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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Modeling of systems and processes</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Modeling of systems and processes</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Моделирование систем и процессов</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2219-0767</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">90822</article-id>
   <article-id pub-id-type="doi">10.12737/2219-0767-2024-17-4-7-15</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Технические науки</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject></subject>
    </subj-group>
    <subj-group>
     <subject>Технические науки</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Modeling of the temperature field in forest fires</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Моделирование температурного поля при лесных пожарах</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Асадов</surname>
       <given-names>Хикмет Гамидович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Asadov</surname>
       <given-names>Hikmet Hamidovich</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Байрамов</surname>
       <given-names>Г. З.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Bayramov</surname>
       <given-names>G. Z.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Национальное Аэрокосмическое Агентство</institution>
     <city>Баку</city>
     <country>Азербайджан</country>
    </aff>
    <aff>
     <institution xml:lang="en">National Aerospace Agency</institution>
     <city>Baku</city>
     <country>Azerbaijan</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Национальное Аэрокосмическое Агентство</institution>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">National Aerospace Agency</institution>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2024-12-27T11:27:50+03:00">
    <day>27</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-12-27T11:27:50+03:00">
    <day>27</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <volume>17</volume>
   <issue>4</issue>
   <fpage>7</fpage>
   <lpage>15</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-11-16T00:00:00+03:00">
     <day>16</day>
     <month>11</month>
     <year>2024</year>
    </date>
    <date date-type="accepted" iso-8601-date="2024-11-15T00:00:00+03:00">
     <day>15</day>
     <month>11</month>
     <year>2024</year>
    </date>
   </history>
   <self-uri xlink:href="https://zh-szf.ru/en/nauka/article/90822/view">https://zh-szf.ru/en/nauka/article/90822/view</self-uri>
   <abstract xml:lang="ru">
    <p>Разработана многозональная одномерная модель на основе одномерной Гауссовой модели возгорания в лесу Решена оптимизационная задача вычисления среднеинтегральной температуры в лесу с многозональным расположением огня. Показано, что при использовании гауссовой многозональной модели возгорания среднеинтегральная температура уменьшается с ростом дистанции от края до центра территории многозональных пожаров. Рассмотрена возможность применения одномерной Гауссовой модели однозонального расположения огня для раннего обнаружения возгорания в лесу по эмиссионным и абсорбционным признакам. Показано, что совместное использование этих признаков, в сочетании с Гауссовой моделью позволяет повысить чувствительность обнаружения возгорания в лесу. Предложен эмиссионно-абсорбционный метод раннего обнаружения лесных возгораний. Показано, что чувствительность обнаружения возгорания в предложенном методе выше, чем при одинарном использовании эмиссионного и адсорбционного методов. Предложен комплексный индекс- показатель пожаробезопасности лесов, учитывающий такие факторы как влагосодержание почвы, скорость ветра, высоту местности, отражательный спектр почвы и его зависимость от влагосодержания почвы. Отмечен экстремальный характер предложенного комплексного индекса в зависимости от влагосодержания почвы. Это свойство позволяет сбалансировать доли повышения пожарной безопасности за счет частных критериев безопасности (принцип Парето оптимизации) для достижения максимальной достоверности полученной суммарно-взвешенной оценки</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>A multi-zone one-dimensional model based on a one-dimensional Gaussian model of fire in the forest has been developed. The optimization problem of calculating the average integral temperature in a forest with a multi-zone location of fire has been solved. It is shown that when using the Gaussian multizonal ignition model, the average integral temperature decreases with increasing distance from the edge to the center of the territory of multizonal fires. The possibility of using a one-dimensional Gaussian model of a single-zone fire location for early detection of fire in the forest by emission and absorption characteristics is considered. It is shown that the combined use of these features, in combination with the Gaussian model, makes it possible to increase the sensitivity of fire detection in the forest. An emission-absorption method for early detection of forest fires is proposed. It is shown that the sensitivity of fire detection in the proposed method is higher than with the single use of emission and adsorption methods. A comprehensive index is proposed - an indicator of forest fire safety, taking into account such factors as soil moisture content, wind speed, terrain height, soil reflective spectrum and its dependence on soil moisture content. The extreme nature of the proposed complex index is noted depending on the moisture content of the soil. This property allows you to balance the proportion of fire safety improvement due to particular safety criteria (Pareto optimization principle) in order to achieve maximum reliability of the resulting total-weighted assessment</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>моделирование лесные пожары; эмиссионно-абсорбционный способ</kwd>
    <kwd>раннее обнаружение лесных пожаров</kwd>
    <kwd>многокритериальная оптимизация</kwd>
    <kwd>чувствительность</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>forest fire modeling; emission-absorption method</kwd>
    <kwd>early detection of forest fires</kwd>
    <kwd>multi-criteria optimization</kwd>
    <kwd>sensitivity</kwd>
   </kwd-group>
  </article-meta>
 </front>
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