scholarly journals Paleopathological studies in the inner Abruzzo Region (Central Italy)

2002 ◽  
Vol 19 ◽  
pp. 145-149
Author(s):  
Luca Ventura ◽  
Pietro Leocata ◽  
Domenico Mancinelli ◽  
Gaetano Miranda ◽  
Terenzio Ventura
Keyword(s):  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alessia Nava ◽  
Elena Fiorin ◽  
Andrea Zupancich ◽  
Marialetizia Carra ◽  
Claudio Ottoni ◽  
...  

AbstractThis paper provides results from a suite of analyses made on human dental material from the Late Palaeolithic to Neolithic strata of the cave site of Grotta Continenza situated in the Fucino Basin of the Abruzzo region of central Italy. The available human remains from this site provide a unique possibility to study ways in which forager versus farmer lifeways affected human odonto-skeletal remains. The main aim of our study is to understand palaeodietary patterns and their changes over time as reflected in teeth. These analyses involve a review of metrics and oral pathologies, micro-fossils preserved in the mineralized dental plaque, macrowear, and buccal microwear. Our results suggest that these complementary approaches support the assumption about a critical change in dental conditions and status with the introduction of Neolithic foodstuff and habits. However, we warn that different methodologies applied here provide data at different scales of resolution for detecting such changes and a multipronged approach to the study of dental collections is needed for a more comprehensive and nuanced understanding of diachronic changes.


Geosciences ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 466
Author(s):  
Dieter Issler

Data on the disastrous snow avalanche that occurred on 18 January 2017 at the spa hotel Rigopiano, municipality of Farindola in the Abruzzo region of central Italy, are analyzed in different ways. The main results are the following. (i) The 2017 Rigopiano avalanche went beyond the run-out point predicted by the topographic-statistical α-β model with standard Norwegian calibration, while avalanches in neighboring paths appear to have run no farther than the β-point of their respective paths during the same period. (ii) The curvature and super-elevation of the trimline between 1500 and 1300 m a.s.l. indicate that the velocity of the front was around 40 m s−1. In contrast, the tail velocity of the avalanche can hardly have exceeded 25 m s−1 in the same segment. (iii) The deposits observed along all of the lower track and in the run-out zone suggest that the avalanche eroded essentially the entire snow cover, but fully entrained only a moderate amount of snow (and debris). The entrainment appears to have had a considerable decelerating effect on the flow front. (iv) Estimates of the degree to which different parts of the building were damaged is combined with information about the location of the persons in the building and their fates. This allows to refine a preliminary vulnerability curve for persons in buildings obtained from the 2015 Longyearbyen avalanche, Svalbard.


Phytotaxa ◽  
2019 ◽  
Vol 412 (1) ◽  
pp. 1-90 ◽  
Author(s):  
FABIO CONTI ◽  
GIAMPIERO CIASCHETTI ◽  
LUCIANO DI MARTINO ◽  
FABRIZIO BARTOLUCCI

The Majella National Park is located in Abruzzo region (Central Italy) and covers an area of 740 Km2. An updated checklist of the vascular plants growing in the park is here presented on the basis of extensive field surveys carried out from 1982 to 2018, analysis of relevant literature and review of herbarium specimens kept in APP, FI, NAP, RO, and Herb. Magellense. The park’s flora amounts to 2,286 specific and subspecific taxa (including 11 hybrids), belonging to 118 families and 694 genera. According to our results, 201 taxa are endemic to Italy; 136 taxa are reported for the first time in the park, of which two taxa are new for Abruzzo region; 73 taxa have not been confirmed in recent times and 42 are doubtfully occurring taxa. The Park represents the southern or northern border of their Italian distribution of 137 taxa. Moreover, Poa ligulata is confirmed for the flora of Italy. The non-native flora amounts to 110 taxa. The number of taxa recorded in the Majella National Park is one of the highest in a protected area within the Mediterranean Basin.


