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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">gtcrust</journal-id><journal-title-group><journal-title xml:lang="ru">Геодинамика и тектонофизика</journal-title><trans-title-group xml:lang="en"><trans-title>Geodynamics &amp; Tectonophysics</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2078-502X</issn><publisher><publisher-name>Institute of the Earth's crust of the Russian Academy of Sciences, Siberian Branch</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.5800/GT-2019-10-4-0456</article-id><article-id custom-type="elpub" pub-id-type="custom">gtcrust-945</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>СОВРЕМЕННАЯ ГЕОДИНАМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RECENT GEODYNAMICS</subject></subj-group></article-categories><title-group><article-title>ПРОСТРАНСТВЕННАЯ ТИПИЗАЦИЯ ГЕОСИСТЕМ РЕЧНЫХ БАССЕЙНОВ ВОДОСБОРА РЕКИ КАМЫ В СВЯЗИ С ОСОБЕННОСТЯМИ ТЕКТОНИЧЕСКОГО СТРОЕНИЯ ТЕРРИТОРИИ</article-title><trans-title-group xml:lang="en"><trans-title>SPATIAL TYPIFICATION OF RIVER BASIN GEOSYSTEMS IN THE KAMA RIVER CATCHMENT AREA IN RELATION TO THE REGIONAL TECTONIC STRUCTURES</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>Трифонова</surname><given-names>Т. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Trifonova</surname><given-names>T. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>докт. биол. наук, профессор, 119991, Москва, Ленинские Горы, 1;</p><p>600000, Владимир, ул. Горького, 87</p></bio><bio xml:lang="en"><p>Doctor of Biology, Professor, 1 Leninskie Gory, Moscow 119991;</p><p>87 Gorky street, Vladimir 600000</p></bio><email xlink:type="simple">tatrifon@mail.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>Шутов</surname><given-names>П. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Shutov</surname><given-names>P. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>аспирант,</p><p>600000, Владимир, ул. Горького, 87</p></bio><bio xml:lang="en"><p>Postgraduate Student,</p><p>87 Gorky street, Vladimir 600000</p></bio><email xlink:type="simple">pav.shutov59@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный университет им. М.В. Ломоносова;&#13;
Владимирский государственный университет им. А.Г. и Н.Г. Столетовых</institution><country>Россия</country></aff><aff xml:lang="en"><institution>M.V. Lomonosov Moscow State University;&#13;
A.G. and N.G. Stoletovs Vladimir State University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Владимирский государственный университет им. А.Г. и Н.Г. Столетовых</institution><country>Россия</country></aff><aff xml:lang="en"><institution>A.G. and N.G. Stoletovs Vladimir State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>11</day><month>12</month><year>2019</year></pub-date><volume>10</volume><issue>4</issue><fpage>1029</fpage><lpage>1044</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Трифонова Т.А., Шутов П.С., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Трифонова Т.А., Шутов П.С.</copyright-holder><copyright-holder xml:lang="en">Trifonova T.A., Shutov P.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://www.gt-crust.ru/jour/article/view/945">https://www.gt-crust.ru/jour/article/view/945</self-uri><abstract><p>С целью выявления взаимосвязей между формированием структур речных систем и особенностями тектонического строения территории были проанализированы морфометрические параметры водосборов рек различных порядков, образующих Камский речной бассейн. На основе цифровой модели рельефа в программной среде геоинформационной системы ESRI ArcGis 10.4 проведено ранжирование территории бассейна. Определены и рассчитаны количественные морфометрические характеристики рельефа в пределах выделенных геосистем речных бассейнов, и проведен их сравнительный анализ. С использованием многомерных статистических методов анализа проведена группировка бассейнов по совокупности ряда геометрических и морфометрических характеристик. Разработана методика пространственной типизации бассейновых геосистем по морфометрическим показателям. Впервые по результатам кластерного анализа идентифицированы семь групп бассейнов, отражающих пространственную неоднородность древнейших тектонических элементов, а также геоморфологических условий в пределах всей территории бассейна реки Камы. Установлена принадлежность типов геосистем речных бассейнов с характерными морфометрическими признаками к различным древнейшим тектоническим структурам, что свидетельствует в пользу генетической взаимосвязи эндогенных процессов руслового трещинообразования и разнообразия геометрических параметров различных бассейнов.</p></abstract><trans-abstract xml:lang="en"><p>This study was aimed to reveal relationships between the formation of the structures of river systems and to discover the tectonic structural features of the territory. We analyzed the morphometric parameters of river catchment areas of various orders, which comprise the Kama river basin. A digital terrain model in ESRI ArcGis 10.4 geoinformation system was used. Within the identified river basin geosystems, quantitative morphometric characteristics of the terrain were calculated for comparative analysis. Multidimensional statistical analysis methods were used to group the basins with respect to their sets of geometric and morphometric characteristics. A spatial typification technique was developed to distinguish the basin geosystems by their morphometric indicators. This study pioneered in using the results of cluster analysis for identification of seven groups of basins, which reflect the spatial heterogeneity of the ancient tectonic elements and the geomorphological conditions within the entire territory of the Kama river basin. It is established that the types of the river basin geosystems with characteristic morphometric features are related to various ancient tectonic structures, which suggests a genetic relationship of endogenous processes of river channel fracturing and the diversity of geometric parameters of different river basins.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>бассейн реки Камы</kwd><kwd>геосистема</kwd><kwd>древняя тектоника</kwd><kwd>цифровая модель рельефа</kwd><kwd>водосборный бассейн</kwd><kwd>морфометрический анализ рельефа</kwd><kwd>метод главных компонент</kwd><kwd>кластерный анализ</kwd><kwd>пространственная типизация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Kama river basin</kwd><kwd>geosystem</kwd><kwd>ancient tectonics</kwd><kwd>digital terrain model</kwd><kwd>river catchment</kwd><kwd>morphometric analysis of the terrain</kwd><kwd>principal component method</kwd><kwd>cluster analysis</kwd><kwd>spatial typification</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена при финансовой поддержке  РФФИ (проекты № 19‐05‐00363, 17‐05‐41‐034 РГО).</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">Айвазян С.А., Бежаева З.И., Староверов О.В. 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