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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ADGEO</journal-id><journal-title-group>
    <journal-title>Advances in Geosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7359</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/adgeo-52-153-2021</article-id><title-group><article-title>Preface to “Understanding volcanic processes through geophysical and volcanological data investigations: some case studies from Italian sites (EGU2019 GMPV5.11 session, COV10 S01.11 session)”</article-title><alt-title>Preface to Understanding volcanic processes</alt-title>
      </title-group><?xmltex \runningtitle{Preface to Understanding volcanic processes}?><?xmltex \runningauthor{P. Cusano et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Cusano</surname><given-names>Paola</given-names></name>
          <email>paola.cusano@ingv.it</email>
        <ext-link>https://orcid.org/0000-0002-6266-6225</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>De Lauro</surname><given-names>Enza</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Esposito</surname><given-names>Antonietta</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Falanga</surname><given-names>Mariarosaria</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9735-446X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Galluzzo</surname><given-names>Danilo</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Petrosino</surname><given-names>Simona</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Napoli –
Osservatorio Vesuviano, Via Diocleziano 328,<?xmltex \hack{\break}?> 80124 Naples, Italy</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Ministery of Education, Universities and Research, Rome, Italy</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Università degli Studi di Salerno, Dipartimento di Ingegneria
dell'Informazione ed Elettrica e Matematica applicata/DIEM, Fisciano,
Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Paola Cusano (paola.cusano@ingv.it)</corresp></author-notes><pub-date><day>1</day><month>June</month><year>2021</year></pub-date>
      
      <volume>52</volume>
      <fpage>153</fpage><lpage>158</lpage>
      
      <permissions>
        <copyright-statement>Copyright: © 2021 Paola Cusano et al.</copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://adgeo.copernicus.org/articles/52/153/2021/adgeo-52-153-2021.html">This article is available from https://adgeo.copernicus.org/articles/52/153/2021/adgeo-52-153-2021.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/52/153/2021/adgeo-52-153-2021.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/52/153/2021/adgeo-52-153-2021.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e128">Volcanic dynamics is driven by the complex interplay
between fluid flow (circulation of magmatic and/or hydrothermal fluids) and
rock structure (volcano conduits, dykes), the comprehension of which
requires both multi-parametric monitoring and modelling of relevant physical
and chemical processes of the system. Understanding the factors controlling
the dynamics of the processes involved in these interactions is necessary to
characterize the overall behaviour of a volcano and the eventual transition
mechanisms among stationarity, unrest phases and eruptive styles. The
starting point in this context is to have high-quality data of several
parameters (seismological, geochemical, geodetic, volcanological), acquired
both over years of monitoring activity and focused field experiments.
Fundamental contributions come from the use of combined multi-parametric
datasets and the adoption of innovative analysis techniques and
multi-disciplinary approaches.</p>
    <p id="d1e131">This Special Issue is addressed to those researchers, who focus their
investigations in the field of volcano dynamics. Its main purpose is to shed
light on the processes occurring in active volcanic systems over different
time scales, with relevant implications for the hazards and the modern
monitoring, thus promoting future discussions on this topic. The Issue
contains this introducing preface, which describes the Volume aims, and 14
papers, reflecting the main themes. The papers are devoted to the study of
some Italian sites, but the proposed approaches are general and therefore
applicable to any other volcanic/hydrothermal areas.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e143">This Special Issue is the result of a route started in 2018 with the 10th
Cities on Volcanoes international conference, held in Naples (Italy) on
2–7 September, where most of the authors of this Preface were conveners for
the session S1.11 “<italic>Understanding volcanic processes through geophysical and volcanological data investigations</italic>”
(<uri>http://editoria.rm.ingv.it/miscellanea/2018/miscellanea43/</uri>, last access: 3 November 2018). The route
continued in the following year, 2019, at European Geosciences Union General
