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  • 1
    Publication Date: 2016-07-01
    Print ISSN: 0375-6505
    Electronic ISSN: 1879-3576
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Geosciences
    Published by Elsevier
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  • 2
    Publication Date: 2016-12-01
    Print ISSN: 2214-5818
    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
    Published by Elsevier
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  • 3
    Publication Date: 2021-04-08
    Description: This contribution exposes the relative uncertainties associated with prediction patterns of landslide susceptibility. The patterns are based on relationships between direct and indirect spatial evidence of landslide occurrences. In a spatial database constructed for the modeling, direct evidence is the presence of landslide trigger areas, while indirect evidence is the presence of corresponding multivariate context in the form of digital maps. Five mathematical modeling functions are applied to capture and integrate evidence, indirect and direct, for separating landslide-presence areas from the areas of landslide assumed absence. Empirical likelihood ratios are used first to represent the spatial relationships. These are then combined by the models into prediction scores, ordered, equal-area ranked, displayed, and synthesized as prediction-rate curves. A critical task is assessing how uncertainty levels vary across the different prediction patterns, i.e., the modeling results visualized as fixed, colored groups of ranks. This is obtained by a strategy of iterative cross validation that uses only part of the direct evidence to model the pattern and the rest to validate it as a predictor. The conducted experiments in a mountainous area in northern Italy point at a research challenge that can now be confronted with relative rank-based statistics and iterative cross-validation processes. The uncertainty properties of prediction patterns are mostly unknown nevertheless they are critical for interpreting and justifying prediction results.
    Electronic ISSN: 2076-3417
    Topics: Natural Sciences in General
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  • 4
  • 5
    Publication Date: 2020-12-02
    Description: tStudy region: Italy.Study focus: The oxygen isotope composition from 266 pluviometers was used to study thespatial variability of 18O and its relationship with Italian orography. The local meteoricwater lines (LMWLs) of northern, southern and central Italy and Sicily are reformulatedand a new definition of isotopic variations with elevation is provided.New hydrological insights for the region: Altitude and, to a lesser extent, latitude are themain geographical factors affecting the isotopic signature of precipitation in Italy. A high-resolution map of the spatial distribution of18O content in precipitation was created usingthe identified relationship between 18O/Latitude-Altitude and the spatial distribution ofthe residuals. The general features of the 18O distribution map may be summarised asfollows: 18O distribution over the Alps clearly depends on latitude and altitude, whereasover the Apennines, which run down the whole peninsula from north-west to south-east,it is more affected by altitude, the contour lines roughly following the axis of the chain. Theisotope compositions on the western side of the peninsula are generally higher than thoseof the east at the same elevation and latitude; they are more or less uniform in the northernplain of Italy.
    Description: Published
    Description: 162-181
    Description: 6A. Geochimica per l'ambiente
    Description: N/A or not JCR
    Keywords: Precipitation ; Stable isotopes ; Local meteoric water line ; Vertical gradient ; Italy ; Mapping oxygen stable isotopes of precipitation in Italy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 6
    Publication Date: 2021-01-19
    Description: This contribution analyses the spatial support of sampling points used to express the presence or absence of NO3 ˉ pollution in the water table. A spatial database constructed for the assessment of ground water vulnerability is re-analysed with a different predictive strategy. In practice, a case study area surrounding the city of Milan in northern Italy becomes an opportunity to point at a very general prediction modelling problem in which the basic direct evidence of a process is obtained only by sampling with point like measurements of nitrate concentration, as the ones from drill holes or water wells. The main questions are: “What is the functional spatial support for the modelling?” and “What happens if different spatial supports are assumed?” The answers to these questions are counterintuitive. Over the area of study of about 2,000 km2 , the distribution of 305 water wells delimits a training area in which 133 wells are considered as impacted by nitrate pollution, i.e., direct supporting patterns of the modelling. The remaining 172 wells are considered as non-impacted. In the training area, nine natural and anthropogenic map data are assumed, as indirect supporting patterns of the modelling, to reflect both the potential source of nitrates and the relative ease in which nitrates may migrate in ground water. They cover the entire area of study. A mathematical model is used that computes spatial relationships between the direct and indirect supporting patterns based on empirical likelihood ratios. The relationships are integrated into prediction patterns and, by iterative cross-validations, into target and uncertainty patterns. These are then extended from the training area over the remaining much larger study areas for analysis and visualization. Square neighbourhoods of dimensions 20 × 20 m, 60 × 60 m, 180 × 180 m and 1,020 × 1,020 m around the 305 wells are used to delimit four training areas of different sizes. Surprisingly, the smaller spatial support appears as the most reliable.
