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  • 2020-2024  (50)
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  • 1
    Publication Date: 2023-11-21
    Description: The Palinuro volcanic chain (PVC) is located about 80 km offshore the Campania region (Italy) in the southern sector of the Tyrrhenian Sea. The chain consists of 15 volcanic edifices aligned in an E-W direction with two distinct major seamounts (Palinuro and Glabro). They cover a 90 km long and 20 kmwide area, with a present-day volume of 2700 km3. Palinuro volcanism emplaced between 0.8 and 0.3 Ma, although shallow seismicity and hydrothermalism indicate an ongoing volcanic activity. A geomorphological analysis of the volcanic chain and data from a multichannel seismic profile reveal large volumes of buried chaotic material suggesting gravity mass sliding from the volcano flanks and slide scars. A stability analysis of the Palinuro flanks has been carried out to determine the sectors potentially prone to sliding in case of shallow volcanic earthquakes. Landslides are simulated by adopting a scenario-based approach. Tsunamis induced by these mass movements and their propagation across the Tyrrhenian Sea are modeled. Results suggest that shallow earthquakes (M ~4.6–4.8) are able to destabilize the flanks of the volcanic chain generating slope failures. Sliding volumes in the order of 1.5 km3 and 2.4 km3 may induce waves as high as 1.5 and 6 m, respectively, along the peri-Tyrrhenian coast. Our results underline the need for further investigations on the stability of the submarine volcanoes of the Tyrrhenian basin. These volcanoes are still poorly known although their instability could trigger large tsunamis along the southern Italy coastal sectors. Our recommendation is that multiparamertic monitoring networks on PVC and periodic oceanic cruises should be put into action, and further that a systematic evaluation of the tsunami hazard related to possible sliding phenomena on the flanks of the Tyrrhenian seamounts should be performed
    Description: Published
    Description: 107025
    Description: 6V. Pericolosità vulcanica e contributi alla stima del rischio
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2023-01-18
    Description: Earthquakes associated with fluid injection in various geo-energy settings, such as shale gas and deep geothermal energy, have shelved many projects with great potential. However, the injection-rate dependence of earthquake nucleation length, i.e., the slowly slipping (creeping) fault length in preparation for a subsequent earthquake (Kaneko & Lapusta, 2008), remains elusive. In this study, we take a step towards this issue by performing fluid injection experiments on low-permeability granite samples containing a critically stressed sawcut fault at different local injection rates (0.2 mL/min and 0.8 mL/min) and confining pressures (31 MPa and 61 MPa) (c. f., Ji & Wu, 2017; Wang et al., 2020). An array of local strain gauges and acoustic emission (AE) hypocenter locations were used to monitor the precursory slip of critically stressed faults before injection-induced stick-slip failure (c. f., Passelègue et al., 2020; Wang et al., 2020). The nucleation length was determined for each injection-induced stick-slip event, and its dependence on effective normal stress and injection rate was explored. Herein, we compile the processed data obtained from the experiments in four Excel worksheets. The full description of the methods is provided in Ji et al. (2022).
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 3
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-02
    Description: The shock acceleration is an important particle acceleration mechanism in the interplanetary space, but the electron shock acceleration process is not fully understood yet. Here we summarize the observational properties of in situ shock acceleration of solar wind suprathermal electrons at 1 AU, using the Wind measurements and MMS measurements. For both the Earth’ s bow shock and ICME-driven shocks, the observed power-law spectral index of shocked suprathermal electrons is significantly larger than the theoretical prediction of first-order Fermi acceleration, while the flux enhancement ratio between the downstream shocked and upstream unshocked suprathermal electrons peaks near 90° pitch angle. These observations favor the shock drift acceleration process. However, the shocked electron spectra exhibit different behaviors for ICME-driven shocks and terrestrial bow shock. At ICME-driven shocks, the significantly shocked suprathermal electrons generally have a double-power-law spectrum bending upwards at a break near 2keV with a low-energy spectral index of ∼3.7 and high-energy spectral index of ∼2.5, similar to the upstream unshocked suprathermal electrons. At the terrestrial bow shock, the strongly shocked suprathermal electrons show a double-power-law spectrum bending downwards at a break near ∼ 65 keV with a low-energy spectral index of ∼3.1 and high-energy index of ∼7.6, different from the upstream unshocked suprathermal electrons. Furthermore, the observed break energy is comparable to a critical electron energy with its cross-shock gyrodiameter equal to the bow shock’s ramp thickness. These results suggest that the shock drift acceleration process of suprathermal electrons could strongly depend on the electron trapping efficiency at shock.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 4
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-02