Assembly, held in Vienna (Austria) on 13–18 April , where some of the authors
of this Preface were convenors of the session GMPV5.11 “<italic>Fluid-solid interactions in volcanic processes over different time-scales: an investigation through geophysical and volcanological data</italic>”
(<uri>https://meetingorganizer.copernicus.org/EGU2019/posters/32735</uri>, last access: 22 April 2019). In both
events, we invited the conference participants to submit any articles
relating to the topics of the Special Volume. Its main scope is the
understanding of the factors which control the dynamics of interactions
between fluid flow (circulation of magmatic or hydrothermal fluids) and rock
structure (volcano conduits, dykes), necessary to characterize the overall
behaviour of a volcano, as well as the transitions among stationary, unrest
and eruptive phases. A particular attention is devoted to the comprehension
of the phenomena that require multi-parametric monitoring and modelling of
relevant physical and chemical processes of the system.</p>
      <?pagebreak page154?><p id="d1e158">Both the convened sessions were characterized by interesting discussions on
different aspects concerning the processes occurring within the volcanic
systems; how they manifest over different time scales (from seconds to
hours, from days to weeks, etc.); how they can be intercepted, throughout
the use of instrumentation spanning all the possible frequency bands
associated to the known transients or continuous signals (short-period to
broadband seismic velocimeters, gravimeters, tiltimeters, strainmeters,
etc.); what are the relevant implications for the hazard; how the interplay
between the modern monitoring systems and the research should work.</p>
      <p id="d1e161">Starting from those experiences, we focalized the Volume on the following
main topics:
<list list-type="order"><list-item>
      <p id="d1e166">Characterization of the processes occurring in active volcanic systems
over different time scales;</p></list-item><list-item>
      <p id="d1e170">Use of techniques based on advanced computational methodologies to
achieve new insights in the volcano knowledge;</p></list-item><list-item>
      <p id="d1e174">Interplay between the monitoring and field experiments, and the connected
research based on high-quality data.</p></list-item></list></p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Contributions to the Special Volume</title>
      <p id="d1e185">Beyond this Preface, this Issue contains 14 research papers, reflecting the
above evidenced themes. Most of the contributions regards Italians
volcanoes, from Mt. Vesuvius, in quiescent state, to Campi Flegrei caldera,
that is in unrest, up to Stromboli, that is currently in eruption. However,
the described approaches and techniques are general and can be applied to
any other volcanic systems.</p>
      <p id="d1e188">Falanga et al. (2019) proposed a review on the integrated patterns of
seismic and deformation observables, with the aim of recovering common
relations. The study areas were two volcanic systems that behave in
different ways: almost continuous open conduit activity for Stromboli
(Italy), and hydrothermal activity and ground deformation for Campi Flegrei
(Italy), currently interested by an unrest phase. Standard and innovative
seismological techniques were applied in frequency and time domain (spectral
analysis and Independent Component Analysis-ICA, Hyvärinen et al.,
2001), and tiltmeter, dilatometer and seismological time series were
matched. Earth tides synchronize the activity of the two systems over
different time scales. In the case of Stromboli, their variations, in a
defined frequency band, marked a departure from the equilibrium state on
scale of days, while at Campi Flegrei they modulated the variation of
seismicity and ground deformation on annual scale. The authors stressed the
necessity to better understand the tidal effects on the tiltmeter/seismic
recordings, as well as to investigate the interactions among different
phenomena (ground deformation, seismic activity, rainfall, earth tides,
etc.).</p>
      <p id="d1e191">In the study of Petrosino et al. (2020), the crustal response to
external excitations of medium/long-period tidal constituents in terms of
ground tilting at Campi Flegrei caldera (Italy) was evaluated by applying a
polarization analysis (Montalbetti and Kanasewich, 1970) on borehole
tiltmeter time series, from 2015 to 2019. Well defined azimuth directions
associated to tidal periodicities (diurnal S1, lunar monthly Mm and lunar
fortnightly Mf) resulted to be controlled by the local stress field
distribution and the rheology. At some sites the polarization was also
affected by the seasonal variations related to rainfall. The results found
in this paper have two-fold implications. First, the identification of a
ground deformation process permitted to define a background, such as tidal
and rainfall effects, on which the endogenous volcanic effects superimpose.
