<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>A Decision Support System to finance irrigation investments: the Italian National Database of Investments for Irrigation and Environment (DANIA)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Raffaella Zucaro</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marianna Ferrigno</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Romina Lorenzetti</string-name>
          <email>romina.lorenzetti@crea.gov.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Council for Agricultural Research and Economics - Research Centre for Agricultural Policies and Bioeconomy (CREA-PB)</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <fpage>205</fpage>
      <lpage>212</lpage>
      <abstract>
        <p>This paper presents the Italian National Database of Investment for Irrigation and Environment (DANIA), providing a multi-functional and interoperable tool for policy makers and water resource management actors. DANIA was born in collaboration with Italian Regions, in the frame of the Budget Law 2018 which provided the financing of irrigation investments. DANIA consists in a harmonized collection of planned and financed interventions for collective irrigation, aimed to irrigation or hydrogeological instability defense. The technical, financial, and environmental data are useful for programming, monitoring financial progress and evaluating policies' effectiveness. Standardized codes allow a semantic interoperability with other national database, particularly with SIGRIAN - the National Information System for Water Management in Agriculture. DANIA has been already applied to support programming and monitoring irrigation investments in Italy.</p>
      </abstract>
      <kwd-group>
        <kwd>information system</kwd>
        <kwd>interoperability</kwd>
        <kwd>investment policy</kwd>
        <kwd>water management</kwd>
        <kwd>WFD</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1 Introduction</title>
      <p>To support policy making processes in agricultural sector it is necessary to deal with
a wide number of information from many sources, to include efficiency and
sustainability principles. These data often are collected and codified autonomously, so
that it becomes necessary the harmonization, in order to allow the connection between
different sources.</p>
      <p>The importance of databases for programming agricultural investments has been
worked out at supranational scale; Daidone and Anríquez, (2011) presented an
extended cross-country database for agricultural investment and capital, underling the
need for homogeneous and multidisciplinary information to reach more targeted
results. In Italy, the competence for water management and irrigation investments in
agriculture is distributed among different actors and levels: Ministry of Agriculture
(MiPAAF) and other Ministries (Environment, Infrastructure), River Basin District
Authorities, Regions, and Local Irrigation Agencies (as actuators). Therefore,
especially by the time of water crises of 2003 and 2007, it was highlighted the need of
coordination between these different administrations and Agencies of an intersectoral
and national relevant planning of investments in the water sector, following the
indications of the European Commission (EC, 2007). So, the National program of
interventions in the water sector was launched, following the intervention strategy
basically aimed at increasing water storage and irrigation efficiency, and promoting
wastewater reuse. This strategy is still implemented with several regional, national and
European financing sources for irrigation investments.</p>
      <p>So, the existence of a unique database able to harmonize information from different
institutions becomes of strategic importance. Several national databases (financial,
environmental, agricultural data) are available and their interoperability, as pursued by
INSPIRE directive (2007), allows an exponential increase of available tools for policy
makers.</p>
      <p>In order to support and match needings of all the involved parties, the Council for
Agricultural Research and Economics - Research Centre for Agricultural Policies and
Bioeconomy (CREA-PB), as scientific and technical support entity for MiPAAF,
proposed a multi-functional and interoperable tool for the investment policies of
agricultural sector, in coordination with environmental and sustainability principles.</p>
      <p>This work aims to show the Italian National Database of investments in agriculture,
as an example of a Decision Support System for agricultural water management, due
to multi-functional and interoperable features.</p>
    </sec>
    <sec id="sec-2">
      <title>2 Database data and structure</title>
      <p>
        During 2018, CREA-PB started the creation of an investment database, in
collaboration with Regions, collecting information useful for the selection of
interventions to be funded by investment programs stated by Budget Law 2018
        <xref ref-type="bibr" rid="ref5">(GU
2017, L 205)</xref>
        , with prevalent issues of irrigation (including multi-purpose reservoirs)
or aimed to defend territory and agriculture from hydrogeological damages.
      </p>
      <p>For reported projects, the level of planning, the compliance with Water Framework
Directive (WFD) objectives and the intervention priority assigned by the Regions, has
been requested at least.</p>
      <p>However, these beginning information was not exhaustive for the wider issue
dealing with the management of the several funding lines, and the correlated different
type of investments. It became evident the necessity of a new structure, able to respond
at the needing of all the funds in every phases of financing activities. Consequently,
CREA-PB developed the National Database of Investments for Irrigation and
Environment (DANIA). Stakeholders’ feedbacks were considered in setting the
structure. At first, the new relational database was implemented in Microsoft Access.
Currently the online version of DANIA has been developed by CREA-PB
(http://dania.crea.gov.it/), implemented on SQL server using Microsoft MVC
technology. Web application will allow the Regions and the Irrigation Agencies (as
implementing actors of the interventions, see fig. 1) to update online their information.
