HydroAsia face-to-face meeting Opening presentation.

29
2010 TEAM PURPLE HydroAsia face-to-face meeting Opening presentation

Transcript of HydroAsia face-to-face meeting Opening presentation.

Page 1: HydroAsia face-to-face meeting Opening presentation.

2010 TEAM PURPLEHydroAsia face-to-face meeting

Opening presentation

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Team presentationPurple team members

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From university of Nice Sophia-Antipolis

Major: Hydrology, hydraulics

Hobby: Football, music

Contact : [email protected]

Team presentation

Sebastien BARRIERE

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2010 team Purple2010 team Purple

From university of Nice Sophia-Antipolis

Major: Hydrology, hydraulics

Hobby: sport, travel

Contact : [email protected]

Team presentation

Sebastien LYONNET

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2010 team Purple2010 team Purple

From Kyoto University

Major: urban hydrology, river water and ground water analysis.

Hobby: Baseball, travel, archery

Contact: [email protected]

Team presentation

Hiroyuki TORII

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From Chuo University

Major: Civil engineering

Hobby: tennis, table tennis, travel

Contact: [email protected]

Team presentation

QIAN CHAOCHAO

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From University of Incheon

Major: Hydrology, hydraulics

Hobby: Basketball

Contact: [email protected]

Team presentation

KIM SEJIN

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Ahn tuan

From Beijing University of Technology

Major: civil engineering

Hobby: music

Contact: [email protected]

Team presentation

WENG YAO-YAO

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Ahn tuan

From National University of Singapore

Major: civil engineering

Hobby: Travel, music

Contact: [email protected]

Team presentation

DAO AHN TUAN

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2010 team Purple2010 team Purple

From Chuo University

Major: Civil engineering

Hobby: tennis, table tennis, travel

Contact: [email protected]

Team presentation

QIAN CHAOCHAO

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2010 team Purple2010 team Purple

Ahn tuan

From University of Incheon

Major: Hydrology, hydraulics

Hobby: Baseball, football

Contact: [email protected]

Team presentation

JANG DONG WOO

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Workplan

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Location of the study area

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ArcGIS: catchment model

Triangular Irregular Network

•Contour•Manholes

Raster

Building and road layers

Digital Elevation Model

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DATA-MANHOLE

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DATA-COUNTOUR

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TIN CREATION

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DEM

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Real Precipitation Treatment (1) Ord

erDate [day, month, year]

Precipitation

[mm/event]

1 15th July 2006 ~ 19th July 2006 291.5

2 25th July 2006 ~ 30th July 2006 241.5

3 11th July 2006 ~ 13th July 2006 158

4 14th July 2004 ~ 17th July 2004 150.5

5 27th July 2005 ~ 28th July 2005 127.7

We organized precipitation data ( Incheon; 2004 ~ 2007) and summarized rainfall events.

We picked up the heaviest amount rainfall event and the highest rainfall intensity event.

Hydrology Study(1)

Order

Date [day, month, year]

Max Intensity

[mm/event]

1 27th July 2005 ~ 28th July 2005 47.5

2 25th July 2006 ~ 30th July 2006 37.5

3 11th July 2006 ~ 13th July 2006 34.6

4 12th Sep 2005 ~ 13th Sep 2005 32.5

5 26th June 2005 ~ 27th June 2005 30.5

Table1 : Top5 events of the biggest amount per 1 event.

Table2 : Top5 events of the highest rainfall intensity.

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We made both the heaviest rainfall event and the highest rainfall intensity event hyetographs.

22(2

7th) 24

02(2

8th) 04 06 08 10 12 14 16 18

0.0 5.0

10.0 15.0 20.0 25.0 30.0 35.0 40.0 45.0 50.0

Hyetograph (27th~28th July 2005)

date[hour(day)]

pre

cip

itati

on

[mm

]

04(1

5th)

10 16 22

04(1

6th)

10 16 22

04(1

7th)

10 16 22

04(1

8th)

10 16 22

04(1

9th)

0.0

5.0

10.0

15.0

20.0

25.0

30.0

Hyetograph (15th ~ 19th July 2006)

date[hour(day)]

pre

cip

itati

on

[mm

]

Real Precipitation Treatment (2)

Hydrology Study(1)

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1st step: Intensity‐Duration‐Frequency Estimates• Design flows established from: Rainfall intensities for storms of particular duration and return period. 

Probability Rainfall Analysis

0 200 400 600 800 1000 12000

20

40

60

80

100

120

140

160

IDF curves

100 years

50 years

10 years

Duration (min)

Inte

nsi

ty (

mm

/h)

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Probability Rainfall Analysis (2)

15 45 75 105

135

165

195

225

255

285

315

345

0

5

10

15

20

25

30

35

40

Hyetograph, 6h storm - 100 years return period

100 years50 years10 years

2nd step: Develop design hyetograph from IDF curve - We made a 6h storm -by using the alternative block method.

Input rainfall data into Mouse boundary conditions.

Hydrology Study(2)

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DHI MIKEProcess Flowchart

MIKE ZERO

DEM

MIKE 21MIKE 21

Simulating the surface flow Simulating the sewer network flow

MOUSE

MIKE FLOOD

Coupling MOUSE with MIKE21

Results

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DHI MIKE 21 Process Flowchart

  DEM:Boundaries Conditions:

Simulation period

MIKE 21Simulating the surface flow

・ buildings・ roads・manholes・…

・ sea level・ pump operations・…  Rainfall

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MIKE MOUSE

Rainfall

data &

water level

MOUSE

Sewer Network

Boundaries

conditions

Simulation

Period

Simulation of the Sewer

Network flow

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Project studyAnalysis of flood damage reduction by green area increase

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Analysis of flood damage reduction by green area increase

Green areas allows: ◦ water drainage : runoff decrease

Depression shape: additional water storage during rainfall◦ Relieves sewer system discharge◦ Slows down the water flow, narrows flood peak

Increases well-being and quality of life of the city's inhabitants, environmental friendly

Project subject

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Determine the location of these green areas◦ Nature of soil and landuse?◦ Size?◦ Dimensions?◦ Number?

Use of ArcGIS to determine potential locations

Run the calibrated model again with new catchment characteristics and subsequently choose best solution...

Targets, next steps

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Thank you for your attention