    Description: The present study classifies regional persistent extreme precipitation events (PEPEs) in North China into two types in accordance with variance contributions of different timescale rainfall variability in boreal summer. For Type 1, PEPEs are dominated by 10-20-day periodicity, and for Type 2 PEPEs are mainly influenced by a 30-60-day mode. Atmospheric circulation anomalies associated with the two types of PEPEs are characterized by a zonal wave train (the EU pattern) in the mid-high latitudes in Type 1 but a meridional wave train (the EAP pattern) in East Asia in Type 2. The common feature of the two types is anomalous southerly on the west edge of the West Pacific Subtropical High (WPSH), which favors anomalous moisture transport into the key region. Additional moisture source for Type 2 is linked to anomalous cross-equatorial flow. Both types of PEPEs result from the combined effect of intraseasonal oscillations in both the mid-high latitudes and the tropics. The impact of ENSO on the two types of PEPEs is investigated. While a La Niña and a neutral SST condition in the preceding winter favor for the occurrence of PEPEs, their subsequent transition in central and eastern equatorial Pacific will determine which of the two types of PEPEs is pronounced.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 5
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-02
    Description: An unresolved problem of present generation coupled climate models is realistic distribution of rainfall over Indian monsoon region. This outstanding deficiency is also related to the persistent dry bias over Indian land mass. Therefore, quantitative prediction of the intensity of rainfall (light/moderate/heavy) events has remained a challenge in any climate models. Guided by the observation, it is hypothesized that insufficient growth of cloud droplets and processes responsible for the cloud to rain water conversion are key components to distinguish between shallow to convective clouds. The Eulerian-Lagrangian particle-by-particle based small-scale model can only provide required information and provide a pathway to revisit the parameterizations in climate models for monsoon clouds. This can be done using in situ airborne measurement data of Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX) during monsoon over Indian sub-continent. The new diffusional growth rates (Cm) is varied in the range of ∼0.25x10-3 – 1.5x10-3 (cm/s), which is useful tuning parameter for convective and shallow clouds. The small-scale study also guides to choose better conversion rate from cloud to rain water based on relative dispersion. The robustness of the hypothesis and small-scale study is verified by doing two climate model simulations (i.e., control and modified). The modified model of coupled forecast system (CFSv2) demonstrates significant improvement in rainfall distribution, which is further linked with of the probability distribution of thermodynamical, cloud and dynamical variables. Therefore, continuous effort on basic research of microphysical processes using small-scale model is important for accurate representation of them in large-scale models.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 6
    Publication Date: 2023-08-21
    Description: On 2015 November 4, an Mw 6.5 earthquake struck the east region of Alor Island, eastern Indonesia. Here, we use Sentinel-1 and ALOS-2 data to explore the coseismic surface displacement of this earthquake. Based on the ALOS-2 coseismic interferograms, the first fault model and coseismic slip distribution of the 2015 Alor earthquake are presented in this study. The preferred slip model links to a blind south-southeast striking, south-southwest dipping strike-slip fault with amount of normal slip component and a peak slip of 2.09 m at 2.34 km of depth. Considering the fact that the ascending and descending InSAR prediction of the distributed slip model does not fit the InSAR observations at the northwest and southeast tips with the simple planar fault model. We tried to construct a strike-variable fault model to further improve data fit. The results of the calculated Coulomb stress change imply that the regions with positive CFS changes mainly located at the northwest and southeast extremities of the rupture of the Alor earthquake, and in the lobes north and south of the rupture. The most striking discovery from the InSAR observations of the Alor earthquake is that most of the displacements occurred on a fault whose existence was unknown before the earthquake.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 7
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-05-30
    Description: Global Navigation Satellite System (GNSS) technology has been widely used in geological disaster monitoring. However in cases where a higher risk of monitoring terminal damage is expected, geodetic GNSS receivers and antennas may be difficult to be widely used because of the price, weight and volume. As an alternative, the combination of low-cost miniaturized GNSS antenna and low-cost GNSS receiver has the advantages of low cost, light weight and small size. Low-cost receivers have been proved to achieve millimeter-level accuracy in short baselines, but there is still a certain gap between miniaturized antenna and geodetic antennas in terms of anti-jamming ability and noise factor due to the limitation of volume. Therefore, the aim of this research is to test the actual performance of low-cost miniaturized GNSS antennas and select a miniaturized antenna with the best performance. By comparing their differences in three aspects: data quality, positioning accuracy of Real-time kinematic (real-time differential positioning) and slow deformation monitoring capability, the monitoring capability of miniaturized antennas are analyzed. The results show that there is a certain gap between miniaturized antenna and geodetic antenna, but it can also meet the needs of landslide monitoring. After this, the optimal miniaturized antenna selected by the research has been applied to the Baige landslide in Xizang (western China) and achieved good monitoring effect.