The database will be accessible for consultation also to the Ministries and the River
Basin District Authorities. CREA-PB is administrator user.</p>
      <p>DANIA information is grouped into four sections (fig. 2), each of them is composed
by one or more subsections.</p>
      <p>Section I - project master data, groups general data of project, included the status
(planned or funded).</p>
      <p>Section II- intervention characterization, contains four subsections.</p>
      <p>Subsection II-A contains the level of authorization acquired and the project progress
status (feasibility, executive, …) to know if a project is ready to the realization.</p>
      <p>Subsection II-B includes the intervention description with reference to type of
intervention, prevailing purpose, type of works, WFD objectives and other information
(fig. 2).</p>
      <p>Subsection II-C includes the sensitive environment elements of intervention area,
as hydrogeological and seismic hazards, vulnerability to desertification.</p>
      <p>Subsection II-D deals with the strategic level of the intervention, namely the
priorities assigned to the intervention at regional and River basin district level and
consistency with the River Basin Management Plan (RBMP).</p>
      <p>Section III - financial data, allows to keep track of the project amounts and funded
amounts.</p>
      <p>Section IV- monitoring data, contains geographical reference data (including
SIGRIAN code of intervention area and WISE code of the involved water body) and
dimensional data of intervention (extension of network, number of measurers, water
volumes involved, area moving to higher efficiency, etc).
3 Results and discussions: multi-functionality and interoperability
features.</p>
      <p>Currently, DANIA contains data related to about 1800 projects, referred to 224
irrigation agencies. Project amount resulted for about 12 € billion, of which about to
9 € billion is related to planned projects and the remaining related to recently funded
projects. However, the data are continuously updated. Figure 3 schemed DANIA’s
numbers grouped for Regions at the end of 2019.</p>
      <p>DANIA responds to the features of a multi-functional database since it is open at
several public administrations involved in planning irrigation investments and territory
defense at different geographical scales and institutional level. The first degree of
multi-functionality stands in the possibility for each user type to employ DANIA for
its specific purpose, starting from information on irrigation investments of its own
competence. Moreover, DANIA makes available for national, regional and District
Authorities, always up to date information useful for their own programming, without
the necessity of periodic reconnaissance.</p>
      <p>At national level, DANIA is a DSS to be use in different phases of the
decisionmaking process for collective irrigation investments.</p>
      <p>As first, in planning and programming phase the data, particularly those in
Subsection II-B, allow to classify the interventions according to the implementation
status, the purpose of the intervention, and the priority level. Selection according to
the different funds aims may be based on this information and classification. Figure 4
shows some selection procedure based on DANIA data.</p>
      <p>During the life of the project, several financing steps occur. Storing this information
allows investigations on the progress of the single project but also the evaluation of
spending capacity of funds allocated to Regions and actuators, in order to identify
critical issues, or define the opportunities for future additional funding.</p>
      <p>Finally, monitoring activities may support the assessment of investment policies’
effectiveness. Information in the Section IV has been recently employed to calculate
the indicators in the NRDP evaluation (table 1).</p>
      <p>
        Several connections with other National database are included in DANIA’s
structure. Since the individual databases are designed to store specific dataset, many
challenges arise when they interoperate with each other
        <xref ref-type="bibr" rid="ref7">(Trinh et al., 2007)</xref>
        . Through
the unique project code (CUP), DANIA’s projects can be track down within the Public
Administration database of Public Works (BDAP), that is aimed at gathering all the
information about the expenditure cycle of public works.
      </p>
      <p>
        Another important connection is driven by Water Information System for Europe
code (WISE) of the water body interested by the intervention. WISE is the European
reporting information system relate to WFD implementation. The Italian node of
WISE system is represented by the National Information System for Protection of the
Italian waters, SINTAI
        <xref ref-type="bibr" rid="ref1">(Cocchi and Alfò, 2013)</xref>
        . WISE code allows the policy makers
to know quality state of surface water and groundwater bodies involved in the projects.
Furthermore, it is possible to link the investment realized and planning for each water
bodies to the structural measures included in the Rural Basin Management Plans
(RBMP). This allows to verify the interventions financed in application of current
RBMP for agricultural sector and to know planned investment that could be included
in the updating of RBMPs for the next WFD planning cycle (2021-2027).
