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  <channel rdf:about="http://hdl.handle.net/2122/271">
    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2122/271</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li resource="http://hdl.handle.net/2122/8701" />
        <rdf:li resource="http://hdl.handle.net/2122/8700" />
        <rdf:li resource="http://hdl.handle.net/2122/8654" />
        <rdf:li resource="http://hdl.handle.net/2122/8571" />
        <rdf:li resource="http://hdl.handle.net/2122/8518" />
        <rdf:li resource="http://hdl.handle.net/2122/8506" />
        <rdf:li resource="http://hdl.handle.net/2122/8320" />
        <rdf:li resource="http://hdl.handle.net/2122/8311" />
        <rdf:li resource="http://hdl.handle.net/2122/8098" />
        <rdf:li resource="http://hdl.handle.net/2122/8082" />
      </rdf:Seq>
    </items>
    <dc:date>2013-05-19T14:02:23Z</dc:date>
  </channel>
  <item rdf:about="http://hdl.handle.net/2122/8701">
    <title>Testing the IONORT-ISP system: A comparison between synthesized and measured oblique ionograms</title>
    <link>http://hdl.handle.net/2122/8701</link>
    <description>Title: Testing the IONORT-ISP system: A comparison between synthesized and measured oblique ionograms
Authors: Settimi, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Pezzopane, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Pietrella, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Bianchi, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Scotto, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Zuccheretti, E.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Makris, J.; Technological Educational Institute of Crete, P.O. Box 1939 Chania, Crete, Greece
Abstract: The three-dimensional (3-D) electron density representation of the ionosphere computed by the assimilative IRI-SIRMUP-P (ISP) model was tested using IONORT (IONOspheric Ray-Tracing), a software application for calculating a 3-D ray-tracing for high frequency (HF) waves in the ionospheric medium. A radio link was established between Rome (41.8°N, 12.5°E) in Italy, and Chania (35.7°N, 24.0°E) in Greece, within the ISP validity area, and for which oblique soundings are conducted. The ionospheric reference stations, from which the autoscaled foF2 and M(3000)F2 data and real-time vertical electron density profiles were assimilated by the ISP model, were Rome (41.8°N, 12.5°E) and Gibilmanna (37.9°N, 14.0°E) in Italy, and Athens (38.0°N, 23.5°E) in Greece. IONORT was used, in conjunction with the ISP and the International Reference Ionosphere (IRI) 3-D electron density grids, to synthesize oblique ionograms. The comparison between synthesized and measured oblique ionograms, both in terms of the ionogram shape and the maximum usable frequency characterizing the radio path, demonstrates both that the ISP model can more accurately represent real conditions in the ionosphere than the IRI, and that the ray-tracing results computed by IONORT are reasonably reliable.</description>
    <dc:date>2013-05-02T22:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8700">
    <title>Magnetic anomalies of steel drums: a review of the literature and research results of the INGV</title>
    <link>http://hdl.handle.net/2122/8700</link>
    <description>Title: Magnetic anomalies of steel drums: a review of the literature and research results of the INGV
Authors: Marchetti, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Sapia, V.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Settimi, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia
Abstract: The detection and evaluation of the status of disposal sites that contain&#xD;
hazardous waste materials is becoming an increasingly important element&#xD;
in environmental investigations. Close cooperation between the Istituto&#xD;
Nazionale di Geofisica e Vulcanologia (INGV; National Institute of Volcanology&#xD;
and Geophysics) in Rome and the Italian environmental police&#xD;
has resulted in numerous underground investigations of different buried&#xD;
materials. Among the geophysical investigation tools, magnetometry is the&#xD;
most effective, rapid and precise of all of the geophysical methods for localizing&#xD;
buried steel drums. Analysis of magnetic map anomalies can provide&#xD;
a variety of information about buried materials, including extension,&#xD;
distribution and depth, with processing of the acquired magnetic data.&#xD;
This information is also very useful in case of excavations that are aimed&#xD;
at the recovery of hazardous waste. This study determines the most relevant&#xD;
analyses reported in the literature, with modeling of magnetometric&#xD;
methods for environmental applications both theoretically and experimentally.&#xD;
Some studies and research results achieved by the INGV in relation&#xD;
to magnetic anomalies produced by buried steel drums are also&#xD;
reported, as found in field operations and as achieved from test sites.</description>
