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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The use of remote sensing data for estimation of the anthropogenic load on the coastal areas of the Crimea in 2017-2019</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Tatiana Shul'ga</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Liudmila Verzhevskaia</string-name>
          <email>ludmyla.ver@mhi-ras.ru</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alesya Medvedeva</string-name>
          <email>shift@mail.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Remote Sensing, Methods of Research, Marine Hydrophysical Institute, Russian Academy of Sciences</institution>
          ,
          <addr-line>Sevastopol</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Shelf Hydrophysics Department, Marine Hydrophysical Institute, Russian Academy of Sciences</institution>
          ,
          <addr-line>Sevastopol</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>1998</year>
      </pub-date>
      <fpage>70</fpage>
      <lpage>73</lpage>
      <abstract>
        <p>-The paper discusses spatial distribution of suspended matter in the southwestern Crimean coast of the Black Sea according to high-resolution satellite data from Sentinel-2 MSI scanner and medium-resolution satellite data from MODIS Aqua and Terra in 2017-2019. Spatial and temporal evolution and wind transport of suspended matter are studied along with their contribution to the anthropogenic load of the coastal areas. Satellite observation data are compared with long-term annual mean data on the concentration of suspended matter from 1998 to 2018. The analysis of remote sensing data helped identify the areas with the highest values of bio-optical indices, which are consistent with the location of the river mouths and municipal sewage pipes.</p>
      </abstract>
      <kwd-group>
        <kwd>Crimea</kwd>
        <kwd>coast</kwd>
        <kwd>satellite data</kwd>
        <kwd>water pollution</kwd>
        <kwd>biooptical index</kwd>
        <kwd>suspended matter</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>I. INTRODUCTION</title>
    </sec>
    <sec id="sec-2">
      <title>The Black Sea is an internal basin largely dependent on its</title>
      <p>
        catchment area of 2 million km2 including the territories of 20
states of Europe and Asia Minor. The effect of the continental
waters is the most noticeable in the northwestern shelf of the
Black Sea, where the Danube, Dniester, Dnieper and Southern
Bug flow into the sea with a total catchment area
of 1.46 million km2 [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. The cities and industrial centers
located along the shores put high anthropogenic pressure on
the coastal waters due to the pollutants entering the sea with
liquid effluents, solid waste, and precipitation. Estimates of
the level of anthropogenic load on the Black Sea coast as a
result of the economic development were proposed in [
        <xref ref-type="bibr" rid="ref2 ref3">2, 3</xref>
        ].
The current environmental state of the groundwater intakes of
the Crimea, local rivers, and adjacent sea areas was considered
in [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. This paper investigates the spatial and temporal
evolution of water areas with high suspended matter content
based on the analysis of remote sensing data.
      </p>
    </sec>
    <sec id="sec-3">
      <title>II. DATA AND METHODS</title>
    </sec>
    <sec id="sec-4">
      <title>The study area is at the northwestern shelf of the Black Sea</title>
      <p>and includes the southwestern part of the Crimean coast
adjacent to Sevastopol – constituent territory of the Russian
Federation. This area follows the coastline along the west,
southwest, and south of the Crimea, including successively
Kalamitskiy Bay, the northern side of Sevastopol,
the Heracleian Peninsula, and the Southern coast of the
Crimea up to Foros (Fig. 1). To the north of the Heracleian
Peninsula, the Kacha, Belbek, Alma, and Chernaya rivers flow
into the Black Sea bringing in the pollutants. In addition, along
the entire coast, there are pipes of centralized municipal waste
water discharge. The coastal area under study also gets the
anthropogenic pressure from numerous unauthorized waste
water discharges of illegal tourist sites. The recreational
importance of the region emphasizes the relevance of the
choice of the study area.</p>
      <p>To implement the approach based on the analysis
of satellite images, we used the data of Sentinel-2 MSI optical
scanner from the open archives of the European Space Agency
available on the Copernicus Open Access Hub portal
(https://scihub.copernicus.eu/dhus/#/home). These data
include visible channels (490–665 nm) with a 10-meter spatial
resolution and near infrared channels (705 nm) with a
20meter resolution. First, among the images for 2017–2019,
those with no or minimal cloud cover above the coastal zone
were selected, then the data were decrypted using SNAP
Desktop software. In the selected satellite archives,
the suspended matter was detected by a combination of
channels: B02 (Blue) – 490 nm, B03 (Green) – 560 nm and
B05 (Vegetation red edge) – 705 nm. Then, the values of
remote sensing reflectance (Rrs(λ) at a wavelength λ) were
extracted for each pixel and transferred to a model grid using
the Panoply application.</p>
    </sec>
    <sec id="sec-5">
      <title>Primary hydrooptical characteristics obtained from</title>
      <p>
        NASA Ocean Color (http://oceancolor.gsfc.nasa.gov) were
also used for analysis. These data are standard MODIS L2
products with a spatial resolution of kilometer. Part of them
were previously rejected according to the criteria listed in [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ].