Second, the behavior of the exogenous sources provided information on the
geometry of structural features and on rock proprieties of the surroundings.</p>
      <p id="d1e194">The paper of Cusano et al. (2020) illustrated the properties of the
hydrothermal/volcanic system of Ischia Island on long (background seismic
noise) and short (earthquakes) time scales. The seismo-volcanic source
dynamics of the shallow hydrothermal system, in the northern sector of the
Island, was explored throughout the analysis of the seismicity recorded pre
and post the <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msub><mml:mi>M</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 4.0 earthquake of 21 August 2017, both in time and
frequency domain (Independent Component Analysis, Hyvärinen et al.,
2001; energy pattern; polarization properties, Montalbetti and Kanasewich,
1970). The results suggested that noise and earthquakes were ascribable to a
common phenomenon of fluid-rocks interaction. The authors supposed that the
basic structure of the hydrothermal system oscillates with normal mode at
1–2 Hz, and an increase of the fluid pressure above a certain threshold may
have triggered the <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:msub><mml:mi>M</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 4.0 earthquake. Then, pressurization/depressurization
cycles created ruptures and reactivation of the faults that generate the
subsequent seismicity. The increase in the hydrothermal flux would also have
enhanced the activation of the second higher mode at 3–4 Hz, otherwise
masked by anthropogenic noise.</p>
      <p id="d1e220">Petrosino and Cusano (2020) described a detailed analysis performed on
the atypical, low frequency seismicity occurred at Mt. Vesuvius in the time
interval 2003–2018. Spectral, polarization (Montalbetti and Kanasewich,
1970), 3D-location (Lomax et al., 2000), cross-correlation and cluster
analysis (Greenfield et al., 2019) indicated that such events were
ascribable to the dynamics of the deep hydrothermal reservoir (2.5–5 km b.s.l.) which induced variations of the fluid pore pressure in the medium,
as well as in the physical-chemical properties of the surrounding rocks. The
authors classified the atypical earthquakes as Low Frequency (LF) and Long
Period (LP), depending if the source mechanism could be ascribed to slow
brittle failure in dry rocks or resonance of fluid filled cracks,
respectively. The two categories morph into each other according to the
physical state and the mechanical properties of the rocks, as well as the
location and<?pagebreak page155?> depth of the source volume. Likely the activation of different
source mechanisms could be modulated by the temporal evolution of the
dynamical state of the volcano.</p>
      <p id="d1e223">The work of Berrino and Ricciardi (2020) presented the results of
several absolute gravity measurements carried out at the Campi Flegrei
active caldera (Italy) over a dense absolute gravity network. The latter was
established in 2015, permitting an advanced approach for volcano monitoring.
Between June 2015 and October 2019 five field surveys were carried out, in
the course of a slow ground uplift phase. The results of the measurements
showed an inverse linear correlation between gravity and height changes,
indicating a prevailing mass/density change process at shallow depths.
Moreover, a time swing of gravity decrease/increase suggested an alternation
of emptying/replenishment processes. The absolute gravity data and the
associated gravity variations showed a very good agreement with the outcomes
of the pre-existing relative gravity network. The integration of absolute
and relative measurements confirmed the existence of processes of fluids'
recharge/discharge alternation in the Campi Flegrei shallow hydrothermal
system. Therefore, the results excluded, at least over a short time scale,
the direct effects of deeper magmatic mass movements. The recorded data and
their quality demonstrated the reliability of the absolute gravimetric
measurements even if acquired with field instruments, inside a densely
urbanized area. They also demonstrated the efficiency of the methodology for
volcano monitoring, encouraging the use of absolute gravity networks in
dynamically active areas.</p>
      <p id="d1e226">The article of Caputo et al. (2020) regards the first spectral analyses
performed on thermal time series recorded by thermal infrared cameras
(TIRNet) installed in the area of Solfatara volcano and Pisciarelli area
(Campi Flegrei, Italy) for surveillance purposes. The dataset consisted of
daily maximum temperatures from 25 April 2014 to 31 May 2019, acquired by
three TIRs, and atmospheric pressure and air temperature time-series. Data
pre-processing was carried out in order to remove the seasonal components,
by using the STL algorithm (Seasonal Decomposition of Time Series by Loess,
Cleveland et al.,1990). Then, a harmonic analysis (Pawlowicz et al., 2002)
was performed in order to identify and remove the long-period tidal
constituents (mainly fortnightly and monthly). Finally, Power Spectral
Density was calculated to check if characteristic periodicities exist for
each site. The reliability and significance of the spectral peaks were
proved by statistical and empirical methods (Godin, 1972). The authors found
that most of the residual periodicities are related to ambient factors,
while two specific cyclicality have a possible local endogenous origin.</p>
      <p id="d1e229">The purpose of Nardone et al. (2020) was to study the subsoil structure
of the Campi Flegrei area by using both spectral ratios and array techniques
applied to seismic noise. The authors applied the Frequency-Wavenumber
(Lacoss et al., 1969) and Modified Spatial Autocorrelation (MSPAC, Bettig et
al., 2001) techniques to the seismic noise recorded by an underground short
period seismic array in order to obtain the dispersion curves. Moreover,
single phase velocity values of coherent transient signals were retrieved.