    <dc:date>2013-04-18T22:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8654">
    <title>A second order accurate numerical model for multiphase underexpanded volcanic jets</title>
    <link>http://hdl.handle.net/2122/8654</link>
    <description>Title: A second order accurate numerical model for multiphase underexpanded volcanic jets
Authors: Carcano, S.; MOX – Modelling and Scientific Computing, Dipartimento di Matematica F. Brioschi, Politecnico di Milano, Milano, Italy; Bonaventura, L.; MOX – Modelling and Scientific Computing, Dipartimento di Matematica F. Brioschi, Politecnico di Milano, Milano, Italy; Neri, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia; Esposti Ongaro, T.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia
Abstract: An improved version of the PDAC (Pyroclastic Dispersal Analysis Code) numerical model for the simulation of multiphase volcanic flows is presented and validated for the simulation of multiphase volcanic jets in supersonic regimes. The present version of PDAC includes second-order time and space discretizations and fully multidimensional advection discretizations, in order to reduce numerical diffusion and enhance the accuracy of the original model. The resulting numerical model is tested against the problem of jet decompression in both two and three dimensions. For homogeneous jets, numerical results show a good quantitative agreement with experimental results on the laboratory scale in terms of Mach disk location (Lewis and Carlson, 1964). For multiphase jets, we consider monodisperse and polydisperse mixtures of particles with different diameter. For fine particles, for which the pseudogas limit is valid, the multiphase model correctly reproduces predictions of the pseudogas model. We obtain that particles are in mechanical and thermal equilibrium with the gas phase and the jet decompression structure is in quantitative agreement with pseudogas results (Ogden et al., 2008b). For both fine and coarse particles, we measure the importance of multiphase effects with relation to the characteristic time scales of multiphase jets and we quantify how particles affect the average jet dynamics in terms of pressure, mixture density, vertical velocity and temperature. Furthermore, time dependent vent conditions are introduced, in order to achieve numerical simulation of eruption regimes characterized by transient jet behaviour. We show how in case of rapid change in vent conditions, volcanic jet structures do not evolve through a succession of steady state configurations and the transition between different flow conditions can result in the collapse of the volcanic column.</description>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8571">
    <title>Application of Kriging Technique to Seismic Intensity Data</title>
    <link>http://hdl.handle.net/2122/8571</link>
    <description>Title: Application of Kriging Technique to Seismic Intensity Data
Authors: De Rubeis, V.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia; Tosi, P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia; Gasparini, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia; Solipaca, A.; Istituto Nazionale di Statistica
Abstract: Spatial analysis, involving experimental semivariogram evaluation and&#xD;
kriging interpolation, is performed on macroseismic intensity data assumed to represent&#xD;
a regionalized variable. A semivariogram is modeled, showing that data components&#xD;
act at different scale levels. Interpretation of the semivariogram in terms of&#xD;
fractal dimension allows separation of the error component from other scaledependent&#xD;
components. Use of an objective best spatial-range determination for filtering&#xD;
eliminates the subjective choice that is usually based on data-sampling density,&#xD;
permitting the reconstruction of the smoothed interpolated intensity field. Results are&#xD;
given together with error estimation due to local variability and sampling-density&#xD;
distribution. The method is first applied to synthetic macroseismic data with controlled&#xD;
variable error content and sampling density: the ability to rebuild the original,&#xD;
error-free intensity field is demonstrated. Then macroseismic data from an Italian&#xD;
medium-intensity earthquake are analyzed and spatial intensity attenuation reevaluated.</description>
    <dc:date>2004-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8518">
    <title>Progettazione dell'infrastruttura per la gestione e l'hosting del portale web dell'Osservatorio Etneo dell'Istituto Nazionale di Geofisica e Vulcanologia</title>
    <link>http://hdl.handle.net/2122/8518</link>
    <description>Title: Progettazione dell'infrastruttura per la gestione e l'hosting del portale web dell'Osservatorio Etneo dell'Istituto Nazionale di Geofisica e Vulcanologia
