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Energy Balance and Heat Storage
of Small Shallow Water Bodies
in Semi-arid Areas
Ali Abbasi
Department of Water Management
Delft University of Technology
28-11-2016
Promotor: Prof. Nick van de Giesen
Research Question
 There are some small lakes in Africa…
 There are no sufficient measurements …
 We have no money to carry out extra measurement …
 We need to know:
Evaporation
Circulation
Wind effects
Temperature Profiles
Heat exchanges
Velocity
TurbulenceCost-effective
Generalizable Easy-to-run etc.
Why Small & Shallow Lakes(1/2)?
 the only permanent open water bodies in (semi-)arid
regions;
 provide water to improve the food security, stimulate
the agricultural economy, livestock farming, fishing,
stock watering, brick making, etc.;
 contribute to local development (direct & indirect
economic activities);
 to slow down rural migration;
Why Small & Shallow Lakes(2/2)?
 improving farmers collaboration in rural communities;
 they are a priority for national governments and local
authorities;
 operationally efficient with high flexibility in (semi-)arid
regions with scattered rural population;
 the requirement for few parties to come together to
operate them (local community management);
 closeness to the point of use
Why Small & Shallow Lakes (Disadvantages)
 some possible threats to the sustainability of SSL:
siltation, the spread of water borne diseases,
deterioration of water quality;
 their dispersion can be considered as an obstacle to
access markets and ensuring farmers’ position in value
chains;
 These small shallow lakes are scattered in large
numbers, and hence monitoring them could be difficult
and costly on a regional scale.
 due to lack of maintenance, sub-optimal crop
management, and poor product marketing the
agronomic and economic performance of small
reservoirs are far from perfect;
 limited information on small reservoirs and the
inadequate in-situ measurements;
Introduction: Research Components
ABL: Atmospheric Boundary Layer;
SSLF: Small Shallow Lake Framework;
CFDEvap: CFD Evaporation Model;
WS:Water Surface;
SSL: Small Shallow Lake
Challenges …
Making Decisions!
 0-D/1-D/2-D/3-D Models?
 Open-Source & Free or Commercial Tools;
 Cost-effective; and Generalizable;
 Verification & Validation;
 Scales (e.g. ABL and SSL)
 Numerical Approaches (FVM/FEM/…);
 Computational Resources (HPC, HPC-Cloud, etc.);
 etc.
Region of Study
Upper East Region of Ghana
Region of Study
 +160 SSL in UER-Ghana;
 +2000 SSL in Upper Volta Basin;
Region of Study
 Population: 1 million
 Population density: 96.5 inhabitant/km2
 Poverty incidents: 88%
 Annual rainfall (average): 1100 mm
 90% of rainfall occurs as thunderstorms;
 Rainy season: late May … mid-October
 Dry season: November … early May
 Annual reference evaporation 2000 mm;
Lake Binaba
 Surface area : 31 ha
 Max. & ave. depth : 4.0 & 1.1 m
 Capacity : 1.2 million m3
 Irrigation scheme: 26 ha
Measurements
Evaporation Estimation
Mass Transfer Method
 Atmospheric Stability Conditions;
 Using over land measurements;
 Footprint (FP) Analysis;
 Heat Flux data Filtering;
 Daily averaged evaporation: 2.5 mm/day;
Mass Transfer Method
CFDEvap
 CFD: Computational Fluid dynamics;
 CFDEvap: Computational Fluid dynamics for
Evaporation estimation;
CFDEvap
CFDEvap
 min. 2.75 mm/day
 ave. 4.30 mm/day
 max. 5.90 mm/day
 Spatial distribution of heat fluxes
 evaporation
SSLF
 SSLF: Shallow Small Lake Framework
ABL Conditions Circulation Temperature
Heat storageEvaporation
SSLF
 Turbulent Flow
 Time-dependent & complex BC
 Data-scarcity
 Bathymetry (geometry)
Credit: http://aed.see.uwa.edu.au/research/models/GLM/overview.html
SSLF
SSLF
Credit: http://aed.see.uwa.edu.au/research/models/GLM/overview.html
ABL-WS
ABL: Atmospheric Boundary Layer
WS: Water Surface
 Interaction
between
ABL-WS
Measurement or Simulation?!
All models are fake.
But some can be useful.
Make a decision on: Accuracy or Utility?
Tools/Software
Free of charge &
Open Source Software
Commercial Software
Tools/Software
Commercial Software The Easy Road?!
Free/OS Software The Hard Road?!
The easy road often becomes hard, and the hard road often becomes easy
(Robert Kiyosaki)
Tools/Software
“Taking the Exit for the Hard Road”
Parallel Computing
• Parallel Simulation
• Decomposing, Reconstructing, etc.
• The optimized Number of CPUs
Parallel Computing
A graphical representation of Amdahl's law. The speed-up of a program from parallelization
is limited by how much of the program can be parallelized. For example, if 90% of the
program can be parallelized, the theoretical maximum speed-up using parallel computing
would be 10x no matter how many processors are used.
Computational Resources
PC (6 CPUs, 24GB Memory)
HPC03(Remote Sensing
Department) as a GUEST!
HPC-Cloud SURFsara
Conclusion
Both setting-up a model and raising a baby
will have errors. Don’t try to eliminate their
errors! Find a way for living with them!
Before starting to solve the problems, there
are no difficulties. When you try to find the
solution, everything seems difficult.
Summary
You have one hour free time to rest and
think about your dreams while I am
struggling to satisfy the committee
members;
After the defense, you are kindly invited to
the reception in the same building;
Thank You