    Language: English
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  • 8
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-02
    Description: Benefiting from the Real-Time Services (RTS) of the International GNSS Service (IGS), the Chinese Academy of Sciences (CAS), one of IGS Real-Time GNSS Analysis Centers, is routinely generating Space Representation (SSR) corrections of the key GNSS errors using the open data of the IGS. While the positioning accuracy at the level of centimeters can be achieved in Real-Time Precise Point Positioning (RT-PPP), the convenience time and reliability of RT-PPP solutions are highly affected by the Earth’s ionosphere. To mitigate the ionospheric delay errors, the spherical harmonic expansion is defined in RTCM-SSR and IGS-SSR standards to disseminate real-time global ionospheric VTEC messages. Aside from the RT-ionosphere corrections, the quality information (QI) associated to the RT-VTEC product is highly required in designing the stochastic model of the ionosphere-constrained RT-PPP algorithm. The computation and dismission of real-time ionospheric quality indicators are possible along with the generated RT-GIM. At CAS, it has been tried to fit the RT ionospheric residuals to describe VTEC error estimates using spherical harmonics and, broadcasting those spherical harmonic coefficients by adding one additional message type (message body similar to RT-VTEC). A phase residual-based evaluating indicator is developed to check the reliability of generated global ionospheric quality indicators. Also, the effects of RT-VTEC and QI corrections on RT-PPP applications are analyzed using globally distributed GNSS stations. The generated RT-GIM corrections and associated experimental QI information are transmitted following extended RTCM-SSR (SSRC00CAS0) and IGS-SSR (SSRC00CAS1) standards, which are freely accessible from the IGS data streaming server.
    Language: English
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  • 9
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-06
    Description: In recent years, Low Earth Orbit (LEO) satellites have received the widespread attention as a service performance growth point for the existing Global Navigation Satellite System (GNSS). To implement the navigation enhancement services, the precise orbit determination (POD) of LEO satellites is important. In this study, the reduced dynamic orbits from day of year (DOY) 134 to 164 in 2019 of four typical LEO science missions, including GRACE-FO, SWARM, SENTINEL-3, and JASON-3, are calculated by using consistent International GNSS Service (IGS) precise orbit and clock products. The POD strategy based on an undifferenced ionosphere-free combination and the least squares method were applied. The derived LEO satellite orbits are validated by comparing with the official products and analyzing the residuals of onboard phase observations. The results show that the differences between the derived LEO satellite orbits and the official products are achieved 1-2cm in 1D-mean RMS, among them, the orbit accuracy of the GRACE-C/D is most prominent, which can reach up to 1cm. Meanwhile, the average RMS values of phase residuals are in the range of 6-8mm for GRACE-C/D, SWARM-A/B/C, SENTINEL-3A/B and 10mm for JASON-3. The difference in the orbit quality of each satellite is mainly caused by the quality of the onboard receiver observations and the degree of model compliance.
    Language: English
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  • 10
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-06
    Description: Real-time kinematic (RTK) positioning technology is widely used in landslide monitoring because of its unique advantages of real-time and high precision. However, in the complex landslide environment with severe occlusion, multipath error has become one of the main error sources affecting GNSS high-precision positioning. The sidereal filtering method is suitable for monitoring scenarios containing multipath errors and white noise. For special scenarios with large deformation in the imminent slipping stage and monitoring data interruption, the multipath error model constructed by the traditional method is not accurate enough to retain its deformation trend. In this paper, an improved sidereal filtering based on sliding segmentation correlation is used to identify the new stage of landslide considering the mutation point, establish the available dataset, and subsequently match the multi-day correlation data using sliding segmentation and perform mean processing to construct a multipath model. It is applied to two typical stages of the Heifangtai landslide, stable and imminent, and compares the effectiveness of traditional sidereal filtering, conventional segmentation method and the method in this paper by qualitative and quantitative methods. The experimental results show that the method proposed in this paper performs best in coordinate deviation, fitting deviation and smoothness, avoids the problem of inter-segment jump, effectively mitigates the multipath error, and retains the deformation characteristics of the landslide. It provides more reliable data for landslide early warning systems, timely releases early warning information, and avoids the possible casualties and property losses caused by this loess landslide.
    Language: English
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