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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <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-44-101-2017</article-id><title-group><article-title>Civil protection and Damaging Hydrogeological Events: comparative analysis
of the 2000 and 2015 events in Calabria (southern Italy)</article-title>
      </title-group><?xmltex \runningtitle{Civil protection and Damaging Hydrogeological Events}?><?xmltex \runningauthor{O. Petrucci et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Petrucci</surname><given-names>Olga</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6918-1135</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Caloiero</surname><given-names>Tommaso</given-names></name>
          <email>tommaso.caloiero@isafom.cnr.it</email>
        <ext-link>https://orcid.org/0000-0002-0393-4592</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Pasqua</surname><given-names>Angela Aurora</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1560-8946</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Perrotta</surname><given-names>Piero</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Russo</surname><given-names>Luigi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Tansi</surname><given-names>Carlo</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>National Research Council of Italy, Research Institute for
Geo-hydrological Protection (CNR-IRPI),<?xmltex \hack{\break}?> Rende (CS), 87036, Italy</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>National Research Council of Italy, Institute for Agriculture and
Forest Systems in the Mediterranean (CNR-ISAFOM), Rende (CS), 87036, Italy</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Calabrian Civil Protection Unit, Catanzaro, 88100, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Tommaso Caloiero (tommaso.caloiero@isafom.cnr.it)</corresp></author-notes><pub-date><day>9</day><month>November</month><year>2017</year></pub-date>
      
      <volume>44</volume>
      <fpage>101</fpage><lpage>113</lpage>
      <history>
        <date date-type="received"><day>7</day><month>December</month><year>2016</year></date>
           <date date-type="rev-recd"><day>11</day><month>September</month><year>2017</year></date>
           <date date-type="accepted"><day>9</day><month>October</month><year>2017</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017.html">This article is available from https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017.pdf</self-uri>
      <abstract>
    <p>Calabria (southern Italy) is a flood prone region, due to both its rough
orography and fast hydrologic response of most watersheds. During the rainy
season, intense rain affects the region, triggering floods and mass movements
that cause economic damage and fatalities. This work presents a
methodological approach to perform the comparative analysis of two events
affecting the same area at a distance of 15 years, by collecting all the
qualitative and quantitative features useful to describe both rain and
damage. The aim is to understand if similar meteorological events affecting
the same area can have different outcomes in terms of damage. The first event
occurred between 8 and 10 September 2000, damaged 109 out of 409
municipalities of the region and killed 13 people in a campsite due to a
flood. The second event, which occurred between 30 October and
1 November 2015, damaged 79 municipalities, and killed a man due to a flood.
The comparative analysis highlights that, despite the exceptionality of
triggering daily rain was higher in the 2015 event, the damage caused by the
2000 event to both infrastructures and belongings was higher, and it was
strongly increased due to the 13 flood victims. We concluded that, in the
2015 event, the management of pre-event phases, with the issuing of
meteorological alert, and the emergency management, with the preventive
evacuation of people in hazardous situations due to landslides or floods,
contributed to reduce the number of victims.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Damaging Hydrogeological Events (DHE) occur due to a combination of
predisposing factors, triggering causes and the presence of vulnerable
elements (Petrucci and Polemio, 2009). A DHE is made of two components: a
Rainfall Event (RE) and a subsequent Damage Event (DE), resulting from
floods and landslides triggered by rain. Depending on both rivers and slopes
conditions, the same rain amount either can or cannot cause damage.
Moreover, damage occurrence depends on the geographical distribution of
vulnerable elements such as population, lifelines and urbanized sectors. DHE
can affect entire regions and may last for more than one day, and,
accordingly, they can show high variability, both in space and in time. For
this reason, it can be difficult to compare causes and effects of these
events in a systematic way.</p>
      <p>Over the last few years, in some countries, such as Italy, there has been an
increase in both the recurrence and the severity of DHE's damage. Indeed,
while during the past century the DHE were identified following the year of
occurrence (e.g., the event of 1966), nowadays, the events are often
identified by means of both the year and the month of occurrence, given that
a region is frequently affected by more than one event per year. In several
areas of the world, an increasing number of damaging events, related to
increasing frequency and intensity of extreme precipitation have been
highlighted (e.g. Alexander et al., 2006; Min et al., 2011; Westra et al.,
2013). Climate models also indicate that further increases in extreme
precipitation should be expected over the next decades (Pall et al., 2006;
O'Gorman and Schneiderb, 2009; Toreti et al., 2013), with moist regions which
are expected to be wetter, and dry regions drier (Chou and Neelin, 2004;
Wentz et al., 2007; Zhang et al., 2007; Allan and Soden, 2008). In this
framework, a great deal of research has been carried out on daily
precipitation, by means of various methods of analysis, such as indices,
percentiles, thresholds, and extreme value theory (Groisman et al., 2005;
Reiser and Kutiel, 2010; Toreti et al., 2010; Durão et al., 2010;
Caloiero et al., 2016). Several studies focused their attention on rain
variability, evidencing positive trends in daily rain intensity and a
tendency toward higher frequencies of heavy and extreme rainfall (Kunkel et
al., 1999; Plummer et al., 1999; Osborn et al., 2002; Villarini et al., 2011;
Caloiero, 2014, 2015).</p>
      <p>In addition to the changes in the climatic features, the literature also
focuses on the analysis of historical DHE's scenarios (Brázdil et al.,
2011; Bullón, 2011). Actually, this analysis can supply useful
information for the management of future events, providing an overview of
the critical sites during past events that, without preventive measures, can
be damaged again in future events. This information can be useful in
decision support, emergency management and implementation of prevention and
response measures. Moreover, they can play an important theoretical guiding
role in meteorological disaster prediction, and future disaster prevention
and reduction (Guan et al., 2015). In fact, an insight into past disasters
allows assessing the performances of multiple mitigation strategies (Day and
Fearnley, 2015) and, consequently, to help in the management of future
events in which the simultaneous occurrence of landslides and floods must be
taken into account. Especially for floods frequency estimation, the value of
historical data is generally recognised in different countries, but
practical methods for systematic and routinely inclusion of these data into
risk analysis are rarely available, even though harvesting data on past
extreme events could improve the reliability of flood risk assessments
(Kjeldsen et al., 2014). Additionally, the analysis of historical DHE that
affected a region offers didactic information to share with the population
in order to improve the consciousness of risks affecting the areas in which
they live, or can be used to calibrate loss estimation models
(Papathoma-Köhle et al., 2015).</p>
      <p>This study compares two events that affected the same area at a temporal
distance of 15 years, highlighting similarities and differences in triggering
rain, resulting damage and emergency management practices. In the Sect. 2, we
summarise the methodology pointed out in previous papers to classify DHE
according to severity of both triggering rain and resulting effects.
Section 3 introduces the study area, while Sects. 4 and 5 describe the two
compared DHE. Then, Sect. 6 presents the analytical comparison of the studied
events, and Sect. 7 draws some conclusive remarks.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methodology</title>
      <p>To perform the comparison of two DHE, we have to take in mind that each event
presents two components: the rain and the damage indirectly caused by rain,
by means of phenomena as landslides and floods. Unfortunately, in the study
area there are not hydrometric data that can be included in the analysis. For
this reason, in order to perform this comparison we applied the methodology
proposed in Aceto et al. (2016), based on the assessment of a <italic>damage score</italic> and a <italic>rainfall score</italic> combined to represent the exceptionality
of the events. To assess the damage score, we evaluate three damage
indicators (IDA, DI, and NoV). The Index of Damaged Area (IDA) is the sum of
the areas of the damaged municipalities divided by the area of the region. It
is the percentage of regional area that was damaged and represents a proxy of
the actual damaged area. Obviously, the antecedent condition, i.e. in terms
of terrain saturation, and the vulnerability and the resilience of the
territory of the region are crucial elements affecting the level of damage of
a DHE. In fact, the characteristics of Calabrian towns and villages in the
past were different. For example, one of the most damaging DHE occurred in
Calabria on 1953, and killed around 80 people. Several victims died in shacks
realized to shelter people affected by previous DHE, which occurred just two
years before, on 1951. Because of damage caused by the 1953 DHE, two villages
(Brancaleone Superiore and Caulonia hamlet) were definitively abandoned
(Petrucci and Pasqua, 2014). The Damage Index (DI) is a relative evaluation
of direct damage. According to the elements damaged in the Calabria region
throughout the historical series of regional DHEs, the damageable elements
are sorted into seven types (roads and railways, houses, public buildings,
services, productive activities, hydraulic works, and people) and their
values range from 0 to 1, on an arbitrary scale, while the levels of loss are
set as: 1 <inline-formula><mml:math id="M1" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> high; 0.75 <inline-formula><mml:math id="M2" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> medium high; 0.5 <inline-formula><mml:math id="M3" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> medium; and
0.25 <inline-formula><mml:math id="M4" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> low. The sum of the products of the damaged elements by the
respective levels of loss is the DI value, which is finally multiplied by a
scale factor of 10 to avoid decimal values. The Number of Victims (NoV) is
used as a further indicator of damage severity. Finally, the damage score
(<inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) is evaluated as in the Eq. (1), where
IDA<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mi>j</mml:mi></mml:msub></mml:math></inline-formula>, DI<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mi>j</mml:mi></mml:msub></mml:math></inline-formula>
and NoV<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mi>j</mml:mi></mml:msub></mml:math></inline-formula> are the damage indicators of the event <inline-formula><mml:math id="M9" display="inline"><mml:mi>j</mml:mi></mml:math></inline-formula>, and IDA<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mo>max⁡</mml:mo></mml:msub></mml:math></inline-formula>,
DI<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mo>max⁡</mml:mo></mml:msub></mml:math></inline-formula> and NoV<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mo>max⁡</mml:mo></mml:msub></mml:math></inline-formula> are the maximum value of each damage indicators
evaluated basing on the historical series of severest Calabrian DHEs:</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p><bold>(a)</bold> Digital Elevation Model of the study area and regional
provinces (Reggio Calabria, Vibo Valentia, Catanzaro, Crotone and Cosenza;
<bold>(b)</bold> Map of the main municipalities damaged during the 2000 and the 2015 DHE and cited in the text;
<bold>(c)</bold> Map of all the municipalities damaged during the 2000 (yellow) and the 2015 (red) DHE and during both the events (black).</p></caption>
        <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f01.png"/>