The inversion of all these curves, jointly with the <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mi>H</mml:mi><mml:mo>/</mml:mo><mml:mi>V</mml:mi></mml:mrow></mml:math></inline-formula> spectral ratio from
a broadband station, permitted to obtain a shear wave velocity model up to
2000 m depth. The model had a higher detail for the central part of the
caldera and was in a good agreement with the stratigraphic information
coming from the shallow boreholes and deep wells drilled for geothermal
exploration. In active high risk volcanic areas, such as Campi Flegrei, the
definition of an accurate velocity model can have significant implications
for better understanding the internal dynamics of the volcano, thus
improving the interpretation of monitoring observations.</p>
      <p id="d1e244">In Madonia (2020), the measuring systems and the criteria for designing
a performing network for thermal monitoring of low temperature fumaroles
from Italian active volcanoes (Vulcano, Stromboli, Mt. Etna, Mt. Vesuvius)
were presented, illustrating useful insights on the evolution of the
activity state of these volcanoes. Time variations of the thermal signal, in
terms of both short-lasting transients and medium/long term trends,
reflected changes in the activity state of the volcanic system, and/or of
seismic activity. Theoretical models of heat transfer processes were
discussed, highlighting how difficult was to distinguish between conductive
and convective mechanisms or calculate heat fluxes. The retrieved
temperature anomalies recorded in the fumarole fields, even if qualitative,
revealed as proxies of change in the activity state of the monitored
volcanoes. The discussed case histories from the Italian volcanoes
highlighted that the continuous monitoring and mapping of the low
temperature fumaroles gave useful insights on different phenomena, as upward
movements of magma inside the feeding systems, fracturing and dyke
intrusions, degassing anomalies driven by seismicity both of volcanic and
tectonic origins. The abovementioned considerations, jointly with a low-cost
monitoring systems, make this observable a useful and convenient tool in
volcanic surveillance.</p>
      <p id="d1e247">In Galluzzo et al. (2020), spectral analysis has been applied to almost
thousand seismic events recorded at Mt. Vesuvius (Italy) in 2018 with the
aim to test a new tool for a fast classification of seismic events. The
central frequency and shape factor obtained from the spectral moments of
order 0, 1, and 2, for each event at seven seismic stations were estimated.
