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Mathematical modelling as a tool for the assessment of impact of thermodynamics on the algal growth in dam reservoirs – case study of the Goczalkowice Reservoir

Rafał Ulańczyk

Rafał Ulańczyk

Institute of Environmental Protection – National Research InstituteWrocław, Poland
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Ulańczyk, Rafał
, 
Czesław Kliś

Czesław Kliś

Institute for Ecology of Industrial AreasWrocław, Poland
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Kliś, Czesław
, 
Damian Absalon

Damian Absalon

University of Silesia, Faculty of Earth SciencesWrocław, Poland
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Absalon, Damian
 and 
Marek Ruman

Marek Ruman

University of Silesia, Faculty of Earth SciencesWrocław, Poland
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Ruman, Marek
  
May 25, 2018
Mathematical modelling as a tool for the assessment of impact of thermodynamics on the algal growth in dam reservoirs – case study of the Goczalkowice Reservoir's Cover Image
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Published Online: May 25, 2018
Page range: 21 - 29
DOI: https://doi.org/10.2478/oszn-2018-0005
Keywords
© 2018 Rafał Ulańczyk, Czesław Kliś, Damian Absalon, Marek Ruman, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Goczałkowice Reservoir.
Goczałkowice Reservoir.

Figure 2

Meteorological conditions and water temperature in Goczałkowice Reservoir in analysed period [based on archival data of the ZiZOZap project].
Meteorological conditions and water temperature in Goczałkowice Reservoir in analysed period [based on archival data of the ZiZOZap project].

Figure 3

Water temperature monitoring points.
Water temperature monitoring points.

Figure 4

Model calibration results (grey: range of modelled temperatures ELCOM, black: observed temperatures) [observations based on archival data of the ZiZOZap project]
Model calibration results (grey: range of modelled temperatures ELCOM, black: observed temperatures) [observations based on archival data of the ZiZOZap project]

Figure 5

Comparison of modelled (ELCOM) and observed temperatures in the water column before and after calibration [observations based on archival data of the ZiZOZap project]
Comparison of modelled (ELCOM) and observed temperatures in the water column before and after calibration [observations based on archival data of the ZiZOZap project]

Figure 6

Example of summer water mixing event.
Example of summer water mixing event.

Figure 7

Comparison of temperature difference in water profile ΔT (ELCOM model) and observed concentration of ChlA [observations based on archival data of the ZiZOZap project]
Comparison of temperature difference in water profile ΔT (ELCOM model) and observed concentration of ChlA [observations based on archival data of the ZiZOZap project]

Parameters used in ELCOM model_

ParameterValue
Mean albedo of the water for shortwave radiation0.08
Mean albedo of the water for long wave radiation0.03
Drag coefficient on bottom cells0.005
Initial wind speed for domain0 m/s
Initial water temperature for domain11.4°C
Light extinction coefficients for shortwave radiation bands used to calculate the shortwave penetration:

Photosynthetically Active Radiation (PAR)

0.2-0.4 m–1

Near Infrared (NIR)

1 m–1

Ultra Violet A (UVA)

1-1.8 m–1

Ultra Violet B (UVB)

2.5-2.8 m–1
Sediments reflectivity0.9
Surface heat transfer coefficient0.0013-0.0015
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Life Sciences, Ecology
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