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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</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/essd-15-1133-2023</article-id><title-group><article-title>A geodatabase of historical landslide events occurring in the highly
urbanized volcanic area of Campi Flegrei, Italy</article-title><alt-title>A geodatabase of historical landslide events in the area of Campi Flegrei</alt-title>
      </title-group><?xmltex \runningtitle{A geodatabase of historical landslide events in the area of Campi Flegrei}?><?xmltex \runningauthor{G.~Esposito and F.~Matano}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Esposito</surname><given-names>Giuseppe</given-names></name>
          <email>giuseppe.esposito@irpi.cnr.it</email>
        <ext-link>https://orcid.org/0000-0001-5638-657X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Matano</surname><given-names>Fabio</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7021-9364</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Research Institute for Geo-hydrological
Protection, National Research Council (CNR-IRPI), <?xmltex \hack{\break}?>Perugia, 06128, Italy</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Research Institute of Marine Sciences, National Research Council (CNR-ISMAR), Naples, 80133, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Giuseppe Esposito (giuseppe.esposito@irpi.cnr.it)</corresp></author-notes><pub-date><day>16</day><month>March</month><year>2023</year></pub-date>
      
      <volume>15</volume>
      <issue>3</issue>
      <fpage>1133</fpage><lpage>1149</lpage>
      <history>
        <date date-type="received"><day>2</day><month>August</month><year>2022</year></date>
           <date date-type="rev-request"><day>19</day><month>August</month><year>2022</year></date>
           <date date-type="rev-recd"><day>18</day><month>February</month><year>2023</year></date>
           <date date-type="accepted"><day>20</day><month>February</month><year>2023</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2023 Giuseppe Esposito</copyright-statement>
        <copyright-year>2023</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://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023.html">This article is available from https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e98">The analysis of geological processes threatening people
and properties in a populated region should be based on a comprehensive
knowledge of historical events and related characteristics. This type of
information is essential for predisposing event scenarios, validating
prediction models, and planning risk mitigation measures. Such activities
may be more complex in some geological settings, where urban settlements are
exposed to multi-hazard conditions. This is the case of the densely
populated Campi Flegrei volcanic area located in the Campania region,
southern Italy. Here, volcanic and seismic hazards are associated with
landslides, floods, and coastal erosion, which are playing a relevant role
in the landscape modification. The CAmpi Flegrei LAndslide Geodatabase
(CAFLAG), here presented, provides information related to 2302 landslides
that occurred in the continental, coastal, and insular sectors of the study
area during the 1828–2017 time interval. Data associated with the collected
landslide events highlight the characteristics of both landslides and of the
affected sites. Most of the cataloged mass movements consist of rock falls
affecting rocky slopes formed by lithified volcanic rocks, such as tuff or
ignimbrite. In addition, rainfall-induced earth and debris slides
translating into debris avalanches or rapid flows are widespread along steep
slopes mantled by weakly welded pyroclastic airfall deposits, similarly to
other areas of the region. The highest density of landslides is concentrated
along the coastline, where mass movements are contributing to the retreat of
coastal cliffs, and along inland slopes exposed towards the western
directions, where most of the storm systems come from. Temporal
information shows peaks of landslides in the years 1986, 1997, and 2005. A total
of 127 people lost their lives as a consequence of 53 cataloged landslides,
with a frequency of deadly events observed however to have decreased since the
early 1980s. This information will be useful to analyze mortality and risk
conditions still affecting the population of the Campi Flegrei caldera, which should be fully addressed with advanced knowledge and accurate
scenarios. The full database is freely available online at
<ext-link xlink:href="https://doi.org/10.4121/14440757.v2" ext-link-type="DOI">10.4121/14440757.v2</ext-link> (Esposito and Matano, 2021).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e113">Landslides are among the most effective agents in landform evolution,
especially in areas affected by active volcano-tectonic processes. In these
areas, besides volcanic and associated seismic risks, hillslope instability
processes pose an additional risk to the exposed urban settlements, also
during non-active volcanic phases. Landslides contribute to the dismantling
of volcanic edifices by displacing rock masses that form the volcanic flanks
(Siebert and Roverato, 2021; Di Traglia et al., 2020; Williams et al., 2019;
Walter et al., 2019; Oehler et al., 2004; Ablay and Hürlimann, 2000),
involving in some cases the submarine domain (Dufresne et al., 2021; Coombs
et al., 2007; Masson et al., 2006; Watts et al., 2012; Casalbore et al.,
2020; Chiocci et al., 2008). Weakly welded pyroclastic deposits covering
volcanic or non-volcanic slopes can be also mobilized in response to
rainfall or snow and ice melting by means of rapid or extremely rapid<?pagebreak page1134?> debris
and hyperconcentrated flows, occurring both simultaneously with volcanic
activity (syneruptive lahars) and during pauses or volcano dormancy, i.e.,
“post-eruptive lahars” (Lavigne and Thouret, 2002; Capra et al., 2004;
Pierson et al., 2014; Thouret et al., 2020). In addition, similar
instability conditions can affect wildfire-affected hillslopes covered by
volcanic soils (Neris et al., 2013; Esposito et al., 2019; Peduto et al.,
2022).</p>
      <p id="d1e116">In Italy, the densely urbanized area of Campi Flegrei (Fig. 1) corresponds