The analyzed events consisted of volcano-tectonic and low-frequency
earthquakes and unclassified events (landslides, rockfalls, thunders, quarry
blasts, etc.), most of which were of low energy. The results of the analysis
showed that volcano-tectonic earthquakes and low-frequency events were
easily distinguishable through the spectral moments values, particularly at
seismic stations closer to the epicenter. On the other hand, unclassified
events showed spectral parameters values distributed in a broad range which
overlap both the volcano-tectonic and the low-frequency events. Since the
computation of spectral<?pagebreak page156?> parameters is extremely easy and fast for a detected
seismic event, it may become a raw analysis tool of fast application on real
or near-real time signals, in order to be effective for the classification
of seismic events in observatory practice.</p>
      <p id="d1e251">Mancini et al. (2020) analysed and discussed the results of the
regional program Rad Campania for the monitoring and the assessment of the
radon risk. They developed an innovative methodology, based on a geogenic
approach and supported by a comprehensive survey of radon measurement
performed in soil gas, natural waters, drinking natural water samples and
indoor air. The field measurements were carried out in Campania Region
(Italy) with the purpose to investigate the peculiarities of the radon issue
at a provincial scale and to redact a map of the radon potential from soil
as a tool for authorities to recognize critical areas (“Radon prone
areas”) to monitor. The authors tried to identify a possible general
correlation between geological features of the soil and structural
characteristics of the buildings. The results evidenced that to map the
radon potential from soil cannot be the only tool to manage the radon issue,
but the maintenance of the interface soil-building plays a crucial rule. The
categorization of buildings (according to the foundation type, materials,
number of floors) showed how it was possible to identify a peculiar
behaviour for each construction-type and so tried to build up a performance
indicator for different kinds of construction, in terms of response to the
potential radon from soil.</p>
      <p id="d1e254">Tammaro et al. (2021a) provided a suitable resolution model of the sea
tides including low frequency (seiches), tidal bands and non-linear tides by
investigating the oscillations of relative sea level. They analysed about
10-year-long tide gauge recordings in the Gulfs of Pozzuoli and Naples
(Italy). They proposed a method to filter out the volcano-tectonic signal
(bradyseism) from the tide gauge records by deconvolving it from two
records, one collected in the active volcanic area (Pozzuoli) and the other
one collected at a tectonically stable station (Naples). They also retrieved
the relative mean sea level change in the Gulf of Naples and compared it
with the trend found in five tide gauges spread along the Italian coast.</p>
      <p id="d1e257">In the framework of the DINEV project (AMRA, Regione Campania PON,
Scarpa et al., 2007) started in the Campi Flegrei – Vesuvius volcanic areas
(Italy) in 2004, Di Lieto et al. (2021) carried out subsurface deformation
monitoring by using six Sacks-Evertson dilatometers. In 2008, they also
employed two arrays of 28–280 m long water-tube tiltmeters in underground
tunnels. A relevant strainmeter and tiltmeter data-set has been collected
during the recent Campi Flegrei unrest episode. The high sensitivity
strainmeters and tiltmeters provided coherent views of deformation at
different time scales, detecting transient events on several time scale,
with periods from minutes to months, and monotonic uplift episodes with
durations of several weeks to a few years. Their location was compatible
with a source inferred from long term deformation signals, located beneath
Pozzuoli. The authors proposed a mechanism for the aseismic strain episodes
associated with magma growth in reservoirs with occasional pressure relief
associated with the leakage of gas. The authors claimed the importance of
expanded arrays of tiltmeters and strainmeters operating continuously, which
permit to monitor details of magma-transfer and the underlying cause of
subsequent seismic activity.</p>
      <p id="d1e260">The work of Bellucci Sessa et al. (2021) showed the ability of GIS
(Geographical Information System) to manage a great quantity of data. Two
GIS technology applications, based on the seismic catalogue of Campi Flegrei
(Italy) from 2005 to 2019 were shown, in addition to the creation of a new
<italic>GeoDatabase</italic>. First, the authors showed how to extract a high quality dataset on the
basis of location precision parameters, assessing the reliability of the
data through geostatistical analyses. In the second application, they
individuated the Campi Flegrei swarms and highlight their temporal trend
