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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>ORCID:</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Drought Assessment in Nestos River Basin (N. Greece) for the Period 1955-2018</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Nikolaos D. Proutsos</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dimitris Tigkas</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Irida Tsevreni</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Magdalini Tsevreni</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Alkmanos</institution>
          ,
          <addr-line>11528 Athens</addr-line>
          ,
          <country country="GR">Greece</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Centre for the Assessment of Natural Hazards and Proactive Planning &amp; Laboratory of Reclamation Works</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Department of Early Childhood Education, University of Thessaly</institution>
          ,
          <addr-line>Volos</addr-line>
          ,
          <country country="GR">Greece</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Hellenic Agricultural Organization “DEMETER”, Institute of Mediterranean Forest Ecosystems</institution>
          ,
          <addr-line>Terma</addr-line>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>National Centre for Social Research</institution>
          ,
          <addr-line>9 Kratinou &amp; Athinas st., 105 52 Athens</addr-line>
          ,
          <country country="GR">Greece</country>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>SPI</institution>
          ,
          <addr-line>drought, Nestos, Mesta, trends, Mann-Kendall, Sen slope, DrinC software</addr-line>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution>and Water Resources Management, School of Rural and Surveying Engineering, National Technical University</institution>
        </aff>
        <aff id="aff7">
          <label>7</label>
          <institution>of Athens</institution>
          ,
          <addr-line>9 Iroon Polytechneiou, 15780 Athens</addr-line>
          ,
          <country country="GR">Greece</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2001</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>Drought is a significant meteorological phenomenon that can seriously impact natural ecosystems. Drought assessment and monitoring should be continuous in regions of high ecological importance, for the conservation of natural vegetation distribution and dynamics. In this study, we analyzed monthly precipitation data obtained from five meteorological stations in the Nestos' river sub-basin in Greece in order to detect drought episodes during the period 1955-2018 by employing the Standardized Precipitation Index (SPI). The results indicate that the coastal and altitudinal lower areas of the region faced more frequent and more severe drought events during the recent years compared to the past, whereas the climatic conditions From the trend analysis of the SPI it appears that the lower part of the sub-basin is anticipated to face even more droughts in the future. These patterns may have significant impacts on the natural rainfed vegetation, especially at the river's Delta where habitat types of high priority are located. Thus, the need to adopt measures for the conservation of the local ecosystem is critical, considering also that the local habitat types are characterized by high demands for water availability.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        The Mediterranean basin includes diverse types of habitats and it is considered a biodiversity hotspot
[
        <xref ref-type="bibr" rid="ref3 ref4">1,2</xref>
        ], due to the combination of climate conditions and the variety of geographical and topographical
features of the region. Climate shifts and extreme events, such as droughts, in this area may lead to
alterations of the ecological balance and cause pressures to human activities. Many studies have
identified trends, especially in precipitation timeseries [
        <xref ref-type="bibr" rid="ref10 ref11 ref5 ref6 ref7 ref8 ref9">3-9</xref>
        ], as well as in drought patterns [
        <xref ref-type="bibr" rid="ref12 ref13 ref14 ref15">10-13</xref>
        ],
indicating a tendency to drier conditions [
        <xref ref-type="bibr" rid="ref16 ref17">14,15</xref>
        ] in various areas within the Mediterranean region. The
efficient management of drought risks is essential for compensating the impacts of droughts on several
sectors, including the economy, the societies and the environment. To this end, proper understanding,
identification and monitoring of drought characteristics is essential, especially in economically and
ecologically important and vulnerable regions. Additionally, year to year drought conditions is critical
      </p>
      <p>
        2022 Copyright for this paper by its authors.
to be monitored for assessing the effects on the sustainability of the natural rainfed ecosystems [
        <xref ref-type="bibr" rid="ref18">16</xref>
        ], as
decreased precipitation and droughts have a strong impact on plants’ growth dynamics [
        <xref ref-type="bibr" rid="ref19 ref20">17,18</xref>
        ].
      </p>
      <p>
        Nestos is a transboundary river, shared between Bulgaria and Greece. The river delta, which is
located in the Greek sub-basin, is considered as of high ecological significance. Many parts of the basin,
including Nestos’ Delta, have been declared as Natura 2000 protected sites. Especially the river’s Delta
hosts a variety of priority habitats that require high water availability in order to be sustainable.
