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Numerical modelling of hydro, thermal and ice dynamics 
with application to Teletskoye Lake, Altai Republic, Russia 
04-11-2014, Delft 
ИВ П 
Erik De Goede 
Deltares 
Delft, the Netherlands 
Konstantin Koshelev 
IWEP SB RAS 
Barnaul, Russia
Content 
1. Teletskoye Lake as a case study 
2. Numerical results 
3. Resume 
4. Conclusion
Introduction 
In terms of climate change and increasing human pressure on water bodies and their watersheds urgent task is to improve water and environmental monitoring of the environment. 
One of direction of solving the problem is to develop mathematical models of hydrological and physico-chemical processes for assessing and predicting the state of ecosystems in large lakes and reservoirs. 
This requires the implementation of the correct setting of simulation (specified description of effective turbulent exchange, the formation of density stratification (thermocline and thermal bar), density flows, seiche fluctuations, etc.
A case study 
Телецкое озеро 
length – 78 км; 
maximum width – 5,2 км; 
average width– 2,9 км; 
maximum depth- 323 м; 
average depth – 174 м; 
volume – 41,1 км3; 
external water exchange- 5,3 years; 
70 permanent and 150 temporary inflows; 
low water temperature during the year; 
low salinity water– 57-110 μS/см.
Teletskoye Lake as a case study 
For the development of methods for mathematical modeling of deep stratified reservoirs, we experimentally and theoretically studied the thermal and gas regimes in Teletskoye Lake - a unique natural reservoir in the south of Western Siberia. 
The Teletskoye Lake ecosystem is complex and has been studied in many major national and international research programs. 
In the 90’s Teletskoye Lake was considered as one of the reservoirs analog of the designed Katun reservoir in the environmental assessment study of the Katun hydroelectric power plants project. A number of 1DV-models for physical and chemical processes in deep stratified reservoirs have been developed in IWEP SB RAS (Zinoviev A.T.).
Visual form of Teletskoye Lake basin DEM 
To simulate the physical and chemical processes in Teletskoye Lake, data on the morphometric characteristics of its basin are required 
On the basis of the field data in a GIS project "Teletskoye Lake" the digital elevation model (DEM) of the lake basin was built (Marusin K.V.)
Numerical results A special version of Delft3D 
The sea-ice module in Delft3D, which is a flexible integrated modelling suite for hydrothermodynamics, morphology (waves, water quality) and interactions between these processes. (Erik De Goede) 
The state equation in which density is a function of temperature, salinity and pressure. TEOS-10 and the Chen-Millero empirical formulas are implemented. 
Other important Delft3D parameters 
Z-model with 60-80 layers, k-e turbulence model, vertical eddy viscosity/diffusivity 
Ocean heat flux model, Secchi depth 
Weather data 
Albedo of ice/snow
Typical velocity magnitude
Comparison of calculated and measured* temperature distribution along the vertical direction in the deepest point of the Teletskoye Lake 25.07.2013 
* Zinoviev A.T., Dyachenko A.V.
Comparison of calculated and measured* temperature distribution along the vertical direction in the deepest point of the Teletskoye Lake 29.08.2013 
* Zinoviev A.T., Dyachenko A.V.
Comparison of calculated and measured* temperature distribution along the vertical direction in the deepest point of the Teletskoye Lake 17.10.2013 
* Zinoviev A.T., Dyachenko A.V.
Computed temperature on 13.03.2014
The typical density stratification for the summer
Density stratification for the autumn period
Density stratification for the autumn season. An example of an unstable stratification
Typical density stratification for the winter period
Typical density stratification for the spring period
Comparison of different approximations for effective back radiation 
Tsurface=0 C, Relative humidity=50%, Cloud coverage=70%
Computed ice thickness during the coldest period
Computed ice thickness on 13.03.2014
Resume 
The calculation results in the summer stable stratification period are in good agreement with the available measured data. 
The calculation results in the autumn unstable stratification period indicate that further work is needed to improve the model (turbulence?). 
Simulation of ice processes sets increased demands on the required field data. Most of the model parameters must be space and time varying. Although field data are at the moment not available in the right quantity and with the necessary precision, the implemented computer model has shown its efficiency to predict the growth and melting of ice on a deep lake.
Conclusion 
A special version of Delft3D is used for 3D hydrothermodynamic modelling in combination with 2D ice dynamics modelling. Results of calculations for the Teletskoye lake are in satisfactory agreement with the available field data. 
It is shown that the density stratification has a huge impact on flow parameters and ice thickness on Lake Teletskoye. The work to improve the hydrothermodynamics model should continue, taking into account an integrated ice module. 
The data collection to refine the specific effects of the formation of density stratification of Teletskoye Lake should continue during different hydrological seasons and different weather conditions. It is important to exchange the experiences of such research on other large lakes in Russia and elsewhere in the world.
