Mathematical model for the available phosphorus, phytoplankton and zooplankton in the Lake Ohrid
Journal
WIT Transactions on Ecology and the Environment
Date Issued
1998-10-14
Author(s)
Koneski, Z
Naumoski, T
Abstract
In the paper by Mitreski et al.' a dynamic biogeochemical model has been
proposed, which tends to describe some of the processes that contribute to the
eutrophication of Lake Ohrid. By balancing the complexity between the scope of
the model and the available data, we selected state variables and formulated
mathematical expressions. With three differential equations, we took into
account the change of available phosphorus, as well as time dependent
behaviour of phytoplankton and zooplankton concentrations in the lake. By
considering both model output and lake-wide observations, the suitability of the
model was analysed.
The main goal of this paper is to give experimental validation of the
proposed mathematical model. Four groups of phytoplankton and seven
zooplankton types were considered in the analysis. The simulated results from
the model are validated with the measured values from the lake. We concluded
that the model shows the general trends and considers the probabilistic nature of
the lake ecosystem.
proposed, which tends to describe some of the processes that contribute to the
eutrophication of Lake Ohrid. By balancing the complexity between the scope of
the model and the available data, we selected state variables and formulated
mathematical expressions. With three differential equations, we took into
account the change of available phosphorus, as well as time dependent
behaviour of phytoplankton and zooplankton concentrations in the lake. By
considering both model output and lake-wide observations, the suitability of the
model was analysed.
The main goal of this paper is to give experimental validation of the
proposed mathematical model. Four groups of phytoplankton and seven
zooplankton types were considered in the analysis. The simulated results from
the model are validated with the measured values from the lake. We concluded
that the model shows the general trends and considers the probabilistic nature of
the lake ecosystem.
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