      </p>
      <p>
        Finally, DANIA collects identification keys from webgis SIGRIAN, related to
Irrigation Agencies, districts and water schemes, allowing a first localization of the
project. SIGRIAN, is the Italian national database of reference for all the
infrastructural and management data of the national irrigation system, including
monitoring of irrigation water volumes
        <xref ref-type="bibr" rid="ref8">(Zucaro et al., 2019)</xref>
        , useful for the fulfilment
of obligations set by the ex-ante conditionality related to the EU Rural Development
Policy
        <xref ref-type="bibr" rid="ref10 ref9">(Zucaro et al., 2017a)</xref>
        . The identification keys make DANIA and SIGRIAN
coordinated and complementary database systems for the decision makers, even
because, as set by MiPAAF, the compliance to obligations of metering and monitoring
irrigation volumes are both precondition for financing investments and obligations for
project funded. Furthermore, combining DANIA and SIGRIAN data can support the
evaluation of water distribution efficiency for irrigation use. Indeed, comparing the
water volumes abstracted and used, as implemented in SIGRIAN
        <xref ref-type="bibr" rid="ref8">(Zucaro et al., 2019)</xref>
        ,
it could be possible to identify any significant losses of the distribution network; this
can be used as a selection key for projects stored in DANIA to find possible
investments to be implemented in order to reduce water losses and improve the
resilience of the irrigation system in the frame of climate change
        <xref ref-type="bibr" rid="ref10 ref9">(Zucaro et. al.,
2017b)</xref>
        .
      </p>
      <p>DANIA contains a constantly update data on planned and financed interventions
implemented by irrigation agencies, shared among all Italian actors of irrigation
management from national to local level. Its applications confirmed the common
conviction among the agricultural development economics researchers of the huge
importance of database for agricultural policy. By means of its multi-functionality and
interoperability, DANIA promises to be a useful DSS for the Italian policies of the
sector, also highlighting synergies and complementary of the various financed
interventions and investments. Together with SIGRIAN, they are emerging as an
essential element of the same information system for the investment policies aimed at
reducing risks in agriculture, both in relation to water scarcity and hydrogeologic
instability.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Cocchi</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Alfò</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2013</year>
          ).
          <source>Official Environmental Statistical Information in Italy. Statistica</source>
          ,
          <volume>73</volume>
          (
          <issue>1</issue>
          ),
          <fpage>5</fpage>
          -
          <lpage>21</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Daidone</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Anríquez</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          (
          <year>2011</year>
          ).
          <article-title>An extended cross-country database for agricultural investment and capital (No. 289005). Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3. EU, (
          <year>2000</year>
          ).
          <source>Directive</source>
          <year>2000</year>
          /
          <article-title>60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy</article-title>
          ,
          <source>OJ L 327</source>
          ,
          <year>22</year>
          .
          <fpage>12</fpage>
          .2000
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4. EU, (
          <year>2007</year>
          ).
          <article-title>Communication the European Commission “Addressing the challenge of water scarcity and droughts" [COM(</article-title>
          <year>2007</year>
          )414].
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5. GU, (
          <year>2017</year>
          ).
          <article-title>LEGGE 27 dicembre 2017, n. 205 Bilancio di previsione dello Stato per l'anno finanziario 2018 e bilancio pluriennale per il triennio 2018-2020</article-title>
          .
          <article-title>(17G00222) (GU Serie Generale n</article-title>
          .
          <source>302 del 29-12-2017 - Suppl. Ordinario n. 62)</source>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>INSPIRE</surname>
          </string-name>
          (
          <year>2007</year>
          ).
          <source>Directive</source>
          <year>2007</year>
          /
          <article-title>2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Trinh</surname>
            ,
            <given-names>Q.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Barker</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Alhajj</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          (
          <year>2007</year>
          ).
          <article-title>Semantic interoperability between relational database systems</article-title>
          .
          <source>In 11th International Database Engineering and Applications Symposium (IDEAS</source>
          <year>2007</year>
          )
          <article-title>(pp</article-title>
          .
          <fpage>208</fpage>
          -
          <lpage>215</lpage>
          ). IEEE.
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Zucaro</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ferrigno</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Manganiello</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          , (
          <year>2019</year>
          ).
          <article-title>Italian approach to quantify water for irrigation</article-title>
          .
          <source>In 11th World Congress on Water Resources and Environment (EWRA</source>
          <year>2019</year>
          )
          <article-title>“Managing Water Resources for a Sustainable Future”</article-title>
          ,
          <fpage>25</fpage>
          -
          <lpage>29</lpage>
          June 2019, Madrid, Spain © European Water Resources Association.
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Zucaro</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Giannerini</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pepe</surname>
            ,
            <given-names>A. G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tascone</surname>
            ,
            <given-names>F. L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Martello</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2017a</year>
          ).
          <article-title>Water Data Sharing in Italy with SIGRIAN WebGIS Platform</article-title>
          .
          <source>In International Conference on Information and Communication Technologies in Agriculture, Food &amp; Environment</source>
          (pp.
          <fpage>110</fpage>
          -
          <lpage>117</lpage>
          ). Springer, Cham.
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Zucaro</surname>
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Antinoro</surname>
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Giannerini</surname>
            <given-names>G.</given-names>
          </string-name>
          ,
          <article-title>(2017b). Characterization of drought in Italy applying the Reconnaissance Drought Index</article-title>
          .
          <source>In European Water</source>
          <volume>60</volume>
          :
          <fpage>313</fpage>
          -
          <lpage>318</lpage>
          ,
          <year>2017</year>
          (ISSN 1105-7580)
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>