1,697 research outputs found

    Culverted rivers in the historic center of Genoa (Italy) as an emblematic case of human pressure and fluvial landscape changes

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    The city of Genoa is internationally known its the recurrent floods, mainly related to the Bisagno River. The high risk is linked to meteo-hydrological hazard and to the urbanisation in hazardous areas and consequently to the high exposure of risk elements. The present research concerns the hydrographic network that characterises the historical center of Genoa, i.e. the natural amphitheatre bordering the Polcevera valley to the W and the Bisagno valley to the E. In this area of just 8.5 km2 there are eight catchments ranging from 0.49 km2 to 2.36 km2 in size: from W to E we recognise the basins of the San Bartolomeo, San Lazzaro, San Teodoro, Lagaccio, Sant'Ugo, Carbonara, Sant'Anna and Torbido streams. These watercourses have been subject to anthropic modifications since the Middle Ages, sometimes with significant diversions, rectifications and channelling; today the watercourse network appears almost entirely artificial, flowing under the streets and buildings of the historic centre. The name of some alleys recalls their presence, which is otherwise not perceptible. Only the upper basin of the Lagaccio and San Lazzaro streams still have a watercourse with a natural riverbed, although the area is still significantly urbanised. The construction of these culverts over time and the modifications they have undergone over the following centuries up to very recent times due to progressive urbanisation have led to a reduction in the hydraulic cross-section, which can lead to a possible flow of water under pressure and the consequent flooding hazard. Therefore a better geographic knowledge of these culverted streams in Genoa historical city is crucial for hazard and risk assessments and for the planning of related hydraulic risk reduction activities

    Count-based imaging model for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter

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    The Spectrometer/Telescope for Imaging X-rays (STIX) will study solar flares across the hard X-ray window provided by the Solar Orbiter cluster. Similarly to the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI), STIX is a visibility-based imaging instrument that will require Fourier-based image reconstruction methods. However, in this paper we show that as for RHESSI, count-based imaging is also possible for STIX. Specifically, we introduce and illustrate a mathematical model that mimics the STIX data formation process as a projection from the incoming photon flux into a vector consisting of 120 count components. Then we test the reliability of expectation maximization for image reconstruction in the case of several simulated configurations that are typical of flare morphology

    Evidenze della rapida variazione di profondità della Moho, in corrispondenza dell'area di Città di Castello (Appennino Settentrionale), dall'analisi di funzioni ricevitore

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    In questo studio è stata sfruttata l’opportunità di poter analizzare dati provenienti da una densa rete sismica locale temporanea costituita da 30 stazioni a tre componenti, installata nell’ambito di un progetto del Gruppo Nazionale per la Difesa dei Terremoti (GNDT) nel periodo compreso fra l’Ottobre 2000-Maggio 2001, in un’area che si estende per circa 2800 km2 a circa 43° N in Appennino Settentrionale (Piccinini et al., 2003), al fine di ottenere un dettagliato andamento della topografia della Moho, in una zona così complessa, attraverso un’analisi delle Funzioni Ricevitore (Langston, 1979), definendo la struttura di velocità delle onde di taglio (S) al di sotto di ciascuna delle 28 stazioni sismiche. Sono stati analizzati circa 400 eventi telesismici registrati da 28 stazioni con valori di magnitudo M>5 e distanza epicentrale Δ compresi fra 25°-100°. Per il calcolo delle RFs è stato utilizzato il metodo sviluppato da Di Bona (1998), tale metodo consente di ottenere una stima della varianza, permettendo l’utilizzo di forme d’onda generate da eventi di bassa magnitudo (aventi valori di varianza accettabili), con un conseguente ampliamento del data-set. Modellando ampiezze e tempi di arrivo delle fasi Ps in funzione dell’azimuth di provenienza (BAZ) e della relativa distanza epicentrale (Δ), si possono ricostruire le geometrie delle superfici di discontinuità al di sotto delle stazioni sismiche. La fase di modellazione è stata condotta attraverso l’applicazione dell’algoritmo di inversione “neighbourhood” di Sambridge (1999) mediante un approccio monodimensionale. Questo metodo consente di campionare in maniera estensiva lo spazio dei parametri (profondità delle varie interfacce e valori di velocità negli strati compresi fra le interfacce), concentrando la ricerca in quelle regioni dello spazio multiparametrico dove i modelli di velocità trovati hanno un miglior misfit rispetto al dato (la RF) reale. Tale fase di modellazione ha consentito di ricostruire i modelli di velocità delle onde S (Vs) al di sotto di ciascuna stazione. L’analisi comparata dei modelli di velocità delle onde S (Vs) così ottenuti, per ogni singola stazione, mette in luce la natura fortemente eterogenea della porzione più superficiale della crosta dell’area in studio. Nonostante la complessità delle RFs calcolate che si riflette sulla eterogeneità della porzione più superficiale dei profili di Vs ottenuti, è stata individuata con buona continuità l’andamento di una superficie di discontinuità sismica da noi interpretata come transizione crosta-mantello superiore o Moho

