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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Russian Journal of Earth Sciences</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Russian Journal of Earth Sciences</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Russian Journal of Earth Sciences</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">1681-1208</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">89457</article-id>
   <article-id pub-id-type="doi">10.2205/2025ES000960</article-id>
   <article-id pub-id-type="edn">ekybst</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Спецвыпуск: &quot;Наука о данных, геоинформатика и системный анализ в изучении Земли&quot;</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Special Issue: “Data Science, Geoinformatics and Systems Analysis in Geosciences”</subject>
    </subj-group>
    <subj-group>
     <subject>Спецвыпуск: &quot;Наука о данных, геоинформатика и системный анализ в изучении Земли&quot;</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Density Model Creation Based on Separating Gravity Field by Depth</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Density Model Creation Based on Separating Gravity Field by Depth</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2481-7328</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Мартышко</surname>
       <given-names>Петр Сергеевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Martyshko</surname>
       <given-names>Petr Sergeevich</given-names>
      </name>
     </name-alternatives>
     <email>pmart3@mail.ru</email>
     <bio xml:lang="ru">
      <p>доктор физико-математических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>doctor of physical and mathematical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4107-6488</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Бызов</surname>
       <given-names>Денис Дмитриевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Byzov</surname>
       <given-names>Denis Dmitrievich</given-names>
      </name>
     </name-alternatives>
     <email>ivanov389@gmail.com</email>
     <bio xml:lang="ru">
      <p>кандидат физико-математических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of physical and mathematical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Институт геофизики им. Ю.П. Булашевича УРО РАН</institution>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Bulashevich Institute of Geophysics, UB RAS</institution>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Институт геофизики им. Ю.П. Булашевича УрО РАН</institution>
     <city>Екатеринбург</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Institute of Geophysics named after Yu.P. Bulashevich Ural Branch of the Russian Academy of Sciences</institution>
     <city>Yekaterinburg</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-05-23T16:41:25+03:00">
    <day>23</day>
    <month>05</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-05-23T16:41:25+03:00">
    <day>23</day>
    <month>05</month>
    <year>2025</year>
   </pub-date>
   <volume>25</volume>
   <issue>2</issue>
   <fpage>1</fpage>
   <lpage>6</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-11-15T00:00:00+03:00">
     <day>15</day>
     <month>11</month>
     <year>2024</year>
    </date>
    <date date-type="accepted" iso-8601-date="2025-04-15T00:00:00+03:00">
     <day>15</day>
     <month>04</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://rjes.ru/en/nauka/article/89457/view">https://rjes.ru/en/nauka/article/89457/view</self-uri>
   <abstract xml:lang="ru">
    <p>As a rule, it is known from a priori data that the studied field anomalies are caused by geological structures located at a certain depth below the day surface. Separation of anomalies of the observed potential field by depth and their connection with deep objects can form the basis of interpretation schemes for modeling problems. The classical method of field separation includes spectral filtering with subsequent analytical continuation of the separated anomalies. We propose an original method of height-based transformations of potential fields based on solving the inverse problem of analytical continuation of harmonic functions from a plane to the “inner” half-space. This problem is reduced to solving the Fredholm integral equation of the first kind for the Poisson integral, which can be used to represent a harmonic function in the “outer” half-space by its boundary values on the plane. The parallel algorithm for solving the integral equation is implemented on graphics accelerators using the NVidia CUDA and AMD ROCm libraries in the application software. The results of the method application are shown on the example of separation of the vertical component of the gravity field in the Bouguer reduction for the Sarginskaya area (Urals, Russia). For this territory, a detailed 3D density model was created by solving the linear inverse problem of gravimetry.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>As a rule, it is known from a priori data that the studied field anomalies are caused by geological structures located at a certain depth below the day surface. Separation of anomalies of the observed potential field by depth and their connection with deep objects can form the basis of interpretation schemes for modeling problems. The classical method of field separation includes spectral filtering with subsequent analytical continuation of the separated anomalies. We propose an original method of height-based transformations of potential fields based on solving the inverse problem of analytical continuation of harmonic functions from a plane to the “inner” half-space. This problem is reduced to solving the Fredholm integral equation of the first kind for the Poisson integral, which can be used to represent a harmonic function in the “outer” half-space by its boundary values on the plane. The parallel algorithm for solving the integral equation is implemented on graphics accelerators using the NVidia CUDA and AMD ROCm libraries in the application software. The results of the method application are shown on the example of separation of the vertical component of the gravity field in the Bouguer reduction for the Sarginskaya area (Urals, Russia). For this territory, a detailed 3D density model was created by solving the linear inverse problem of gravimetry.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>analytical continuation of potential fields</kwd>
    <kwd>linear inverse problem of gravimetry</kwd>
    <kwd>3D density model</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>analytical continuation of potential fields</kwd>
    <kwd>linear inverse problem of gravimetry</kwd>
    <kwd>3D density model</kwd>
   </kwd-group>
   <funding-group>
    <funding-statement xml:lang="ru">This research was funded by Russian Science Foundation, grant number 20-17-00058.</funding-statement>
    <funding-statement xml:lang="en">This research was funded by Russian Science Foundation, grant number 20-17-00058.</funding-statement>
   </funding-group>
  </article-meta>
 </front>
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