Grid computing for Civil Protection An application about flash flood - - PowerPoint PPT Presentation

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Grid computing for Civil Protection An application about flash flood - - PowerPoint PPT Presentation

Grid computing for Civil Protection An application about flash flood forecasting: first results and lesson learnt Ayral P.-A. 1 Thierion V. 1 , Angelini V. 2 , Mazzetti P. 2 , Nativi S. 2 , Sauvagnargues-Lesage S. 1 1 : Ecole des Mines dAls


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SLIDE 1

Grid computing for Civil Protection

Ayral P.-A.1

An application about flash flood forecasting: first results and lesson learnt

ISGC Symposium Taipei, 9-12 Marsh 2010

Thierion V.1, Angelini V. 2, Mazzetti P. 2, Nativi S.2, Sauvagnargues-Lesage S. 1

1 : Ecole des Mines d’Alès (EMA, France) 2 : Instituto di Metodologie per l’Analisi Ambientale (CNT-IMAA, Italia)

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SLIDE 2

bigagli@imaa.cnr.it

Outlines

How Grid Technology enhance Civil Protection functioning such as Flash Flood crisis management ? 1- Grid computing for Civil Protection (CYCLOPS) 2- Flash flood crisis management context 3- G-AHTAÏR 4- Lesson learnt 5- Conclusion

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 3

bigagli@imaa.cnr.it

Grid computing for Civil Protection

Bridging the gap between the two communities and requirements gathering :

  • 1. Understand Civil Protection requirements in term of innovative

technologies

  • 2. Define grid technological improvements according to
  • perational requirements
  • 3. Development of a grid-enabled architecture for CP issues
  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

2 Case studies about forest fires and flash floods

Which Modalities

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SLIDE 4

bigagli@imaa.cnr.it

Flash flood crisis management context – The phenomenon

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

1/6

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SLIDE 5

bigagli@imaa.cnr.it

Flash flood crisis management context – The last event: September 2002

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

2/6

Rainfall situation

  • 1. Rapid phenomena

⇒ less than a half of day

  • 2. Important accumulation

⇒ about 600 mm

  • 3. Large extent

⇒ About 5000 km²

⇒ 22 victimes in the Gard Region ⇒ 120 millions € of damages

Gard Region

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SLIDE 6

bigagli@imaa.cnr.it

Le Pont du Gard

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Flash flood crisis management context – The last event: September 2002

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 7

bigagli@imaa.cnr.it

Sommières

2/6

Flash flood crisis management context – The last event: September 2002

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 8

bigagli@imaa.cnr.it

Le Pont de Ners

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Flash flood crisis management context – The last event: September 2002

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 9

bigagli@imaa.cnr.it

Flash flood crisis management context – French Civil Protection for

flood hazard management

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

3/6

Multi-scales Organization Multi-partners organization

Flash flood use-case developed in the framework of Cyclops project as grid adoption faisability study for Civil Protection whole functioning

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SLIDE 10

bigagli@imaa.cnr.it Mediterranean sea

X 10 Zones (64 x 64 km) X 170 stations and 20 watersheds

100 km

Flash flood crisis management context – Grand Delta Flood Warning Service

(SPC-GD)

4/6

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 11

bigagli@imaa.cnr.it

Flash flood crisis management context – SPC-GD Information System

5/6

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 12

bigagli@imaa.cnr.it

Radar rainfall data

Flash flood crisis management context – SPC-GD Information System

6/6

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

Hydrological modelling and Geospatial Information System

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SLIDE 13

bigagli@imaa.cnr.it

G-ALHTAÏR

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

1/6

Objectives

 Porting hydrological modeling of SPC-GD (existing in SPC-GD)  Developing a flash flood forecasting module (innovative module)  Real time simulation  Forecast scenario (1h, 2h, 3h, 4h and 5h)

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SLIDE 14

bigagli@imaa.cnr.it

G-ALHTAÏR

2/6

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion
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SLIDE 15

bigagli@imaa.cnr.it

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

G-ALHTAÏR

3/6

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SLIDE 16

bigagli@imaa.cnr.it

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

G-ALHTAÏR

4/6

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SLIDE 17

bigagli@imaa.cnr.it

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

G-ALHTAÏR

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Potentially, forecaster can launch almost simultaneously more than 600 forecasting simulations

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SLIDE 18

bigagli@imaa.cnr.it

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

G-ALHTAÏR

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A Webmapping interface for the forecaster

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SLIDE 19

bigagli@imaa.cnr.it

Lesson learnt

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

1/2

For forecaster and hydrologist

  • 1. Unlimited computational and storage resources
  • 2. Ubiquitous functioning corresponding crisis management

requirements (field investigation, rescues

  • perations,

continuous decision making process, shared knowledge, …)

  • 3. Operational solution to handle well-known limitations of short-

term meteorological prediction (few hours)

  • 4. Give an integrated framework to gather data, tools and skills
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SLIDE 20

bigagli@imaa.cnr.it

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

Further research

  • 1. Dynamic workflows composition of simple OWS to handle

more complex tasks

  • 2. Gather the whole of crisis management actors around the

designed e-collaboration platform G-ALHTAIR

  • 3. Design a grid use and data policies in order to guarantee fast

responses of the operational services and consequently grid resources unpredictable access.

Lesson learnt

2/2

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SLIDE 21

bigagli@imaa.cnr.it

Conclusion

  • Outlines
  • CYCLOPS
  • Flash flood
  • G-ALHTAÏR
  • Lesson learnt
  • Conclusion

Grid Technology  Flash-Flood crisis management

Computational Power Storage capacities

  • 1. Calibration models in post and

real-time

  • 2. Monitoring and forecasting

large-scale hydrological situation in crisis phase

  • 3. Design a real-time

hydrological modelling platform for models inter- comparison

  • 1. A Virtual Organization for all

Civil Protection actors

  • 2. Improve geospatial services to

a better reliability of the crisis management

  • 3. Integrate the whole of data

and information for lessons learnt process (operational and scientific aspects)

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SLIDE 22

bigagli@imaa.cnr.it

Thanks for your Attention

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SLIDE 23

Grid computing for Civil Protection

Ayral P.-A.1

An application about flash flood forecasting: first results and lesson learnt

ISGC Symposium Taipei, 9-12 Marsh 2010

Thierion V.1, Angelini V. 2, Mazzetti P. 2, Nativi S.2, Sauvagnargues-Lesage S. 1

1 : Ecole des Mines d’Alès (EMA, France) 2 : Instituto di Metodologie per l’Analisi Ambientale (CNT-IMAA, Italia)

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SLIDE 24

bigagli@imaa.cnr.it

RRM-GRID

SPC-GD Local system User Interface Grid infrastructure

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SLIDE 25

bigagli@imaa.cnr.it

105 tasks simulating 1, 2, 3, 4 and 5 hours of forecast horizons with variations from -50% to 50% with 5% step.

RRM-GRID