    Determination of the Acceleration Region Size in a Loop-structured Solar Flare

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    In order to study the acceleration and propagation of bremsstrahlung-producing electrons in solar flares, we analyze the evolution of the flare loop size with respect to energy at a variety of times. A GOES M3.7 loop-structured flare starting around 23:55 on 2002 April 14 is studied in detail using \textit{Ramaty High Energy Solar Spectroscopic Imager} (\textit{RHESSI}) observations. We construct photon and mean-electron-flux maps in 2-keV energy bins by processing observationally-deduced photon and electron visibilities, respectively, through several image-processing methods: a visibility-based forward-fit (FWD) algorithm, a maximum entropy (MEM) procedure and the uv-smooth (UVS) approach. We estimate the sizes of elongated flares (i.e., the length and width of flaring loops) by calculating the second normalized moments of the intensity in any given map. Employing a collisional model with an extended acceleration region, we fit the loop lengths as a function of energy in both the photon and electron domains. The resulting fitting parameters allow us to estimate the extent of the acceleration region which is between 13arcsec\sim 13 \rm{arcsec} and 19arcsec\sim 19 \rm{arcsec}. Both forward-fit and uv-smooth algorithms provide substantially similar results with a systematically better fit in the electron domain.The consistency of the estimates from these methods provides strong support that the model can reliably determine geometric parameters of the acceleration region. The acceleration region is estimated to be a substantial fraction (1/2\sim 1/2) of the loop extent, indicating that this dense flaring loop incorporates both acceleration and transport of electrons, with concurrent thick-target bremsstrahlung emission.Comment: 8 pages, 5 figures, accepted to Astronomy and Astrophysics journa

    Crustal structure and Moho depth profile crossing the central Apennines (Italy) along the N42 degree parallel.

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    We present results from a teleseismic receiver-function study of the crustal structure in the central Apennines (Italy). Data from fifteen stations deployed in a linear transect running along the N42 degree parallel were used for the analysis. A total number of 364 receiver functions were analyzed. The crustal structure has been investigated using the neighborhood algorithm inversion scheme proposed by Sambridge [1999a], obtaining crustal thicknesses, bulk crustal VP/VS ratio and velocity-depth models. In each inversion, the degree of constraint of the different parameters has been appraised by the Bayesian inference algorithm by Sambridge [1999b]. The study region is characterized by crustal complexities and intense tectonic activity (recent volcanism, orogenesis, active extensional processes), and these complexities are reflected in the receiver functions. However, the relatively close spacing among the seismometers (about 20 km) helped us in the reconstruction of the crustal structure and Moho geometry along the transect. Crossing the Apennines from west to east, the Moho depth varies by more than 20 km, going from a relatively shallow depth (around 20 km) on the Tyrrhenian side, deepening down to about 45 km depth beneath the external front of the Apenninic orogen, and rising up again to about 30 km depth in correspondence of the Adriatic foreland. Despite the strong variability of the crustal thickness, the average crustal VS values show little variation along the transect, fluctuating around 3 km/s. The average VP values obtained from the VS and VP /VS are generally lower than 6 km/s

    Ornamental Stones of Piemonte (NW Italy): an updated geo-lithological map

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    The 'Ornamental Stones of Piemonte Region' geo-lithological map at 1:250,000 scale aims at reviewing the ornamental stone heritage of Piemonte at the regional scale. The map derives from a thorough revision of the available literature, integrated with some unpublished original data. The map shows the location of the main quarries of ornamental stones of the region, selected on the basis of their historical, cultural and architectonic relevance. A geo-lithological basemap was produced, deriving it from a basic Geological Map of Piemonte, available at the same scale. The large varieties of lithotypes of Piemonte have been resumed, in the new map, into 21 classes, which all the ornamental stones have been assigned to. The Main Map is enriched by some significant examples of using the ornamental stones in historical buildings, and it is supported by a supplementary data base containing essential information about the quarry sites and the quarried material
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