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February 25, 2026Водные ресурсы / Water Resources0 citations

Mathematical Modeling of the Transformation of Nitrogen, Phosphorus and Oxygen Compounds in the Ecosystem of Lake Teletskoye

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ATA.A. Tskhai

Key Points

  • This research aims to model the cycle of nitrogen and phosphorus compounds and dissolved oxygen dynamics in Lake Teletskoye.
  • Calibrated a model using long-term water quality data from 1985-2003
  • Considered a scenario of the hydrological regime from 2016
  • Analyzed intra-annual variability of nitrogen and phosphorus compounds
  • Calculated permissible nitrogen and phosphorus loads on the lake
  • Lake Teletskoye has a very low assimilation potential for phosphorus
  • There remains a small self-purification reserve for nitrogen
  • The lake's cleanliness is primarily due to low anthropogenic load
  • Research highlights the need for improved monitoring and analysis methodologies

Abstract

The most significant features of modeling the cycle of compounds of biogenic elements (nitrogen and phosphorus) and the dynamics of dissolved oxygen in the ecosystem of Lake Teletskoye are considered. The model was calibrated taking into account data from long-term observations of water quality in 1985-2003, as well as a scenario version of the hydrological regime in 2016. The analysis of the intra-annual variability for the state variables, external and internal fluxes of nitrogen and phosphorus compounds in the water is given. The permissible load of nitrogen and phosphorus on the lake is calculated. The model analysis showed that the lakes assimilation potential with respect to phosphorus compounds is insignificant, practically absent. In relation to nitrogen compounds, there is still a small reserve of self-purification. The water is clean not due to sufficient assimilation, but due to the fact that there has been a low anthropogenic load so far. The obtained model results indicate the urgent need to bring the research to a modern level, both in terms of the number for observation points of the monitoring network in characteristic zones, increasing the list of monitored indicators and the frequency of monitoring, and improving the quality of the instrumental and methodological base.

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Cite This Study

A.A. Tskhai (2025) studied this question.

synapsesocial.com/papers/699e9166f5123be5ed04ed9chttps://doi.org/10.7868/s3034515425050025
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