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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ADGEO</journal-id><journal-title-group>
    <journal-title>Advances in Geosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7359</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/adgeo-52-87-2020</article-id><title-group><article-title>A geogenic approach for the Radon monitoring and the exposure assessment at
a regional scale:  The results of <?xmltex \hack{\break}?> the Rad_Campania project</article-title><alt-title>The results of the Rad_Campania project</alt-title>
      </title-group><?xmltex \runningtitle{The results of the Rad\_Campania project}?><?xmltex \runningauthor{S.~Mancini et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Mancini</surname><given-names>Simona</given-names></name>
          <email>smancini@unisa.it</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Guida</surname><given-names>Michele</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Cuomo</surname><given-names>Albina</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff4">
          <name><surname>Guida</surname><given-names>Domenico</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Computer Engineering, Electrical Engineering and Applied
Mathematics (DIEM), <?xmltex \hack{\break}?> University of Salerno, Fisciano, 84084, Italy</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Laboratory of Environmental Radioactivity “Ambients and Radiations”
(Amb.Ra.), <?xmltex \hack{\break}?> University of Salerno, Fisciano, 84084, Italy</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Civil Engineering (DICIV), University of Salerno,
Fisciano, 84084, Italy</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>interUniversity Centre for the Prediction and Prevention of Major
Hazards (CUGRI), <?xmltex \hack{\break}?> University of Salerno, Fisciano, 84084, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Simona Mancini (smancini@unisa.it)</corresp></author-notes><pub-date><day>5</day><month>November</month><year>2020</year></pub-date>
      
      <volume>52</volume>
      <fpage>87</fpage><lpage>96</lpage>
      <history>
        <date date-type="received"><day>31</day><month>May</month><year>2020</year></date>
           <date date-type="rev-recd"><day>14</day><month>September</month><year>2020</year></date>
           <date date-type="accepted"><day>17</day><month>September</month><year>2020</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2020 Simona Mancini et al.</copyright-statement>
        <copyright-year>2020</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020.html">This article is available from https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e131">The aim of this paper is to analyse and discuss the
results of the regional program Rad Campania for the monitoring and the
assessment of the radon risk. An innovative methodology, based on a geogenic
approach, was developed, supported by a comprehensive campaign of radon
measurement performed in soil gas, natural waters, drinking natural water
samples and indoor air. Data refer to field measurements carried out in
three provinces of the Campania Region (Italy): Salerno, Avellino and
Benevento. The programme was completed with the main purpose to investigate
the peculiarities of the radon issue at a provincial scale and to redact a
map of the radon potential from soil as a tool for authorities to recognise
critical areas (“Radon prone areas”) to monitor. Since the experience
demonstrates that the high radon potential from soil is not indicative of
high indoor radon concentrations, in this paper the authors have tried to
identify a possible general correlation between geological features of the
soil and structural characteristics of the buildings, elaborating more in
depth all data collected. The main purpose is to categorize and analyse the
performance of different kind of construction, typical of the local area, in
order to develop, in a future work, an indicator of the building
performances as a useful tool, for authorities, to recognise constructions
potentially more exposed to high indoor radon activity concentrations.
Results and perspectives have been discussed.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e143">Since its very first moments on the Earth, Mankind has been continuously
exposed to ionizing radiations from environmental radioactivity, consisting
in three kinds of contribution: cosmogenic, primordial and anthropogenic.
Among them, the one produced by naturally occurring primordial sources
provides the largest percentage to the human exposure. The most important
primordial source is constituted by radionuclides, such as <inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup></mml:math></inline-formula>K and the
uranium and thorium decay families (<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">238</mml:mn></mml:msup></mml:math></inline-formula>U, <inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">232</mml:mn></mml:msup></mml:math></inline-formula>Th and <inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">235</mml:mn></mml:msup></mml:math></inline-formula>U
series). Many of the intermediate radioisotopes in these chains are metals
and chemically reactive. For this reason, once formed by the predecessor's
decay, they remain confined in the rocks, where they were generated, unless
dispersed into the environment due to the erosion mechanisms made by
weathering processes.</p>
      <p id="d1e182">The only exception is represented by radon, the heaviest chemical noble
element, which occurs in the gaseous state at Standard Temperature and
Pressure (STP) conditions and naturally does not create chemical bonds. It
tends, therefore, to migrate within the rock materials in the soil, where it
has been formed (emanation process), and transported in the near-surface
soils by fluid carriers (water, air, CO<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, CH<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>), through advective
and diffusive displacements, favoured by the soil mechanical
characteristics, (porosity, structure and particle size) and the
environmental conditions reaching the atmosphere (exhalation process) or
spatial locations distant<?pagebreak page88?> from the source (Hosoda at el., 2012; Stavitskaya
et al., 2019).</p>
      <p id="d1e203">The most abundant naturally occurring radon isotope is <inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">222</mml:mn></mml:msup></mml:math></inline-formula>Rn (half-life
of 3.82 days) and, also from the human health protection point of view the
most relevant together with its short-lived alpha emitting progeny. In fact,
regarding its relevance as hazard for humans, this radionuclides easily bind
