MORPHOMETRIC PARAMETERS ESTIMATION FOR BOG DEPRESSION LAKES IN THE NORTH OF THE PERM KAMA REGION

Authors

  • Pavel Yu. Sannikov Perm State University, Perm, Russia
  • Sergey V. Kopytov Perm State University, Perm, Russia
  • Ekaterina A. Igosheva Perm State University, Perm, Russia
  • Elizaveta A. Mekhonoshina Perm State University, Perm, Russia
  • Ekaterina A. Novikova Perm State University, Perm, Russia
  • Maria K. Pekhtereva Perm State University, Perm, Russia
  • Elizaveta E. Solovyova Perm State University, Perm, Russia
  • Alexandra A. Samarkina Perm State University, Perm, Russia

DOI:

https://doi.org/10.17072/2079-7877-2024-2-109-123

Keywords:

glacial zone, morphometry, bathymetric survey, remote sensing data, State Water Register, climate change, KamaKeltma Lowland, Lake Adovo, Lake Chusovskoye, Lake Chelvinskoye

Abstract

The lakes of bog depressions in the north of the Perm Kama region are relatively inaccessible and insufficientlystudied. The interest in studying these lakes is due to the relict character of their formation in the bowls of glacial lakes as well as themodern climatic instability. On the basis of direct field studies (bathymetric surveys in 2021 and 2023) and remote sensing data processing, we studied 12 lakes of bog depressions. This paper is the first to provide a calculation of a set of morphometric data of thewater bodies: length, maximum and average width, area, extent, shoreline sinuosity coefficient and others. For lakes Adovo,Chelvinskoye and Nyukhti, the maximum and average depths and the total volume of the water body were also determined. It is notedthat the pronounced climatic features of 2023 (hot and dry year) could lead to a noticeable decrease in water level, especially in LakeNyukhti. In this case, the obtained values of the water body depths and volume are reduced relative to the norm. It was also found thatin the data of the State Water Register, used as reference, the water area for Lake Bolshoi Kumikush is significantly underestimated(by 3.2%), while for lakes Chusovskoye and Tundra – significantly overestimated (by 22.2% and 34.2%, respectively). The study hasestablished the place of the water bodies in question in the rows of lake classification by area, depths, elongation index, and the shorelinesinuosity.

Author Biographies

Pavel Yu. Sannikov, Perm State University, Perm, Russia

Candidate of Geographical Sciences, Associate Professor

Sergey V. Kopytov, Perm State University, Perm, Russia

Candidate of Geographical Sciences, Associate Professor

Ekaterina A. Igosheva, Perm State University, Perm, Russia

Postgraduate Student

Elizaveta A. Mekhonoshina, Perm State University, Perm, Russia

Student

Ekaterina A. Novikova, Perm State University, Perm, Russia

Student

Maria K. Pekhtereva, Perm State University, Perm, Russia

Student

Elizaveta E. Solovyova, Perm State University, Perm, Russia

Student

Alexandra A. Samarkina, Perm State University, Perm, Russia

Student

Published

2024-07-01

How to Cite

Sannikov П. Ю., Kopytov С. В., Igosheva Е. А., Mekhonoshina Е. А., Novikova Е. А., Pekhtereva М. К., Solovyova Е. Е., & Samarkina А. А. (2024). MORPHOMETRIC PARAMETERS ESTIMATION FOR BOG DEPRESSION LAKES IN THE NORTH OF THE PERM KAMA REGION. Geographical Bulletin, (2(69), 109–123. https://doi.org/10.17072/2079-7877-2024-2-109-123

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