      </fig>

      <p><disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M13" display="block"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>score</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mtext>IDA</mml:mtext><mml:mi>j</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mtext>IDA</mml:mtext><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mtext>DI</mml:mtext><mml:mi>j</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mtext>DI</mml:mtext><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mtext>NoV</mml:mtext><mml:mi>j</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mtext>NoV</mml:mtext><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo mathsize="1.1em">/</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></disp-formula>
        For any further and detailed information about the evaluation of the damage
indicators, the interested reader can easily refer to Aceto et al. (2016).</p>
      <p>The Rainfall Score (<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>score</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> (Caloiero et al., 2014; revised by
Aceto et al., 2016) is based on the return period (<inline-formula><mml:math id="M15" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) of the maximum daily
rain recorded in each gauge during the days in which the damage event
occurred. For each event, given a series of return period classes (selected
according to the ones used in the Calabrian Hydro-geological Plan), the
<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is calculated by evaluating the percentage of gauges falling
within these classes, as in the Eq. (2):
          <disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M17" display="block"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>score</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>c</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:munderover><mml:mi>i</mml:mi><mml:mo>⋅</mml:mo><mml:mi>P</mml:mi><mml:msub><mml:mfenced open="(" close=")"><mml:mi>T</mml:mi></mml:mfenced><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:munderover><mml:mi>P</mml:mi><mml:msub><mml:mfenced open="(" close=")"><mml:mi>T</mml:mi></mml:mfenced><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></disp-formula>
        where <inline-formula><mml:math id="M18" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> is the number classes, <inline-formula><mml:math id="M19" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula> is a return period class, <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is
the percentage of gauges falling within each <inline-formula><mml:math id="M21" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula> class, and <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi>c</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is a
graphic scale factor.</p>
      <p>Basing on the combinations of <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, DHE can be
classified as:
<list list-type="custom"><list-item><label>A.</label>
      <p><italic>Ordinary events</italic>, characterized by low damage and rain values;</p></list-item><list-item><label>B.</label>
      <p><italic>Extraordinary events</italic>, characterized by very high rainfall
severity and moderately low damage levels;</p></list-item><list-item><label>C.</label>
      <p><italic>Catastrophic events</italic>, showing severe damage caused by not
extraordinary rainfall;</p></list-item><list-item><label>D.</label>
      <p><italic>Major catastrophic events</italic>, showing high damage triggered by
exceptional rain.</p></list-item></list></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Meteorological framework of the western Mediterranean area during
the 2000 and 2015 DHE.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f02.png"/>

