti da sperimentazioni in laboratorio grazie alla flessibilità e affidabilità raggiunta dalla modellazione e dall’inversione, con l’obiettivo primario di estendere tale approccio risolutivo alla più ampia casistica di applicazioni del metodo del potenziale spontaneo dal punto di vista geologico, in ambito idrogeologico, in campo ambientale e ingegneristico.The self-potential method responds to chemical potential gradients of charges carriers creating polarization in the porous media. Of specific interest are the streaming potential due to fluid flow and the "electro-redox" effect associated with redox potential gradients. To evaluate the self-potential distribution resulting from all these charge polarisation mechanisms and enable the study of variably saturated flow problems of complicated geometry, a two-dimensional finite element algorithm is implemented in Matlab. This forward algorithm explicitly calculates the distribution of electric current sources and solves for the self-potential given a model of pressure and/or redox potential and prescribed values of electrical resistivity. The numerical procedure is verified to be accurate and stable through a comparison with synthetic simulations. The capacity for producing 2-D reconstruction of transient or steady state flow models in anisotropic, heterogeneous and water-saturated porous materials is illustrated throught the model of a leak in a dam, the case of a pumping test in an unconfined aquifer and the problem of coupled hydroelectric problem associated with the presence of a cavity. A new laboratory apparatus is presented to explain the physical and chemical mechanisms that generate self-potential anomalies in the vicinity of buried metallic objects and to validate a linear inversion algorithm. The controlled laboratory experiment involves a metallic body buried with vertical orientation and centered through and in the capillary fringe within a sandbox. Preliminary tests were performed to choose a right sand through a performance comparison among different materials and to evaluate approaches to remove electrode effects and provide adequate corrections. Large dipolar self-potential anomalies developed in association with the progressive corrosion of the vertical body. The inverse problem is solved by accounting for the electrical conductivity distribution and the self-potential data in order to recover the source current density vector field using a 2-D LSQR finite-element modeling approach. This experiment indicates that passively recorded electrical signals can be used to nonintrusively monitor corrosion processes, lending support to the geobattery model over organic contaminant plumes. Furthermore, synthetic and real simulations, performed on heterogeneous models with anomalies included, provide low-error inverted models whereas anomalies are well-detected both for shape and position. In particular the inversion algorithm was applied to a field data set collected in the San Vittorino Plain, located in Central Italy, in order to identify the location of sinkholes and investigate the effects of different resistivity structure assumptions on the SP inversion results. The whole geophysical process (data processing, forward modelling and inversion) has been included through an interactive Matlab algorithm divided in sections, where the operator can act to change. The algorithm is suitable for laboratory and field investigations, because of its high flexibility and reliability now reached by forward and inversion routines, with the primary aim of extending the approach to engineering and environmental applications

    "The Nightingale in a Cage": Ariosto and the Este Court

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    Studio sui rapporti fra l'Ariosto e la corte estens

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Radiocarbon measurement tests on OC/EC fractions of atmospheric aerosol at LABEC

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    Carbonaceous particles are among the main components of the atmospheric aerosol. They are mainly composed of soot and organic compounds. Large uncertainties still affect the estimates on source contributions, especially for what concerns natural emissions and secondary formation. The identification of natural, biomass burning, and fossil fuel combustion contributions is important for the development of efficient pollution abatement strategies and for the correct assessment of global radiative aerosol effects. 14C analysis on total carbon (TC) in atmospheric aerosol by accelerator mass spectrometry (AMS) is a good tool for the evaluation of the contributions from either fossil fuel combustion or modern sources (i.e. wood burning, biogenic activity). At our latitudes, wood burning has to be considered of anthropogenic origin; thus, further analyses are needed to identify natural and anthropogenic contributions. TC in the aerosol is composed by two main fractions: elemental (EC) and organic (OC) carbon, which have different thermal and optical properties. EC is produced only during combustion processes, while OC can be related to combustion processes or biogenic activity. Szidat et al. (2006) proposed the use of radiocarbon measurements on the separate OC and EC fractions of carbonaceous aerosol as a tool to separate natural and anthropogenic contributions. In the last years, a new sample preparation line for 14C analysis on aerosol was designed and set up at LABEC-INFN. The line was tested for TC: reproducibility, accuracy and background tests were performed, indicating that reliable results can be obtained for total carbon (Calzolai et al.,2010). In this work, the sample preparation line was tested for 14C analysis on OC and EC. Suitable sample pre-treatment procedures and thermal protocols were set up for a correct separation of the two fractions. Two different thermal protocols for EC isolation were tested. A few samples collected in Milan (Po Valley) during wintertime were analysed for TC and its fractions, thus allowing to obtain first indication on the apportionment of carbonaceous sources in the area. References Calzolai G., Bernardoni V., Chiari M., Fedi M., Lucarelli F., Nava S., Riccobono F., Taccetti F., Valli G., Vecchi R., Nucl. Instr. Meth. B, in press Szidat, S., Jenk, T.M., Synal, H.-A., Kalberer, M., Wacker, L., Hajdas, I., Kasper-Giebl, A. & Baltensperger, U. (2006). J. Geophys. Res., 111 D07206 12

    Variations on the Author

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    “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

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    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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