In case of partial or complete absence of images, the
MODISAqua datasets were supplemented by MODIS-Terra.
      </p>
      <sec id="sec-5-1">
        <title>Atmospheric Reanalysis Data</title>
        <p>
          Local wind situation plays an important role in the
transport of anthropogenic pollution. In the framework of this
study, statistical analysis of the time series of wind speed and
direction for the period 2017–2019 was carried out, based on
the data from the SKIRON regional atmospheric reanalysis
(http://forecast.uoa.gr). The version of the atmospheric
model used is a 72-hour forecast of meteorological
parameters for the Azov-Black Sea and Mediterranean basins
with a time step of 2 hours and a horizontal resolution of 0.1°,
which was created at the University of Athens based on the
assimilation of meteorological observations [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ].
        </p>
        <p>The prevailing wind directions in the study area were
determined as well as the frequency of their wind speed in
different years and seasons during the study period. For the
entire region under study and separate points corresponding
to river mouths and municipal effluents, mean wind speed
and direction were determined. Vectors in Fig. 3–5 show the
results of the wind speed averaging over the two days before
the date of the shot. These values were also averaged over
space in three latitudinal ranges: (1) 44°–4.5°N;
(2) 44.5°–45°N; (3) 45°–45.7°N, – and summarize the data
on wind direction and speed for the sections of the coast near
major cities: Saki, Sevastopol and Yalta.</p>
      </sec>
      <sec id="sec-5-2">
        <title>Approach to determining the bio-optical features of the Black Sea in the study area</title>
        <p>
          Satellite observation data were converted into spatial
distribution maps of the bio-optical indices index and bbp on
a model grid with a resolution of ~ 300 m at the shelf of the
southwestern part of the Crimean coast
(http://www.gebco.net). The dimensionless index
characterizes total concentration of the living and nonliving
components of organic matter in sea water [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ] and represents
the ratio of the remote sensing reflectance of the sea.
According to the optical data of Sentinel-2 MSI,
index23 = [Rrs(560)‧ Fo(560)]/[Rrs(490)‧ Fo(490)] was
calculated, and according to MODIS data,
index34 = [Rrs(531)‧ Fo(531)]/[Rrs(488)‧ Fo(488)], where
Fo(λ) is the solar constant for a wavelength λ [
          <xref ref-type="bibr" rid="ref2">2</xref>
          ]. Index bbp
(m–1) is the index of backscattering by particles of
suspension; it was also calculated at different wavelengths
according to high resolution data. Index bbp was calculated at
a wavelength of 560 nm for the MSI Sentinel-2 data, and at a
wavelength of 555 nm for MODIS data based on the formula
bbp(λ) = {6,76‧ LWN(λ) + 0,03‧ [LWN(М)]3 +
3,4‧ LWN(λ)‧ [I]3,8–0,84}‧ 10–3, here LWN(λ) = Rrs(λ)‧ Fo(λ)
(mW‧ sm–2 nm–1‧ sr–1) and I=LWN(λ)/LWN(λ) [
          <xref ref-type="bibr" rid="ref5">5</xref>
          ].