over the last 15 years. In the latter case, the swarm density and energy
release maps were produced. The integration of the morphostructural
information in the maps allowed to discuss which structures were involved in
the seismic activity. The statistical analysis performed on the swarms
permitted to detect the increase of background seismicity against a decrease
of the swarms in the last years. Beyond the capability of GIS in integrating
and fast analyse a great quantity of multidisciplinary data, this paper
demonstrated how this system can fundamentally contribute to any study on
the origin and nature of seismicity and claimed that GIS represents an
indispensable supporting tool to decision in volcanic unrest.</p>
      <p id="d1e266">Tammaro et al. (2021b) simulated the ground deformation of
Somma-Vesuvius volcano generated by overpressure sources by means of a
finite element (FEM) 3D code, with the main scope of evaluate the influence
of topography and structural heterogeneity on deformation. The ingredients
used for the simulations were: a Mogi-type sources embedded in an elastic
linear isotropic medium, with a varying depth; shape and lateral extension
of sources constrained by the outcomes of recent seismic topography studies;
structural heterogeneity modelled in terms of dynamic elastic parameters
calculated in previous works; a high resolution DTM for the subaerial
edifice topography. The simulations' results indicated that real topography
and structural heterogeneities were fundamental factors which rule the
ground deformation, which is one of the most relevant problems in volcano
monitoring. The main result was the evidence of a significant deviation from
the axially symmetrical model proposed for the displacement. Finally, the
authors stated that a better knowledge of deformation patterns can
significantly help in the location of monitoring sensors as well as in the
design of an efficient geodetic network.</p>
</sec>
<?pagebreak page157?><sec id="Ch1.S3" sec-type="conclusions">
  <label>3</label><title>Conclusions</title>
      <p id="d1e277">In this Preface we gave a brief description of the Special Volume contents,
stressing the complexity of the main topic. The Volume does not have the
claim to be complete, but surely it is representative of a variety of
disciplines, such as seismology, gravimetry, geodesy, thermography, etc.
Great attention was devoted to the high quality experimental data and to
innovative monitoring techniques. Moreover, the Volume covered several
distinct approaches, such as numerical simulations, unconventional and
advanced data analyses, modelling of source and propagation media. Each
paper gave new insights in the understanding of the current dynamics of the
study area, providing useful contributions to the definition of the system
state. These contributions could become crucial for the hazard evaluation
and management, especially when dealing with systems whose evolution
throughout eruptions or unrest is slow or manifests only by weak precursors.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p id="d1e284">We wish to thank all the authors that have contributed with their articles
to the realization of the Special Issue. A special thank goes to the
referees that have contributed to improve the quality of the papers with
their constructive suggestions. We are grateful the Copernicus Publications
staff for its professional support. In particular, we have appreciated the
courtesy and availability of Anna Wenzel and Svenja Lange. Finally, we wish
to thank Francesca Bianco, Director of INGV-Osservatorio Vesuviano, and
the University of Salerno (UNISA) to have supported the realization of the
Special Issue.</p></ack><ref-list>
    <title>References</title>

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  </ref-list></back>
    <!--<article-title-html>Preface to “Understanding volcanic processes through geophysical and volcanological data investigations: some case studies from Italian sites (EGU2019 GMPV5.11 session, COV10 S01.11 session)”</article-title-html>
<abstract-html><p>Volcanic dynamics is driven by the complex interplay
between fluid flow (circulation of magmatic and/or hydrothermal fluids) and
rock structure (volcano conduits, dykes), the comprehension of which
requires both multi-parametric monitoring and modelling of relevant physical
and chemical processes of the system. Understanding the factors controlling
the dynamics of the processes involved in these interactions is necessary to
characterize the overall behaviour of a volcano and the eventual transition
mechanisms among stationarity, unrest phases and eruptive styles. The
starting point in this context is to have high-quality data of several
parameters (seismological, geochemical, geodetic, volcanological), acquired
both over years of monitoring activity and focused field experiments.