to the aerosol present in the indoor air, and, once inhaled, deposit on the
bronchial tree, where emitting alpha ionizing radiation turns to be harmful
for basal cells of the bronchial epithelium, critical targets for any
cancerous changes (Ismail and Jaafar, 2011).</p>
      <p id="d1e215">Inhalation of radon and its decay products contributes to about the 50 %
of the individual annual dose due to natural radioactivity and is considered
the most important cause of lung cancer, after smoking (WHO, 2009). Because
at the moment there is no known threshold value below which radon exposure
carries “zero Risk” of lung cancer to humans, there is a general interest
and concern to minimize the exposure of the population to levels as low as
possible.</p>
      <p id="d1e219">Besides its relevance as a harmful hazard for people health, radon has such
peculiar physical features that make it extremely useful in environmental
and earth science (Baskaran, 2016). Radon assessment has been used like one
additional tool (seismic precursor) to register the possible occurrence of
seismic events by means of its possibly occurring activity concentration
anomalies (Buttafuoco et al., 2007; Iovine et al., 2018), associated to land
movements due to volcanic eruptions and occurring in geothermal areas; in
fact, gases can be released can be generated and pressurized by hot regions
such as volcanos and stress can be generated by the build-up of strains that
precede earthquakes and volcanic eruptions (De Lauro et al., 2009; Falanga
et al., 2019).</p>
      <p id="d1e222">The main exposure to high radon activity concentrations generally occurs in
basement or/and poor ventilated environments, where, once exhalated in the
air from a source (soil is the most relevant one), radon can accumulate
reaching levels harmful for the occupants. Building materials play a
secondary role and in some cases water and gas supplies represent a further
non-negligible source. Outdoor radon level is in the range of 5–15 Bq/m<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> range, due to the effectiveness of mixing processes in the
atmosphere (Nero, 1989; Nero and Nazaroff, 1984, 1988, UNSCEAR, 2000).</p>
      <p id="d1e234">But, even in presence of a relevant source of radon production, the total
indoor activity concentration mainly depends on the ability of the gas to
penetrate inside a closed environment. Radon migration depends on two
independent processes: the advection mechanism driven by a pressure gradient
and the molecular diffusion, due to gas concentration gradient. The
parameters affecting the transport process are essentially the diffusion
coefficient and the permeability of the medium. Instead, the entry into the
building depends not only on the transport phenomenon but also on the
interface properties between the soil, where the transport occurs and the
internal environment. Therefore, the accumulation inside the building is the
result of the balance between the entry rate and the gas removal rapidity
(essentially related to the ventilation rate and the radioactive decay).</p>
      <p id="d1e237">So, if the relevant influence of the soil on radon concentrations detectable
in buildings is more than evident, it is also clear that building materials
(influenced by the radium content, structure and water content) also can
play a strategic role due to the exhalation phenomenon from them. It is
estimated, in fact, that for a single standard house in masonry and in a
temperate climate, the radon coming from the soil beneath the basement,
constitutes 60 % of the total, while the diffusion from building materials
and the infiltration of radon with the extract air, can play a not
negligible role (superior to 20 % and 18 % respectively); other indoor
radon sources like water and natural gas supplies turn out to be relatively
less important.</p>
      <p id="d1e240">For such reasons radon activity concentrations are expected to decrease on
the upper floors where the largest contributions is expected to be from
building materials or, sometimes, from particular pathways of air
circulation (stairwell, elevator, cables...) inside the building which
starting from the ground can reach the upper floors (chimney effect).</p>
      <p id="d1e243">All this assumed, the relative contributions of the various sources of radon
and parameters affecting the processes are strongly variable from one
building to another. Nevertheless, it could be a good starting point to
analyse all data collected in a specific area to identify firstly the
peculiar geological features of the local area and then categorize the
buildings, according the traditional local system, in order to recognize the
more exposed type to the problem of the radon accumulation (Mancini et al.,
2014a).</p>
      <p id="d1e247">The interest to identify buildings vulnerable to radon accumulation, because
of its impact on people health, is, also, moved by the requirements of the
European Directive 2013/59/EURATOM, which states all the sources of radon
entry into buildings have to be considered and taken into account under a
point of view truly interdisciplinary. In the same spirit expressed by the
Directive, the Joint Research Centre (JRC) of the European Commission has
been working to the project of a European Atlas of Natural Radiation. The
Atlas is a collection of maps of Europe displaying the levels of natural
radioactivity caused by different sources such as indoor radon, cosmic
radiation, terrestrial gamma radiation, terrestrial radionuclides in soil
and bedrock (Tollefsen et al., 2017; Ciotoli et al., 2017; Watson et al.,
2017; Bossew et al., 2020).</p>
      <p id="d1e250">For such reasons an Interdisciplinary Strategic Programme of Applied
Research for the Assessment of Naturally Occurring Radioactive Materials in
Natural and Anthropic Environments, called RAD_CAMPANIA, with
particular attention to radon, has been started in Italy at the University
of Salerno, in collaboration with the interUniversity Centre for Applied
Research on the Prediction and Prevention of Major Hazards (CUGRI), and the
Regional Agency for the<?pagebreak page89?> Environmental Protection of Campania (ARPA
Campania) (Guida et al., 2013; Cuomo et al., 2015; Mancini et al., 2018).</p>
      <p id="d1e253">This 10 years work, so far, has shown that the environmental monitoring in
workplaces or housings, can, no more, be limited to integrated measurements,
but must be necessarily capable to identify which is the main source (soil,
building material, water or natural gas) responsible for the accumulation of
indoor Radon. This is needed in order to design and perform the most
appropriate mitigation remedies, in new and existing buildings, reducing the
maximum levels to the reference limits prescribed by the legislation and