to an active volcanic caldera considered among those with the highest
volcanic risk in the world (De Natale et al., 2006). For this reason,
scientific research has been mostly focused on volcanic and seismic hazards,
making the Campi Flegrei one of the most monitored and analyzed calderas in
the world, as well as a reference to enhance the knowledge on mechanisms
controlling volcanic unrest (Troise et al., 2019). On the other hand,
relatively poor attention has been paid towards exogenous processes such as
landslides, floods, and coastal erosion. As a result, the risk posed by
landslides in the Campi Flegrei volcanic area is currently underestimated
both among the scientific community and the population. Landslides in this
area have been reported since the Roman imperial period (Di Martire et al.,
2012). Among the most disastrous recent events documented in the literature that
deserve to be mentioned are (1) the huge tuff collapse that occurred along Mt. Echia
(Naples) in 1868, causing 60 deaths and dozens of injuries (Calcaterra and
de Luca Tupputi Schinosa, 2006); (2) flash floods, debris flows, and rock
falls that occurred in Casamicciola, Lacco Ameno, and Forio (island of Ischia) on 24 October 1910, causing six fatalities and widespread damage (Santo et al.,
2012); (3) the cliff failure that occurred along the Maronti beach in 1978,
killing five tourists (Del Prete and Mele, 1999); and (4) a series of flow-like
mass movements that in 2006 hit some buildings at the footslope of Monte
Vezzi (island of Ischia), where four people died (De Vita et al., 2007; Di
Nocera et al., 2007). These and other minor deadly events indicate that
landslides pose a serious societal risk in the Campi Flegrei area (Cascini
et al., 2008). This risk has also been confirmed by the recent landslides of
26 November 2022 at Casamicciola, on the island of Ischia, where 12 people lost
their lives
(<ext-link xlink:href="https://polaris.irpi.cnr.it/event/colate-di-fango-e-detrito-a-casamicciola-terme-isola-di-ischia/">https://polaris.irpi.cnr.it/event/colate-di-fango-e-detrito-a-casamicciola-terme-isola-di-ischia/</ext-link>, last access: 8 March 2023). Such an event has further highlighted that Ischia can be considered a kind of
hotspot for the geo-hydrological risk in the area.</p>
      <p id="d1e122">The compilation of an up-to-date and complete landslide database that
records location, types, and, where known, the date of occurrence of mass
movements is the simplest initial approach to any study of landslide hazard
(Carrara et al., 1995; Soeters and van Westen, 1996; Devoli et al., 2007;
Guzzetti et al., 2012; Ardizzone et al., 2023). As underlined by Napolitano
et al. (2018), information on historical landslides is important to
understand the complexities and dynamics of past events, as well as to
construct and validate landslide prediction models able to support the
designing of appropriate mitigation measures. In the Campi Flegrei area,
preliminary landslide inventories have been provided by Beneduce et al. (1988) and Calcaterra et al. (2003b). Dozens of events have also been
encompassed in databases and inventories realized at national scale, based
on archive research (AVI database; Guzzetti et al., 1994) and aerial photo
interpretation at <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">25</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula> scale (IFFI landslide inventory map; Trigila et
al., 2010). With reference to the city of Naples, the landslide activity has
been reconstructed by Calcaterra et al. (2002, 2003b, 2007) and Di Martire
et al. (2012) by means of archival and bibliographic research, as well as by
Miele et al. (2022). Failures and retreat rates affecting the cliffed
coastline have been investigated by Matano et al. (2016), Esposito et al. (2017, 2018b, 2020), and by Caputo et al. (2018). Specifically, decadal
retreat rates have been quantified on the order of 1.20 m yr<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (i.e., Torrefumo
cliff during 1956–1974) and short-term (annual) retreat rates within
0.01–0.10 m yr<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on average (i.e., Coroglio cliff during 2013–2015 and
Torrefumo cliff during 2013–2016).</p>
      <p id="d1e164">With the aim of providing a comprehensive landslide geodatabase of the Campi
Flegrei area referring to the 1828–2017 time interval, we have gathered all
the landslide-related information made available from several sources,
including a series of events collected by means of local press, news
websites, and fieldwork. Data have been organized in a GIS environment to
guarantee easy access, management, updating, and sharing with different
users. All the collected and revised data have been used to develop a series
of statistics about the spatial and temporal distribution of the events, failure
types, impact, and relationships with the geological and geomorphological
properties of the affected hillslopes. The CAmpi Flegrei LAndslide
Geodatabase (CAFLAG) here described may be used for future analyses aimed at
evaluating the landslide susceptibility, hazard, and risk conditions, as
well as to understand the geomorphic evolution of the study area. In
addition, the CAFLAG data may be of relevant interest for the international
landslide research community to understand landslide dynamics in volcanic
settings during dormant phases and to implement specific numerical models
aimed at evaluating the landslide susceptibility in similar areas.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e170">Location (red dot in the inset map) and shaded relief of the Campi
Flegrei volcanic area including the islands of Ischia, Procida, and Vivara
(coordinates in EPSG 32633). The shaded relief has been developed from
elevation data of the SIT Regione Campania (for reference see the main text).</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study area</title>
      <p id="d1e187">The Campi Flegrei (Fig. 1) is an active volcanic area located in southern
Italy within the central part of the Campanian Plain, a graben-like
structure that resulted from the tectonic displacement of a Mesozoic carbonate
basement. The Campi Flegrei corresponds to a quasi-circular depression
extending for about 200 km<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>, a large part of which develops off
