Simulation of water temperature and dissolved oxygen distribution in Lake Vegoritis, Greece

Antonopoulos, Vassilis Z.; Gianniou, Soultana K.

doi:10.1016/s0304-3800(02)00286-7

Cited by 120 publications

(75 citation statements)

References 20 publications

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“…There are quite a few relatively simple advective-diffusive models (Reichert 1994) but also more complex models based on turbulence scheme (Antonopoulos and Gianniou 2003;Gal et al 2003). There are no strict guidelines for the selection of the spatial dimension in the lake models and different models use different dimensions (Romero et al 2004).…”

Section: The Choice Of Dimension In Lake Modelsmentioning

confidence: 99%

A general one-dimensional vertical ecosystem model of Lake Shira (Russia, Khakasia): description, parametrization and analysis

et al. 2010

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A one-dimensional ecological model of the meromictic brackish Lake Shira (Russia, Khakasia) was developed. The model incorporates state-of-the-art knowledge about the functioning of the lake ecosystem using the most recent field observations and ideas from PCLake, a general ecosystem model of shallow freshwater lakes. The model of Lake Shira presented here takes into account the vertical dynamics of biomasses of the main species of algae, zooplankton and microbial community, as well as the dynamics of oxygen, detritus, nutrients and hydrogen sulphide from spring to autumn. Solar radiation, temperature and diffusion are modelled using real meteorological data. The parameters of the model were calibrated to the field data, after applying different methods of sensitivity analysis to the model. The resulting patterns of phytoplankton and nutrients dynamics show a good qualitative and quantitative agreement with the field observations during the whole summer season. Results are less satisfactory with respect to the vertical distribution of zooplankton biomass. We hypothesize that this is due to the fact that the current model does not take the sex and age structure of zooplankton into account. The dynamics of oxygen, hydrogen sulphide and the modelled positions of the chemocline and thermocline are again in good agreement with field data. This resemblance confirms the validity of the approach we took in the model regarding the main physical, chemical and ecological processes. This general model opens the way for checking various hypotheses on the functioning of the Lake Shira ecosystem in future investigations and for analysing options for management of this economically important lake.

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Section: The Choice Of Dimension In Lake Modelsmentioning

confidence: 99%

A general one-dimensional vertical ecosystem model of Lake Shira (Russia, Khakasia): description, parametrization and analysis

et al. 2010

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“…Los modelos unidimensionales siguen siendo atractivos, apropiados y convincentes para describir la calidad del agua y la ecología de lagos y almacenamientos (Antonopoulos et al, 2003). Claramente un ajuste detallado de parámetros, crucial en un modelo físico-biológico acoplado, es extremadamente costoso en el caso tridimensional.…”

Section: Calidad Del Agua En Almacenamientosunclassified

“…El oxígeno disuelto (OD), el ciclo de nutrientes, la productividad biológica y los desarrollos piscícolas son algunos de los parámetros de calidad del agua severamente controlados por los cambios de temperatura (Antonopoulos et al, 2003). La temperatura tiene una fuerte influencia en los coeficientes de las reacciones químicas y biológicas (Chapra, 1997).…”

Section: Temperaturaunclassified

“…La temperatura y el oxígeno son dos de los principales factores de calidad del agua en lagos y embalses (Antonopoulos et al, 2003).…”

Section: Concentración De Oxígenounclassified

“…El proceso de producción de oxígeno fotosintético es junto con la reaireación, de los procesos más importantes en la modelación del oxígeno disuelto (Antonopoulos et al, 2003). Los tributarios que arriban al propio cuerpo de agua también son una fuente de OD (Thomann et al, 1987).…”

Section: Concentración De Oxígenounclassified

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Modelación unidimensional de la calidad del agua en embalses. Análisis comparativo de modelos y multivariantes.

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A framework for identifying factors controlling cyanobacterium Microcystis flos‐aquae blooms by coupled CCM–ECCM Bayesian networks

Tal,

Ostrovsky,

Gal

2024

Ecology and Evolution

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Cyanobacterial blooms in freshwater sources are a global concern, and gaining insight into their causes is crucial for effective resource management and control. In this study, we present a novel computational framework for the causal analysis of cyanobacterial harmful algal blooms (cyanoHABs) in Lake Kinneret. Our framework integrates Convergent Cross Mapping (CCM) and Extended CCM (ECCM) causal networks with Bayesian Network (BN) models. The constructed CCM–ECCM causal networks and BN models unveil significant interactions among factors influencing cyanoHAB formation. These interactions have been validated by domain experts and supported by evidence from peer‐reviewed publications. Our findings suggest that Microcystis flos‐aquae levels are influenced not only by community structure but also by ammonium, phosphate, oxygen, and temperature levels in the weeks preceding bloom occurrences. We demonstrated a non‐parametric computational framework for causal analysis of a multivariate ecosystem. Our framework offers a more comprehensive understanding of the underlying mechanisms driving M. flos‐aquae blooms in Lake Kinneret. It captures complex interactions and provides an explainable prediction model. By considering causal relationships, temporal dynamics, and joint probabilities of environmental factors, the proposed framework enhances our understanding of cyanoHABs in Lake Kinneret.

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Simulation of water temperature and dissolved oxygen distribution in Lake Vegoritis, Greece

Cited by 120 publications

References 20 publications

A general one-dimensional vertical ecosystem model of Lake Shira (Russia, Khakasia): description, parametrization and analysis

A general one-dimensional vertical ecosystem model of Lake Shira (Russia, Khakasia): description, parametrization and analysis

Modelación unidimensional de la calidad del agua en embalses. Análisis comparativo de modelos y multivariantes.

A framework for identifying factors controlling cyanobacterium Microcystis flos‐aquae blooms by coupled CCM–ECCM Bayesian networks

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