compliant with the requirements of energy-efficient modern buildings, as it
has been underlined by Yarmoshenko et al. (2014).</p>
      <p id="d1e256">RadCampania project produced numerous and different outcomes, from the study
of the interactions between natural water bodies (surface and groundwater)
to the modelling of the radon entry and accumulation in buildings. In this
work the aspects related to geogenic feature of the soil and characteristics
of buildings are discussed and analyzed.</p>
      <p id="d1e259">Thanks to the adaptability and flexibility of the developed methodology the
procedure is appropriate in any areas and results can be considered as valid
support in areas with similar geological features, instead.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Study area</title>
      <p id="d1e277">The geological structure of the Italian territory comprises recent volcanic
rocks, granitic areas, and high permeability soils located in the vicinity
of seismic faults. These features suggest the existence of radon-prone areas
(Bochicchio et al., 1996), which are prescribed by the still effective
Italian regulation D.Lgs. n.241-2000, implementing the old EU Directive
1996/29 about the protection of public and workers health against the risks
associated to ionizing radiations.</p>
      <p id="d1e280">Among the Italian regions, Campania exhibits all those features in its
territory, covering a total area of 13 590 km<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>, including the largest
Italian province, the province of Salerno (4954 km<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) and, showing,
in addition the highest population density in Europe, 2671 people per
km<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> w.r.t. the national average value of 199.8 people/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 the European average value of 34 people/km<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>.</p>
      <p id="d1e328">From a geological point of view, the territory is one of the places in the
world where a large variety of geological environments are present in a
narrow, highly inhabited area (for an extensive description see Cuomo, 2012;
Vitale and Ciarcia, 2018).</p>
      <p id="d1e331">The physiography of the Campania region landscape is very complex, depending
by geology, morpho-structural setting and morphogenesis. In general, three
sectors can be defined: coastal plains (about 25 % in area), filled by
fluvial and marine clastic successions, marly-clayey, anti-Appenine hilly
landscape (31 %) and carbonate and terrigenous mountain landscape
(44 %).</p>
      <p id="d1e335">The region corresponds, geo-tectonically, to the peri-Tyrrhenian sector of
the Campano-lucanian Arc within the Southern Appennine Chain. This one
represents a segment of a larger fold-and-thrust belt built up in Central
Tethys between late Cretaceous and Pleistocene, as consequences of
interaction between the European and African plates, spreading of the
Tyrrhenian oceanic basin and anti-clockwise rotation of the orogenic front.
Due to long-time and complex litho-genetic history, tectono-sedimentary
events and orogenetic displacements, several litho-stratigraphic units,
stacked in form of normal overthrusts and/or irregular sequence, can be
distinguished.</p>
      <p id="d1e338">The Internal Units, Mesozoic to Tertiary aged, are made up at the base
prevalently by marly, varicoloured clay, in oceanic plain sedimentary
facies, passing above to calcarenites, calcilutites, often cherty,
argillites, sandstones and rare conglomerate deposited in a distal turbidite
basin. The External Units are constituted mainly by neritic, carbonate
sediments of Mesozoic and Tertiary age which show sedimentary environments
going from the shallow water carbonates with back-reef facies to slope and
deep water carbonates. These units form the main mountainous massifs of
Campania region located both inland and coastal areas; they constitute the
bedrock of major karst massifs in the Matese M.nts, Camposauro-Taburno
M.nts, Avella-Partenio M.nts, Sorrento Peninsula, Picentini M.nts, as well
as in the Cilento. The Lagonegro Units are made up of cherty limestones at
the base and marly clayey at the top, likely deposited in a deep marine
basin, outcrops exclusively along the axis of Apennine Chain. The Apulia
Units represent the remnants of Apulia Foreland, in progressive lowering
under the Foretrough and Chain by deep normal and listric faults. In
disconformity, there are the Neogenic Sinorogenic Units, represented by
several terrigenous formations and units referred to Miocene-Pliocene age,
lying on previous units and in the Bradanic Forethrough. They are mostly in
turbidite facies, from wild-flysch to submarine fan sedimentary characters.
For instance, Cilento Group is one of these units, which is the most
widespread unit in the homonymous area and along the corresponding coast; a
minor unit outcrops in Sorrento Peninsula. Surrounding the Somma-Vesuvius
volcanic complex and Phlaegrean Phields, near Naples city and Ischia and
Procida volcanic islands, large surfaces are covered by volcanic formations
and volcano-clastic deposits, Pleistocene in age . They are known as the
peri-Tyrrhenian volcanism due to the deepest crossing normal faults of the
Campania Plain Graben.</p>
      <p id="d1e341">The Quaternary Post-orogenic Units include all the continental, transition
and marine clastic sediments, deposited after the final emersion of Apennine
Chain, from Late Pliocene to Early Pleistocene and Holocene. They are
represented by aeolian, fluvial, piedmont, lacustrine and travertine
deposits along the river valleys and coastal plains. Such units<?pagebreak page90?> can show
intercalation of the products of Vesuvian and Phlaegrean volcanic activity,
previously considered (Cuomo, 2012).</p>
      <p id="d1e344">Because of this soil characteristics, the Campania region is characterized
by an indoor Radon (arithmetic) mean activity concentration value, 95 Bq/m<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> higher than the national average, around 70 Bq/m<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>
(Bochicchio et al., 1996). At first instance these indoor Radon values in
Campania can be reasonably expectable due to the above explained geological
features and, in addition, the extensive use of stones of volcanic origin
(yellow tuff, grey tuff, etc.) in the traditional building construction
systems.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>The hierarchical multi-scalar geogenic approach</title>
      <p id="d1e373">The RAD_Campania Project was aimed to the construction and
the application of an innovative adaptive geogenic methodology for the
estimation of the radon potential, integrated in a GIS-based environment.