Pozzuoli Bay (Sacchi et al., 2011, 2020). The insular sector is represented
by the islands of Ischia, Procida, and Vivara (Fig. 1).</p>
      <?pagebreak page1135?><p id="d1e199"><?xmltex \hack{\newpage}?>The most ancient volcanic activity is associated with the volcanism of Ischia,
probably starting earlier than 150 ka (Poli et al., 1987; Vezzoli, 1988),
whereas the activity of the island of Procida occurred mostly around 70 ka (De
Astis et al., 2004). The emplacement of the Mt. Epomeo Green Tuff Formation
(about 55 ka; Vezzoli, 1988) formed the backbone of the highest relief in
the area (actually 788 m a.s.l. on the island of Ischia). At about 39 ka, the
catastrophic eruption of the Campanian Ignimbrite took place, causing the
formation of a large caldera (Rosi and Sbrana, 1987; Orsi et al., 1996;
Perrotta et al., 2006) that was reshaped by the more recent phreatoplinian
eruption of the Neapolitan Yellow Tuff (NYT), dated at 15 ka (Scarpati et
al., 1993; Insinga et al., 2004; Deino et al., 2004). The volcanic activity
that occurred after the NYT eruption was subdivided into three main epochs (Di
Vito et al., 1999), which were interrupted by long periods of quiescence. In
these epochs, minor explosive events occurred within the rim of the NYT
caldera, creating at least 52 monogenic phreatomagmatic vents, including
tuff rings, tuff cones, cinder, and spatter cones (Di Vito et al., 1999;
Insinga et al., 2006; Perrotta et al., 2011). The latest eruption, known as the
“Monte Nuovo eruption”, occurred in 1538 CE. Currently, the Campi
Flegrei is characterized by very high levels of volcanic risk due to many
towns lying in a caldera characterized by unrest conditions, as demonstrated
by widespread fumaroles, thermal springs, earthquakes, and ongoing ground
deformation.</p>
      <p id="d1e203">The current geomorphological configuration of the continental and insular
sectors of the Campi Flegrei is the result of volcanic and geomorphic
processes that occurred in the last 15 kyr, after the NYT eruption. Relics of
volcanic edifices partially dismantled by sea erosion and landslides can be
found along or near the present coastline and in the submarine part of the
NYT caldera (e.g., Sacchi et al., 2009, 2011). Landslides due to earthquakes,
rainstorms, marine erosion, or human actions have repeatedly affected the
slopes of the inland volcanos, ravines, and streams, as well as the steep
scarps of gullies and coastal cliffs through time (Ducci and Napolitano,
1994; Guadagno and Mele, 1995; Mele and Del Prete, 1998; Del Prete and Mele,
1999, 2006; De Vita et al., 2006; Santo et al., 2012; Esposito et al.,
2018b, 2020). Besides volcanic morphologies, the geomorphic setting of Campi
Flegrei also includes lowlands that are located between volcanic edifices or
close to the NYT caldera rims.</p>
      <p id="d1e206">The drainage network is mostly arranged in radial patterns typical of
volcanic edifices, with isolated short channels along gentle slopes and
plains. Vegetation covering the volcanic hillslopes consists mainly of
Mediterranean shrubs that alternate with vineyards and cultivated areas and
locally with pine woods. In addition to climatic conditions described in the
following section, the widespread vegetation is fostered<?pagebreak page1136?> also by fertile
soils (andosols) developed from pyroclastic deposits.</p>
      <p id="d1e210">Currently, the study area is inhabited by approximately 500 000 people, with
an average population density of 3440 people per square kilometer. Besides, it is
visited each year by thousands of tourists due to the archeological,
cultural, and environmental attractions.</p>
<sec id="Ch1.S2.SSx1" specific-use="unnumbered">
  <title>Weather and climate</title>
      <p id="d1e218">The study area is characterized by a Mediterranean climate with hot, dry
summers and moderately cool rainy winters. Mean annual temperatures are in
the range of 10 <inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at the hilly altitudes, 18 <inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C along the
coastline, and 15.5 <inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in the plains surrounding the inland
reliefs (Ducci and Tranfaglia, 2005). The mean temperature of the warmest
month (July) ranges between 24–28 <inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, whereas the mean temperature
of the coldest month (January) ranges between 4–6 <inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.
The rainfall regime is characterized by the maximum amounts in
autumn and winter, with a mean annual precipitation of about 700 mm. It is worth
noting that during the summer and autumn seasons, the coastal sector is
often hit by convective cells forming offshore. Such cells are able to
release high amounts of rain in short times, with maximum 10 min rain
rates higher than 100 mm h<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, as highlighted by Esposito et al. (2015) and
Fortelli et al. (2019). Waterspouts in front of the Flegrean coast are also
associated with these cells. Winds blow mainly from three directions: west,
northeast, south. They can reach wind gusts up to 140 km h<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the winter
season, able to generate sea storms leading to severe damage to coastal
settlements (Fortelli et al., 2021).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data and methods</title>
      <p id="d1e300">The CAFLAG geodatabase refers to the Campi Flegrei area (Fig. 1), extending
about 230 km<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> and including the western part of the city of Naples and
the islands of Ischia, Procida, and Vivara. An overview of the attributes
associated with each cataloged landslide event is shown in Fig. 2. Information
related to both landslide (i.e., data source, localization, date of
occurrence, type of movement, volume of displaced material, impact on
people and properties, predisposing and triggering factors) and the
corresponding affected site (i.e., geomorphological and engineering
geological properties, landslide susceptibility, and hazard levels) is
provided where available.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e314">Overview of the information provided within the CAFLAG
geodatabase.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f02.png"/>

