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
, , e
25 mag 2018
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 25 mag 2018
Pagine: 21 - 29
DOI: https://doi.org/10.2478/oszn-2018-0005
Parole chiave
© 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=20250912T075801Z&X-Amz-Expires=3600&X-Amz-Signature=0e917247be8f7d229ebb1c2ad83549f6431c84a2b02279594240b2acaf52b12e&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=20250912T075801Z&X-Amz-Expires=3600&X-Amz-Signature=daff5a1711bed0d1e81d577de6cd71f43be6b8755d3fa11d2d31cac7e1f20f1a&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=20250912T075801Z&X-Amz-Expires=3600&X-Amz-Signature=53cdce4b0191763bbeb0770a6cdea1e258d0e0e87e80b0b7269e2167e5a6ee22&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=20250912T075801Z&X-Amz-Expires=3600&X-Amz-Signature=d507b90b0bd4441528f1da73542a552a9b3d439b9e1bf0bc2b822f4843e546a4&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 |