This program adopts a multiscale and hierarchic approach, widely used in
environmental planning and landscape ecology (Blasi et al., 2007)</p>
      <p id="d1e376">In the following there will be briefly shown the main assumptions and
preliminary results of the “Radon-prone Areas” Sub-project developed
according to the directions of the Radon National Plan (MDS Italian Ministry
of Health, 2002).</p>
      <p id="d1e379">The adopted approach exploit techniques of differentiated analysis at
different scales of territorial analysis, which are interactive and
progressively more specific and in depth: from the zoning at a regional
scale to the physical-mathematical modelling at a site scale, adopting an
approach called “<italic>Hierarchical and Multi-scale Areas Zoning</italic>”. It is finalized to the individuation and
classification of the <italic>Radon-prone Areas</italic>, organized in coherently hierarchical terms (Fig. 1).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e391">Hierarchical Multi-scale Levels for the Radon-prone Areas in
Campania Region.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020-f01.png"/>

        </fig>

      <p id="d1e400">The Regional Level of analysis and mapping provides specific tools, at the
scale 1 : 250 000, suitable for the regional planning.</p>
      <p id="d1e403">The Provincial Level, mapping at the scale 1 : 100 000, can be suitable and
useful for the sub-regional territorial planning.</p>
      <p id="d1e406">At the District level, the scale of analysis between 1 : 50 000 and 1 : 25 000
is suitable for Inter-municipal Plans i.e. the Territorial Planning of
aggregated municipality (Strategic Town Plans) or for epidemiological
strategies by the Local Sanitary Authorities.</p>
      <p id="d1e409">The Zone level of analysis represents the Radon-soil gas spatial
distribution at the scales of 1 : 5000–2000 and turns to be useful for a
Municipal Town Planning. At least, the Site one is suitable for Executive
Planning, at the scale 1 : 2000 and for Radon-soil gas and Indoor Modelling.</p><?xmltex \hack{\newpage}?>
<sec id="Ch1.S2.SS2.SSSx1" specific-use="unnumbered">
  <title>The analysis at regional and province level</title>
      <p id="d1e419">The preliminary map, GIS based, of the <italic>Radon-prone Areas</italic>, at regional level, has been made
through two operative steps:
<list list-type="bullet"><list-item>
      <p id="d1e427">the geological analysis of regional synthesis, with the individuation and
delimitation of the Lithological Systems (Blasi et al., 2007), characterizing
the main geological formations outcropping in the Campania region.</p></list-item><list-item>
      <p id="d1e431">the complete bibliographical analysis containing references on radon-soil
gas-geology correlations, then applied to the Campania region geological
setting.</p></list-item></list>
This procedure produced only an indicative, but not an operative tool for
planning purposes.</p>
      <p id="d1e435">At province level, instead, a more articulated methodology of analysis has
been implemented, in order to give a greater detail setting, considering,
besides the lithology, the main recognized factors contributing to radon
exhalation from soil.</p>
      <p id="d1e438">The procedure starts from the assumption, acquired in the specific
scientific literature, that the geological factors, increasing the
probability that an area can show higher levels of <italic>Radon-soil gas</italic> than the average ones
(Schuman and Owen, 1988).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e446">Campania radon potential map (including the province of Salerno,
Avellino and Benevento).</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020-f02.png"/>

          </fig>

      <p id="d1e456">The methodology, developed in Guida et al. (2008), follows partly the
indirect procedures in the Radon Soil Exhalation Potential (PERS) Project,
realized by the former Italian National Agency for Environmental Protection
(ANPA, 2000), adapting them to the Campania region and integrating the rules
elaborated by Wiegand for compiling of the Radon Guide Lines in Germany
(Wiegand, 1996, 2001), and by the<?pagebreak page91?> Illinois Emergency Management Agency, for
the compiling of the Status Report Radon in the Illinois State, USA (IEMA,
2006).</p>
      <p id="d1e459">The application of the methodology allowed to set up a preliminary Map of
the <italic>Radon-Prone Areas</italic> built up by the following steps: (i) “geology-based” correlations from
more specific bibliography; (ii) more geological detail than the one at the
regional level, with the individuation and the mapping of the Lithological
Complexes; (iii) setting from experimental measurements of radon soil-gas in
different sample sites, located in lithological complexes representative of
the provincial territory; (iv) compiling of a Map of interpretative
synthesis, obtained from the spatial analysis rules, applied in GIS
environment, taken into account the specific contributes to the exhalation
deriving from various factors (geology, geomorphology, hydrogeology,
vegetation, etc.) and progressive calibration of the weighted values by the
real data acquired from the in situ measurements, opportunely gathered and managed
in an appropriate Relational Database.</p>
      <p id="d1e465">The general procedure for the compiling of the <italic>Radon-prone Areas</italic> Map is based on the Factor
Rating Method, implementing a GIS_Raster procedure (Biallo,
2005) and adopting a “cascade” criteria from progressive analysis of the
basic factors and successive steps, according the procedure deeply described
in Guida et al. (1994).</p>
      <p id="d1e471">At the end, the radon potential map has been realized, representing the
aggregated results (Fig. 2) (Cuomo et al., 2015).</p>
      <p id="d1e474">After the conclusion the program, more than 500 measurements of radon
activity concentration in soil-gas, water (natural streams and springs) and
buildings have been performed from the end of February to July 2010.</p>
      <p id="d1e477">The RAD_Campania survey has involved a total of 96 sampling
sites or measurement stations, distributed according to different geological
characteristics, with a density of the measurements grid per province
proportional to the homogeneity of the geological features and the