      </fig>

</sec>
<sec id="Ch1.S3">
  <title>Study area</title>
      <p>Located at the toe of the Italian peninsula, Calabria has a surface of
15 080 km<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>; on average, its altitude is 597 m a.s.l., and its
tallest relief is 2266 m a.s.l. The reliefs over 500 m a.s.l. high occupy
42 % of the regional area, while hills between 50 and 500 m a.s.l.
cover 49 % of the territory, and only 9 % of the region is under
50 m a.s.l. (Fig. 1a). The rugged morphology is due to the still active
tectonic uplift that has been started in Quaternary. The geological structure
is made of allochthonous crystalline rocks (Palaeozoic to Jurassic), stacked
during the middle Miocene (Tortorici, 1982) over carbonate units (Ogniben,
1973), with Neogene flysch filling the tectonic depressions. Tectonic
stresses and climatic conditions worsened the rocks characteristics, and
disposed slopes to mass movements. Still due to the rapid uplift, the fluvial
system is mainly made of ephemeral streams that cannot be gauged. Actually
they are dry during summer and undergo severe flash floods in autumn-winter:
during floods, active channels move from side to side of the riverbed, making
difficult to find the right place to install the gauges. The climate is
Mediterranean, presenting sharp contrasts due to the position of the region
within the Mediterranean Sea and its orography (Coscarelli and Caloiero,
2012). Specifically, warm air currents coming from Africa and high
temperatures affect the east side, leading to short and heavy rainfall, while
on the west side, western air currents cause milder temperatures and higher
precipitation. Cold and snowy winters and fresh summers with some
precipitation are typical of the inner sectors (Caloiero et al., 2015).
Numerical simulations of severe weather showed the crucial role played by
orography, which enhances rainfall in localized spots (Federico et al.,
2003a, b) or forces secondary cyclogenesis which persists over the east side
(Federico et al., 2007). The frequent DHE have been causing damage and
victims throughout the years (Petrucci and Pasqua, 2012), as highlighted by
both historical research (Petrucci and Versace, 2005, 2007; Palmieri et al.,
2011; Gullà et al., 2012; Pasqua and Petrucci, 2016), and reports about
more recent events (Petrucci et al., 2010; Caloiero and Petrucci, 2014).</p>
</sec>
<sec id="Ch1.S4">
  <title>The event of September 2000</title>
      <p>The event occurred on September 2000 is known as Soverato event, after the
name of the municipality in which 13 people were killed by the flood of
Beltrame River. The event lasted three days, during which 27.0 % of
regional territory (109 municipalities, 3922.7 km<inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was affected
(Fig. 1c). The synoptic pattern of the event concerns: (a) an area of high
pressure over central Europe, and (b) a low pressure over Sicily Island,
originated from the merge of cold/dry air coming from North Atlantic and
warm/moist air laying over the Mediterranean, particularly over the Strait of
Messina and Calabrian east coasts. The mixing of these two air masses, having
different temperature and humidity, originated severe precipitation that were
amplified by the orographic effect. The result was a series of thunderstorms
over the east coast, from north to south (Fig. 2). Fifty-six rain gauges
(35.6 % of the gauges working during the event), managed by the regional
Multi-Risk Functional Centre, recorded daily rain higher than 100 mm and,
among these, 12 gauges recorded values higher than 200 mm. The maximum value
of daily rain recorded was 301.6 mm, and it was recorded on the southeast
sector of the region (Fig. 3). It was equal to about five times the September
average monthly value of the region, and represents 27.1 % of the mean
total annual rainfall. As to what concerns the return period of maximum daily
rainfall, 13 rain gauges showed return periods of <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> years, 4 of
<inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> years, 2 of <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> years, 4 of <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> years and one gauge
higher than 200 years (Fig. 3).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Maximum return period (<inline-formula><mml:math id="M31" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) of daily rainfall recorded during each
event at the gauges (circles coloured according to the legend) and maximum
values of daily rain (shades of blue, according to the legend).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f03.png"/>

      </fig>

      <p>The central government, with different ordinances, allocated 491 million of
euros to repair damage to public and private sectors (communication of
<italic>Calabrian Civil Protection Unit</italic>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Spatial and temporal distribution of the daily rainfall for the
September 2000 event.</p></caption>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f04.png"/>

