scholarly journals Characterization of biodiversity in six goat breeds reared in Southern Italy by means of microsatellite and SNP markers

2007 ◽  
Vol 6 (sup1) ◽  
pp. 95-97 ◽  
Author(s):  
A. Criscione ◽  
D. Marletta ◽  
T. Ådnøy ◽  
S. Bordonaro ◽  
A. M. Guastella ◽  
...  
Keyword(s):  
2013 ◽  
Vol 90 (3) ◽  
pp. 214-219 ◽  
Author(s):  
Giuseppina Lacerra ◽  
Romeo Prezioso ◽  
Gennaro Musollino ◽  
Giulio Piluso ◽  
Lucia Mastrullo ◽  
...  

Author(s):  
Youfu Lin ◽  
Zijin Qian ◽  
Shiyu Shen ◽  
Yicheng Huang ◽  
Yu Du ◽  
...  
Keyword(s):  

2010 ◽  
Vol 34 (4) ◽  
pp. 387-392 ◽  
Author(s):  
Anna Giannina Perugini ◽  
Maria Rosaria Carullo ◽  
Assunta Esposito ◽  
Vincenzo Caligiuri ◽  
Federico Capuano ◽  
...  

2021 ◽  
Author(s):  
N. Tragni ◽  
G. Calamita ◽  
L. Lastilla ◽  
V. Belloni ◽  
R. Ravanelli ◽  
...  

2018 ◽  
Vol 12 (2) ◽  
pp. 157-160
Author(s):  
Yeyu Chen ◽  
Huanchao Yang ◽  
Quan Gong ◽  
Yanling Chen ◽  
Quanyu Tu ◽  
...  

2018 ◽  
Vol 18 (11) ◽  
pp. 3019-3035 ◽  
Author(s):  
Marco Uzielli ◽  
Guido Rianna ◽  
Fabio Ciervo ◽  
Paola Mercogliano ◽  
Unni K. Eidsvig

Abstract. In recent years, flow-like landslides have extensively affected pyroclastic covers in the Campania region in southern Italy, causing human suffering and conspicuous economic damages. Due to the high criticality of the area, a proper assessment of future variations in event occurrences due to expected climate changes is crucial. The study assesses the temporal variation in flow-like landslide hazard for a section of the A3 “Salerno–Napoli” motorway, which runs across the toe of the Monte Albino relief in the Nocera Inferiore municipality. Hazard is estimated spatially depending on (1) the likelihood of rainfall-induced event occurrence within the study area and (2) the probability that the any specific location in the study area will be affected during the runout. The probability of occurrence of an event is calculated through the application of Bayesian theory. Temporal variations due to climate change are estimated up to the year 2100 through an ensemble of high-resolution climate projections, accounting for current uncertainties in the characterization of variations in rainfall patterns. Reach probability, or defining the probability that a given spatial location is affected by flow-like landslides, is calculated spatially based on a distributed empirical model. The outputs of the study predict substantial increases in occurrence probability over time for two different scenarios of future socioeconomic growth and atmospheric concentration of greenhouse gases.


2018 ◽  
Vol 243 ◽  
pp. 272-281 ◽  
Author(s):  
Jessica Bellanova ◽  
Giuseppe Calamita ◽  
Alessandro Giocoli ◽  
Raffaele Luongo ◽  
Maria Macchiato ◽  
...  

Geosciences ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 416
Author(s):  
Enrico Paolucci ◽  
Giuseppe Cavuoto ◽  
Giuseppe Cosentino ◽  
Monia Coltella ◽  
Maurizio Simionato ◽  
...  

A first-order seismic characterization of Northern Apulia (Southern Italy) has been provided by considering geological information and outcomes of a low-cost geophysical survey. In particular, 403 single-station ambient vibration measurements (HVSR techniques) distributed within the main settlements of the area have been considered to extract representative patterns deduced by Principal Component Analysis. The joint interpretation of these pieces of information allows the identification of three main domains (Gargano Promontory, Bradanic Through and Southern Apennines Fold and Thrust Belt), each characterized by specific seismic resonance phenomena. In particular, the Bradanic Through is homogeneously characterized by low frequency (<1 Hz) resonance effects associated with relatively deep (>100 m) seismic impedance, which is contrasting corresponding to the buried Apulian carbonate platform and/or sandy horizons located within the Plio-Pleistocene deposits. In the remaining ones, relatively high frequency (>1 Hz) resonance phenomena are ubiquitous due to the presence of shallower impedance contrasts (<100 m), which do not always correspond to the top of the geological bedrock. These general indications may be useful for a preliminary regional characterization of seismic response in the study area, which can be helpful for an effective planning of more detailed studies targeted to engineering purposes.


2021 ◽  
Vol 21 (8) ◽  
pp. 2299-2311
Author(s):  
Andrea Antonucci ◽  
Andrea Rovida ◽  
Vera D'Amico ◽  
Dario Albarello

Abstract. The geographic distribution of earthquake effects quantified in terms of macroseismic intensities, the so-called macroseismic field, provides basic information for several applications including source characterization of pre-instrumental earthquakes and risk analysis. Macroseismic fields of past earthquakes as inferred from historical documentation may present spatial gaps, due to the incompleteness of the available information. We present a probabilistic approach aimed at integrating incomplete intensity distributions by considering the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties and the discrete and ordinal nature of intensity values. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for two well-known strong earthquakes (i.e., 1980 southern Italy and 2009 central Italy events). A possible application of the approach is also illustrated relative to a 16th-century earthquake in the northern Apennines.


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