territorial extension of the province itself.</p>
      <p id="d1e481">The final map classifies the areas in six classes, from 1 (very low) to 6
(very high), highlighting a progressively higher radon potential hazard.</p>
      <p id="d1e484">The investigation of the provinces of Napoli and Caserta, where the geology
and geophysics, the tectonics, the petrology, the lithospheric structure
beneath the volcanic systems turn out to be extremely complex, for the
presence of many different volcanic systems a variegated kind of occurring
geodynamical phenomena (Vitale and Ciarcia, 2018), strictly connected with
the radon presence in the territory, were not included in the
RAD_CAMPANIA project.</p>
</sec>
</sec>
<?pagebreak page92?><sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Experimental set up</title>
      <p id="d1e496">Radon activity concentration measurements have been performed both on-site
and in the Laboratory of Environmental Radioactivity “Amb.Ra.” of the
University of Salerno, ISO 9001:2015 certified, with the logistics support
provided by the interUniversity Centre for Applied Research on the
Prediction and Prevention of Major Hazards (CUGRI) and in collaboration with
the Regional Agency for the Environmental Protection of Campania (ARPA
Campania).</p>

      <?xmltex \floatpos{h!}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e501">RAD7 Normal Configuration for indoor Radon and Soil Gas
Probe configuration.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/52/87/2020/adgeo-52-87-2020-f03.png"/>

        </fig>

      <p id="d1e510">In order to accomplish the tasks of the project, it has been used a unique
highly versatile radon measurement facility system, able to perform radon
measurements in different environmental matrices (soil-gas, water,
indoor-air), guaranteeing coherent, harmonized standardized measurement
methods both in-situ and in the laboratory, conformally to international ISO
Standards. Among the different available experimental instruments the choice
to adopt the alpha spectrometry technique of the radon short-lived progeny
by means of a continuous radon monitor, is related to the ability to observe
the variation of “radon levels” during the measurement. Moreover, such
devices are the unique which can be easily exploited both on-site and in the
laboratory providing, at the same time, low background and high sensitivity.</p>
      <p id="d1e514">In particular, it has been employed the Durridge RAD7 (2012, Durridge Company,
Inc., Bedford, MA, USA), a solid state ion-implanted silicon semiconductor
alpha detector, converting alpha radiation directly to an electrical signal,
with two important advantages: ruggedness and the ability to electronically
determine the energy of each alpha particle. This makes it possible to tell
exactly which isotope (polonium-218, polonium-214, etc.) produced the
radiation, so that one can immediately distinguish old radon from new radon,
radon from thoron, and signal from noise. This technique, known as alpha
spectrometry, has a great advantage in sniffing, or grab-sampling,
applications assuring a nominal sensitivity, in sniff mode, of 0.0067 cpm/(Bq/m<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, while in normal mode 0.013 cpm/(Bq/m<inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e541">Besides the solid-state alpha detector, RAD7 consists of a 0.7 L
hemispherical cavity, coated on the inside with an electrical conductor. To
perform field or laboratory measurement the instrument needs to be connected
to special accessories according the user manuals. In particular, to perform
field measurements in the soil, a soil probe (a steel pipe with 8 mm inner
diameter, 15 mm outer diameter and 110 cm length) was inserted down to a
minimum depth of 0.7 m. The inlet port of RAD7 was connected to the sampling
tube outlet using vinyl flexible tubes through a dust filter and an inlet
filter (pore size 1 <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) which prevented dust particles and radon
progeny from entering the chamber. The performing of measurements in the
indoor air, does not need, instead, special complements. The adopted
configuration of the instrument to perform measurements in soil gas and
indoor air is reported in Fig. 3 (the configuration for measurements in
water is omitted as it has been already described extensively in previous
papers
focusing only on water measurements and data acquired, Guida et al., 2013,
2015).</p>
      <p id="d1e554">The monitoring plan, the preparation of instruments, the collection samples
and the data recording process were achieved according the internal
standardized procedure of the Laboratory Ambient and Radiations. Measurement
protocols, for each environmental matrix (soil, water, air) have been
provided by the factory, instead.</p>
      <p id="d1e557">All the campaigns have been conducted by means of no. 3 calibrated RAD7
instruments, one completely dedicated to radon-soil gas, one for indoor air
and one for radon-in-water measurements.</p>
<sec id="Ch1.S2.SS3.SSSx1" specific-use="unnumbered">
  <title>Other data</title>
      <p id="d1e565">For each measurement, geographic coordinates, altitude and meteorological
data were collected, as the building characteristics, floor and lithological
characteristics of the underlying soil if available. During the campaign a
survey was conduct according a questionnaire suggested by the guidelines
integrated in the national radon plan.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data results</title>
      <p id="d1e578">Once collected all data and information, the first step was to categorize
the complete dataset (Tables 1–2). Note a the different number of
investigation sites per province because it is proportional to the extension
of the territory and the presence of a great variability of the soil
(non-homogeneous geology). So, the larger province of Salerno was
investigated with a greater number of investigations in the soil and indoor
air.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e584">Measured values of radon activity concentrations in soil-gas.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.96}[.96]?><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Province</oasis:entry>
         <oasis:entry colname="col2">Sites</oasis:entry>
