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Objectives Perform an uncertainty analysis about the performance and effect on the flood of the main reservoirs and polders from the Timis Bega catchment Development of flood hazard maps for the extreme event occurred in 2005 Develop new lead time curves (water level at station vs time for flood) Test novel uncertainty analysis method in relation to the particular modeling methodology and the case study Study the application of cloud computing to the menthioned modeling and uncertainty analysis
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Page 1: Presentation

ObjectivesPerform an uncertainty analysis about the

performance and effect on the flood of the main reservoirs and polders from the Timis Bega catchment

Development of flood hazard maps for the extreme event occurred in 2005

Develop new lead time curves (water level at station vs time for flood)

Test novel uncertainty analysis method in relation to the particular modeling methodology and the case study

Study the application of cloud computing to the menthioned modeling and uncertainty analysis

Page 2: Presentation

Research questions

How can the knowledge about reservoirs and polders performance help to improve flood management in the Timis Bega catchment?

What is the lead time for the Timis River? How cloud computing can be used to

improve uncertainty analysis related to complex water management systems?

Page 3: Presentation

Methodology

Numerical modelling Uncertainty analysis Flood hazard maps Cloud computing

Page 4: Presentation

Numerical modelingHEC – HMS V 3.0 (or higher)

Discharge, Water level HEC – RAS V 3.1.3 (or higher)

Discharge, Water level

Volume water that overflow SOBEK 1D2D V 2.09 (or

higher)

Velocities, Depth

Page 5: Presentation

Numerical modelling

Most data available Based on models of Onyari (2008) (An integrated modelling approach for flood hazard and mitigation analysis: A Case study of Timis Bega catchment, Romania)

Page 6: Presentation

Numerical modelling

Additional data needed Reservoirs & polders

(Elevation – storage, or storage – outflow)

Tasks to be added Reservoirs and polders (HMS) Storage areas & lateral dam break (RAS)

Page 7: Presentation

UncertaintyPerformance of reservoirs and polders

defined by initial water level

Page 8: Presentation

UncertaintyTarget data

Storage area connected by

lateral weir break

Storage area connected by

lateral weir break

Error:

Volume of water that overflows

Volume of water in storage areas

Estimated overflow 2005 = 300M m3(Onyary 2008,

Teodorescu 2005)

Page 9: Presentation

Uncertainty

•Bayesian approach

•Based on the equifinality concept

Monte Carlo DREAM

GLUE

Page 10: Presentation

Uncertainty

GLUE approach

N

obs

iobsobsi x

xxxxL

1)\(

(Zak et al. 1997)

•Bayesian approach

•Based on the equifinality concept

Page 11: Presentation

Flood Hazard

SOBEK results

ARCGIS 9.1 (or higer)

RASTER MAPS

Page 12: Presentation

Flood Hazard

Velocity

+

Depth

=

Flood hazard

SOBEK results

ARCGIS 9.1 (or higer)

RASTER MAPS

Page 13: Presentation

Flood hazard

Surendam et al. 2008Carr et al. 2008

Page 14: Presentation

Cloud computing

Page 15: Presentation

Cloud Computing

Create an Amzon ECC count

Create an AMI

Upload HEC - HMS and HEC - RAS

Page 16: Presentation

Planning Activities

ID Task Name Duration

1 Writing 342 days

2 writing the final thesis 342 days

3 Numerical Modelling 155 days

4 Introduce storage area to RAS 5 days

5 Introduce lateral dams to RAS 5 days

6 Introduce Reservoirs to HMS 5 days

7 Run HEC - HMS 150 days

8 Run HEC - RAS 150 days

9 Run Sobek 30 days

10 Uncertainty 199 days

11 Write GLUE code 15 days

12 Perform GLUE 179 days

13 Obtain 95% quantil 15 days

14 Cloud computing 131 days?

15 Get started at Amazon WS 1 day?

16 Create AMI 15 days

17 Load HEC - RAS & HEC - HMS 15 days

18 Run the models in the cloud 100 days

19 Hazard & lead time 15 days

20 Create a velocity raster map 5 days

21 Create water level raster map 5 days

22 Combine the map according the criteria 5 days

23 Get final hazard map 5 days

24 Get lead time curve from HMS 10 days

25 Results & conclusion 30 days

26 Analyze the results 15 days

27 Deduce conclusions & recommendations 15 days

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar

342

Page 17: Presentation

Planning Activities

ID Task Name Duration

1 Writing 342 days

2 writing the final thesis 342 days

3 Numerical Modelling 155 days

4 Introduce storage area to RAS 5 days

5 Introduce lateral dams to RAS 5 days

6 Introduce Reservoirs to HMS 5 days

7 Run HEC - HMS 150 days

8 Run HEC - RAS 150 days

9 Run Sobek 30 days

10 Uncertainty 199 days

11 Write GLUE code 15 days

12 Perform GLUE 179 days

13 Obtain 95% quantil 15 days

14 Cloud computing 131 days?

15 Get started at Amazon WS 1 day?

16 Create AMI 15 days

17 Load HEC - RAS & HEC - HMS 15 days

18 Run the models in the cloud 100 days

19 Hazard & lead time 15 days

20 Create a velocity raster map 5 days

21 Create water level raster map 5 days

22 Combine the map according the criteria 5 days

23 Get final hazard map 5 days

24 Get lead time curve from HMS 10 days

25 Results & conclusion 30 days

26 Analyze the results 15 days

27 Deduce conclusions & recommendations 15 days

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar

According to the advance the schedule can change & new task could be addded

•Uncertainty analysis with DREAM

•Implement a DSS

•Others

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