      </fig>

<sec id="Ch1.S4.SS1">
  <title>The 8 September 2000 scenario</title>
      <p>On 8 September, rainfall affected the eastern sector of the region, moving
from south to north (Fig. 4). In 17 rain gauges, daily rainfall higher than
100 mm were detected, with a maximum of 208.7 mm, having a return period
16.2 years. Damage affected the northern part of the region, mainly the
<italic>Cosenza</italic> province: urban floods damaged the roads and the cultivated
areas. In the Castrovillari municipality (Fig. 1b), a daily rain of 86.2 mm,
with a 3 h cloudburst of 42.0 mm, blocked the drainage system, causing
urban flooding; fire brigades received about 30 calls for help, due to
flooding of both houses and shops. Further damage occurred in the Cassano
allo Jonio municipality (Fig. 1b), where a division of the hospital was
flooded.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>The 9 September 2000 scenario</title>
      <p>On 9 September, the area affected by rainfall was wider (Fig. 4). The rain
fell on the entire eastern side of the region, with daily values greater than
100 mm in 37 gauges, and greater than 200 mm in 5 gauges. The return period
of daily rainfall was assessed between 100 and 200 years for 4 rain gauges.
In the north sector, at 04:30 a.m. CET, near
Crosia (<italic>Cosenza</italic> province), the Fiumarella Torrent flooded a house
where four people were sleeping (Fig. 1b). A police officer rescued them,
while the neighbours helped the other two people breaking the door and escape
outside their flooded house. Moreover, in the same municipality (Fig. 1b), a
river flooded the railway station with 3 m of water and debris. The State
Road 106, the only north-south road of the east sector of the region, running
along the coast and parallel to railway, was affected in several points. Near
Mandatoriccio (Fig. 1b), a torrent flooded this road and dragged a car in
transit, pushing it toward a guardrail and then to the sea. The couple inside
was able to exit from car, and two police officers rescued them. In the
<italic>Cosenza</italic> province: near Calopezzati (Fig. 1b), a river stripped more
than 200 m of rail and the train traffic was interrupted. In the Rossano
municipality (Fig. 1b), several families living in rural areas were isolated
due to landslides or floods blocking the access roads. Three torrents flooded
houses and road in the Trebisacce town (Fig. 1b), while the storm surge
damaged the seafront. Near Corigliano Calabro (Fig. 1b), two person
overwhelmed by a river breaking the levees were rescued by the police. To the
east, in the <italic>Crotone</italic> province, more than 100 emergency calls due to
floods and landslides were recorded. After an intense 30 min rain
(23.2 mm), the road network near Cirò Marina (Fig. 1b) was invaded by
mud eroded from adjacent slopes, blocking several motorists in transit.
Moreover, the rain saturated the drainage system of the urban centre: the
water, 50 cm high, flooded some houses and the post office, and fire
brigades rescued people blocked inside it. In the southeast sector, some
damage affected the <italic>Catanzaro</italic> province, with urban floods in Borgia
(Fig. 1b), a touristic village flooded in Stalettì (Fig. 1b), and mud
blocked traffic along the road network in Borgia and S. Floro municipalities
(Fig. 1b). To the south, in the <italic>Reggio Calabria</italic> province, fire
brigades and military corps received more than 500 emergency calls. The
rivers outflowed and interrupted both the State Road 106 and the railway in
several points. In innermost villages of the east side, even landslides
damaged roads and houses. Severe damage occurred in Roccella Jonica
(Fig. 1b), where the rivers dragged more than 100 cars along the city roads,
and about 10 of them for about 500 m up to the sea. About 100 shops were
flooded. Rivers outflowed interrupted the railway traffic and flooded about
100 houses, thus 300 families were temporary evacuated. A severe storm surge
damaged six beach resorts, disrupted tens of small ships, and the sea
advanced for about 50 m toward the hinterland. A landslide, originating from
a slope 100 m high, falls on a group of houses disrupting two of them: the
owners were just escaped outside. Telephonic and electric lines were
interrupted.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>The 10 September 2000 scenario</title>
      <p>On 10 September, intense rainfall mainly focused on the middle-south east
sector (Fig. 4). In 30 rain gauges, daily rainfall was higher than 100 mm,
and in 6 gauges was higher than 200 mm. The maximum daily rainfall was
301.6 mm, with a return period greater than 500 years. In the Soverato
municipality (<italic>Catanzaro province</italic>), in the area where the maximum
daily rain was recorded, the severest effects on people occurred (Fig. 1b).
At 04:00 a.m., the disastrous flood of the Beltrame River swept away the
campsite named <italic>Le Giare</italic> and located just on the riverside, where 53
people were sleeping, including 17 handicapped persons. The survivors rescued
themselves by climbing on the roofs of the bungalows or on willow trees. They
described the great sense of confusion related to the darkness and the noise
of the flood inundating the area. As a result, 13 people died, five of whom
were handicapped persons. The day after, the campsite appeared as submerged
by more than one meter of mud that strongly complicated the work of more than
300 people involved in the rescue operations. In the same province, the
Guardavalle municipality (Fig. 1b) remained isolated due to floods and
landslides that interrupted the access roads. Moreover, some families were
evacuated due to landslides, the kindergarten was submerged by 5 m of
debris, the elementary school was inundated, and cultivated fields disrupted.
Almost the entire <italic>Reggio Calabria</italic> province was affected by daily
rain higher than 200 mm: landslides blocked roads connecting the innermost
municipalities to the coast, several torrents isolated rural settlements, and
both the electric and telephonic lines were interrupted.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>The event of 2015</title>
      <p>The second analysed event occurred between 30 October and 1 November 2015,
and affected 79 municipalities of Calabria (19.3 %), with an area of
2578.9 km<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (17.0 % of regional area) (Fig. 1c). While an area of
high pressure with values up to 1040 hPa was located over central Europe, a
low pressure moved from central Tyrrhenian Sea towards the Strait of Sicily,
causing a marked instability over southern Italy. Particularly on the east
coast, low-level eastern flow enhanced intensity and frequency of storms
(Fig. 2). 39 rain gauges recorded daily rain higher than 100 mm, but 21
reached rain values higher than 200 mm, and 4 higher than 300 mm, with a
maximum value of 370.4 mm (Fig. 3). These values, registered on the
southeast sector of the region, were exceptional for the period, with maximum
daily values more than three times than the average monthly value. Moreover,
in 3 rain gauges, in just one day, more than 33 % of the mean annual
rainfall was recorded. In 8 rain gauges, daily rain showed return periods of
<inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> years, in 7 of <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> years, in 7 of <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> years, in 4 of
<inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> years, and in one rain gauge showed a value higher than 200 years
(Fig. 3).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Spatial and temporal distribution of the daily rainfall for the
2015 event.</p></caption>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f05.png"/>

