A new approach to aquatic ecosystem monitoring of the Ob river
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 wat...
| Published in: | Proceedings of the International Association of Hydrological Sciences |
|---|---|
| Main Authors: | , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Copernicus Publications
2020
|
| Subjects: | |
| Online Access: | https://doi.org/10.5194/piahs-383-375-2020 https://noa.gwlb.de/receive/cop_mods_00053133 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00052786/piahs-383-375-2020.pdf https://piahs.copernicus.org/articles/383/375/2020/piahs-383-375-2020.pdf |
| Summary: | 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. |
|---|