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        <title type="main" level="a">An integrated approach for marine litter hot spots identification</title>
        <author>
          <persName n="1">
            <forename>Claudia</forename>
            <surname>Farris</surname>
            <placeName type="affiliation">ARPA FVG, Italy</placeName>
          </persName>
          <persName n="2">
            <forename>Dario</forename>
            <surname>Giaiotti</surname>
            <placeName type="affiliation">ARPA FVG, Italy</placeName>
          </persName>
          <persName n="3">
            <forename>Stefano</forename>
            <surname>Miniussi</surname>
            <placeName type="affiliation">ARPA FVG, Italy</placeName>
          </persName>
          <persName n="4">
            <forename>Cristina</forename>
            <surname>Sgubin</surname>
            <placeName type="affiliation">ARPA FVG, Italy</placeName>
          </persName>
          <persName n="5">
            <forename>Nicolò</forename>
            <surname>Tudorov</surname>
            <placeName type="affiliation">ARPA FVG, Italy</placeName>
          </persName>
        </author>
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          <resp>This is a section of <title>Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”</title>(DOI: <idno type="DOI">10.36253/979-12-215-0030-1</idno>) by </resp>
          <name>Laura Bonora, Donatella Carboni, Matteo De Vincenzi, Giorgio Matteucci</name>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Firenze</pubPlace>
        <date when="2022">2022</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-0030-1.20</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">
            <p>Content licence CC BY-NC-SA 4.0</p>
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          <licence source="metadata" target="https://creativecommons.org/publicdomain/zero/1.0/legalcode">
            <p>Metadata licence CC0 1.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>Marine litter is defined as any persistent, manufactured or processed solid material discarded, disposed of or abandoned in the marine and coastal environment, and it is among the most important environmental problems which are affecting the sea nowadays. In this work, we present an integrated approach to the marine litter hot spots identification. The results come from a coordinate activity of filed campaigns, satellite monitoring and numerical model simulations. The method has been applied on the Adriatic basin as part of the MARLESS INTERREG IT-HR project.</p>
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        <keywords>
          <list>
            <item>Marine Litter</item>
            <item>Numerical Simulations</item>
            <item>Lagrangian models</item>
            <item>Satellite imagery</item>
            <item>Spectral signature</item>
            <item>Hot spots</item>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-0030-1.20<ref target="https://doi.org/10.36253/979-12-215-0030-1.20" /></p>
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          <head>References</head>
          <bibl n="102622">MARLESS INTERREG IT-HR project official website https://www.italy-croatia.eu/web/marless</bibl>
          <bibl n="102672">NOAA PyGnome dispersion model https://github.com/NOAA-ORR-ERD/PyGnome</bibl>
          <bibl n="102564">PARCELS (Probably A Really Computationally Efficient Lagrangian Simulator) https://oceanparcels.org/</bibl>
          <bibl n="102588">ESA Sentinel 2 mission details https://sentinel.esa.int/documents/247904/349490/s2_sp-1322_2.pdf</bibl>
          <bibl n="102257">
            <bibl>E. van Sebille and et al. (2020) - The physical oceanography of the transport of floating marine debris, Environmental Research Letters, Volume 15.</bibl>
            <idno type="DOI">10.1088/1748-9326/ab6d7d</idno>
          </bibl>
          <bibl n="102120">NOAA (2022) - The Gnome modelling suite, https://response.restoration.noaa.gov/oil-and-chemical-spills/oil-spills/response-tools/gnome-suite-oil-spill-modeling.html</bibl>
          <bibl n="102637">NOAA (2022) - The PyGnome software, https://response.restoration.noaa.gov/pygnome</bibl>
          <bibl n="102098">
            <bibl>Biermann, L.; Clewley, D.; Martinez-Vicente, V.; Topouzelis, K. (2020) - Finding plastic patches in coastal waters using optical satellite data. Sci. Rep., 10, 53–64.</bibl>
            <idno type="DOI">10.1038/s41598-020-62298-z</idno>
          </bibl>
          <bibl n="102525">
            <bibl>Maximenko N., et al.;(2019) - Toward the Integrated Marine Debris Observing System. Front. Mar. Sci. 6:447.</bibl>
            <idno type="DOI">10.3389/fmars.2019.00447</idno>
          </bibl>
          <bibl n="101883">
            <bibl>Themistocleous, K., Papoutsa, C., Michaelides, S., Hadjimitsis, D., (2020). Investigating Detection of Floating Plastic Litter From Space Using Sentinel-2 Imagery. Remote Sens. 12, 2648-2668</bibl>
            <idno type="DOI">10.3390/rs12162648</idno>
          </bibl>
          <bibl n="101705">
            <bibl>Topouzelis, K., Papakonstantinou, A., Garaba, S.P., (2019) - Detection of floating plastics from satellite and unmanned aerial systems (Plastic Litter Project 2018). Int. J. Appl. Earth Obs. Geoinf. 79, 175–183.</bibl>
            <idno type="DOI">10.1016/j.jag.2019.03.011</idno>
          </bibl>
          <bibl n="101566">Topouzelis, K., Papageorgiou, D., Karagaitanakis, A., (2020) - Remote Sensing of Sea Surface Artificial Floating Plastic Targets With Sentinel-2 and Unmanned Aerial Systems (Plastic Litter Project 2019).  Remote Sens., 12, 2013-2029.</bibl>
          <bibl n="102646">ESA Sentinel 2 Mission https://sentinel.esa.int/web/sentinel/missions/sentinel-2</bibl>
          <bibl n="102472">ESA Sentinel 2 onboard devices https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/msi-instrument</bibl>
          <bibl n="101777">
            <bibl>Kaandorp M. L. A., Dijkstra H. A., van Sebille E. (2020), Closing the Mediterranean marine floating plastic mass budget: inverse modeling of sources and sinks Environ. Sci. Technol., 54, 19, 11980–11989</bibl>
            <idno type="DOI">10.1021/acs.est.0c01984</idno>
          </bibl>
          <bibl n="102198">
            <bibl>V. Onink and et al. (2021), Global simulations of marine plastic transport show plastic trapping in coastal zones, Environmental Research Letters, Volume 16</bibl>
            <idno type="DOI">10.3390/rs12122013</idno>
          </bibl>
          <bibl n="102697">PARCELS MODEL: https://oceanparcels.org/</bibl>
          <bibl n="102583">Full with at half maximum definition https://en.wikipedia.org/wiki/Full_width_at_half_maximum</bibl>
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