197,438 research outputs found
Geologia, geomorfologia e stratigrafia
No full textThe Ca’ Nova site is part of the upper Parma Apennines and is located in the basin of the Gotra stream, a few hundred metres SE of Monte Chiaro (724 m above sea level), at an average altitude of 675-680 m above sea level.
The landscape displays a wide variety of morphological features resulting from the action of morphogenetic processes on a lithologically heterogeneous substrate. The site
falls within the geological unit known as the Casanova Complex (Cretaceous) of the
Ottone Tectonic Unit, consisting of coarse clastic deposits with turbiditic intercalations and heterometric strips of oceanic and continental lithosphere; a total of four lithozones can be distinguished without a precise stratigraphic order. Towards the south, there are tectonically extensive patches referable to serpentinites. The slopes of Mount Chiaro, often disrupted by landslides and glides and cut by small watersheds, delimit the site to the west.
In the immediate vicinity of the site, forms and deposits related to runoff and channelled water flow are identified. The mechanical action of direct rainfall and the runoff of surface water generate erosion phenomena on the slopes, favouring the formation of thick colluvial deposits at the foot of the slopes. It is probable that at the time of the settlement a minor hydrographic network was present, which ensured the outflow of surface waterand allowed the formation of small lake basins or ponds, then progressively filled by debris-colluvial deposits from the surrounding slopes.
The stratigraphic sequence uncovered in the trench of the methane pipeline, which
crossed the northern sector of the excavation area, is located within a large natural depression. This has been the subject of stratigraphic characterization (facies analysis) and micromorphological analysis.
The stratigraphy lies on a powerful debris-colluvial deposit (SU 15), which was covered
by partially laminated fine sediments of a ‘lacustrine’ nature (SU 14 and 13), as indicated by the presence of peat and diatoms, and then by additional colluvial sediments with characteristics indicating the establishment of transient hydromorphic conditions (SU 12). Chiefly, SU 13 appears to be rich in carbon fragments pertaining to silver fir, which due to their characteristics, including size, appear to be connected with repeated and
extensive forest fires. Finally, the sequence is covered by colluvial deposits (SU 11) from the surrounding areas, in which the Bronze Age artefacts are concentrated, accompanied by angiosperm charcoals, possibly from combustion structures.
In the southern sector of the excavation area, descriptive data and micromorphological
analysis made it possible to reconstruct the geological-stratigraphic model of the
area, highlighting five main types of debris-colluvial deposit that characterize the natural depositional succession. Particular attention was paid to the analysis of the filling facies of two artificial structures (Structure 1 and Structure 2), probably constructed for the drainage or collection of surface water. They were later filled in by natural colluvium, but also by anthropic activities. The analytical description of the charcoal remains at the top of one of the fills of Structure 2 leads to the identification of a burnt stump, which immediately preceded the preparation of an artificial surface, where valuable finds were unearthed
Particle identification by plastic flash-chambers
No full textThe possibility to utilize plastic flash-chamber systems for particle identification is investigated. It is first pointed out that a many-layer system of thin-wall extruded flash cells is suitable for ionization measurements, and might be applied e.g. to a search for e/3 quarks. The development of the cascade showers in a plasttic flash calorimeter model containing 20 Pb plates 0.5 cm thick and 30 Fe plates 5 cm thick, alternated with flash chambers,is then simulated by Monte Carlo programs, for primary electrons and pions of various energies from 1 to 200 GeV. Analysis of the results of this simulation show that the detector is capable to identify muons, γ's, electrons and charged hadrons with good confidence level. © 1979
Synthesis and conclusions
No full textFrom a cultural perspective, the Ca’ Nova site
is a significant landmark in the Ligurian-Emilian
Apennines for the definition of the BINO
culture, which appears here (as in the sites of
Drusco in the Ceno Valley and Travo in the
Trebbia Valley), to be devoid of Terramare influences.
It should be remembered that the Parma
Apennines is a culturally nonhomogeneous territory,
being divided between the Terramare and
the BINO Cultures. As is well known, the former
occupies the central part of the Po Valley and the
Apennines of Reggio Emilia and Modena, the
latter the vast territories from western Lombardy
to Provence. A sort of border strip between
these two cultural aspects seems to run from the
upper valley of the Enza stream in the east to the
first hills between the river Taro and the Stirone
stream in the west. Ca’ Nova falls entirely within
the Western Culture territory, although it was
active as early as the middle phase of the Middle
Bronze Age, a period in which the Terramare
area of influence appears particularly extensive,
as indicated by the spread of Terramare-style
pottery finds in the Parma Apennines, much
wider in this phase than later
Il sito di età del Bronzo di Ca’ Nova di Albareto nel contesto territoriale dell’alta valle del Taro
No full textDurante il II millennio BC, mentre nella pianura l’ intera Emilia condivide la cultura
delle Terramare, nell’ Appennino dell’ Emilia occidentale l’ evidenza archeologica mostra
un’ area di confine tra la cultura delle Terramare e la cultura denominata BINO (età del
Bronzo del Nord-Ovest). Si nota che il numero di siti per Km2 nell’ Appennino parmense
orientale, reggiano e modenese è molto maggiore che in quello parmense occidentale,
pur tendo presente che quest’ ultimo territorio è noto più che altro da ricerche di superficie.