Fundamental contributions come from the use of combined multi-parametric
datasets and the adoption of innovative analysis techniques and
multi-disciplinary approaches.</p><p>This Special Issue is addressed to those researchers, who focus their
investigations in the field of volcano dynamics. Its main purpose is to shed
light on the processes occurring in active volcanic systems over different
time scales, with relevant implications for the hazards and the modern
monitoring, thus promoting future discussions on this topic. The Issue
contains this introducing preface, which describes the Volume aims, and 14
papers, reflecting the main themes. The papers are devoted to the study of
some Italian sites, but the proposed approaches are general and therefore
applicable to any other volcanic/hydrothermal areas.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>Bellucci Sessa, E., Castellano, M., and Ricciolino, P.: GIS applications in volcano monitoring: the study of seismic swarms at the Campi Flegrei volcanic complex, Italy, Adv. Geosci., 52, 131–144, <a href="https://doi.org/10.5194/adgeo-52-131-2021" target="_blank">https://doi.org/10.5194/adgeo-52-131-2021</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Berrino, G. and Ricciardi, G.: Repeated absolute gravity measurements on a dense network at Campi Flegrei – a reliable tool for volcano monitoring, Adv. Geosci., 52, 41–54, <a href="https://doi.org/10.5194/adgeo-52-41-2020" target="_blank">https://doi.org/10.5194/adgeo-52-41-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>Bettig, B., Bard, P. Y., Scherbaum, F., Riepl, J., Cotton, F., Cornou, C.,
and Hatzfeld, D.: Analysis of dense array noise measurements using the
modified spatial auto-correlation method (SPAC). Application to the Grenoble
area, Boll. Geof. Teorica Appl., 42, 281–304, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>Caputo, T., Cusano, P., Petrosino, S., Sansivero, F., and Vilardo, G.: Spectral analysis of ground thermal image temperatures: what we are learning at Solfatara volcano (Italy), Adv. Geosci., 52, 55–65, <a href="https://doi.org/10.5194/adgeo-52-55-2020" target="_blank">https://doi.org/10.5194/adgeo-52-55-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>Cleveland, R. B., Cleveland, W. S., McRae, J. E., and Terpenning, I.: STL: A
Seasonal-Trend Decomposition Procedure Based on Loess, J. Off. Stat., 6,
3–73, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>Cusano, P., Petrosino, S., De Lauro, E., De Martino, S., and Falanga, M.: Characterization of the seismic dynamical state through joint analysis of earthquakes and seismic noise: the example of Ischia Volcanic Island (Italy), Adv. Geosci., 52, 19–28, <a href="https://doi.org/10.5194/adgeo-52-19-2020" target="_blank">https://doi.org/10.5194/adgeo-52-19-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>Di Lieto, B., Romano, P., Bilham, R., and Scarpa, R.: Aseismic strain episodes at Campi Flegrei Caldera, Italy, Adv. Geosci., 52, 119–129, <a href="https://doi.org/10.5194/adgeo-52-119-2021" target="_blank">https://doi.org/10.5194/adgeo-52-119-2021</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>Falanga, M., De Lauro, E., Petrosino, S., and De Martino, S.: Interaction between seismicity and deformation on different time scales in volcanic areas: Campi Flegrei and Stromboli, Adv. Geosci., 52, 1–8, <a href="https://doi.org/10.5194/adgeo-52-1-2019" target="_blank">https://doi.org/10.5194/adgeo-52-1-2019</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>Galluzzo, D., Nardone, L., La Rocca, M., Esposito, A. M., Manzo, R., and Di Maio, R.: Statistical moments of power spectrum: a fast tool for the classification of seismic events recorded on volcanoes, Adv. Geosci., 52, 67–74, <a href="https://doi.org/10.5194/adgeo-52-67-2020" target="_blank">https://doi.org/10.5194/adgeo-52-67-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>Godin, G.: The Analysis of Tides, University of Toronto Press, Toronto, Canada, 264 pp., ISBN
0802017479 978-0-8020-1747-5, 1972.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>Greenfield, T., Keir, D., Kendall, J. M., and Ayele, A.: Low-frequency
earthquakes beneath Tullu Moye volcano, Ethiopia, reveal fluid pulses from
shallow magma chamber, Earth Planet. Sc. Lett., 526, 115782,
