Matteo Bagagli


Last Name

Bagagli

First Name

Matteo

ORCID

0000-0001-9409-8667

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2020 - 20254
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Publications 1 - 4 of 4
  • Local earthquake tomography of the Larderello-Travale geothermal field
    Item type: Journal Article
    Bagagli, Matteo; Kissling, Eduard; Piccinini, Davide; et al. (2020)
    Geothermics
    The Larderello-Travale Geothermal Field in South-West Tuscany (Italy) is the oldest and among the most productive geothermal fields in the world. A new 3D model of seismic P-wave velocity (VP) of the upper crust beneath the geothermal field is derived by inverting a set of highly consistent travel-times from local-earthquakes. Results document a marked correlation of VP with previously described, high-reflectivity horizons. We also determined a low velocity body (VP ∼5 km s−1) culminating at depths of about 7 km, with estimated volume of 35–40 km3. Such low velocities are consistent with a granite at temperatures above 700 °C, thus in a partially-molten status.
  • The AlpArray Research Seismicity-Catalogue
    Item type: Journal Article
    Bagagli, Matteo; Molinari, Irene; Diehl, Tobias; et al. (2022)
    Geophysical Journal International
    We take advantage of the new large AlpArray Seismic Network (AASN) as part of the AlpArray research initiative (), to establish a consistent seismicity-catalogue for the greater Alpine region (GAR) for the time period 2016 January 1-2019 December 31. We use data from 1103 stations including the AASN backbone composed of 352 permanent and 276 (including 30 OBS) temporary broad-band stations (network code Z3). Although characterized by a moderate seismic hazard, the European Alps and surrounding regions have a higher seismic risk due to the higher concentration of values and people. For these reasons, the GAR seismicity is monitored and routinely reported in catalogues by a 11 national and 2 regional seismic observatories. The heterogeneity of these data set limits the possibility of extracting consistent information by simply merging to investigate the GAR's seismicity as a whole. The uniformly spaced and dense AASN provides, for the first time, a unique opportunity to calculate high-precision hypocentre locations and consistent magnitude estimation with uniformity and equal uncertainty across the GAR. We present a new, multistep, semi-automatic method to process ~50 TB of seismic signals, combining three different software. We used the SeisComP3 for the initial earthquake detection, a newly developed Python library ADAPT for high-quality re-picking, and the well-established VELEST algorithm both for filtering and final location purposes. Moreover, we computed new local magnitudes based on the final high-precision hypocentre locations and re-evaluation of the amplitude observations. The final catalogue contains 3293 seismic events and is complete down to local magnitude 2.4 and regionally consistent with the magnitude 3+ of national catalogues for the same time period. Despite covering only 4 yr of seismicity, our catalogue evidences the main fault systems and orogens' front in the region, that are documented as seismically active by the EPOS-EMSC manually revised regional bulletin for the same time period. Additionally, we jointly inverted for a new regional minimum 1-D P-wave velocity model for the GAR and station delays for both permanent station networks and temporary arrays. These results provide the base for a future re-evaluation of the past decades of seismicity, and for the future seismicity, eventually improving seismic-hazard studies in the region. Moreover, we provide a unique, consistent seismic data set fundamental to further investigate this complex and seismically active area. The catalogue, the minimum 1-D P-wave velocity model, and station delays associated are openly shared and distributed with a permanent DOI listed in the data availability section.
  • Local earthquake tomography of the Alpine region from 24 years of data
    Item type: Journal Article
    Bagagli, Matteo; Molinari, Irene; Diehl, Tobias; et al. (2025)
    Geophysical Journal International
    We present a new 3-D crustal P-wave velocity (V-P) model for the greater Alpine region (GAR). We use and merge three different high-quality datasets for local earthquake tomography covering 24 yrs, starting from 1st January 1996, up to 31st December 2019. We processed and repicked the waveforms from the events reported by the European-Mediterranean Seismological Centre with M > 3.0 inside the greater Alpine region for the period between May 2007 and December 2015 using a recently developed automated arrival time-picking procedure (ADAPT framework). This allows bridging the data gap between previously published (pre-2007) datasets and the recently published AlpArray research seismicity catalogue and thus provides a high-quality, highly consistent set of P-wave arrival times covering 24 yrs. With this dataset we derived a new minimum 1-D V-P model and associated station delays covering the entire GAR. Subsequently, we performed a series of local-earthquake-tomography (LET) inversions obtaining a 3-D V-P model with a horizontal node spacing of 20x20 km and between 7 and 15 km variable vertical spacing in the well-resolved area of investigation, thus improving the spatial and uniformly high-resolution coverage compared to previous LET studies in the area. For well-known major crustal structures, such as, for example, the geophysical Ivrea body, deep foreland basins and main orogenic crustal roots, our tomographic results correlate well with features documented by various previous seismic studies in the region. This correlation increases our confidence in the model's accuracy throughout the well-resolved area. Additionally, our model reveals previously poorly known, or unknown crustal features and it documents details in the Moho topography throughout the region. Eventually, we present a LET-Moho map (V-P isoline of 7.25 km s(-1)) for the GAR with spatially nearly uniform resolution and document its comparison with previously published Moho maps. The new regional 3-D V-P crustal model also correlates well with a previously published V-S crustal model obtained by ambient noise tomography. These comparisons document the new LET results of combined 3-D V-P crustal velocities and Moho topography being intrinsically consistent and reliable within the region of high resolution. Hence, in addition to further improving our understanding of crustal structure geometries in the GAR, our results also provide pivotal information for a future reference seismic 3-D crustal model of the region.
Publications 1 - 4 of 4