L’ area in cui il confine è stato identificato è la valle del Taro e del Ceno; l’ analisi della
visibilità e inter-visibilità dei siti, condotta in ambiente GIS, aiuta a distinguere i diversi
distretti regionali. L’ importanza dell’ afferenza della cultura materiale del sito di Ca’ Nova
alla cultura BINO (il primo sito scavato puramente BINO, senza testimonianze terramaricole,
sul lato orientale della Val Taro), insieme alla sua posizione apparentemente isolata
incoraggia a studiare l’ intera area circostante anche valutando l’ acclività dei terreni
e applicando la Least Cost Path Analisys (LCPA) per individuare la rete dei percorsi che
connettevano la pianura padana con la Liguria e la Toscana. I risultati di queste analisi,
insieme all’ alto livello di controllo territoriale attribuito al sito dall’ analisi di visibilità,
dimostra che il sito di Ca’ Nova poteva essere strategico per il controllo di un sistema di
strade che incrociavano l’ Appennino per raggiungere risorse importanti quali il sale o il
metallo o, come è documentato per il Medio Evo, per la transumanza.While in the Po Valley in the 2nd millennium BC the Emilian region was inhabited
by populations sharing the same material culture (Terramare culture), in the western
Emilian Apennines the archaeological evidence shows a boundary area between the Terramare
culture and the BINO (Bronze Age of North-West Italy) culture. Even though
the Emilian Apennines are mainly known from surface surveys and finds, it should be
noted that the number of sites per square kilometre in the eastern part of the province
of Parma and in the provinces of Reggio Emilia and Modena is significantly higher than
in the western provinces of Parma and Piacenza, perhaps due to the different settlement
pattern of the two cultures. The area where this boundary has been identified is the
valley of the Taro and Ceno rivers (the latter being a tributary of the former), and a GIS
analysis of viewshed and intervisibility has already been carried out to try to distinguish
the different sub-regional districts. The importance of the cultural affiliation of the material
culture of Ca’ Nova to BINO (the first excavated site with only genuine BINO and
no Terramare material culture in the eastern Taro valley) and its apparently isolated position,
suggested that the wider aerial context of the site should be investigated also using
slope analysis and LCPA to study the possible pathway system that would connect the Po plain with Liguria and Tuscany. The results of these analyses, together with the high level
of territorial control attributed to the site by the viewshed analysis, seem to demonstrate
that the position of Ca’ Nova was highly strategic for the control of a possible system of
routes that crossed the Apennine ridge to reach important resources such as salt or metals,
or (as documented in the Middle Ages) for the movement of transhumant livestock
RE: Prosthetic Breast Implant Rupture: ImagingâPictorial Essay: Full Cooperation Between Surgeon and Radiologist: âThe Best of Both Worldsâ
No full textCooperation between plastic surgeons and radiologists is fundamental when breast prosthesis rupture is suspected. We describe our experience managing the case of suspected implant rupture in a patient that underwent CT scan imaging for thoracic pain. Poor clinical information given to radiologists leads to wrong diagnosis: during surgery, both prostheses were checked revealing no signs of rupture. Full communication among different specialists involved in the multidisciplinary approach is always recommended, and an easy-to-use national breast implant register would allow a better management of patients' follow-up and eventual preoperative planning
INTEGRATING OPTICAL AND RADAR IMAGERY TO ENHANCE RIVER DROUGHT MONITORING
Get PDFDrought events are growingly affecting European and Italian territories, hampering local environments and biodiversity, such as the ones relying on rivers for their subsistence. Monitoring of rivers is becoming an important issue to face drought crisis and may be exploited with different tools. Among the most commons, satellite imagery is exploited to map water coverage, basing on optical or radar sources. This work proposes a combination of the two sensors to overcome possible limitations of the single dataset exploitation, reaching a reliable result. The methodology is applied to a stretch of Po River in Lombardy region (Italy). Through Google Earth Engine platform, optical satellite Sentinel-2 and radar satellite Sentinel-1 data are processed. The combination of the radar data and of the optical spectral indices is carried out through a pixel-based supervised classification, with a Random Forest classifier. Maps of water coverage are obtained, numerical outcomes of water surface evaluation are recorded and validated by the mean of reference hydrometric data. A multitemporal analysis is then reported, aiming to prove the efficiency of the procedure. All iterations show reliable accuracies and correlation among water surface estimation and water table measurements in two sections of interest. In perspective, the proposed methodology will be implemented in tools for supporting drought monitoring to be integrated in environmental public administration policies
A Method Allowing Long Emulsion Exposures To High-energy Neutrinos Also In The Presence Of Intense Time Uncorrelated Background
No full textTowards automation of river water surface detection
Get PDFEuropean rivers are increasingly impacted by frequent and lasting dry periods, with consequences on jeopardized ecosystems and local economies. Tools for monitoring the evolution of such impacts may be profitable exploited by public administration to assess environmental conditions and draw safeguard policies. This work presents the evolution of a methodology which integrates optical and radar imagery, by Copernicus Sentinel constellations, to map river water surfaces. Despite the base methodology being developed as a man-supervised classification, with necessity for the user to manually define training polygons, the proposed advancements will allow the system to automate training sample extraction. The process is based on the realization of binary masks, originated by processing optical and radar imagery with a BMax Otsu algorithm for image segmentation. The masks are then furtherly refined to obtain a reliable set of classified pixels, from which the training samples are extracted. A sensitivity analysis is performed for assessing the optimal amount of pixels to be considered, with respect to the total area of interest. Furthermore, the performances of several Machine Learning supervised classification algorithms are compared, leading to the selection of the best algorithm to be considered for future developments of the methodology
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