Geology, geography and global energy

Scientific and Technical Journal

RETROSPECTIVE ANALYSIS OF STRUCTURALLY-FUNCTIONAL FEATURES OF NATURAL GEOGRAPHICAL COMPLEXES OF THE VOLGA RIVER DELTA

2017. №2, pp. 104-110

Zanozin V.V. - Ph.D. in Geography, Associate Professor, Astrakhan State University, 1 Shaumyan sq., Astrakhan, 414000, Russian Federation, vvzanozin-67@mail.ru

Barmin A.N. - D.Sc. in Geography, Professor, Astrakhan State University, 1 Shaumyan sq., Astrakhan, 414000, Russian Federation, abarmin60@mail.ru

Research and mapping of the morphological structure of natural landscapes continues to be the most important task of modern geography. The information obtained is the basis for the subsequent determination of the degree of anthropogenic disturbance of natural complexes and the search for ways of their possible return to their previous state. The object of this study is the central part of the Volga delta landscape, which is due to the complexity of the structure of the region and a high degree of economic development. At the same time, various sources of information were used: from literary and stock materials to remote sensing data of the Earth. The work on the study of the morphological structure of the designated region was carried out in three stages. Existing approaches to the separation of the boundaries of the investigated part of the Volga delta are considered. In the formation of the morphological structure of the central part of the Volga delta landscape belongs to the lithological factor, which in turn is due to the complex hydrological situation at all stages of development. During the research, maps of natural (“restored”) PTCs of the central part of the Volga delta landscape were drawn on a scale of 1:100 000. The map shows the natural-territorial complexes of the rank of the tract.

Key words: дельта Волги, ландшафт, урочище, култучные равнины, бугры Бэра, космические снимки, географические информационные системы, ландшафтное картографирование, Volga river delta, landscape, landtype association, creek low lands, Baer knolls, remote data, geogra

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