        </p>
        <p>Consider the criterion for determining the boundary of the
area using the satellite data. A total of 268 images were
processed, of which the most regular data were from May to
September (116 images). The boundary of the polluted area
from the satellite data was determined by the minimum
values of the color indices index and bbp. The criterion for
determining the boundary of the area includes several stages.
At the first stage, spatial maps of color indices for the entire
study period 2017–2019 were constructed on a model grid.
At the second stage, the upper and lower boundaries of the
color indices were determined, since the distribution of index
and bbp in each case lies in different ranges. When comparing
with the satellite images which correspond to the cases of the
most powerful sewage and river flows, the upper bounds for
the indices were obtained: index23 = 2, index34 = 9, and
bbp(560) = bbp (555) = 1 m-1. The upper boundaries
correspond to the real maximum values from the ranges of
the index variability and are driven by the need for correct
data presentation on the maps. The lower boundaries are the
same for all cases and are defined as 2.7% and 2.5% relative
to the upper bounds of the bio-optical indices (index23 =
0.05; index34 = 0.25 and bbp(560) = bbp(555) = 0.025 m-1).</p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>III. RESULTS AND DISCUSSION</title>
    </sec>
    <sec id="sec-7">
      <title>Maps of the bio-optical indices index and bbp were</title>
      <p>constructed based on the satellite data sufficiently covering
the water area under consideration. In order to study the cases
of increased content of suspended matter at the sea surface,
all satellite images for 2017–2019 from Sentinel-2 MSI and
MODIS Aqua/Terra were analyzed. Due to the common
problems of remote sensing (cloud cover), for each year, only
three periods (1–3 days) were selected when the area adjacent
to the southwestern part of the Crimean Black Sea coast was
clearly visible in the optical images. Typical examples of
these events demonstrating the spread of suspended matter in
the study area in 2017–2019, are demonstrated in Fig. 3–5.
They show the optical images obtained from Sentinel-2 for
each date (Fig. 3–5, left panels) and the corresponding time
samples of the index distributions from high and medium
resolution satellite data (Fig. 3–5, central and right panels).</p>
    </sec>
    <sec id="sec-8">
      <title>Cases of the propagation of suspended matter are well</title>
      <p>recognized in both the constructed maps and in the
corresponding satellite images (Fig. 3–5). In particular, there
are cases with a relatively high content of suspended matter
without sharp frontal changes off the western coast of the
Crimea (the Kalamitskiy Bay and part of the area off the
Heracleian Peninsula), and the cases where suspended matter
transports along the southern coast of the Crimea are less
common. As a rule, the narrow southern part of the area 5–20
m above the isobaths, stretches along the southern side of
Sevastopol up to Foros. Note that within the shallow
Kalamitskiy Bay, suspended matter can spread both along the
coast and into the open sea. At the areas adjacent to the
Heracleian Peninsula and the Southern coast of the Crimea,
coastal transport (with clear boundaries) predominates, which
is associated with the presence of temporary wind currents
and the passage of sub-mesoscale eddies.</p>
      <p>Comparing the wind fields obtained using SKIRON
reanalysis data with the maps of bio-optical indices and
satellite images confirms the influence of wind on the
direction of suspended matter transport. Fig. 3–5 show the
wind direction (clockwise from the north), which has the
highest repeatability within the three subregions adjacent to
major cities (Saki, Sevastopol and Yalta). They also show the
average values of wind speed. All the observed suspended
matter transfer cases along the southern coast found in the
satellite imagery occurred either during strong southeast
winds or shortly after them at an average wind speed of 7 m/s.