      </fig>

<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Landslide data sources</title>
      <p id="d1e330">All the considered landslide data sources are listed as follows. The first
seven sources can be considered “archive” sources, whereas the last two
are “new” sources:
<list list-type="bullet"><list-item>
      <p id="d1e335">IFFI landslide inventory map (Inventario Fenomeni Franosi in Italia) (Trigila et al., 2010)
(<uri>http://www.progettoiffi.isprambiente.it/en/</uri>, last access: 26 May 2022);</p></list-item><list-item>
      <p id="d1e342">AVI catalog (Aree Italiane storicamente Vulnerate da calamità geologiche ed idrauliche) (<uri>http://sici.irpi.cnr.it/avi.htm</uri>, last access: 26 May 2022);</p></list-item><list-item>
      <p id="d1e349">landslide database and inventory map of the hydrographic basin authority
(AdB) (namely Campania Centrale Basin Authority)
(<ext-link xlink:href="http://www.distrettoappenninomeridionale.it/index.php/elaborati-di-piano-menu/bacini-reg-nord-occidentali-bacino-reg-sarno-ex-adb-reg-campania-centrale-menu/piano-assetto-idrogeologico-rischio-da-frana-menu">http://www.distrettoappenninomeridionale.it/index.php/ elaborati-di-piano-menu/bacini-reg-nord-occidentali-bacino-reg-sarno-ex-adb-reg-campania-centrale-menu/piano-assetto-idrogeologico-rischio-da-frana-menu</ext-link>,
last access: 26 May 2022);</p></list-item><list-item>
      <p id="d1e356">Geological Map of Italy – CARG (Carta Geologica d'Italia) project (Sheets 446–447, 464, 465;
<inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">25</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula>–<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula> scale) (<uri>http://www.isprambiente.gov.it/Media/carg/campania.html</uri>,
last access: 26 May 2022);</p></list-item><list-item>
      <p id="d1e393">landslide inventories of the city of Naples (Calcaterra et al., 2002, 2003b,
2007; Di Martire et al., 2012);</p></list-item><list-item>
      <p id="d1e397">seismically induced landslide inventory of the island of Ischia (Caccavale et
al., 2017; Rapolla et al., 2012);</p></list-item><list-item>
      <p id="d1e401">scientific papers (Beneduce et al., 1988; Calcaterra et al., 2003a, 2010; Di
Nocera et al., 2007; Santo et al., 2012);</p></list-item><list-item>
      <p id="d1e405">field geomorphological surveys performed on coastal sectors during
2013–2018, documented by Esposito et al. (2015, 2017, 2018b, 2020) and
Caputo et al. (2018);</p></list-item><list-item>
      <p id="d1e409">landslide reports collected from digital archives of the principal
newspapers and news websites in the study area
(<uri>https://napoli.repubblica.it/</uri>, last access: 8 March 2023; <uri>http://www.ilmattino.it</uri>, last access: 8 March 2023; <uri>http://www.cronacaflegrea.it</uri>, last access: 8 March 2023;
<uri>http://www.montediprocida.com</uri>, last access: 8 March 2023; <uri>http://www.freebacoli.net</uri>, last access: 8 March 2023).</p></list-item></list>
All of the events contained in the CAFLAG geodatabase are geocoded in a
point shapefile, with each point referring to the centroid of the landslide
scar. Pre-existing catalogs (IFFI, AVI, AdB) were available in shapefile
formats so that each event was already associated with a georeferenced point.
The other sources instead provided static map images requiring a manual
digitalization of the location points or information allowing for placing the
representative point on the corresponding hillslope by using as support the
WMS services of the SIT Regione Campania WebGIS
(<uri>https://sit2.regione.campania.it/content/servizi-wms</uri>, last access:  26 May 2022), such as (i) topographic map at <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">5000</mml:mn></mml:mrow></mml:math></inline-formula> scale, (ii) the derived digital
terrain model (DTM) with a pixel size of 5 m, and (iii) an orthophoto at <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">10</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula>
scale. All these datasets refer to the years 2004–2005.</p>
      <p id="d1e458">Given that the used sources included sometimes redundant events, a
preliminary data filtering was performed manually by deleting those
characterized by the same attributes and location, indicating therefore the
same landslide event. Generally, the level of completeness of information
associated with the collected events is quite heterogeneous, as well as the
level of accuracy, as explained in the following section.</p>
</sec>
<?pagebreak page1137?><sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Geodatabase structure</title>
      <p id="d1e470">Attributes associated with the landslide events of the CAFLAG geodatabase
(Fig. 2) are specified in Table 1. The primary set of information refers to
data sources and spatial and temporal properties of the events with related
accuracy. High spatial accuracy was attributed to events associated with
accurate geographical information, as for example accurate spatial
coordinates provided in available databases, with indications about the affected
road section, specific buildings, or sites. Where this type of information
was not available, a low spatial accuracy was indicated, providing rough
coordinates of the landslide-affected site (e.g., center of the locality,
road or beach hit by the mass movement). High temporal accuracy was
attributed to events associated with a complete date (i.e., dd/mm/yyyy),
moderate accuracy to events characterized by both month and year of
occurrence, and low accuracy to events which could be placed in a wide
period of time before or within a specific year. The movement type (fall,
flow, slide, complex) and the involved material (earth, debris, rock) were
defined according to the classification of Cruden and Varnes (1996). Further
attributes describe the impact of the cataloged landslides on people,
buildings, and infrastructure, as well as, in a few cases only, indications about
the factors predisposing or triggering the mass movements (e.g., rainfall,
digging activities).</p>
      <p id="d1e473">A secondary set of information refers to geomorphological properties of the
landslide-affected sites, such as (i) type and name of the affected
watersheds; (ii) geomorphological context in terms of inner slope (i.e., not
related to direct sea action), coastal slope, or quarry; and (iii) morphometric properties of the affected hillslopes (elevation, slope,
aspect), calculated from the intersection of each vector point with the DTM.
By overlapping the point shapefile with engineering geological maps
available for the area (Caccavale et al., 2017; Sacchi et al., 2015), both
geotechnical and seismic properties of lithotypes involved in the landslides
were obtained, as well as the landslide hazard and susceptibility levels of
the sites, extracted from the landslide risk plan of the Campania Centrale
Basin Authority
(<ext-link xlink:href="http://www.distrettoappenninomeridionale.it/index.php/elaborati-di-piano-menu/bacini-reg-nord-occidentali-bacino-reg-sarno-ex-adb-reg-campania-centrale-menu/piano-assetto-idrogeologico-rischio-da-frana-menu">http://www.distrettoappenninomeridionale.it/index.php/ elaborati-di-piano-menu/bacini-reg-nord-occidentali-bacino-reg-sarno-ex-adb-reg-campania-centrale-menu/piano-assetto-idrogeologico-rischio-da-frana-menu</ext-link>,
last access: 26 May 2022).</p>
      <p id="d1e479">All the statistical analyses were performed by means of the Microsoft™
Excel software, and results were displayed in a series of histograms and
pie charts. Statistics related to deadly events, based on the
frequency–number (<inline-formula><mml:math id="M17" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M18" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) relations, were aimed at analyzing the societal risk by
following the work of Cascini et al. (2008).</p>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e500">Attribute list of the CAFLAG geodatabase.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.85}[.85]?><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="8cm"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="5.5cm"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Attribute</oasis:entry>
         <oasis:entry colname="col2">Brief description</oasis:entry>
         <oasis:entry colname="col3">Type</oasis:entry>
         <oasis:entry colname="col4">Features (range, classes, measure unit, etc.)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">ID</oasis:entry>
         <oasis:entry colname="col2">A unique, incremental number as identifier for each landslide event</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Four digits</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">SOURCE_T</oasis:entry>
         <oasis:entry colname="col2">Typology of data source</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Two classes (archive, new)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">SOURCE</oasis:entry>