2020 ◽  
Vol 24 (6) ◽  
pp. 3135-3156
Author(s):  
Rossella Ferretti ◽  
Annalina Lombardi ◽  
Barbara Tomassetti ◽  
Lorenzo Sangelantoni ◽  
Valentina Colaiuda ◽  
...  

Abstract. The weather forecasts for precipitation have considerably improved in recent years thanks to the increase of computational power. This allows for the use of both a higher spatial resolution and the parameterization schemes specifically developed for representing sub-grid scale physical processes at high resolution. However, precipitation estimation is still affected by errors that can impact the response of hydrological models. To the aim of improving the hydrological forecast and the characterization of related uncertainties, a regional-scale meteorological–hydrological ensemble is presented. The uncertainties in the precipitation forecast and how they propagate in the hydrological model are also investigated. A meteorological–hydrological offline coupled ensemble is built to forecast events in a complex-orography terrain where catchments of different sizes are present. The Best Discharge-based Drainage (BDD; both deterministic and probabilistic) index, is defined with the aim of forecasting hydrological-stress conditions and related uncertainty. In this context, the meteorological–hydrological ensemble forecast is implemented and tested for a severe hydrological event which occurred over Central Italy on 15 November 2017, when a flood hit the Abruzzo region with precipitation reaching 200 mm (24 h)−1 and producing damages with a high impact on social and economic activities. The newly developed meteorological–hydrological ensemble is compared with a high-resolution deterministic forecast and with the observations (rain gauges and radar data) over the same area. The receiver operating characteristic (ROC) statistical indicator shows how skilful the ensemble precipitation forecast is with respect to both rain-gauge- and radar-retrieved precipitation. Moreover, both the deterministic and probabilistic configurations of the BDD index are compared with the alert map issued by Civil Protection Department for the event showing a very good agreement. Finally, the meteorological–hydrological ensemble allows for an estimation of both the predictability of the event a few days in advance and the uncertainty of the flood. Although the modelling framework is implemented on the basins of the Abruzzo region, it is portable and applicable to other areas.


Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 349
Author(s):  
Chiara Piccini ◽  
Rosa Francaviglia ◽  
Alessandro Marchetti

Organic matter, an important component of healthy soils, may be used as an indicator in sustainability assessments. Managing soil carbon storage can foster agricultural productivity and environmental quality, reducing the severity and costs of natural phenomena. Thus, accurately estimating the spatial variability of soil organic matter (SOM) is crucial for sustainable soil management when planning agro-environmental measures at the regional level. SOM variability is very large in Italy, and soil organic carbon (SOC) surveys considering such variability are difficult and onerous. The study concerns the Abruzzo Region (about 10,800 km2), in Central Italy, where data from 1753 soil profiles were available, together with a Digital Elevation Model (DEM) and Landsat images. Some morphometric parameters and spectral indices with a significant degree of correlation with measured data were used as predictors for regression-kriging (RK) application. Estimated map of SOC stocks, and of SOM related to USDA (United States Department of Agriculture) texture—an additional indicator of soil quality—were produced with a satisfactory level of accuracy. Results showed that SOC stocks and SOM concentrations in relation to texture were lower in the hilly area along the shoreline, pointing out the need to improve soil management to guarantee agricultural land sustainability.


2022 ◽  
Vol 137 ◽  
pp. 61-71
Author(s):  
A. Galderisi ◽  
G. Iezzi ◽  
G. Bianchini ◽  
E. Paris ◽  
J. de Brito

2020 ◽  
Author(s):  
Monia Calista ◽  
Valeria Menna ◽  
Enrico Miccadei ◽  
Nicola Sciarra