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Presentation

  • 1. Energy Balance and Heat Storage of Small Shallow Water Bodies in Semi-arid Areas Ali Abbasi Department of Water Management Delft University of Technology 28-11-2016 Promotor: Prof. Nick van de Giesen
  • 2. Research Question  There are some small lakes in Africa…  There are no sufficient measurements …  We have no money to carry out extra measurement …  We need to know: Evaporation Circulation Wind effects Temperature Profiles Heat exchanges Velocity TurbulenceCost-effective Generalizable Easy-to-run etc.
  • 3. Why Small & Shallow Lakes(1/2)?  the only permanent open water bodies in (semi-)arid regions;  provide water to improve the food security, stimulate the agricultural economy, livestock farming, fishing, stock watering, brick making, etc.;  contribute to local development (direct & indirect economic activities);  to slow down rural migration;
  • 4. Why Small & Shallow Lakes(2/2)?  improving farmers collaboration in rural communities;  they are a priority for national governments and local authorities;  operationally efficient with high flexibility in (semi-)arid regions with scattered rural population;  the requirement for few parties to come together to operate them (local community management);  closeness to the point of use
  • 5. Why Small & Shallow Lakes (Disadvantages)  some possible threats to the sustainability of SSL: siltation, the spread of water borne diseases, deterioration of water quality;  their dispersion can be considered as an obstacle to access markets and ensuring farmers’ position in value chains;  These small shallow lakes are scattered in large numbers, and hence monitoring them could be difficult and costly on a regional scale.  due to lack of maintenance, sub-optimal crop management, and poor product marketing the agronomic and economic performance of small reservoirs are far from perfect;  limited information on small reservoirs and the inadequate in-situ measurements;
  • 6. Introduction: Research Components ABL: Atmospheric Boundary Layer; SSLF: Small Shallow Lake Framework; CFDEvap: CFD Evaporation Model; WS:Water Surface; SSL: Small Shallow Lake
  • 7. Challenges … Making Decisions!  0-D/1-D/2-D/3-D Models?  Open-Source & Free or Commercial Tools;  Cost-effective; and Generalizable;  Verification & Validation;  Scales (e.g. ABL and SSL)  Numerical Approaches (FVM/FEM/…);  Computational Resources (HPC, HPC-Cloud, etc.);  etc.
  • 8. Region of Study Upper East Region of Ghana
  • 9. Region of Study  +160 SSL in UER-Ghana;  +2000 SSL in Upper Volta Basin;
  • 10. Region of Study  Population: 1 million  Population density: 96.5 inhabitant/km2  Poverty incidents: 88%  Annual rainfall (average): 1100 mm  90% of rainfall occurs as thunderstorms;  Rainy season: late May … mid-October  Dry season: November … early May  Annual reference evaporation 2000 mm;
  • 11. Lake Binaba  Surface area : 31 ha  Max. & ave. depth : 4.0 & 1.1 m  Capacity : 1.2 million m3  Irrigation scheme: 26 ha
  • 14. Mass Transfer Method  Atmospheric Stability Conditions;  Using over land measurements;  Footprint (FP) Analysis;  Heat Flux data Filtering;  Daily averaged evaporation: 2.5 mm/day;
  • 16. CFDEvap  CFD: Computational Fluid dynamics;  CFDEvap: Computational Fluid dynamics for Evaporation estimation;
  • 18. CFDEvap  min. 2.75 mm/day  ave. 4.30 mm/day  max. 5.90 mm/day  Spatial distribution of heat fluxes  evaporation
  • 19. SSLF  SSLF: Shallow Small Lake Framework ABL Conditions Circulation Temperature Heat storageEvaporation
  • 20. SSLF  Turbulent Flow  Time-dependent & complex BC  Data-scarcity  Bathymetry (geometry) Credit: http://aed.see.uwa.edu.au/research/models/GLM/overview.html
  • 21. SSLF
  • 23. ABL-WS ABL: Atmospheric Boundary Layer WS: Water Surface  Interaction between
  • 25. Measurement or Simulation?! All models are fake. But some can be useful. Make a decision on: Accuracy or Utility?
  • 26. Tools/Software Free of charge & Open Source Software Commercial Software
  • 27. Tools/Software Commercial Software The Easy Road?! Free/OS Software The Hard Road?! The easy road often becomes hard, and the hard road often becomes easy (Robert Kiyosaki)
  • 28. Tools/Software “Taking the Exit for the Hard Road”
  • 29. Parallel Computing • Parallel Simulation • Decomposing, Reconstructing, etc. • The optimized Number of CPUs
  • 30. Parallel Computing A graphical representation of Amdahl's law. The speed-up of a program from parallelization is limited by how much of the program can be parallelized. For example, if 90% of the program can be parallelized, the theoretical maximum speed-up using parallel computing would be 10x no matter how many processors are used.
  • 31. Computational Resources PC (6 CPUs, 24GB Memory) HPC03(Remote Sensing Department) as a GUEST! HPC-Cloud SURFsara
  • 32. Conclusion Both setting-up a model and raising a baby will have errors. Don’t try to eliminate their errors! Find a way for living with them! Before starting to solve the problems, there are no difficulties. When you try to find the solution, everything seems difficult.
  • 33. Summary You have one hour free time to rest and think about your dreams while I am struggling to satisfy the committee members; After the defense, you are kindly invited to the reception in the same building;

Editor's Notes

  1. http://aed.see.uwa.edu.au/research/models/GLM/overview.html
  2. http://aed.see.uwa.edu.au/research/models/GLM/overview.html
  3. http://aed.see.uwa.edu.au/research/models/GLM/overview.html