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
, , y
25 may 2018
Acerca de este artículo
Publicado en línea: 25 may 2018
Páginas: 21 - 29
DOI: https://doi.org/10.2478/oszn-2018-0005
Palabras clave
© 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

Figure 2
![Meteorological conditions and water temperature in Goczałkowice Reservoir in analysed period [based on archival data of the ZiZOZap project].](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/647269d0215d2f6c89dc7232/j_oszn-2018-0005_fig_002.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250912%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250912T113217Z&X-Amz-Expires=3600&X-Amz-Signature=859c8a881786a843c5b62d22bcc39fedcffac90ee6a05396ac2dd7612c50dbe9&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
Figure 3

Figure 4
![Model calibration results (grey: range of modelled temperatures ELCOM, black: observed temperatures) [observations based on archival data of the ZiZOZap project]](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/647269d0215d2f6c89dc7232/j_oszn-2018-0005_fig_004.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250912%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250912T113217Z&X-Amz-Expires=3600&X-Amz-Signature=645047d651beda4bc8d39b2c131f13863e90ee76e9079f9a8ca8d7b1dde321f7&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
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]](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/647269d0215d2f6c89dc7232/j_oszn-2018-0005_fig_005.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250912%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250912T113217Z&X-Amz-Expires=3600&X-Amz-Signature=9b34949a4bb7b3a816fde4e808cb522525059b1a8dd980cddf9541ac427fc943&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
Figure 6

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]](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/647269d0215d2f6c89dc7232/j_oszn-2018-0005_fig_007.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250912%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250912T113217Z&X-Amz-Expires=3600&X-Amz-Signature=aadf5341393632fe3785f89d8e658aa36d23079fd052d8b2599079c96086f567&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
Parameters used in ELCOM model_
Parameter | Value |
---|---|
Mean albedo of the water for shortwave radiation | 0.08 |
Mean albedo of the water for long wave radiation | 0.03 |
Drag coefficient on bottom cells | 0.005 |
Initial wind speed for domain | 0 m/s |
Initial water temperature for domain | 11.4°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 reflectivity | 0.9 |
Surface heat transfer coefficient | 0.0013-0.0015 |