      </fig>

      <p>The central government, with different ordinances, allocated about
130 million of euros to repair damage to private and public sectors
(communication of <italic>Calabrian Civil Protection Unit</italic>).</p>
<sec id="Ch1.S5.SS1">
  <title>The 30 October 2015 scenario</title>
      <p>On 30 October, the <italic>Calabrian Civil Protection Unit</italic> issued an alert
for possible intense rain and dangerous effects to 285 municipalities
(70 % of the 409 municipalities of the region). 162 municipalities
(40 %) received the alert for possible <italic>high severity</italic> damage, 54
(13 %) for <italic>medium severity</italic> and 69 (17 %) for possible
<italic>low severity</italic> damage (AA.VV., 2015). As a result, several majors
commanded the closure of all the schools for 30 and 31 October, thus reducing
the number of people exposed to risk along the road network, or outdoors. In
this day, the very north eastern side of the region was affected by severe
rain, with daily values greater than 50 mm in 4 rain gauges, greater than
100 mm in one gauge, and greater than 200 in another one gauge, reaching a
return period of about 200 year (Fig. 5). Fortunately, only few damage
occurred in this area, and in particular in the municipality of Trebisacce
(Fig. 1b), where the urban drainage system was blocked and the roads were
partially flooded.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>The 31 October 2015 scenario</title>
      <p>On 31 October, the rain concentrated on the southern part of the region,
mainly affecting the eastern sector (Fig. 5). In 27 rain gauges, daily
rainfall was greater than 100 mm; in 8 gauges it was higher than 200 mm,
while the maximum daily rain was 364.6 mm. Despite the high rainfall values,
only in one gauge a return period of <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> years was detected. As a
result, 32 municipalities were affected (about 40 % of the municipalities
damaged by the whole event). Along the east coast, in the <italic>Cosenza</italic>,
<italic>Catanzaro</italic> and <italic>Reggio Calabria</italic> provinces, the effects were
the flooding of urban sectors in which intense rain and/or debris carried by
rain erosion obstructed drainage systems. As a total, 71 people were
evacuated due to landslides or floods. In the municipality of Taurianova
(<italic>Reggio Calabria</italic>), the severest effect on people occurred: a man,
who was fording a river on a small bridge, died trapped in his car, dragged
by the flood of a stream (Fig. 1b). Before drown, he broken the windscreen of
the car, allowing to his daughter to exit from the car and save her life,
helped by some residents. Along the coast, near Brancaleone (Fig. 1b), the
simultaneous action of the flood of the river Bruzzano and the intense storm
surge broken the railway and the State Road 106. Four people in two cars
passed on the State Road just before the road collapse. Two militaries, on a
warm-up lap, helped the people to exit from cars and save their lives, while,
in a few minutes, the road broken definitely and the two cars were swept away
by the sea. In Casignana (Fig. 1b), a landslide broke the basin of the
garbage dump, thus causing the spilling of percolate in the surrounding area
and into the sea. In the area of Locri, Ardore, Bovalino, Casignana and
Bianco municipalities (Fig. 1b), where the rain reached daily values higher
than 300 mm, several torrents outflowed, flooding houses, shops and
cultivated fields, and some rural settlements were isolated due to landslides
blocking their access roads. In <italic>Reggio Calabria</italic> province, the
strongest affected province, fire brigades, received about 200 calls from
people trapped in either houses or cars by water and mud spilled along the
road network. Strong wind (70–80 km h<inline-formula><mml:math id="M38" 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>) damaged electric lines and
caused storm surges that damaged the seafront in several touristic villages.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Summary of the rain characteristics of the 2000 and 2015 DHE.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right" colsep="1"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">RAIN EVENT</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">2000 DHE </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">2015 DHE </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Event beginning</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">8 Sep </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">30 Oct </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Event end</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">10 Sep </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">1 Nov </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Duration of the event (days)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">3 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">3 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Total rain (mm no. of gauges<inline-formula><mml:math id="M40" 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> km<inline-formula><mml:math id="M41" 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>)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">0.01124 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">0.01144 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">no. gauges working during the event</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">157 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">102 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Gauges with daily rain (mm)</oasis:entry>  
         <oasis:entry colname="col2">Number</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>  
         <oasis:entry colname="col4">Number</oasis:entry>  
         <oasis:entry colname="col5">%</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">50–100 (mm)</oasis:entry>  
         <oasis:entry colname="col2">54</oasis:entry>  
         <oasis:entry colname="col3">34.4</oasis:entry>  
         <oasis:entry colname="col4">36</oasis:entry>  
         <oasis:entry colname="col5">35.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">100–200 (mm)</oasis:entry>  
         <oasis:entry colname="col2">44</oasis:entry>  
         <oasis:entry colname="col3">28.0</oasis:entry>  
         <oasis:entry colname="col4">18</oasis:entry>  
         <oasis:entry colname="col5">17.6</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M42" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 200 (mm)</oasis:entry>  
         <oasis:entry colname="col2">12</oasis:entry>  
         <oasis:entry colname="col3">7.6</oasis:entry>  
         <oasis:entry colname="col4">21</oasis:entry>  
         <oasis:entry colname="col5">20.6</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Area affected by daily rain (mm)</oasis:entry>  
         <oasis:entry colname="col2">Area (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>)</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>  
         <oasis:entry colname="col4">Area (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>)</oasis:entry>  
         <oasis:entry colname="col5">%</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">50–100 (mm)</oasis:entry>  
         <oasis:entry colname="col2">5182.3</oasis:entry>  
         <oasis:entry colname="col3">34.4</oasis:entry>  
         <oasis:entry colname="col4">6607.1</oasis:entry>  
         <oasis:entry colname="col5">43.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">100–200 (mm)</oasis:entry>  
         <oasis:entry colname="col2">4275.2</oasis:entry>  
         <oasis:entry colname="col3">28.4</oasis:entry>  
         <oasis:entry colname="col4">2480.0</oasis:entry>  
         <oasis:entry colname="col5">16.4</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M45" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 200 (mm)</oasis:entry>  
         <oasis:entry colname="col2">963.8</oasis:entry>  
         <oasis:entry colname="col3">6.4</oasis:entry>  
         <oasis:entry colname="col4">2044.1</oasis:entry>  
         <oasis:entry colname="col5">13.6</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Gauges with return period of daily rain (years)</oasis:entry>  
         <oasis:entry colname="col2">Number</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>  
         <oasis:entry colname="col4">Number</oasis:entry>  
         <oasis:entry colname="col5">%</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> (years)</oasis:entry>  
         <oasis:entry colname="col2">13</oasis:entry>  
         <oasis:entry colname="col3">8.3</oasis:entry>  
         <oasis:entry colname="col4">8</oasis:entry>  
         <oasis:entry colname="col5">7.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> (years)</oasis:entry>  
         <oasis:entry colname="col2">4</oasis:entry>  
         <oasis:entry colname="col3">2.5</oasis:entry>  
         <oasis:entry colname="col4">7</oasis:entry>  
         <oasis:entry colname="col5">6.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> (years)</oasis:entry>  
         <oasis:entry colname="col2">2</oasis:entry>  
         <oasis:entry colname="col3">1.3</oasis:entry>  
         <oasis:entry colname="col4">7</oasis:entry>  
         <oasis:entry colname="col5">6.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> (years)</oasis:entry>  
         <oasis:entry colname="col2">4</oasis:entry>  
         <oasis:entry colname="col3">2.5</oasis:entry>  
         <oasis:entry colname="col4">4</oasis:entry>  
         <oasis:entry colname="col5">3.9</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M50" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 200 (years)</oasis:entry>  
         <oasis:entry colname="col2">1</oasis:entry>  
         <oasis:entry colname="col3">0.6</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>  
         <oasis:entry colname="col5">1.0</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Maxima values of rain</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">Value </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">Value </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">1 day (mm)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">301.6 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">370.4 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">2 days (mm)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">505.2 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">687.2 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">1 h (mm)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">74.6 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">57.4 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">3 h (mm)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">154.2 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">107.8 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">6 h (mm)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">206.4 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">150.4 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Max daily rain/monthly average</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">4.71 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">3.01 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Max two-day rain/monthly average (mm)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">7.89 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">5.59 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Max daily rain as % of mean annual rain</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">27.1 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">33.2 </oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>The percentage of gauges with daily rain higher than some thresholds and
