Ecological state evaluation for Lake Glubokoe in Moscow region

International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems: ENVIROMIS-2018

生态环境科学;计算机科学

Erina, O.^1 ; Vilimovich, E.^1 ; Tereshina, M.^1 ; Sokolov, D.^1 ; Korovchinsky, N.^2

Department of Land Hydrology, Lomonosov Moscow State University, Moscow, Russia^1

Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Moscow, Russia^2

关键词: Automatic optimization;    Chlorophyll concentration;    Climatic conditions;    Ecological regimes;    Ecological state;    Observation data;    One-dimensional model;    Zooplankton dynamics;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/211/1/012035/pdf
DOI  :  10.1088/1755-1315/211/1/012035

来源: IOP

【 摘 要 】

This study aims to assess the trophic state of a small lake in modern climatic conditions using a one-dimensional model called MyLake, developed at the Norwegian Institute for Water Research. This temperate Lake Glubokoe, situated in the western part of Moscow region, Russia, is chosen as the study object. It is a small but deep dimictic lake, classified in publications as mesotrophic. Its hydrological and water quality observations were mostly conducted in the first half of the 20th century and are only occasional in later years. The model is calibrated on extensive hydrological observation data collected during the growing season of 2017. It is validated on observation data of 1991-2015. After the model is adapted via an automatic optimization, it is able to accurately describe the lake's thermal regime and dynamics of the parameters needed for the trophic state evaluation - the mineral phosphorus and chlorophyll concentrations. The Lake Glubokoe trophic state dynamics, based on the average summer chlorophyll concentration in the surface layer, is reviewed from a model simulation of its hydro-ecological regime over 1991-2015. The mean trophic state over this period is determined as β-mesotrophic, reaching an α-eutrophic state in periods of intensive algal growth. These estimates correlate well with the observations of the zooplankton dynamics in the lake.