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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">ecodag</journal-id><journal-title-group><journal-title xml:lang="ru">Юг России: экология, развитие</journal-title><trans-title-group xml:lang="en"><trans-title>South of Russia: ecology, development</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1992-1098</issn><issn pub-type="epub">2413-0958</issn><publisher><publisher-name>State Institute of Applied Ecology of the Republic of Dagestan</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18470/1992-1098-2020-3-66-76</article-id><article-id custom-type="elpub" pub-id-type="custom">ecodag-2016</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>ГЕОЭКОЛОГИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GEOECOLOGY</subject></subj-group></article-categories><title-group><article-title>Оценка комфортности биоклиматических условий Краснодарского края с применением ГИС‐технологий</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of bioclimatic comfort of the Krasnodar Territory, Russia through the application of GIS‐technologies</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0492-3630</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кузякина</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kuzyakina</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Марина В. Кузякина, кандидат физикоматематических наук, доцент, кафедра геоинформатики</p><p>350049, г. Краснодар, ул. Ставропольская, 149Тел. +79182660472</p></bio><bio xml:lang="en"><p>Marina V. Kuzyakina, Candidate of Physical and Mathematic Sciences, Assistant Professor, Department of Geoinformatics</p><p>149 Stavropolskaya St, Krasnodar, 350049Тел. +79182660472</p></bio><email xlink:type="simple">marinavkuzyakina@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2748-9622</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гура</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gura</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дмитрий А. Гура</p><p>Краснодар</p></bio><bio xml:lang="en"><p>Dmitry A. Gura</p><p>Krasnodar</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Кубанский государственный университет<country>Россия</country></aff><aff xml:lang="en">Kuban State University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Кубанский государственный технологический университет; Кубанский государственный аграрный университет<country>Россия</country></aff><aff xml:lang="en">Kuban State Technological University; Kuban State Agrarian University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>19</day><month>10</month><year>2020</year></pub-date><volume>15</volume><issue>3</issue><elocation-id>66‐76</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Кузякина М.В., Гура Д.А., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Кузякина М.В., Гура Д.А.</copyright-holder><copyright-holder xml:lang="en">Kuzyakina M.V., Gura D.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ecodag.elpub.ru/ugro/article/view/2016">https://ecodag.elpub.ru/ugro/article/view/2016</self-uri><abstract><sec><title>Цель</title><p>Цель. Определить наиболее и наименее комфортные зоны Краснодарского края по месяцам.</p></sec><sec><title>Материал и методы</title><p>Материал и методы. Исследуемые биоклиматические индексы учитывают совместное влияние температуры, скорости ветра, относительной влажности воздуха, атмосферного давления, солнечной радиации в тех или иных комбинациях. Проведен геоинформационный анализ следующих биоклиматических индексов: эффективной температуры, эквивалентно-эффективной температуры, биоклиматически-активной температуры, радиационной эквивалентно-эффективной температуры и комплексного показателя уровня патогенного действия погоды на территории Краснодарского края. Индекс патогенного действия погоды – единственный индекс в статье, который учитывает атмосферное давление. В комплекс исследований добавлена оценка суровости зимы. Рассчитаны и картированы следующие индексы «холодового стресса»: интегральный показатель охлаждения (обморожения), индекс оценки суровости климата по Бодману, индекс охлаждения Сайпла-Пассела и ветро-холодовой индекс.</p></sec><sec><title>Результаты</title><p>Результаты. Краснодарский край был разделен на 4 зоны комфортности: Азово-Черноморскую, Черноморскую, Юго-Восточную предгорную и континентальную.</p></sec><sec><title>Выводы</title><p>Выводы. Установлены комфортные месяцы для проживания в Краснодарском крае в целом, и районы Краснодарского края, благоприятные для жизни в любое время года. Жесткость зимы в Краснодарском крае, как показал анализ, имеет тесную корреляцию с силой ветра.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Aim</title><p>Aim. To determine the most and least comfortable zones of the Krasnodar Territory by month.</p></sec><sec><title>Material and Methods</title><p>Material and Methods. The bioclimatic indices studied take into account the combined influences of temperature, wind speed, relative humidity, atmospheric pressure and solar radiation in various combinations. A geoinformation analysis of the following bioclimatic indices was carried out: effective temperature, equivalent-effective temperature, bioclimatically active temperature, radiation equivalent-effective temperature, and a complex indicator of the level of pathogenic effects of weather in the Krasnodar Territory. The weather pathogenicity index is the only index in the article that takes into account atmospheric pressure. The study also added an assessment of the severity of winter. The following indices of “cold stress” were calculated and mapped: integrated cooling index (frostbite), Bodman climate severity index, Siple-Passel cooling index and wind-cold index.</p></sec><sec><title>Results</title><p>Results. The Krasnodar Territory was divided into 4 comfort zones: Azov-Black Sea, Black Sea, South-Eastern Foothills and Continental.</p></sec><sec><title>Conclusions</title><p>Conclusions. Comfortable months have been established for living in the Krasnodar Territory as a whole, and areas of the Krasnodar Territory favourable for life at any time of the year. The severity of winter in the Krasnodar Territory as shown by the analysis is closely correlated with wind strength.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>Метеорология</kwd><kwd>картография</kwd><kwd>биоклиматическая комфортность</kwd><kwd>суровость климата</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Meteorology</kwd><kwd>cartography</kwd><kwd>bioclimatic comfort</kwd><kwd>severity of climate</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Gura D., Kuzyakina M., Gribkova I Assessment of bioclimatic comfort of the Krasnodar Krai // IOP Conference Series: Earth and Environmental Science. 12th International Scientific Conference on Agricultural Machinery Industry, Interagromash 2019, Don State Technical University. Rostov-on-Don. Vol. 403. 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