with return period of daily rain falling within prefixed classes is
evaluated with reference to the rain gauges working in 2000 (157) and 2015
(102). The percentage of area affected by daily rain higher than some
thresholds is evaluated following the areas of Fig. 1 and considering the
area of the region (15 080 km<inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S5.SS3">
  <title>The 1 November 2015 scenario</title>
      <p>The 1 November the rain still insisted on the south sector, moving on the
western side of the region (Fig. 5). In 13 rain gauges, daily rainfall was
higher than 100 mm and, in 16 gauges, higher than 200 mm: the maximum value
was 370.4 mm, with a return period of almost 1000 years. In 12 gauges, the
total amount of rain that fell between 31 October and 1 November was greater
than 400 mm, with a maximum value of 687.2 mm, corresponding to a return
period higher than 1000 years. Landslides, floods and storm surges damaged 21
municipalities. This phase was characterised by the precautionary evacuation
of people in dangerous situations. In Cittanova (Fig. 1b), 20 persons were
evacuated before the outflowing of Vacale River, potentially affecting their
houses; in Cosoleto (Fig. 1b), two houses were evacuated just before a debris
flow affected them, and the west side railway was precautionary closed, due
to the threat of a torrent flood. Further people evacuated in the villages of
Grotteria (38), due to a landslide, Bova (1), Bovalino (14), Caraffa del
Bianco (1), Casignana (1), Caulonia (15), and Palizzi (1) (AA.VV., 2015).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Events comparison by means of the ratio between the 2015 and the
2000 values reported in the titles of diagrams.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f06.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S6">
  <title>Comparison between the 2000 and 2015 events</title>
      <p>Both the DHE were characterized by a 3-day duration, but they occurred in two
months characterised by different climatic features, in fact, in Calabria the
September average daily rain in is 64.1 mm, while in October it rises to
123.3 mm. The total rain, expressed as mm no. of
gauges<inline-formula><mml:math id="M51" 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> 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>, was higher for the 2015 than for the 2000 event
(Table 1). To facilitate the comparison, in Fig. 6 we presented the
descriptive features of the two events as ratio between the 2015 and 2000
values. The red line marking the value “1” represents the case in which the
value of 2015 was equal to the one of 2000. A value above or under this line,
indicates that the analysed feature was higher in 2015 or in 2000,
respectively. The diagrams of Fig. 6a, b, c, represent the features
describing the rain event. Results show that the area affected by daily rain
between 50 and 100 mm was higher in 2015, and the area with more than
200 mm was considerably larger for 2015 than for 2000, showing the greater
severity of the 2015 event in terms of stronger daily intensity on a larger
area (Fig. 6a). From the analysis of the maxima (Fig. 6b), both 1-day and
2-day values were greater in 2015, while 1, 3, and 6 h were considerably
higher in 2000 than in 2015. Thus, the 2000 event was characterised by
stronger rain intensity, which caused flash floods in some small basins of
the region such as the Beltrame River, while the 2015 event by a greater rain
duration, as confirmed by the 2-day rain, equals to 505.2 and 687.2 mm
respectively. The latter value is particularly relevant, being more than five
times the average October monthly rain, and about 60 % of the mean annual
rainfall. As far as the exceptionality of return period of daily rain, the
compared events were equals in terms of number of gauges recording return
periods of <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> years and greater than 200 years. Nevertheless, 2015
event showed the number of gauges with return periods of <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> years and
<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> years considerably greater than 2000 event (Figs. 3; 6c).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Summary of the damage characteristics of the 2000 and 2015
DHE.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right" colsep="1"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">DAMAGE EVENT</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">2000 DHE </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">2015 DHE </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Governmental fund to repair damage (EUR M)</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">491 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">130<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">N. of victims</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">13 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">1 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Damaged municipalities</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">109 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">79 </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Area affected (km<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">3922.7 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">2578.9 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">IDA</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">27.0 </oasis:entry>  
         <oasis:entry namest="col4" nameend="col5" align="center">17.0 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Municipalities affected by damage to:</oasis:entry>  
         <oasis:entry colname="col2">Number</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>  
         <oasis:entry colname="col4">Number</oasis:entry>  
         <oasis:entry colname="col5">%</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Buildings</oasis:entry>  
         <oasis:entry colname="col2">69</oasis:entry>  
         <oasis:entry colname="col3">63.3</oasis:entry>  
         <oasis:entry colname="col4">36</oasis:entry>  
         <oasis:entry colname="col5">45.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Roads and railways</oasis:entry>  
         <oasis:entry colname="col2">109</oasis:entry>  
         <oasis:entry colname="col3">100.0</oasis:entry>  
         <oasis:entry colname="col4">78</oasis:entry>  
         <oasis:entry colname="col5">98.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Services and hydraulic works</oasis:entry>  
         <oasis:entry colname="col2">24</oasis:entry>  
         <oasis:entry colname="col3">22.0</oasis:entry>  
         <oasis:entry colname="col4">18</oasis:entry>  
         <oasis:entry colname="col5">22.8</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Productive activities</oasis:entry>  
         <oasis:entry colname="col2">106</oasis:entry>  
         <oasis:entry colname="col3">97.2</oasis:entry>  
         <oasis:entry colname="col4">25</oasis:entry>  
         <oasis:entry colname="col5">31.6</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Records of damage caused by:</oasis:entry>  
         <oasis:entry colname="col2">Number</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>  
         <oasis:entry colname="col4">Number</oasis:entry>  
         <oasis:entry colname="col5">%</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Floods</oasis:entry>  
         <oasis:entry colname="col2">41</oasis:entry>  
         <oasis:entry colname="col3">19.6</oasis:entry>  
         <oasis:entry colname="col4">37</oasis:entry>  
         <oasis:entry colname="col5">26.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Landslides</oasis:entry>  
         <oasis:entry colname="col2">75</oasis:entry>  
         <oasis:entry colname="col3">35.9</oasis:entry>  
         <oasis:entry colname="col4">49</oasis:entry>  
         <oasis:entry colname="col5">35.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Urban flooding</oasis:entry>  
         <oasis:entry colname="col2">77</oasis:entry>  
         <oasis:entry colname="col3">36.8</oasis:entry>  
         <oasis:entry colname="col4">41</oasis:entry>  
         <oasis:entry colname="col5">29.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Storm surges</oasis:entry>  
         <oasis:entry colname="col2">16</oasis:entry>  
         <oasis:entry colname="col3">7.7</oasis:entry>  
         <oasis:entry colname="col4">13</oasis:entry>  
         <oasis:entry colname="col5">9.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Municipalities with DI classified as:</oasis:entry>  
         <oasis:entry colname="col2">Number</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>  
         <oasis:entry colname="col4">Number</oasis:entry>  
         <oasis:entry colname="col5">%</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Level 1 (low)</oasis:entry>  
         <oasis:entry colname="col2">80</oasis:entry>  
         <oasis:entry colname="col3">74.1</oasis:entry>  
         <oasis:entry colname="col4">63</oasis:entry>  
         <oasis:entry colname="col5">79.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Level 2</oasis:entry>  
         <oasis:entry colname="col2">18</oasis:entry>  
         <oasis:entry colname="col3">16.6</oasis:entry>  
         <oasis:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">12.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Level 3</oasis:entry>  
         <oasis:entry colname="col2">3</oasis:entry>  
         <oasis:entry colname="col3">2.8</oasis:entry>  
         <oasis:entry colname="col4">3</oasis:entry>  
         <oasis:entry colname="col5">3.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Level 4</oasis:entry>  
         <oasis:entry colname="col2">5</oasis:entry>  
         <oasis:entry colname="col3">4.6</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">0.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Level 5 (high)</oasis:entry>  
         <oasis:entry colname="col2">2</oasis:entry>  
         <oasis:entry colname="col3">1.9</oasis:entry>  
         <oasis:entry colname="col4">3</oasis:entry>  
         <oasis:entry colname="col5">3.8</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>The percentage of damaged municipality is assessed with reference to the
total number of municipalities affected by the DHE in 2000 (109) and 2015
(79). The percentage of records of damage is calculated with reference to
the total number of records of the two events, 209 and 140 in 2000 and 2015
respectively. Finally, the percentage of municipalities falling within the
different DI classes is evaluated considering the total number of
municipalities affected by the DHE. <inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> EUR 130 M funded until December
2016.</p></table-wrap-foot></table-wrap>