         <oasis:entry colname="col2">Name of data source</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Free</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">LATITUDE</oasis:entry>
         <oasis:entry colname="col2">Latitude of the landslide-related vector point converted to UTM coordinate <inline-formula><mml:math id="M19" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">UTM kilometer coordinate</oasis:entry>
         <oasis:entry colname="col4">EPSG:32633</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">LONGITUDE</oasis:entry>
         <oasis:entry colname="col2">Longitude of the landslide-related vector point converted to UTM coordinate <inline-formula><mml:math id="M20" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">UTM kilometer coordinate</oasis:entry>
         <oasis:entry colname="col4">EPSG:32633</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">TOWN</oasis:entry>
         <oasis:entry colname="col2">Affected town</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">13 towns</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">LOCALITY</oasis:entry>
         <oasis:entry colname="col2">Affected locality (local name of the involved area)</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Free</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">LOCAT_ACC</oasis:entry>
         <oasis:entry colname="col2">Location accuracy</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Two classes (low, high)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">TEMP_IND</oasis:entry>
         <oasis:entry colname="col2">Temporal indication</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Four classes (time period, year, partial or full date of occurrence)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">TEMP_ACC</oasis:entry>
         <oasis:entry colname="col2">Temporal accuracy</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Three classes (low, moderate, high)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">YEAR</oasis:entry>
         <oasis:entry colname="col2">Year of occurrence</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Four digits (yyyy)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">MONTH</oasis:entry>
         <oasis:entry colname="col2">Month of occurrence</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Two digits (mm)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">DAY</oasis:entry>
         <oasis:entry colname="col2">Day of occurrence</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Two digits (dd)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">TIME</oasis:entry>
         <oasis:entry colname="col2">Time of occurrence</oasis:entry>
         <oasis:entry colname="col3">Time or day phase</oasis:entry>
         <oasis:entry colname="col4">hh:mm or three classes (morning, afternoon, night)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">MOV_TYPE</oasis:entry>
         <oasis:entry colname="col2">Type of movement according to the classification of Cruden and Varnes (1996)</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Four classes (fall, flow, slide, complex)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">MAT_TYPE</oasis:entry>
         <oasis:entry colname="col2">Type of displaced material according to the classification of Cruden and Varnes (1996)</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Three classes (earth, debris, rock)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">ROUGH_VOL</oasis:entry>
         <oasis:entry colname="col2">Rough volume of the displaced material</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in cubic meters</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">DAMAGE</oasis:entry>
         <oasis:entry colname="col2">Type of damage</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Free</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">INJURED</oasis:entry>
         <oasis:entry colname="col2">People injured</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Number (1–7)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">FATAL</oasis:entry>
         <oasis:entry colname="col2">People killed</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Number (1–25)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">CAUSE</oasis:entry>
         <oasis:entry colname="col2">Landslide predisposing or triggering factor</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Seven classes (digging, dumping, earthquake, mining, rainfall, water leak, wildfire)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">WATER_TYPE</oasis:entry>
         <oasis:entry colname="col2">Type of watershed in which the landslide-affected site occurs</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Three classes (coastal, endorheic, inland)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">WATER_NAME</oasis:entry>
         <oasis:entry colname="col2">Name of the watershed in which the landslide-affected site occurs</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Free</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">GEOM_CONT</oasis:entry>
         <oasis:entry colname="col2">Geomorphological context in which the landslide-affected site occurs</oasis:entry>
         <oasis:entry colname="col3">Text</oasis:entry>
         <oasis:entry colname="col4">Three classes (inner slope, coastal slope, quarry)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">ELEVATION</oasis:entry>
         <oasis:entry colname="col2">Elevation of the landslide-affected site</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in meters above sea level (2–682)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">SLOPE</oasis:entry>
         <oasis:entry colname="col2">Slope of the landslide-affected site</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in angular degree (4–77)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">ASPECT</oasis:entry>
         <oasis:entry colname="col2">Aspect of the landslide-affected site</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in angular degree (1–360)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">UNIT_W</oasis:entry>
         <oasis:entry colname="col2">Unit weight of the involved lithological unit (average)</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in kilonewtons per cubic meter (13.0–27.25)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">FRICTION_A</oasis:entry>
         <oasis:entry colname="col2">Friction angle of the involved lithological unit (average)</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in angular degree (25–40)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">COHESION</oasis:entry>
         <oasis:entry colname="col2">Cohesion of the involved lithological unit (average)</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in kilopascals (1–800)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Vs30</oasis:entry>
         <oasis:entry colname="col2">Average shear-wave velocity in the first 30 m of the site's stratigraphic succession</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in meters per second (150–1275)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">AVG_THICK</oasis:entry>
         <oasis:entry colname="col2">Average thickness of the pyroclastic cover</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Expressed in centimeters (7–150)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">HAZARD</oasis:entry>
         <oasis:entry colname="col2">Hazard level related to the landslide-affected site, as evaluated by the local basin authority</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Four classes (1, 2, 3, 4)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SUSC</oasis:entry>
         <oasis:entry colname="col2">Susceptibility level related to the landslide-affected site, as evaluated by the local basin authority</oasis:entry>
         <oasis:entry colname="col3">Numeric</oasis:entry>
         <oasis:entry colname="col4">Three classes (1, 2, 3)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e1067">Map of the cataloged landslides, classified according to the type
of movement (coordinates in EPSG 32633).</p></caption>
          <?xmltex \igopts{width=384.112205pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f03.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
      <p id="d1e1085">The CAFLAG geodatabase encompasses 2302 landslides that occurred throughout the
continental, coastal, and insular sectors of the Campi Flegrei during the
1828–2017 time span (Fig. 3). The number of landslides characterized by a highly accurate
position is 2122 (about 92 % of the total). The number of those with a temporal
accuracy ranging from moderate to high is 482, corresponding to about 21 % of the total. Statistics presented in the following sections describe
some general features of the collected data which are useful to
characterize the landslide phenomena in the area.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e1090">Landslide events classified according to the type of movement <bold>(a)</bold> and displaced material <bold>(b)</bold>.</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f04.png"/>

