Earthquakes in a fault system embedded in an elastic body subject to increasing shear stress

We consider the faults of an elastic body subject to an increasing stress and the stress field generated by slip on a fault. The slip along the fault releases the stress component parallel to the slip, but the component normal to the fault is not released and increases in time at the same rate as the shear affecting the body. The effect is an increase of the value of the force necessary to cause the subsequent slip; and, if the shear increases linearly, it causes an increase of the time intervals between the earthquakes on the fault, that is between the stress drop p and the slip s. The density distribution of p in a given time interval is computed; it is found that rigorously it is not a power law although it is a decreasing function of p. It is also seen that, as in the cases in which it was assumed that the component of the stress field locking the fault, after each earthquake, in the time interval to the next earthquake, would be anelastically released, the logarithm of the density distribution of the moments of the earthquakes is a linear function of log (M0 ) and a linear function of M in any time interval; M0 and M being the scalar seismic moment and the magnitude, respectively. Conditions for the existence of these linear relationships are discussed finding that a sufficient condition, when the range of p is not exceptionally large, is that the density distribution of p be of the type log (p), which includes the case when it is independent of the fault linear size l. The Gutenberg-Richter frequency-magnitude relationship and the conditions to obtain aftershocks and seismic swarms generated by this model are presented and discussed. In order to obtain the observed density distribution of earthquakes one or several hypotheses can be done: 1) the stress locking the faults, between successive earthquakes of the same fault, is released anelastically; 2) the density distribution of the sizes of the faults is such as to cause the logarithm of the density distribution of log (M0) and of M to be linear; 3) the density distribution of log M0 (M) is linear and the linearity factor is related to the density distribution of the stress drop and not to that of the linear dimensions of the faults

Crustal blocks and seismicity in the Central Apennines of Italy

Kinematics and geodynamics of crustal-block structures separated by compliant zones with viscoelastic rheology play an important role in defining the conditions for many deformation events such as ordinary seismic ruptures, silent and slow earthquakes and aseismic fault creep phenomena. New seismological data from the Latium-Abruzzi carbonatic platform of central Italy fit a block-tectonic modelling previously proposed for this area on the basis of structural and paleomagnetic evidences

GNSS data filtering optimization for ionospheric observation

In the last years, the use of GNSS (Global Navigation Satellite Systems) data has been gradually increasing, for both scientific studies and technological applications. High-rate GNSS data, able to generate and output 50-Hz phase and amplitude samples, are commonly used to study electron density irregularities within the ionosphere. Ionospheric irregularities may cause scintillations, which are rapid and random fluctuations of the phase and the amplitude of the received GNSS signals. For scintillation analysis, usually, GNSS signals observed at an elevation angle lower than an arbitrary threshold (usually 15 , 20 or 30 ) are filtered out, to remove the possible error sources due to the local environment where the receiver is deployed. Indeed, the signal scattered by the environment surrounding the receiver could mimic ionospheric scintillation, because buildings, trees, etc. might create diffusion, diffraction and reflection. Although widely adopted, the elevation angle threshold has some downsides, as it may under or overestimate the actual impact of multipath due to local environment. Certainly, an incorrect selection of the field of view spanned by the GNSS antenna may lead to the misidentification of scintillation events at low elevation angles. With the aim to tackle the non-ionospheric effects induced by multipath at ground, in this paper we introduce a filtering technique, termed SOLIDIFY (Standalone OutLiers IDentIfication Filtering analYsis technique), aiming at excluding the multipath sources of non-ionospheric origin to improve the quality of the information obtained by the GNSS signal in a given site. SOLIDIFY is a statistical filtering technique based on the signal quality parameters measured by scintillation receivers. The technique is applied and optimized on the data acquired by a scintillation receiver located at the Istituto Nazionale di Geofisica e Vulcanologia, in Rome. The results of the exercise show that, in the considered case of a noisy site under quiet ionospheric conditions, the SOLIDIFY optimization maximizes the quality, instead of the quantity, of the data.Published2552–25622A. Fisica dell'alta atmosferaJCR Journa

Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis

This study reports application of monitoring and characterization protocol for particulate matter (PM) deposited on tree leaves, using Quercus ilex as a case study species. The study area is located in the industrial city of Terni in central Italy, with high PM concentrations. Four trees were selected as representative of distinct pollution environments based on their proximity to a steel factory and a street. Wash off from leaves onto cellulose filters were characterized using scanning electron microscopy and energy dispersive X-ray spectroscopy, inferring the associations between particle sizes, chemical composition, and sampling location. Modeling of particle size distributions showed a tri-modal fingerprint, with the three modes centered at 0.6 (factory related), 1.2 (urban background), and 2.6 ?m (traffic related). Chemical detection identified 23 elements abundant in the PM samples. Principal component analysis recognized iron and copper as source-specific PM markers, attributed mainly to industrial and heavy traffic pollution respectively. Upscaling these results on leaf area basis provided a useful indicator for strategic evaluation of harmful PM pollutants using tree leaves