      <p>From a geographical point of view, both the event focused on the east
regional sector, as the majority of damaging event affecting the region,
generally caused by a barometric minimum moving from the Tyrrhenian Sea, to
the South of Italy (Petrucci and Polemio, 2009). Nevertheless, the 2000 event
affected almost the entire region in a spotty way, while the 2015 event
mainly hit the southeast sector (Fig. 7). As regards the damage, the 2000
event affected an area larger than 2015 event, and accordingly, a greater
number of phenomena caused damage (Fig. 6d) to the different types of
vulnerable elements (Fig. 6e), even if services and roads and railways were
the most affected types. This is confirmed by the amount of funds allocated
to repair damage, larger in 2000 than in 2015 event.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Classification of municipalities of Calabria according to the
classes of Damage index (DI) listed in the legend. 1: low damage; 2:
low-medium damage; 3: medium damage; 4: high damage; 5: very high damage.<?xmltex \hack{\vspace*{5mm}}?></p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f07.png"/>

      </fig>

      <p>The damage in 2000 event (Table 2) was strongly increased by the high number
of victims (13) with respect to 2015 (1), even if all the victims of 2000
occurred in a single accident that could be avoided if the campsite was
located far from the river and/or the event was forecasted in advance
allowing people evacuation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Chart classifying the analysed events according to their
magnitude. <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> are described in Sect. 3.</p></caption>
        <?xmltex \igopts{width=207.705118pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/44/101/2017/adgeo-44-101-2017-f08.png"/>