Authors: Mangiagli, Salvatore; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; D'Agostino, Marcello; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Reitano, Danilo; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Torrisi, Orazio; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia</description>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8506">
    <title>Sensitivity analysis of the MAGFLOW Cellular Automaton model</title>
    <link>http://hdl.handle.net/2122/8506</link>
    <description>Title: Sensitivity analysis of the MAGFLOW Cellular Automaton model
Authors: Bilotta, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Cappello, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Herault, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Vicari, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Russo, G.; Dipartimento di Matematica e Informatica, Università di Catania; Del Negro, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia
Abstract: MAGFLOW is a physics-based numerical model for lava flow simulations based on the Cellular Automaton approach that has been successfully used to predict the lava flow paths during the recent eruptions on Mt Etna. We carried out an extensive sensitivity analysis of the physical and rheological parameters that control the evolution function of the automaton and which are measured during eruptive events, in an effort to verify the reliability of the model and improve its applicability to scenario forecasting. The results obtained, which include Sobol' sensitivity indices computed using polynomial chaos expansion, confirm the consistency of MAGFLOW with the underlying physical model and identify water content and solidus temperature as critical parameters for the automaton. Additional tests also indicate that flux rates can have a strong influence on the emplacement of lava flows, and that to obtain more accurate simulations it is better to have continuous monitoring of the effusion rates, even if with moderate errors, rather than sparse accurate measurements.</description>
    <dc:date>2012-06-30T22:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8320">
    <title>IONORT: A Windows software tool to calculate the HF ray tracing in the ionosphere</title>
    <link>http://hdl.handle.net/2122/8320</link>
    <description>Title: IONORT: A Windows software tool to calculate the HF ray tracing in the ionosphere
Authors: Settimi, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Azzarone, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Bianchi, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Pezzopane, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Scotto, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; Pietrella, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia
Editors: Monorchio, A.; Universita` di Pisa via Diotisalvi 2 -- 56126 PISA
Abstract: This proceeding describes an applicative software tool, named IONORT (IONOspheric Ray Tracing), for calculating a three-dimensional ray tracing of high frequency waves in the ionospheric medium. This tool runs under Windows operating systems and its friendly graphical user interface facilitates both the numerical data input/output and the two/three-dimensional visualization of the ray path. In order to calculate the coordinates of the ray and the three components of the wave vector along the path as dependent variables, the core of the program solves a system of six first order differential equations, the group path being the independent variable of integration. IONORT uses a three-dimensional electron density specification of the ionosphere, as well as geomagnetic field and neutral particles-electrons collision frequency models having validity in the area of interest.</description>
    <dc:date>2012-05-29T22:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8311">
    <title>Multiphase flow dynamics of pyroclastic density currents during the May 18, 1980 lateral blast of Mount St. Helens</title>
    <link>http://hdl.handle.net/2122/8311</link>
    <description>Title: Multiphase flow dynamics of pyroclastic density currents during the May 18, 1980 lateral blast of Mount St. Helens
Authors: Esposti Ongaro, T.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia; Clarke, A. B.; School of Earth and Space Exploration, Arizona State University, Tempe, Arizona, USA; Voight, B.; Department of Geosciences, Penn State University, University Park, Pennsylvania, USA; Neri, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia; Widiwijayanti, C.; Earth Observatory of Singapore, Nanyang Technological University, Singapore