         <oasis:entry rowsep="1" namest="col3" nameend="col6" align="center">Radon activity concentration [Bq/m<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>] </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">No.</oasis:entry>
         <oasis:entry colname="col3">mean</oasis:entry>
         <oasis:entry colname="col4">minimum</oasis:entry>
         <oasis:entry colname="col5">maximum</oasis:entry>
         <oasis:entry colname="col6">SD (<inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Benevento</oasis:entry>
         <oasis:entry colname="col2">21</oasis:entry>
         <oasis:entry colname="col3">7845</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">28 700</oasis:entry>
         <oasis:entry colname="col6">1131</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Avellino</oasis:entry>
         <oasis:entry colname="col2">26</oasis:entry>
         <oasis:entry colname="col3">15 011</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">68 000</oasis:entry>
         <oasis:entry colname="col6">880</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Salerno</oasis:entry>
         <oasis:entry colname="col2">49</oasis:entry>
         <oasis:entry colname="col3">18 379</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">90 000</oasis:entry>
         <oasis:entry colname="col6">1479</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">96</oasis:entry>
         <oasis:entry colname="col3">13 745</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">90 000</oasis:entry>
         <oasis:entry colname="col6">1479</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e753">Measured values of radon activity concentrations in indoor air.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.97}[.97]?><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Province</oasis:entry>
         <oasis:entry colname="col2">Sites</oasis:entry>
         <oasis:entry rowsep="1" namest="col3" nameend="col6" align="center">Radon activity concentration [Bq/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>] </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">No.</oasis:entry>
         <oasis:entry colname="col3">mean</oasis:entry>
         <oasis:entry colname="col4">minimum</oasis:entry>
         <oasis:entry colname="col5">maximum</oasis:entry>
         <oasis:entry colname="col6">SD (<inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Benevento</oasis:entry>
         <oasis:entry colname="col2">21</oasis:entry>
         <oasis:entry colname="col3">84</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">204</oasis:entry>
         <oasis:entry colname="col6">29</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Avellino</oasis:entry>
         <oasis:entry colname="col2">26</oasis:entry>
         <oasis:entry colname="col3">327</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">5930</oasis:entry>
         <oasis:entry colname="col6">92</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Salerno</oasis:entry>
         <oasis:entry colname="col2">49</oasis:entry>
         <oasis:entry colname="col3">160</oasis:entry>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">1610</oasis:entry>
         <oasis:entry colname="col6">67</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">96</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">&lt; MDA</oasis:entry>
         <oasis:entry colname="col5">5930</oasis:entry>
         <oasis:entry colname="col6">92</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \hack{\newpage}?><?xmltex \floatpos{t}?><table-wrap id="Ch1.T3"><?xmltex \currentcnt{3}?><label>Table 3</label><caption><p id="d1e923">Mean value of radon activity concentrations in indoor air according
the zone-type.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Zone</oasis:entry>
         <oasis:entry colname="col2">Sites <?xmltex \hack{\hfill\break}?></oasis:entry>
         <oasis:entry namest="col3" nameend="col4" align="center">Radon activity </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry rowsep="1" namest="col3" nameend="col4" align="center">concentration [Bq/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>] </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">No.</oasis:entry>
         <oasis:entry colname="col3">mean</oasis:entry>
         <oasis:entry colname="col4">SD (<inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">urban</oasis:entry>
         <oasis:entry colname="col2">55</oasis:entry>
         <oasis:entry colname="col3">209</oasis:entry>
         <oasis:entry colname="col4">54</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">metropolitan</oasis:entry>
         <oasis:entry colname="col2">14</oasis:entry>
         <oasis:entry colname="col3">268</oasis:entry>
         <oasis:entry colname="col4">59</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">rural</oasis:entry>
         <oasis:entry colname="col2">27</oasis:entry>
         <oasis:entry colname="col3">101</oasis:entry>
         <oasis:entry colname="col4">42</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4"><?xmltex \currentcnt{4}?><label>Table 4</label><caption><p id="d1e1049">Mean value of radon activity concentrations in indoor air, measured
at the basement floor of buildings, according the foundation type.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Foundation's type</oasis:entry>
         <oasis:entry colname="col2">Sites</oasis:entry>
         <oasis:entry namest="col3" nameend="col4" align="center">Radon activity </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry rowsep="1" namest="col3" nameend="col4" align="center">concentration [Bq/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>] </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">No.</oasis:entry>
         <oasis:entry colname="col3">mean</oasis:entry>
         <oasis:entry colname="col4">SD (<inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Slab on grade</oasis:entry>
         <oasis:entry colname="col2">42</oasis:entry>
         <oasis:entry colname="col3">344</oasis:entry>
         <oasis:entry colname="col4">66</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Submerged/flush crawl space</oasis:entry>
         <oasis:entry colname="col2">48</oasis:entry>
         <oasis:entry colname="col3">73</oasis:entry>