      </fig>

<?pagebreak page1139?><sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Landslide general features</title>
      <p id="d1e1112">In this section, statistical distributions of the landslide movement types,
displaced material, and displaced volume are described. Data in Fig. 4
highlight that most of the cataloged landslides are characterized by a
complex movement (1115). Among them, specific information about the failure
mechanism is available for 343 complex landslides only (15 %), whereas no
indication is available for the other 772 (34 %). The most recurrent
movement type among the non-complex landslides is fall (621 events –
25 %), which is slightly more frequent than slide and flow types (13 %
each).</p>
      <p id="d1e1115">Examples of rock falls are shown in Fig. 5. These failures are quite
frequent along both the coastal and inner tuffaceous cliffs, determining
episodic and localized cliff retreats that pose a serious risk to buildings
and people living near to the cliff tops. These are able to displace huge
rock masses, mobilizing up to thousands of cubic meters of volcaniclastic
rocks.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1120">Examples of rock fall affecting the Campi Flegrei coastal cliffs:
Punta Miseno (2015) on the left and Trentaremi–Capo Posillipo (2017) on
the right (both sites are indicated in Fig. 1) (image credits: Alessandro Fedele, INGV).</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f05.jpg"/>

        </fig>

      <p id="d1e1130">Figure 6 shows instead a series of rainfall-induced shallow landslides
displacing unconsolidated pyroclastic deposits and soils. Images refer to
two different events affecting Monte Vezzi (island of Ischia) in April 2006 and the coastal slope of Monte di Procida in 2010. Rocky cliffs like
those represented in Fig. 5 are the most affected by landslides (43 %), whereas slopes covered by soils and fine pyroclastic deposits (earth)
(see examples in Fig. 6) are affected by 30 % of the events. Coarser
pyroclastic deposits or ancient landslide and debris deposits are those less
involved with mass movements (27 %) (Fig. 4).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1135">Examples of flow-like mass movements at Monte Vezzi on the island of Ischia (2006) on the left and at Miliscola–Monte di Procida (2010) on
the right (both sites are indicated in Fig. 1) (image credits: Nucleo
elicotteri Vigili del Fuoco Salerno; Paola Romano).</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f06.jpg"/>

        </fig>

      <?pagebreak page1140?><p id="d1e1144">Volumetric data are available for 277 landslides (Fig. 7), corresponding to
about 12 % of the whole dataset. Values range from 1 to 7500 m<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>
with a mean of about 123 m<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> per event. About 40 % of the 277
landslides displaced a volume smaller than or equal to 10 m<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> and 23 % a
volume larger than or equal to 100 m<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>. As shown in Fig. 7, the sharp break
in the curve slope located at around 10 m<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> highlights that landslides
with volumes below this value are strongly underestimated. This is likely
due to the missed reporting of minor landslides, which often do not cause
damage or casualties.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1194">Cumulated frequency distribution of the 277 landslides with
volumetric data.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f07.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e1206">Yearly <bold>(a)</bold> and monthly <bold>(b)</bold> distribution of the landslide events
characterized by temporal information.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Temporal distribution</title>
      <p id="d1e1230">The year of occurrence is known for 517 landslides only, with monthly
information available for 482 of them. Incompleteness of historical
information in the first half of the analyzed period results in a yearly
trend (Fig. 8a) characterized by a misleading linear increase in the number
of landslides. On the other hand, peaks in the years 1986, 1997, and 2005 (i.e. 50, 91, and  70 events, respectively) that exceed significantly the average
value of 2.4 events per year can be considered realistic because they occurred in
the period (i.e., between 1985 and 2017) with the highest availability of
documentary sources. In this period, the annual frequency assumes an almost
constant average value of 9.9 events per year. Regarding the seasonality,
most of the events occurred in the winter season, and specifically in the
months from<?pagebreak page1141?> January to March, even if a number of events occurred also in
the late summer–fall months (Fig. 8b).</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Deadly impact and societal risk</title>
      <p id="d1e1241">According to the information collected in the CAFLAG geodatabase, 127 people
lost their lives as a consequence of 53 fatal landslides that occurred in the 105-year period
(1912–2017) with an average rate of 1.2 fatalities per year. The temporal
distribution of fatalities is represented in Fig. 9; here, the cumulative
curve has a stepped shape in a broader concave (downward) trend, and its
slope increases corresponding to significant events in terms of
fatalities, such as the landslide of 1948, corresponding to the deadliest
within the analyzed time period (25 fatalities). Since the early 1980s, the
average frequency of fatalities per year decreased from 1.7 (related to the
time span 1910–1980) to 0.3, as highlighted by a gentler slope of the
cumulative curve. This reduction in the trend, also documented at national
scale (Rossi et al., 2019; Esposito et al., 2023), can be due to the
increased resilience of local communities based on new technologies and
prevention measures, as well as on a higher awareness about the risk posed
by geo-hydrological processes.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e1246">Statistics of fatalities caused by landslides in the analyzed time
span.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f09.png"/>

        </fig>

      <p id="d1e1255">In order to analyze the societal risk posed by landslides in the study area
since 1912, the <inline-formula><mml:math id="M26" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M27" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> curve was developed for both continental and insular
sectors and compared with the <inline-formula><mml:math id="M28" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M29" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> curve realized by Cascini et al. (2008)
for a larger area of the Campania region characterized by pyroclastic
deposits covering a volcanic substratum (lava and tuff). This curve
represents the cumulative probability per year (<inline-formula><mml:math id="M30" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>) that landslides will
cause <inline-formula><mml:math id="M31" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> or more fatalities versus the<?pagebreak page1142?> number of fatalities resulting from
landslides (Fell and Hartford, 1997). The <inline-formula><mml:math id="M32" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M33" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> curve in Fig. 10 is
characterized by a relatively high slope owing to the great number of
incident data which refer to landslide events resulting in no more than 25
fatalities and by the lack of data from before 1912, which are not considered in
this study. The curve obtained for the study area (Fig. 10) shows that the
societal risk posed by landslides is very high when compared to that
estimated by Cascini et al. (2008) for the whole volcanic areas of the
Campania region. The two curves show a similar behavior until <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>. After
that point, the curve of Cascini et al. (2008) goes down towards lower <inline-formula><mml:math id="M35" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> values controlled by fatalities in the interval <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>&lt;</mml:mo><mml:mi>N</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula>,
which do not occur in this study. This result can be of particular concern
for public authorities in charge of landslide risk mitigation by defining acceptable and tolerable
landslide risk thresholds for society. Generally, as recognized for the whole
Campania territory (Cascini et al., 2008), anthropogenic factors represent
the most important triggering cause of landslides associated with no more than
three fatalities, while critical rainfall is able to trigger also landslides
with worse consequences in terms of fatalities (e.g., landslides of 26 November 2022 at Casamicciola – 12 fatalities).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e1353"><inline-formula><mml:math id="M37" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M38" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> curve of the Campi Flegrei study area compared with the <inline-formula><mml:math id="M39" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M40" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>
curve developed by Cascini et al. (2008) for a larger area of the Campania
region, encompassing the Campi Flegrei, Vesuvius, and Roccamonfina volcanic
sectors. <inline-formula><mml:math id="M41" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> is the annual frequency of events causing <inline-formula><mml:math id="M42" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> or more fatalities.
The two curves have been normalized for the areal extension of the
investigated areas (1741 km<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> for the whole volcanic areas of the
region and 230 km<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> for the Campi Flegrei study area).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f10.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Geomorphic and engineering geological properties of the affected
hillslopes</title>
      <p id="d1e1430">Statistics related to the 2122 landslides characterized by an accurate
location (high) show that 53 % of them occurred in steep terrains
characterized by slope angles ranging from 30 to 77<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, whereas 47 % occurred on gentler slopes characterized by slope angles lower than 30<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The highest absolute frequency of events occurs in the slope class from 30 to 40<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (22 %); the highest densities (events km<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) occur in
the classes 50–60<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (92 events km<inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and
60–70<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (97 events km<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) (Fig. 11).</p>
      <p id="d1e1515">Aspect data in Fig. 11 show the highest density of landslides along slopes
exposed towards the northwest direction (i.e., 315–360<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) and the  highest absolute frequency in the aspect class
from 225 to 270<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. A lower frequency of events occurs
instead for slopes exposed towards the east. This can be linked to the direction
from which the rainstorms associated with low-pressure systems usually came
from, such as the Tyrrhenian Sea (Fig. 1) located to the west of the study
area (Saviano et al., 2019; Fortelli et al., 2019).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e1538">Distribution of the landslide events according to the slope
gradient and aspect of the affected hillslopes.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f11.png"/>