Abstract: The dynamics of the May 18, 1980 lateral blast at Mount St. Helens, Washington (USA), were studied by means of a three-dimensional multiphase flow model. Numerical simulations describe the blast flow as a high-velocity pyroclastic density current generated by a rapid expansion (burst phase, lasting less than 20 s) of a pressurized polydisperse mixture of gas and particles and its subsequent gravitational collapse and propagation over a rugged topography. Model results show good agreement with the observed large-scale behavior of the blast and, in particular, reproduce reasonably well the front advancement velocity and the extent of the inundated area. Detailed analysis of modeled transient and local flow properties supports the view of a blast flow led by a high-speed front (with velocities between 100 and 170 m/s), with a turbulent head relatively depleted in fine particles, and a trailing, sedimenting body. In valleys and topographic lows, pyroclasts accumulate progressively at the base of the current body after the passage of the head, forming a dense basal flow depleted in fines (less than 5 wt.%) with total particle volume fraction exceeding 10−1 in most of the sampled locations. Blocking and diversion of this basal flow by topographic ridges provides the mechanism for progressive current unloading. On ridges, sedimentation occurs in the flow body just behind the current head, but the sedimenting, basal flow is progressively more dilute and enriched in fine particles (up to 40 wt.% in most of the sampled locations). In the regions of intense sedimentation, topographic blocking triggers the elutriation of fine particles through the rise of convective instabilities. Although the model formulation and the numerical vertical accuracy do not allow the direct simulation of the actual deposit compaction, present results provide a consistent, quantitative model able to interpret the observed stratigraphic sequence.</description>
    <dc:date>2012-06-25T22:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8098">
    <title>Multivariate time series clustering on geophysical data recorded at Mt. Etna from 1996 to 2003</title>
    <link>http://hdl.handle.net/2122/8098</link>
    <description>Title: Multivariate time series clustering on geophysical data recorded at Mt. Etna from 1996 to 2003
Authors: Di Salvo, R.; Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Università degli Studi di Catania, Facoltà di Ingegneria, Italy; Montalto, P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Nunnari, G.; Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Università degli Studi di Catania, Facoltà di Ingegneria, Italy; Neri, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Puglisi, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia
Abstract: Time series clustering is an important task in data analysis issues in order to extract implicit, previously unknown,&#xD;
and potentially useful information froma large collection of data. Finding useful similar trends inmultivariate time&#xD;
series represents a challenge in several areas including geophysics environment research. While traditional time&#xD;
series analysis methods deal only with univariate time series, multivariate time series analysis is a more suitable&#xD;
approach in the field of researchwhere different kinds of data are available. Moreover, the conventional time series&#xD;
clustering techniques do not provide desired results for geophysical datasets due to the huge amount of data&#xD;
whose sampling rate is different according to the nature of signal. In this paper, a novel approach concerning geophysical&#xD;
multivariate time series clustering is proposed using dynamic time series segmentation and Self Organizing&#xD;
Maps techniques. This method allows finding coupling among trends of different geophysical data&#xD;
recorded from monitoring networks at Mt. Etna spanning from 1996 to 2003, when the transition from summit&#xD;
eruptions to flank eruptions occurred. This information can be used to carry out a more careful evaluation of the&#xD;
state of volcano and to define potential hazard assessment at Mt. Etna.</description>
    <dc:date>2012-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2122/8082">
    <title>Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining</title>
    <link>http://hdl.handle.net/2122/8082</link>
    <description>Title: Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
Authors: Cassisi, C.; Dipartimento di Matematica e Informatica, Universita` degli studi di Catania, Catania, Italy; Montalto, P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Aliotta, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Cannata, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia; Pulvirenti, A.; Dipartimento di Matematica e Informatica, Universita` degli studi di Catania, Catania, Italy
Editors: Karahoca, A.; Bahcesehir University, Engineering Faculty
Abstract: The chapter is organized as follows. Section 2 will introduce the similarity matching&#xD;
problem on time series. We will note the importance of the use of efficient data structures to&#xD;
perform search, and the choice of an adequate distance measure. Section 3 will show some&#xD;
of the most used distance measure for time series data mining. Section 4 will review the&#xD;
above mentioned dimensionality reduction techniques.</description>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </item>
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