A new approach to aquatic ecosystem monitoring of the Ob river
<p>An integrated approach to aquatic ecosystem monitoring is being developed for the Ob river. The novelty of the approach is in transition to high-performance computing (HPC) under processing of remote sensing data and modeling of aquatic ecosystem degradation. Classes of optically complex su...
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Copernicus Publications
2020-09-01
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Series: | Proceedings of the International Association of Hydrological Sciences |
Online Access: | https://piahs.copernicus.org/articles/383/375/2020/piahs-383-375-2020.pdf |
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doaj-263dd0d9ec9e4e02b382ca8e88c47ce12020-11-25T03:56:56ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2020-09-0138337537910.5194/piahs-383-375-2020A new approach to aquatic ecosystem monitoring of the Ob riverA. A. Tskhai0A. A. Tskhai1A. V. Puzanov2N. M. Kovalevskaya3V. V. Kirillov4Institute for Water and Environmental Problems, Siberian Branch, Russian Academy of Sciences, Barnaul 656038, RussiaPolzunov Altai State Technical University, Barnaul 656038 RussiaInstitute for Water and Environmental Problems, Siberian Branch, Russian Academy of Sciences, Barnaul 656038, RussiaInstitute for Water and Environmental Problems, Siberian Branch, Russian Academy of Sciences, Barnaul 656038, RussiaInstitute for Water and Environmental Problems, Siberian Branch, Russian Academy of Sciences, Barnaul 656038, Russia<p>An integrated approach to aquatic ecosystem monitoring is being developed for the Ob river. The novelty of the approach is in transition to high-performance computing (HPC) under processing of remote sensing data and modeling of aquatic ecosystem degradation. Classes of optically complex surface waters of the Gulf of the Kara Sea – the Ob Bay are studied on the basis of the fuzzy cluster analysis of water objects emission. A ten-year dynamics of concentrations of optically active substances was estimated using the neural network simulation. The application of the structural-dynamic model allowed explaining the long-term trend in the development of the ecosystem of the Novosibirsk reservoir, the largest one in the Ob river basin.</p>https://piahs.copernicus.org/articles/383/375/2020/piahs-383-375-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. A. Tskhai A. A. Tskhai A. V. Puzanov N. M. Kovalevskaya V. V. Kirillov |
spellingShingle |
A. A. Tskhai A. A. Tskhai A. V. Puzanov N. M. Kovalevskaya V. V. Kirillov A new approach to aquatic ecosystem monitoring of the Ob river Proceedings of the International Association of Hydrological Sciences |
author_facet |
A. A. Tskhai A. A. Tskhai A. V. Puzanov N. M. Kovalevskaya V. V. Kirillov |
author_sort |
A. A. Tskhai |
title |
A new approach to aquatic ecosystem monitoring of the Ob river |
title_short |
A new approach to aquatic ecosystem monitoring of the Ob river |
title_full |
A new approach to aquatic ecosystem monitoring of the Ob river |
title_fullStr |
A new approach to aquatic ecosystem monitoring of the Ob river |
title_full_unstemmed |
A new approach to aquatic ecosystem monitoring of the Ob river |
title_sort |
new approach to aquatic ecosystem monitoring of the ob river |
publisher |
Copernicus Publications |
series |
Proceedings of the International Association of Hydrological Sciences |
issn |
2199-8981 2199-899X |
publishDate |
2020-09-01 |
description |
<p>An integrated approach to aquatic ecosystem monitoring is
being developed for the Ob river. The novelty of the approach is in
transition to high-performance computing (HPC) under processing of remote
sensing data and modeling of aquatic ecosystem degradation. Classes of
optically complex surface waters of the Gulf of the Kara Sea – the Ob Bay
are studied on the basis of the fuzzy cluster analysis of water objects
emission. A ten-year dynamics of concentrations of optically active
substances was estimated using the neural network simulation. The
application of the structural-dynamic model allowed explaining the long-term
trend in the development of the ecosystem of the Novosibirsk reservoir, the
largest one in the Ob river basin.</p> |
url |
https://piahs.copernicus.org/articles/383/375/2020/piahs-383-375-2020.pdf |
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