         <oasis:entry colname="col4">42</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Strap/single spread footing</oasis:entry>
         <oasis:entry colname="col2">6</oasis:entry>
         <oasis:entry colname="col3">55</oasis:entry>
         <oasis:entry colname="col4">20</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{h!}?><table-wrap id="Ch1.T5"><?xmltex \currentcnt{5}?><label>Table 5</label><caption><p id="d1e1174">Mean value of radon activity concentrations in indoor air at the
basement/ground floor vs. first floor.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Floor</oasis:entry>
         <oasis:entry colname="col2">Sites</oasis:entry>
         <oasis:entry namest="col3" nameend="col4" align="center">Radon activity </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry rowsep="1" namest="col3" nameend="col4" align="center">concentration  [Bq/m<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>] </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">No.</oasis:entry>
         <oasis:entry colname="col3">mean</oasis:entry>
         <oasis:entry colname="col4">SD (<inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Basement/ground</oasis:entry>
         <oasis:entry colname="col2">92</oasis:entry>
         <oasis:entry colname="col3">190</oasis:entry>
         <oasis:entry colname="col4">50</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">first</oasis:entry>
         <oasis:entry colname="col2">4</oasis:entry>
         <oasis:entry colname="col3">188</oasis:entry>
         <oasis:entry colname="col4">59</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1281">Instead, in order to elaborate more in-depth data pursuing the aim to
investigate the main features responsible of the accumulation of radon
indoor, the analysis was restricted to data related to indoor radon and the
soil. Data related to water were not considered because not significative
for this purpose.</p>
      <p id="d1e1284"><?xmltex \hack{\newpage}?>So, this kind of analysis involved 192 data, 96 in the soil gas and 96 in
buildings performed in the province of Avellino, Benevento and Salerno. Soil
gas measurements were performed in the nearby of the investigated building
in order to then verify a possible correlation between the geogenic
prognosis and the actual measured indoor values. In fact, if radon
concentrations in soil gas can be regarded as a natural hazard parameter
which is independent on construction type, state and age of existing houses,
indoor radon instead is very influenced by the building-specific
characteristics lifestyle of inhabitants.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T6" specific-use="star"><?xmltex \currentcnt{6}?><label>Table 6</label><caption><p id="d1e1292">Mean value of radon activity concentrations in indoor air at the
basement ground floor grouped according the material of the wall and the
foundation type.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Material (walls)</oasis:entry>
         <oasis:entry colname="col2">Foundation type</oasis:entry>
         <oasis:entry colname="col3">Radon activity</oasis:entry>
         <oasis:entry colname="col4">SD (<inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">concentration [Bq/m<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>]</oasis:entry>
         <oasis:entry colname="col4">[Bq/m<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>]</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Concrete</oasis:entry>
         <oasis:entry colname="col2">Slab on grade</oasis:entry>
         <oasis:entry colname="col3">227</oasis:entry>
         <oasis:entry colname="col4">68</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Concrete</oasis:entry>
         <oasis:entry colname="col2">Submerged/flush crawl space</oasis:entry>
         <oasis:entry colname="col3">53</oasis:entry>
         <oasis:entry colname="col4">31</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Concrete</oasis:entry>
         <oasis:entry colname="col2">Strap, single spread footing</oasis:entry>
         <oasis:entry colname="col3">25</oasis:entry>
         <oasis:entry colname="col4">41</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Tuff or natural stones</oasis:entry>
         <oasis:entry colname="col2">Slab on grade</oasis:entry>
         <oasis:entry colname="col3">504</oasis:entry>
         <oasis:entry colname="col4">78</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Tuff or natural stones</oasis:entry>
         <oasis:entry colname="col2">Submerged/flush crawl space</oasis:entry>
         <oasis:entry colname="col3">150</oasis:entry>
         <oasis:entry colname="col4">82</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Tuff or natural stones</oasis:entry>
         <oasis:entry colname="col2">Strap/single spread footing</oasis:entry>
         <oasis:entry colname="col3">81</oasis:entry>
         <oasis:entry colname="col4">31</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Brick</oasis:entry>
         <oasis:entry colname="col2">Slab on grade</oasis:entry>
         <oasis:entry colname="col3">64</oasis:entry>
         <oasis:entry colname="col4">24</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?pagebreak page94?><p id="d1e1476">As previously stated, the aim of this final report is to evaluate possible
correlation between indoor radon concentration and other features. For this
kind of analysis, data were catalogued according to the zone (urban,
metropolitan, rural), the type of foundation (direct contact, crawl space,
private, upper floor) and the type of material (reinforced concrete, tuff,
stone) (Tables 3–5) and, then, combined according to the main materials used
for walls and the type of foundation, Table 6.<?xmltex \hack{\newpage}?></p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Data discussion</title>
      <p id="d1e1488">Results confirm how urban areas are more exposed to the indoor radon
accumulation, maybe because of the outdoor air pollution people are not
accustomed to ventilating naturally their house and tends to live in well
closed and isolate flats. So, in urban areas the problem is mostly
attributable to behavioural factors related to the city lifestyle.</p>
      <p id="d1e1491">As regards the structural features it is not possible to define sharply a
type of foundation or material which increase with evidence indoor levels.