Therefore, drought monitoring is crucial in this region, considering also that the hydrological regime of
Nestos river is rather sensitive to drought episodes [
        <xref ref-type="bibr" rid="ref21">19</xref>
        ]. Furthermore, drought analyses using proper
tools, such as drought indices, is important for indicating appropriate management measures in
transboundary rivers [20].
      </p>
      <p>The present study is based on previous studies by Proutsos et al. [21,22] that analyzed the
precipitation trends in the Greek part of Nestos river and assessed the changes occurred since the 1950s.
In this work, the drought conditions of this region are evaluated, analyzing the annual changes of the
SPI drought index and assessing the spatial variability in the basin.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Study Site and Climatic Data</title>
      <p>
        The geophysical pattern of the study area, which includes the Greek sub-basin of Nestos river, is
presented in Figure 1. Details about the characteristics and information concerning the high ecological
importance of the area can be found in Proutsos et al. [
        <xref ref-type="bibr" rid="ref2">21-23</xref>
        ].
      </p>
      <p>
        The climate of the area is humid [
        <xref ref-type="bibr" rid="ref17">15,24</xref>
        ] according to UNEP’s [25] aridity classification system
based on Thornthwaite’s [26] water balance approach, whereas the recent precipitation trends [21,22]
indicate significant reduction in the coastal areas of the region, but also precipitation increase in the
mountainous part of the basin with high seasonal variability [21]. The changing trends are more rapid
at the current climatic period [22].
      </p>
      <p>In this work, we assessed the drought conditions for the Greek part of the basin. Monthly
precipitation data series, obtained from five long-operating meteorological stations, were analyzed for
the period 1955-2018, on a hydrological year basis. The specific characteristics of the meteorological
stations are presented in Table 1. The drought assessment was performed by employing the widely used
Standardized Precipitation Index (SPI) [27], using DrinC software [28, 29]. The index is based solely
on precipitation data and can be applied for several timesteps. In this study, the annual timestep of the
hydrological year (October to September) was adopted, an approach that is considered suitable for
assessing drought impacts on water availability [30,31]. SPI values classify the adopted time period of
each year to one of the following eight classes (four wet and four dry): extreme drought (SPI≤-2.0),
severe drought (-2.0&lt;SPI≤-1.5), moderate drought (-1.5&lt;SPI≤-1.0), mild drought (-1.0&lt;SPI≤-0.5), near
normal (-0.5&lt;SPI≤0.5), mildly wet (0.5&lt;SPI≤1.0), moderately wet (1.0&lt;SPI≤1.5), severely wet
(1.5&lt;SPI≤2.0), and extremely wet (SPI&gt;2.0).</p>
      <p>
        To detect possible trends of the annual SPI, the Mann-Kendall test was applied [
        <xref ref-type="bibr" rid="ref1">32,33</xref>
        ] and the trend
slopes were estimated by the Sen’s slope method [34]. These methods are widely used and are
considered reliable in hydrological and climatic trend analysis [
        <xref ref-type="bibr" rid="ref8">6,21,35-37</xref>
        ]. For the trend detections,
the evaluation of their significance and the calculation of their magnitudes, the MAKESENS 1.0
software was applied [38]. The spatial patterns presented in this work were developed by the application
of the Kriging’s interpolation technique, where the unknown SPI slope values at all points across a
defined spatial domain are estimated using a weighted average of all known values around the point
[39].