        </fig>

      <p id="d1e1548">Most of the landslides occurred along the inner hillslopes (78 %), about
21 % affected coastal cliffs, and 1 % occurred along quarry cliffs. On
the other hand, by considering the relative area of these three
geomorphological contexts, the highest concentration of landslides can be
found along the coastal sector (Fig. 12), confirming the strongly active
coastal dynamics in the study area, as deduced also from the coastal cliff
retreat rates (Esposito et al., 2018b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e1553">Distribution of the landslide events according to the
geomorphological context.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f12.png"/>

        </fig>

      <p id="d1e1562">Statistics of the geotechnical properties characterizing lithologies
involved in 2106 mass movements reveal a concentration of records (92 %)
corresponding to average unit weights typical of volcaniclastic
deposits in a range from 13 to 17 kN m<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 13a). A few (8 %) displaced lithologies are characterized by higher values, corresponding to
lavas and other solid rocks outcropping in the area. The histogram of the
friction angle highlights values typical of pyroclastic rocks (Caccavale et
al., 2017, and reference therein) ranging from 25 to 40<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, depending on the degree of density and mineral composition, with the
highest frequency in the ranges from 25 to 31<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (Fig. 13b). At the same time, cohesion also concentrates in the typical interval
of weakly welded pyroclastic deposits and specifically below 50 kPa,
whereas higher values refer to the most lithified rocks (Fig. 13c).</p>
      <p id="d1e1595">The statistical distribution of the Vs30 parameter indicates that 73 % of
landslide-affected (out of 2078) lithologies are characterized by low Vs30
values, ranging from 100 to 400 m s<inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 13d), which can be explained by
weak geotechnical properties of the pyroclastic deposits documented in the
area (e.g., Rowley et al., 2021; Albano et al., 2018; Caccavale et al.,
2017).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><?xmltex \currentcnt{13}?><?xmltex \def\figurename{Figure}?><label>Figure 13</label><caption><p id="d1e1612">Distribution of the landslide events according to the unit weight <bold>(a)</bold>, friction angle <bold>(b)</bold>, cohesion <bold>(c)</bold>, and Vs30 <bold>(d)</bold> of the displaced
lithologies.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/15/1133/2023/essd-15-1133-2023-f13.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS5">
  <label>4.5</label><title>Limitations of the CAFLAG geodatabase</title>
      <p id="d1e1641">Historical landslide catalogs are commonly affected by incompleteness and
biases resulting from the type of sources used to collect information
(Pereira et al., 2014). These limitations are usually of unknown effect or
seriousness, and there are no general data analysis rules for eliminating
them (Ibsen and Brunsden, 1996). The analysis of the completeness of
historical catalogs of natural events is almost always difficult (Rossi et
al., 2010), and, in the case of landslides, it depends on the assessment of the
fraction of mass movements in an inventory compared to the real number of
events<?pagebreak page1143?> in the study area (Guzzetti et al., 2012). The CAFLAG geodatabase
refers to a relatively small geographical area with respect to other
published regional or national historical landslide databases, like those
listed by Bíl et al. (2021). On one side, this reduces the biases in
the spatial accuracy and completeness of the geodatabase. In fact, 92 %
(2122) of the 2302 records are characterized by high spatial accuracy,
highlighting an adequate localization of the recorded landslides. At the
same time, the spatial completeness can be considered relatively high since
many small and isolated events are also reported. In addition, indirect
evidence of the high completeness of the CAFLAG geodatabase can be derived
from a comparison with other databases covering comparable time ranges and even larger spatial extents. For example, Devoli et al. (2007) cataloged 132
historical landslides that occurred in Nicaragua in the time period
1826–1988 (162 years); Elliott and Kirschbaum (2007) realized a
preliminary database covering the state of Utah (USA), encompassing 356
landslide occurrences from 1850 to 1978 (128 years); Laprade et al. (2000)
reported 1326 landslides which occurred between January 1890 and June 1999
(109 years) in Seattle (USA); and Pereira et al. (2014) reported 628 landslides in northern
Portugal in the period 1900–2010 (110 years). All these databases report
a lower number of records compared to those (no. 2302) within the CAFLAG
geodatabase. Besides this, it is worth noting that the completeness of the
CAFLAG geodatabase is certainly poor in those areas where the population
density is low, such as coastal cliffs or areas close to the
craters of volcanic edifices (Fig. 3).</p>
      <p id="d1e1644">An evident bias affects the temporal information. In fact, there are  only 344 (15 %) landslides with a
high temporal accuracy (i.e., dd/mm/yyyy), whereas most
are characterized by low accuracy (79 %) and the remaining part by
moderate accuracy (6 %). Such a bias depends on the usage of
geomorphological inventories developed mostly by means of the visual
interpretation of aerial photographs (e.g., IFFI, inventory map of the AdB,
CARG project) which do not allow for determining accurate temporal information
on the occurrence of landslides (Trigila et al., 2010). In addition, the
steady growth of the number of reported landslides over time, shown in Fig. 8a, is ostensibly controlled by an increased availability of documental
sources rather than a real rise in mass movements, as observed at both
national scale (Guzzetti and Tonelli, 2004) and in other Italian regions
(Salvati et al., 2009; Piacentini et al., 2018). On the other hand, peaks
recorded in the years 1986, 1997, and 2005 characterized by 50, 91, and 70
events, respectively, are likely due to a particularly high landslide activity
and require an in-depth analysis.</p>
      <p id="d1e1647">Information on the displaced volumes is available for 12 % of the events,
whereas the type of damage is reported for 41 events only, representing
further limitations in the magnitude information reported within the CAFLAG
geodatabase.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Data availability</title>
      <p id="d1e1660">The CAmpi Flegrei LAndslide Geodatabase (CAFLAG) is freely available in the
4TU.ResearchData repository at <ext-link xlink:href="https://doi.org/10.4121/14440757.v2" ext-link-type="DOI">10.4121/14440757.v2</ext-link> (Esposito
and Matano, 2021).</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Summary and conclusions</title>
      <p id="d1e1674">Historical catalogs represent unique information to inspect the extent,