In fact, even if tuff is a material with higher radium content than others,
data show how higher concentrations were revealed in buildings made in
concrete and with aerated foundation (crawl spaces). This result highlights
how the maintenance of the interface soil-buildings (in terms of presence of
cracks) plays the most important role in the accumulation phenomena. This
consideration could be also confirmed by the comparison of Tables 3 and 4. As
it could be observed (Tables 1–2) the province showing a higher radon
concentration from soil (Salerno) is not the same showing higher indoor
radon concentrations (Avellino). The maintenance of a buildings is also
connected by the socio-economic and cultural context. For example, detached
and semidetached houses show generally a bad maintenance state instead of
multifamily building because of the refitting costs.</p>
      <p id="d1e1494">At least another important consideration could be done in relation to the
obvious reducing of the indoor radon levels from lower to upper floor. As
expected, the contribute of the main source of radon, the soil, tend to
decrease dramatically (in our case less than 4 times) because of the
ventilation exchanges indoor-outdoor and indoor-indoor.</p>
      <p id="d1e1497">Regarding the contribution to the indoor radon activity concentrations
provided by the building materials its direct evaluation from the activity
of the naturally occurring radionuclides contained in walls, ceilings and
structural elements, which is expressed usually, both in the regulatory
bodies and in the scientific literature, in terms of the activity
concentration index (<inline-formula><mml:math id="M32" display="inline"><mml:mi>I</mml:mi></mml:math></inline-formula>) or the radium equivalent activity (Ra-eq), is
extremely difficult if not impossible (Keller et al., 1987) .</p>
      <p id="d1e1508">Therefore, for such reasons, in the framework of the Buildings sub-project a
simplified approach, the Salerno Indoor Radon Emanation Model (S.I.R.E.M.)
procedure, to assess indoor radon activity concentrations based upon on-site
experimental evaluations of radon emanation by building materials, has been
formulated with the aim to realize a tool not only with a scientific valence
but also useful and precious for its applications to real situations
(Mancini et al., 2012, 2014b).</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e1520">Results evidence that to map the radon potential from soil cannot be the
only tool, for authorities, to manage the radon issue. The maintenance of
the interface soil-building plays one of the most important tool. So,
mitigation system and action for new and existing building should focus
firstly on this structural part. Apartments and closed spaces sited in the
basement and ground floor are very exposed to the radon issue, so the
control of indoor concentrations should focus on the lower rooms of a
building. The respect of the limits in those places is precautional enough
to assure, as first level of analysis, the same at the upper levels, even if
in urban areas this assumption could not be respected because of the low
ventilation rates which increase the effect of the contribution due to
exhalation by building materials.</p>
      <p id="d1e1523">The categorization of buildings (according the foundation type, materials,
number of floors) show how it is possible to identify a peculiar behaviour
for each construction-type and so try to build up a performance indicator
for different kind of construction, in term of response to the potential
radon from soil. So, it could be very interesting to propose in a future
work, an indicator of the building performances as useful tool, for
authorities, to recognise constructions potentially more exposed to high
indoor radon activity concentrations and for professional to support the
design of constructions. Statistical analyses could be useful for this
purpose, too.</p><?xmltex \hack{\newpage}?>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1531">Data are not publicly accessible because studies involved third party and authors have not been authorized to release them.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1537">MG conceived the idea of the presented work.  SM wrote the manuscript and processed the experimental data. MG, DG and AC supervised the findings of this work. All authors discussed the results and contributed to the final version of the paper. All authors took part at the reported RAD Campania project. All authors provided critical feedback and helped shape the analysis and paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1543">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e1549">This article is part of the special issue “Understanding volcanic processes through geophysical and volcanological data investigations: some case studies from Italian sites (EGU2019 GMPV5.11 session, COV10 S01.11session)”. It is not associated with a conference.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1555">This paper was edited by Enza De Lauro and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

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    <!--<article-title-html>A geogenic approach for the Radon monitoring and the exposure assessment at a regional scale:  The results of  the Rad_Campania project</article-title-html>
<abstract-html><p>The aim of this paper is to analyse and discuss the
results of the regional program Rad Campania for the monitoring and the
assessment of the radon risk. An innovative methodology, based on a geogenic
approach, was developed, supported by a comprehensive campaign of radon
measurement performed in soil gas, natural waters, drinking natural water
samples and indoor air. Data refer to field measurements carried out in
three provinces of the Campania Region (Italy): Salerno, Avellino and
Benevento. The programme was completed with the main purpose to investigate
the peculiarities of the radon issue at a provincial scale and to redact a
map of the radon potential from soil as a tool for authorities to recognise
critical areas (<q>Radon prone areas</q>) to monitor. Since the experience
demonstrates that the high radon potential from soil is not indicative of
high indoor radon concentrations, in this paper the authors have tried to
identify a possible general correlation between geological features of the
soil and structural characteristics of the buildings, elaborating more in
depth all data collected. The main purpose is to categorize and analyse the
performance of different kind of construction, typical of the local area, in
order to develop, in a future work, an indicator of the building
performances as a useful tool, for authorities, to recognise constructions
potentially more exposed to high indoor radon activity concentrations.
Results and perspectives have been discussed.</p></abstract-html>
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