Thank you for your attention

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Numerical Modelling of Hydro, Thermal Dynamics in Teletskoye Lake

  • 1. Numerical modelling of hydro, thermal and ice dynamics with application to Teletskoye Lake, Altai Republic, Russia 04-11-2014, Delft ИВ П Erik De Goede Deltares Delft, the Netherlands Konstantin Koshelev IWEP SB RAS Barnaul, Russia
  • 2. Content 1. Teletskoye Lake as a case study 2. Numerical results 3. Resume 4. Conclusion
  • 3. Introduction In terms of climate change and increasing human pressure on water bodies and their watersheds urgent task is to improve water and environmental monitoring of the environment. One of direction of solving the problem is to develop mathematical models of hydrological and physico-chemical processes for assessing and predicting the state of ecosystems in large lakes and reservoirs. This requires the implementation of the correct setting of simulation (specified description of effective turbulent exchange, the formation of density stratification (thermocline and thermal bar), density flows, seiche fluctuations, etc.
  • 4. A case study Телецкое озеро length – 78 км; maximum width – 5,2 км; average width– 2,9 км; maximum depth- 323 м; average depth – 174 м; volume – 41,1 км3; external water exchange- 5,3 years; 70 permanent and 150 temporary inflows; low water temperature during the year; low salinity water– 57-110 μS/см.
  • 5. Teletskoye Lake as a case study For the development of methods for mathematical modeling of deep stratified reservoirs, we experimentally and theoretically studied the thermal and gas regimes in Teletskoye Lake - a unique natural reservoir in the south of Western Siberia. The Teletskoye Lake ecosystem is complex and has been studied in many major national and international research programs. In the 90’s Teletskoye Lake was considered as one of the reservoirs analog of the designed Katun reservoir in the environmental assessment study of the Katun hydroelectric power plants project. A number of 1DV-models for physical and chemical processes in deep stratified reservoirs have been developed in IWEP SB RAS (Zinoviev A.T.).
  • 6. Visual form of Teletskoye Lake basin DEM To simulate the physical and chemical processes in Teletskoye Lake, data on the morphometric characteristics of its basin are required On the basis of the field data in a GIS project "Teletskoye Lake" the digital elevation model (DEM) of the lake basin was built (Marusin K.V.)
  • 7. Numerical results A special version of Delft3D The sea-ice module in Delft3D, which is a flexible integrated modelling suite for hydrothermodynamics, morphology (waves, water quality) and interactions between these processes. (Erik De Goede) The state equation in which density is a function of temperature, salinity and pressure. TEOS-10 and the Chen-Millero empirical formulas are implemented. Other important Delft3D parameters Z-model with 60-80 layers, k-e turbulence model, vertical eddy viscosity/diffusivity Ocean heat flux model, Secchi depth Weather data Albedo of ice/snow
  • 9. Comparison of calculated and measured* temperature distribution along the vertical direction in the deepest point of the Teletskoye Lake 25.07.2013 * Zinoviev A.T., Dyachenko A.V.
  • 10. Comparison of calculated and measured* temperature distribution along the vertical direction in the deepest point of the Teletskoye Lake 29.08.2013 * Zinoviev A.T., Dyachenko A.V.
  • 11. Comparison of calculated and measured* temperature distribution along the vertical direction in the deepest point of the Teletskoye Lake 17.10.2013 * Zinoviev A.T., Dyachenko A.V.
  • 13. The typical density stratification for the summer
  • 14. Density stratification for the autumn period
  • 15. Density stratification for the autumn season. An example of an unstable stratification
  • 16. Typical density stratification for the winter period
  • 17. Typical density stratification for the spring period
  • 18. Comparison of different approximations for effective back radiation Tsurface=0 C, Relative humidity=50%, Cloud coverage=70%
  • 19. Computed ice thickness during the coldest period
  • 20. Computed ice thickness on 13.03.2014
  • 21. Resume The calculation results in the summer stable stratification period are in good agreement with the available measured data. The calculation results in the autumn unstable stratification period indicate that further work is needed to improve the model (turbulence?). Simulation of ice processes sets increased demands on the required field data. Most of the model parameters must be space and time varying. Although field data are at the moment not available in the right quantity and with the necessary precision, the implemented computer model has shown its efficiency to predict the growth and melting of ice on a deep lake.
  • 22. Conclusion A special version of Delft3D is used for 3D hydrothermodynamic modelling in combination with 2D ice dynamics modelling. Results of calculations for the Teletskoye lake are in satisfactory agreement with the available field data. It is shown that the density stratification has a huge impact on flow parameters and ice thickness on Lake Teletskoye. The work to improve the hydrothermodynamics model should continue, taking into account an integrated ice module. The data collection to refine the specific effects of the formation of density stratification of Teletskoye Lake should continue during different hydrological seasons and different weather conditions. It is important to exchange the experiences of such research on other large lakes in Russia and elsewhere in the world.
  • 23. Thank you for your attention