      </fig>

      <p>According to the data gathered and indexes assessed to characterize both RE
and DE, using expressions (1) and (2), the 2000 event was classified as
<italic>catastrophic</italic> while 2015 as <italic>major catastrophic</italic> event
(Fig. 8). This result is mainly due to the value of the <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>,
which is higher in 2015 than in 2000, while an opposite behaviour has been
obtained for the <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>score</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. In practice, at daily scale, the rainfall
event was more severe in 2015 than in the 2000, even if damage caused by the
2000 event was higher than in 2015 case. One factor that can explain this
difference is the management of the events, especially in terms of alert and
evacuation measures. Actually, in 2000, Civil Protection in Italy had an
organisation different from nowadays, both at national and regional level:
there were any alert system for meteorological events, and thus no alert for
possible damaging rain was issued to the central-southern sector of the
region before the event. The 2000 event represented a break: after the
Soverato event, the Italian government recognised the urgent need of a more
strength and effective organisation of Civil Protection regional units, based
on the support of real-time meteorological data and effective rainfall
forecasting systems. In fact, after this event, the Civil Protection
Ordinance no. 3081 was issued and it established the Multi-Risk Functional
Centre (Regional Agency for Environment Protection), a regional office in
charge to systematically collect and elaborate data measured by hundreds of
automatic weather meteorological stations of the regional gauges network. In
2015, the Multi-Risk Functional Centre, after the information transmitted by
the National Office of Civil Protection and the outcomes of their
meteorological data elaborations, transmitted official bulletins to Civil
Protection, forecasting the intense rain approaching. Basing on this
information, the Civil Protection Unit alerted majors of the municipalities
where rain was forecasted, allowing them to be prepared to the emergency
management and thus avoiding greater damage.</p>
      <p>The Civil Protection rainfall forecasting systems is then paramount in a
region such as Calabria, which is characterized by small basins and
influenced by orographic precipitation that can cause flash floods. In fact,
currently, predictions of flash floods rely predominantly on the weather
forecast, although the time and the place where heavy rain may occur are
still difficult to predict. Indeed, meteorological forecast gives the
overall information that a given region can be affected by heavy rainfall
causing flash floods in small basins. In order to overcome such a problem,
after 2001, in Calabria, when a meteorological alert is issued, each of the
majors of the municipalities involved by the alert starts a monitoring of
the flash flood prone basins and the critical points belonging to their
municipality, such as bridges and underpasses, in order to avoid
causalities.</p>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <title>Conclusions</title>
      <p>This work presents a comparative analysis of two events, both affecting
Calabria region (southern Italy) at a distance of 15 years, on 2000 and 2015.
In particular, a methodological approach is proposed, by organising a
systematic comparative analysis of all the qualitative and quantitative
features that are used to describe the analysed events, even using severity
indexes introduced in previous works. The same approach can be used to
describe and compare similar events occurred in different countries and
epochs.</p>
      <p>The analysis highlight the following points:</p>
      <p>The 2000 event was classified as <italic>catastrophic</italic>, according to the
classification proposed by Aceto et al. (2016), mainly due to the
exceptionality of the damage.
<list list-type="order"><list-item>
      <p>It presented the highest rain intensities in 1, 3  and 6 h,
concurring to trigger flash floods, storm surges and landslides.</p></list-item><list-item>
      <p>It caused a disastrous flash flood in Soverato, on the middle east coast,
that killed 13 persons in a campsite nearby the river Beltrame.</p></list-item></list></p>
      <p>The 2015 event was classified as <italic>major catastrophic</italic>, according to
the classification proposed by Aceto et al. (2016), mainly due to the
exceptionality of the daily rain.
<list list-type="order"><list-item>
      <p>It presented the highest total amount of rain and the highest values of
daily intensity on a larger area: the two days rain reached five times the
regional October monthly average, mainly triggering floods and storm surges</p></list-item><list-item>
      <p>In this event, an effective management of pre-event phases, with the issuing
of meteorological alert, and the emergency management, with the preventive
evacuation of people in hazardous situations due to landslides or floods,
contributed to reduce the number of victims.</p></list-item></list></p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p>Damage data are freely available from the PEOPLE database: <ext-link xlink:href="https://doi.org/10.17632/mz2b8f8ys7.1" ext-link-type="DOI">10.17632/mz2b8f8ys7.1</ext-link> (Petrucci et al., 2017).</p>

      <p>Rainfall data are freely available from the Multi-Risk Functional Centre of the Regional Agency for Environment Protection online database:
<uri>http://www.cfd.calabria.it/index.php/dati-stazioni/dati-storici</uri>.</p>
  </notes><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><notes notes-type="sistatement">

      <p>This article is part of the special issue “Hydro-related
hazardous events and their consequences in the Mediterranean area: knowledge
management adaptation”. It is a result of the 15th Plinius Conference on
Mediterranean Risks, Giardini Naxos, Italy, 8–11 June 2016.</p>
  </notes><ack><title>Acknowledgements</title><p>We are grateful to the Editor and the Referees for the useful suggestions that improved the paper.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Giuseppe Tito Aronica<?xmltex \hack{\newline}?> Reviewed by:
Giovanni Ravazzani and one anonymous referee</p></ack><ref-list>
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    <!--<article-title-html>Civil protection and Damaging Hydrogeological Events: comparative analysis of the 2000 and 2015 events in Calabria (southern Italy)</article-title-html>
<abstract-html><p class="p">Calabria (southern Italy) is a flood prone region, due to both its rough
orography and fast hydrologic response of most watersheds. During the rainy
season, intense rain affects the region, triggering floods and mass movements
that cause economic damage and fatalities. This work presents a
methodological approach to perform the comparative analysis of two events
affecting the same area at a distance of 15 years, by collecting all the
qualitative and quantitative features useful to describe both rain and
damage. The aim is to understand if similar meteorological events affecting
the same area can have different outcomes in terms of damage. The first event
occurred between 8 and 10 September 2000, damaged 109 out of 409
municipalities of the region and killed 13 people in a campsite due to a
flood. The second event, which occurred between 30 October and
1 November 2015, damaged 79 municipalities, and killed a man due to a flood.
The comparative analysis highlights that, despite the exceptionality of
triggering daily rain was higher in the 2015 event, the damage caused by the
2000 event to both infrastructures and belongings was higher, and it was
strongly increased due to the 13 flood victims. We concluded that, in the
2015 event, the management of pre-event phases, with the issuing of
meteorological alert, and the emergency management, with the preventive
evacuation of people in hazardous situations due to landslides or floods,
contributed to reduce the number of victims.</p></abstract-html>
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