<a href="https://doi.org/10.1016/j.epsl.2019.115782" target="_blank">https://doi.org/10.1016/j.epsl.2019.115782</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>Hyvärinen, A., Karhunen, J., and Oja, E.: Independent Component Analysis,
John Wiley &amp; Sons, New York, USA, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>Lacoss, R. T., Kelly, E. J., and Toksoz, M. N.: Estimation of seismic noise
structure using arrays, Geophysics, 34, 21–38, 1969.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>Lomax, A., Virieux, J., Volant, P., and Berge, C.: Probabilistic earthquake
location in 3D and layered models: Introduction of a Metropolis-Gibbs method
and comparison with linear locations, in: Advances in Seismic Event
Location, edited by: Thurber, C. H. and Rabinowitz, N., 101–134, Kluwer, Amsterdam, the Netherlands,
2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>Madonia, P.: Variations of low temperature fumaroles as a tool for detecting changes in volcanic activity state: a brief overview, Adv. Geosci., 52, 97–103, <a href="https://doi.org/10.5194/adgeo-52-97-2020" target="_blank">https://doi.org/10.5194/adgeo-52-97-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>Mancini, S., Guida, M., Cuomo, A., and Guida, D.: A geogenic approach for the Radon monitoring and the exposure assessment at a regional scale: The results of the Rad_Campania project, Adv. Geosci., 52, 87–96, <a href="https://doi.org/10.5194/adgeo-52-87-2020" target="_blank">https://doi.org/10.5194/adgeo-52-87-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>Montalbetti, J. F. and Kanasewich, E. R.: Enhancement of teleseismic body
phase with a polarization filter, Geophys. J. R. Astr. Soc., 21, 119–129,
<a href="https://doi.org/10.1111/j.1365-246X.1970.tb01771.x" target="_blank">https://doi.org/10.1111/j.1365-246X.1970.tb01771.x</a>, 1970.
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<ref-html id="bib1.bib18"><label>18</label><mixed-citation>Nardone, L., Esposito, R., Galluzzo, D., Petrosino, S., Cusano, P., La Rocca, M., Di Vito, M. A., and Bianco, F.: Array and spectral ratio techniques applied to seismic noise to investigate the Campi Flegrei (Italy) subsoil structure at different scales, Adv. Geosci., 52, 75–85, <a href="https://doi.org/10.5194/adgeo-52-75-2020" target="_blank">https://doi.org/10.5194/adgeo-52-75-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>Pawlowicz, R., Beardsley, B., and Lentz, S.: Classical tidal harmonic
analysis with error analysis in MATLAB using T_TIDE, Comput.
Geosci., 28, 929–937, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Petrosino, S. and Cusano, P.: Low frequency seismic source investigation in volcanic environment: the Mt. Vesuvius atypical case, Adv. Geosci., 52, 29–39, <a href="https://doi.org/10.5194/adgeo-52-29-2020" target="_blank">https://doi.org/10.5194/adgeo-52-29-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Petrosino, S., Ricco, C., De Lauro, E., Aquino, I., and Falanga, M.: Time evolution of medium and long-period ground tilting at Campi Flegrei caldera, Adv. Geosci., 52, 9–17, <a href="https://doi.org/10.5194/adgeo-52-9-2020" target="_blank">https://doi.org/10.5194/adgeo-52-9-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Scarpa, R., Amoruso, A., Crescentini, L., Romano, P., De Cesare, W., Martini, M., Scarpato, G., Linde, A. T., and Sacks, I. S.: New borehole strain system detects uplift at Campi Flegrei, EOS Trans. AGU, 88, 197–203, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>Tammaro, U., Obrizzo, F., Riccardi, U., La Rocca, A., Pinto, S., Brandi, G., Vertechi, E., and Capuano, P.: Neapolitan volcanic area Tide Gauge Network (Southern Italy): Ground Displacements and Sea-Level Oscillations, Adv. Geosci., 52, 105–118, <a href="https://doi.org/10.5194/adgeo-52-105-2021" target="_blank">https://doi.org/10.5194/adgeo-52-105-2021</a>, 2021a.

</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>Tammaro, U., Riccardi, U., Romano, V., Meo, M., and Capuano, P.: Topography and structural heterogeneities in surface ground deformation: a simulation test for Somma-Vesuvius volcano, Adv. Geosci., 52, 145–152, <a href="https://doi.org/10.5194/adgeo-52-145-2021" target="_blank">https://doi.org/10.5194/adgeo-52-145-2021</a>, 2021b.
</mixed-citation></ref-html>--></article>