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Results and Discussion</title>
      <p>The annual values of the SPI, based on the precipitation data of the five meteorological stations, are
presented in Figure 2. The annual SPIs clearly indicate that the altitudinal lower coastal areas (KAV
and XAN stations) of the region, located at the lower part of the basin, experience more intense and
more frequent extreme or severe drought events during the recent years (after 1990). On the contrary,
at the altitudinal higher positions (MES and PRA stations) the drought events were more frequent and
intense in the previous decade (1980s), whereas at the mountainous areas (SID station) no extreme
droughts were detected.</p>
      <p>More specifically, for KAV station, 1998-1999 and 2003-2004 were hydrological years of extreme
drought, 1996-1997 and 2001-2002 years of severe drought and 1994-1995, 1995-1996, 1997-1998,
2000-2001 and 2002-2003 years of moderate drought. The most severe drought in KAV occurred in
1998-1999, when SPI was -2.2.</p>
      <p>XAN faced no extreme drought events, however 1998-1999, 1999-2000 and 2001-2002 were years
of severe droughts. The most severe drought year was 1999-2000 (SPI=-1.8).</p>
      <p>In MES and PRA, 1984-1985 and 1988-1989 were extreme drought years. Severe droughts were
recorded in 1973-1974 and 1992-1993 and moderate droughts in 1989-1990, 1993-1994 and 2016-2017
for PRA station. Also, moderate drought was identified during the years 1967-1968, 1986-1987,
19891990, 1991-1992, 1992-1993, 1993-1994 and 2000-2001 for MES station. The most extreme drought
years were 1988-1989 for MES (SPI=-2.3) and 1984-1985 for PRA (SPI=-2.5).</p>
      <p>For SID station, no extreme droughts were identified. However, 1977-1978, 1980-1981 and
19921993 were years of severe drought and 1975-1976, 1976-1977, 1984-1985 and 1991-1992, were years
of moderate drought. With regard to the available data, 1977-1978 was the year with the most stressful
conditions (SPI=-1.7).</p>
      <p>Considering the years with the highest negative values in each station, i.e. 1998-1999 for KAV,
3.0
2.0
1.0
0.0
-1.0
-2.0
-3.0
1999-2000 for XAN, 1988-1989 for MES, 1984-1985 for PRA and 1977-1978 for SID, the spatial
patterns of Figure 3 were produced. These patternsconfirm that in the recent years the coastal areas of
the basin faced drier conditions compared to the past, whereas the mountainous regions faced more
severe drought events in the past, but not during the recent years.</p>
      <p>12-month SPI (Oct-Sep): KAV</p>
      <p>Extremedrought
Severedrought
Moderatedrought
Milddrought
6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8
5 5 6 6 6 6 6 7 7 7 7 7 8 8 8 8 8 9 9 9 9 9 0 0 0 0 0 1 1 1 1 1
-19155 -19157 -19159 -19116 -19136 -91561 -19176 -19196 -19117 -19137 -19157 -19177 -19197 -19118 -19138 -19158 -19178 -19198 -19119 -19139 -19159 -19179 -20991 -22010 -22030 -22050 -20702 -22090 -22011 -22031 -22051 -22071
9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 0 0 0 0 0 0 0 0 0
Figure2:AnnualvaluesoftheSPIindexfortheoperatingperiodofthefivemeteorologicalstationsin
Nestos’riversub-basin.</p>
      <p>The trend analysis of the SPI values produced the pattern depicted in Figure 4, which indicates that
SPI presents negative and strong decreasing trends in the low altitude coastal areas, whereas at the
mountainous areas of the basin the conditions are more wet, however these latest positive trends are not
significant. These changes are anticipated to cause problem to the local high priority habitats that are
located at the lower part of the basin, since they are highly vulnerable in the changes of precipitation.
Such high water demanding ecosystems, are considered of high risk and require interventions to ensure
that they have the necessary water quantities in order to be sustained.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusions</title>
      <p>In this work, a drought assessment was performed for the Nestos’ river sub-basin in N. Greece. The
region hosts a variety of significant habitats that require high water availability in order to be preserved.
The precipitation changes can highly affect the vegetation patterns in the region, thus the continuous
monitoring of drought is necessary. From the results of this study, it is indicated that the altitudinal
lower coastal part of the basin is at high risk and faces, in the recent years, more severe and frequent
drought events compared to the past. The western coastal areas are even more vulnerable. On the other
hand, the climatic conditions appear to be more favorable nowadays, compared to the past, in terms of
drought frequency and severity. This is expected to favor the existing mountainous ecosystems.
However, specific measures should be undertaken to conserve the highly valuable coastal ecosystem
and conserve the priority habits of the coastal zone. Such interventions should be assisted by the
operation of the existing uphill dams and impose the continuous co-operation of the stakeholders from
Greece and Bulgaria and the implementation of common strategies in order to achieve the ecological
goals.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Acknowledgements</title>
      <p>This work is financially supported by the project “Bioclima and natural vegetation in Greece” which
is financed by the Hellenic Agricultural Organization “DEMETER”. The climate data for the KAV and
XAN stations were kindly provided by the Hellenic National Meteorological Service (HNMS). The
authors also express their gratitude to the Public Power Corporation S.A. (DEH) and especially to Mrs.
Kreouza Mangina, Acting Head of Hydrology Sector of the Hydro-Electric Projects'
EngineeringConstruction Department of DEH, for supporting this research by providing the climate data for MES,
PRA and SID stations.</p>
    </sec>
    <sec id="sec-6">
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