types, pattern, recurrence, and statistics of slope failures in a given
territory (Guzzetti et al., 2012). In<?pagebreak page1144?> volcanic landscapes, these catalogs
are even more necessary to reach a comprehensive knowledge about the role
played by landslides in the geomorphic evolution of these settings and about
processes that lead to slope failures and control their spatial variations
(Yano et al., 2019). As highlighted by data reported within the CAFLAG
geodatabase, weak geotechnical properties of the volcanic lithotypes (Fig. 13) coupled with a rough topography play a relevant role in predisposing
volcanic hillslopes to mass-wasting processes. This should be demonstrated
also with numerical analyses by exploiting the twofold contributions
provided by the CAFLAG geodatabase, consisting of data related to both
landslide processes and geo-environmental properties of the affected sites
which can be exposed to new instabilities. These two types of information
coincide in fact with inputs required by statistically based landslide
susceptibility models, namely “dependent” and “explanatory” variables,
respectively (Reichenbach et al., 2018). Therefore, data of the CAFLAG
geodatabase may be aimed at calibrating or validating statistical models
resulting in landslide susceptibility and hazard maps which, in the study
area, may complement the official hazard zonation.</p>
      <p id="d1e1677">The high spatial accuracy of the cataloged records, detailed information on
typologies, and morphometric and geotechnical properties of the affected sites thus
provide a valuable opportunity to investigate the occurrence of
landslides in relation to other geo-environmental predisposing or triggering
factors. For instance, analyses described in the previous sections highlight
that mass-wasting processes are concentrated along the coastal sector. Collapses
of the coastal cliffs can be considered the most important agents leading to
cliff retreat in the area, since these are able to remove large volumes of
rocks in short times (Esposito et al., 2017, 2018b). The CAFLAG geodatabase
could thus be exploited to assess susceptibility of the rocky coastline
against marine erosion or risk conditions affecting the widespread
anthropic settlements and the people located there.</p>
      <p id="d1e1680">Statistics show that rocky slopes formed by lithified volcanic rocks, such
as tuff or ignimbrite, were mostly affected by rock falls. In the coastal
area, this was documented by Ducci and Napolitano (1991), who analyzed the
cliff failures along the coastline of the island of Procida, observing that all of the
identified collapses were rock falls and topples involving tuffaceous
formations. Similar results were achieved by Del Prete and Mele (1999) for
the cliffs of the island of Ischia. In the inland areas, however, many
landslides affected the walls of old and abandoned quarries or digging fronts
(Calcaterra et al., 2007). Discontinuity systems characterizing rock masses
play a fundamental role in predisposing rocky slopes to failure processes,
as well as in controlling<?pagebreak page1145?> the volume of the mobilized rocks (Matano et al.,
2016). In the study area, discontinuities consist of faults, joints, and
fractures associated with volcano-tectonic processes (Vitale and Isaia, 2014).
Other failure-predisposing factors include geotechnical properties (e.g., low
cohesion in Fig. 13) and weathering processes typical of the Flegrean area,
such as the zeolitization and argillification of pyroclastic rocks. Water
circulation, earthquakes, sea wave action, or anthropic vibrations and
excavations can be considered among the main triggering factors. Besides the
dominance of landslides involving solid rocks, the shallow sliding of loose
pyroclastic deposits (i.e., pumices, scoria, ashes, and lapilli) and soils
covering the lithified formations is also frequent. Commonly, these failures
start as translational slides and evolve into debris or hyperconcentrated
flows within gullies or into debris avalanches along the steep open slopes (Fig. 6) (Calcaterra et al., 2003b). Intense rainfall represents the triggering
factor of the initial slide. Elevated slope angles and geotechnical
properties of the involved material (Fig. 13) lead to a rapid or very rapid
evolution in flow processes, as observed in the recent event of
Casamicciola.</p>
      <p id="d1e1683">Many events affected hillslopes exposed towards the west, north, and south. This
may be explained by the frequent impact of these hillslopes with convective
cells and low-pressures systems coming from the Tyrrhenian Sea (Saviano et
al., 2019). These meteorological structures are able to release high amounts
of rainfall causing also flash flood processes (e.g., Esposito et al., 2015,
2018a) and are often associated with strong winds and storm surges damaging
coastal infrastructures, as documented in the city of Naples in 2020
(Fortelli et al., 2021).</p>
      <p id="d1e1687">Another relevant finding of the current analysis is that in the analyzed
time period, 53 landslide events caused 127 fatalities with an average rate
of 1.2 fatalities per year (Fig. 9). Most of the people died in the city of
Naples, hit by rocky blocks detached from steep tuffaceous slopes; others
died because of flow-like mass movements, recurring mostly on the island of Ischia (e.g., Santo et al., 2012). The intense urbanization of the area
developed after the Second World War determined an increase in fatal
landslides (Fig. 9) and risk conditions in a way that, as highlighted also
by the <inline-formula><mml:math id="M59" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M60" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> curve (Fig. 10), landslides in the area represent a relevant
societal risk. Data contained in the CAFLAG geodatabase may be thus
exploited for applications aimed at planning countermeasures for the
landslide risk reduction.</p>
</sec>

      
      </body>
    <back><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1708">GE and FM collected and processed the data. GE
prepared the first draft of the paper. FM edited and integrated the text at
several stages, supervising the research activity.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1714">The contact author has declared that neither of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1720">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1726">A first draft of the geodatabase was developed within the
research project PON MONICA funded by the Italian Ministry of Education,
University and Research (grant number PON01_01525 –
coordinator of the CNR-IAMC research unit: Marco Sacchi; national
coordinator: Giuseppe De Natale – INGV). We are grateful to the editor
and four anonymous referees for their constructive comments that helped us
to improve the content, quality, and readability of the work.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1731">This paper was edited by Giulio G. R. Iovine and reviewed by four anonymous referees.</p>
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