<p>According to their structural-geomorphological features, different types of landslides, with variable areal extension, largely affect the Abruzzo region (Central Italy) from the mountains to the coastal areas, contributing to the geomorphological evolution of the landscape.</p><p>In this work, we present the results of integrated investigations carried out in recent years in the Abruzzo piedmont and the coastal areas. In detail, we investigated the role of the morphostructural setting, seismic and meteorological factors in the development of piedmont landslides, and the geomorphological evolution, erosion and retreat processes widespread along clastic soft rock coasts of the region.</p><p>We investigated Ponzano landslide (Civitella del Tronto, Teramo), a large translational slide-complex landslide, affecting the Miocene–Pliocene pelitic-arenaceous bedrock, and the Castelnuovo landslide (Campli, Teramo) a complex (topple/fall-slide) landslide, which involved conglomerate rocks pertaining to terraced alluvial fan deposits of the Pleistocene superficial deposits. Both these landslides occurred in the NE Abruzzo hilly piedmont in February 2017, causing severe damage and evacuees. Regarding the coastal area, we analyzed rockfalls, topples and translational landslides which characterize the active cliffs of Torre Mucchia, Punta Lunga, Punta Ferruccio (Ortona, CH) and Punta Aderci (Vasto, CH), composed of clayey-sandy-arenaceous-conglomeratic marine sequence (Early-Middle Pleistocene) covered by continental deposits (Late Pleistocene-Holocene). These coastal areas are popular tourist destinations, included in natural reserve areas with high tourism, natural and cultural landscape value.</p><p>Through this multidisciplinary approach, the lithological, geomorphological and structural-jointing features were estimated. Focusing on their role on the stability, processes and dynamics affecting Abruzzo piedmont and coastal sectors, it was possible to analyze the triggering factors, the landslide mechanisms and types, as well as the most critical and/or failure areas.</p><p>The obtained results outline how field and remote investigations combined with FLAC3D numerical modeling provide an effective approach in the analysis of landslides, strongly improving the identification and prediction of landscape changes and supporting a new geomorphological hazards assessment.</p>


2010 ◽  
Vol 10 (3) ◽  
pp. 447-458 ◽  
Author(s):  
M. T. Brunetti ◽  
S. Peruccacci ◽  
M. Rossi ◽  
S. Luciani ◽  
D. Valigi ◽  
...  

Abstract. In Italy, rainfall is the primary trigger of landslides that frequently cause fatalities and large economic damage. Using a variety of information sources, we have compiled a catalogue listing 753 rainfall events that have resulted in landslides in Italy. For each event in the catalogue, the exact or approximate location of the landslide and the time or period of initiation of the slope failure is known, together with information on the rainfall duration D, and the rainfall mean intensity I, that have resulted in the slope failure. The catalogue represents the single largest collection of information on rainfall-induced landslides in Italy, and was exploited to determine the minimum rainfall conditions necessary for landslide occurrence in Italy, and in the Abruzzo Region, central Italy. For the purpose, new national rainfall thresholds for Italy and new regional rainfall thresholds for the Abruzzo Region were established, using two independent statistical methods, including a Bayesian inference method and a new Frequentist approach. The two methods proved complementary, with the Bayesian method more suited to analyze small data sets, and the Frequentist method performing better when applied to large data sets. The new regional thresholds for the Abruzzo Region are lower than the new national thresholds for Italy, and lower than the regional thresholds proposed in the literature for the Piedmont and Lombardy Regions in northern Italy, and for the Campania Region in southern Italy. This is important, because it shows that landslides in Italy can be triggered by less severe rainfall conditions than previously recognized. The Frequentist method experimented in this work allows for the definition of multiple minimum rainfall thresholds, each based on a different exceedance probability level. This makes the thresholds suited for the design of probabilistic schemes for the prediction of rainfall-induced landslides. A scheme based on four probabilistic thresholds is proposed. The four thresholds separate five fields, each characterized by different rainfall intensity-duration conditions, and corresponding different probability of possible landslide occurrence. The scheme can be implemented in landslide warning systems that operate on rainfall thresholds, and on precipitation measurements or forecasts.


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