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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ekip</journal-id><journal-title-group><journal-title xml:lang="ru">Экология и промышленность России</journal-title><trans-title-group xml:lang="en"><trans-title>Ecology and Industry of Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-0395</issn><issn pub-type="epub">2413-6042</issn><publisher><publisher-name>ООО "Калвис"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18412/1816-0395-2026-2-46-51</article-id><article-id custom-type="elpub" pub-id-type="custom">ekip-3123</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>НАУЧНЫЕ РАЗРАБОТКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SCIENTIFIC DEVELOPMENTS</subject></subj-group></article-categories><title-group><article-title>Использование спутниковых АИС-данных для оценки выбросов парниковых газов судов в Арктической акватории</article-title><trans-title-group xml:lang="en"><trans-title>Using Satellite AIS-data to Estimate Greenhouse Gas Emissions from Ships in the Arctic Water Area</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Васильева</surname><given-names>Ж. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Vasileva</surname><given-names>Zh. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. техн. наук, заведующая НИЛ "Экоинжиниринг и мониторинг загрязнений Арктической зоны РФ"</p></bio><bio xml:lang="en"><p>Cand. Sci. (Eng.), Associate Professor, Head of the Research Laboratory “Ecoengineering and Pollution Monitoring of the Arctic Zone of the Russian Federation”</p></bio><email xlink:type="simple">podpiska@kalvis.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Васёха</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Vasekha</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д-р техн. наук, заведующий НИЛ арктической логистики ФИЦ</p></bio><bio xml:lang="en"><p>Dr. Sci. (Eng.), Head of the Research Laboratory of Arctic Logistics</p></bio><email xlink:type="simple">ctls@kalvis.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Белухин</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Belukhin</surname><given-names>A. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>мл. науч. сотрудник, НИЛ "Логистика в Арктике"</p></bio><bio xml:lang="en"><p>Junior Research Fellow, Research Institute of Logistics in the Arctic</p></bio><email xlink:type="simple">ctls@kalvis.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Мурманский арктический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Murmansk Arctic University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Кольский научный центр РАН</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kola Scientific Center of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>02</day><month>03</month><year>2026</year></pub-date><volume>30</volume><issue>2</issue><fpage>46</fpage><lpage>51</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; ООО "Калвис", 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">ООО "Калвис"</copyright-holder><copyright-holder xml:lang="en">ООО "Калвис"</copyright-holder><license xlink:href="https://www.ecology-kalvis.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://www.ecology-kalvis.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://www.ecology-kalvis.ru/jour/article/view/3123">https://www.ecology-kalvis.ru/jour/article/view/3123</self-uri><abstract><p>Впервые для оценки экологической нагрузки на арктическую акваторию судов проекта "Новый порт" применена новая методика расчета выбросов парниковых газов с использованием отфильтрованных спутниковых АИС-данных. Отмечено, что тщательная фильтрация сигналов позволяет устранить помехи и дополнить данные, недоступные в высоких широтах без спутникового покрытия, таким образом повышая точность расчетов и обеспечивая более объективную оценку углеродного следа. Полученные результаты могут быть использованы для оптимизации логистики и выбора экологически безопасных стратегий транспортировки в Арктике. Сделан вывод о том, что предложенный алгоритм применим для мониторинга экологического воздействия морской деятельности и разработки мер по снижению выбросов парниковых газов.</p></abstract><trans-abstract xml:lang="en"><p>For the first time, a new methodology for evaluating greenhouse gas emissions using filtered satellite AIS data was applied to assess the environmental load on the Arctic waters from vessels of the “Novy Port” project. It was noted that thorough signal filtering makes it possible to eliminate interference and supplement data unavailable at high latitudes without satellite coverage, thereby increasing calculation accuracy and ensuring a more objective evaluation of the carbon footprint. The obtained results can be used to optimize logistics and select environmentally friendly transportation strategies in the Arctic. It was concluded that the proposed algorithm is applicable for monitoring the environmental impact of maritime activities and for developing measures to reduce greenhouse gas emissions.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>выбросы судов</kwd><kwd>парниковые газы</kwd><kwd>арктическая акватория</kwd><kwd>суда</kwd><kwd>танкеры</kwd><kwd>АИС-данные</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ship emissions</kwd><kwd>greenhouse gases</kwd><kwd>Arctic waters</kwd><kwd>vessels</kwd><kwd>tankers</kwd><kwd>AIS data</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена при поддержке Российского научного фонда, проект № 25-27-20102.</funding-statement><funding-statement xml:lang="en">The work was supported by the Russian Science Foundation, project No. 25-27-20102.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Endresen Ø., Sørga˚rd E., Sundet J.K. et al. 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