The prevailing wind direction on the day of satellite sounding
or on the previous day was between 120° and 170°.</p>
      <p>At the same time, high amounts of suspended matter in
the Kalamitskiy Bay were noted under weak wind with a
predominant direction between 135° and 225°.</p>
      <p>
        The values of bio-optical indices, which increase by the
beginning of summer and remain within the limits of their
upper bounds until the beginning of autumn, in many cases
fit well into the existing ideas [
        <xref ref-type="bibr" rid="ref8 ref9">8, 9</xref>
        ]. In 2017 and 2019,
suspended matter spread to the east, and in 2018 west. Note
that during the season, the direction of propagation may
change. Such situation was observed in 2017, when
the eastern direction of suspended matter transport, which
prevailed until mid-August, changed to the western direction
by the end of September. In addition, a feature of 2017 was
the stable position of the border of the area in the central part
of the basin from late June to late July. For each cloudless
satellite image (out of 116 analyzed images), the areas
of regions bounded by the front line were calculated, which
correspond to the 50% value of the upper boundary of the
biooptical index. Examples of the maps obtained for calculating
the areas using Surfer13 and QGIS 3.4 with georeferencing
as in [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] are shown in Fig. 6. Their analysis showed a high
content of suspended matter west of the Heracleian
Peninsula, where such areas covered from 34 and up 564 km2,
compared with their distribution along the Southern coast
of the Crimea with 20 to 43 km2.
      </p>
      <p>A joint analysis of the area with elevated amount of
suspended matter from the satellite images and the
corresponding SKIRON atmospheric reanalysis data (Fig. 3–
5) demonstrates that the cases when the area is the largest
detected on April 27, 2017 (708 km2), September 19, 2018
(1144 km2) and June 18, 2019 (1788 km2), occur under the
prevailing south and southeast winds at a speed of nearly
5 m/s. Satellite images obtained on April 27, 2017 correspond
to the largest area with elevated values of suspended matter
in response to a strong southeast wind (6–8 m/s), which
dominated in the study area from April 22, 2017. Note that
due to the shallow waters of Kalamitskiy Bay, suspended
matter here is also connected with the presence of turbid
seawater. Thus, with the prevailing southeast wind, the region
with a high suspended matter content (1144 km2) in the
Kalamitskiy Bay occupies nearly twice its water area
(504 km2) limited by Cape Yevpatoriysky in the north and by
Cape Lukull in the south.</p>
    </sec>
    <sec id="sec-9">
      <title>IV. CONCLUSION</title>
      <p>The paper shows the possibility of using satellite
observations to detect the cases of suspended matter
distribution in the sea that occur regularly in the coastal areas
of the southwestern Coast of Crimea. Based on the
meteorological and satellite data, the spatial characteristics of
the areas with high suspended matter content in 2017–2019
were studied in relation to the wind action variability. The
analysis of the area in the northwestern shelf of the Black Sea
with high suspended matter content was carried out,
the directions of suspended matter transport were established
depending on the wind regime. Based on the comparison
of atmospheric reanalysis and remote sensing data, it was
revealed that the distribution of turbid waters is directed
mainly along the coast and depends on the strength and
direction of the acting wind. It was found that at the
southwestern coast of the Crimea in 2017 and 2019, the
predominant direction of the coastal suspended matter
transport was east, and in 2018, north-west. To the east of the
Heracleian Peninsula, coastal transport prevails, which is
associated not only with the wind disturbances, but also with
the passage of submesoscale eddies. As a result of the study,
it was found that the greatest anthropogenic load in the
summer of 2017–2019 affected the areas of the river Belbek
mouth and the outfall of the waste water treatment facility
"South" (Sevastopol). The southeast winds in the area of the
Kalamitskiy Bay lead to an increase in the area with a high
suspended matter content up to 1144 km2.</p>
      <p>A detailed study of the influence of wind effects on the
structure and dynamics of pollution in the surface layers
of the Black Sea coast of Crimea requires specific field
measurements, as well as numerical modeling and is included
in the scope of the future work. In further studies, it is
supposed to estimate the magnitude of the displacement
of the boundaries of the pollution and to use, along with
satellite images, the results of three-dimensional
hydrodynamic modeling and in situ measurements data.</p>
    </sec>
    <sec id="sec-10">
      <title>ACKNOWLEDGMENT</title>
    </sec>
    <sec id="sec-11">
      <title>This work was carried out as part of a state assignment №0827-2019-0004 (code “Coastal Studies”), and partially supported by RFBR grants № 17-05-00113 and No. 18-0580025.</title>
    </sec>
  </body>
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