    Description: Published
    Description: Online
    Description: 2TR. Ricostruzione e modellazione della struttura crostale
    Keywords: Risk Analysis ; Hazard Mitigation ; Modelling ; Acquifer vulnerability ; nitrate pollution ; empirical likelihood ratios ; spatial support ; prediction-rate curves ; prediction patterns ; uncertainty patterns ; Risk Analysis and Hazard Mitigation
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
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  • 7
    Publication Date: 2017-04-03
    Description: TRANSFER, acronym standing for “Tsunami Risk And Strategies For the European Region”, is a EU-funded research project coordinated by the Department of Physics of the University of Bologna, Italy, whose main objectives can be summarized in the following points: 1) improving our understanding of tsunami processes in the Euro- Mediterranean region, 2) contributing to the tsunami hazard, vulnerability and risk assessment, 3) identifying the best strategies for reduction of tsunami risk, 4) focussing on the gaps and needs for the implementation of an efficient tsunami early warning system (TEWS) in the Euro-Mediterranean area.
    Description: Published
    Description: Wien, Austria
    Description: 5.5. TTC - Sistema Informativo Territoriale
    Description: open
    Keywords: GIS database tsunami TRANSFER ; 04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 8
    Publication Date: 2020-02-11
    Description: Prediction patterns are generated using different data sets from a database for landslides hazard in northern Italy. A direct supporting pattern of the distribution of 28 complex landslides was previously used to obtain their spatial relationships with five categorical indirect supporting patterns representing the spatial context of the landslides: geology, land use, and permeability in addition to internal relief and slope, the latter two categorized into five classes. The five indirect supporting patterns were selected to minimize the effects of conditional dependence on prediction patterns by a Weight-of-Evidence model. The same set of patterns is reanalysed applying the Empirical Likelihood Ratio model using also uncategorized continuous supporting patterns: aspect, curvature, and digital elevation, in addition to internal relief and slope. The resulting prediction patterns are compared in terms of prediction rates and target-uncertainty patterns.
    Description: Published
    Description: 291-294
    Description: 2TR. Ricostruzione e modellazione della struttura crostale
    Description: N/A or not JCR
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 9
    Publication Date: 2020-05-29
    Description: The Tyrrhenian margin of central Italy is an area characterized by crustal thinning (〈25 km) and a high heat flow (〉300 mW/m2), which makes it attractive for medium to high-enthalpy geothermal projects. The main difficulties encountered in the geothermal exploitation of the area are not related to the thermal conditions, but rather to the lack of an adequate rock permeability at depth. The medium-high enthalpy geothermal reservoirs of central Italy are hosted in Mesozoic carbonate-evaporitic rocks. These rocks exhibit secondary fracture permeability, locally reduced by self-sealing processes, especially in areas of low seismicity. Also, a low partial pressure of CO2 (PCO2) may facilitate the complete sealing of the reservoir fractures, preventing the ascent of hot fluids and resulting in a low CO2 flux at the surface. Conversely, a high CO2 flux reflects a high pressure of CO2 at depth, that is suggestive of the presence of an active geothermal reservoir. Despite the possibility that also part of CO2 be dissolved into groundwater, a large amount of this non-condensable gas will reach the surface being emitted into the atmosphere by discrete manifestations (gas vents) or through diffuse soil emissions. This is particularly true in sites -such as Caldara di Manziana, hereafter (CM) characterized by cold-gas emissions, which have CO2 concentrations up to 97 vol. %. In this paper we present the results of a study carried out in the western zone of Sabatini Volcanic District (SVD; north of Rome, Italy) that hosts CM (and also Solfatara di Manziana-SM), one of the most spectacular CO2 gas manifestations of central Italy. This study estimated the temperature and pressure conditions of the reservoir and the depth of its top using geological, geochemical and geophysical data and the TIN (triangulated irregular networks) interpolator provided in the ArcGIS for Desktop software. A new structural setting of the Mesozoic carbonates in the CM site is proposed, and an estimation of its geothermal potential is presented on the base of the total (diffuse and viscous) CO2 release.
    Description: Published
    Description: Wien, Austria
    Description: 6A. Geochimica per l'ambiente
    Keywords: Geotermal potential ; Caldara di Manziana ; Estimation ; 3D modeling ; Geographical Information System ; Geochemistry ; Estimation of the geothermal potential of the Caldara di Manziana site
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 10
    Publication Date: 2020-02-10
    Description: This contribution stems from the exposure of two different approaches to the representation of natural hazard: regression analysis on one side and favourability models on the other. As a consequence a spatial database for landslide hazard prediction in central Slovenia was shared to experiment on spatial prediction via cross-validation techniques. Due to the peculiarities of the database three types of analyses were selected: (i) predictions using an Empirical Likelihood Ratio model and four types of landslides in a training area, and extended to a surrounding study area; (ii) iterative cross-validations to obtain target, uncertainty and their combination patterns; and (iii) separation of one type of landslides into two groups of well predicted and poorly predicted occurrences by a cross-validation with the target pattern. The importance is underlined of sharing databases to encourage broader views of methodologies and strategies in spatial modelling.
    Description: Published
    Description: 2TR. Ricostruzione e modellazione della struttura crostale
    Description: N/A or not JCR
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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