1. HydroAsia face-to-face meeting Opening presentation

2. 2010 team Purple Purple team members

3. 2010 team Purple  From university of Nice Sophia-Antipolis  Major: Hydrology, hydraulics  Hobby: Football, music  Contact : barrseb9@euroaquae.eubarrseb9@euroaquae.eu Sebastien BARRIERE

4. 2010 team Purple  From university of Nice Sophia-Antipolis  Major: Hydrology, hydraulics  Hobby: sport, travel  Contact : lyonseb9@euroaquae.eulyonseb9@euroaquae.eu Sebastien LYONNET

5. 2010 team Purple  From Kyoto University  Major: urban hydrology, river water and ground water analysis.  Hobby: Baseball, travel, archery  Contact: torihir0@euroaquae.eutorihir0@euroaquae.eu Hiroyuki TORII

6. 2010 team Purple  From Chuo University  Major: Civil engineering  Hobby: tennis, table tennis, travel  Contact: sen.chouchou@gmail.comsen.chouchou@gmail.com QIAN CHAOCHAO

7. 2010 team Purple  From University of Incheon  Major: Hydrology, hydraulics  Hobby: Basketball  Contact: kimsej0@euroaquae.eukimsej0@euroaquae.eu KIM SEJIN

8. 2010 team Purple  Ahn tuan  From Beijing University of Technology  Major: civil engineering  Hobby: music  Contact: wengyaoyao@emails.bjut.edu.cnwengyaoyao@emails.bjut.edu.cn WENG YAO-YAO

9. 2010 team Purple  Ahn tuan  From National University of Singapore  Major: civil engineering  Hobby: Travel, music  Contact: daoahn0@euroaquae.eudaoahn0@euroaquae.eu DAO AHN TUAN

10. 2010 team Purple  From Chuo University  Major: Civil engineering  Hobby: tennis, table tennis, travel  Contact: sen.chouchou@gmail.comsen.chouchou@gmail.com QIAN CHAOCHAO

11. 2010 team Purple  Ahn tuan  From University of Incheon  Major: Hydrology, hydraulics  Hobby: Baseball, football  Contact: jangdon0@euroaquae.eujangdon0@euroaquae.eu JANG DONG WOO

12. 2010 team Purple

14. Triangular Irregular Network Contour Manholes Raster Building and road layers Digital Elevation Model

15. 2010 team Purple

19. Orde r Date [day, month, year] Precipitation [mm/event] 1 15 th July 2006~19 th July 2006 291.5 2 25 th July 2006~30 th July 2006 241.5 3 11 th July 2006~13 th July 2006 158 4 14 th July 2004~17 th July 2004 150.5 5 27 th July 2005~28 th 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) Orde r Date [day, month, year] Max Intensity [mm/event] 1 27 th July 2005~28 th July 2005 47.5 2 25 th July 2006~30 th July 2006 37.5 3 11 th July 2006~13 th July 2006 34.6 4 12 th Sep 2005~13 th Sep 2005 32.5 5 26 th June 2005~27 th June 2005 30.5 Table1 : Top5 events of the biggest amount per 1 event. Table2 : Top5 events of the highest rainfall intensity.

20. 2010 team Purple  We made both the heaviest rainfall event and the highest rainfall intensity event hyetographs. Hydrology Study(1)

21. 2010 team Purple  1 st step: Intensity‐Duration‐Frequency Estimates Design flows established from: Rainfall intensities for storms of particular duration and return period.

22. 2010 team Purple  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)

23. 2010 team Purple MIKE ZERO DEM MIKE 21 Simulating the surface flow Simulating the sewer network flow MOUSE MIKE FLOOD Coupling MOUSE with MIKE21 Results

24. 2010 team Purple DEM: Boundaries Conditions ： Simulation period MIKE 21 Simulating the surface flow ・ buildings ・ roads ・ manholes ・ … ・ sea level ・ pump operations ・ … Rainfall

25. 2010 team Purple MOUSE Sewer Network Boundaries conditions Simulation Period Simulation of the Sewer Network flow

26. 2010 team Purple Analysis of flood damage reduction by green area increase

27. 2010 team Purple  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

28. 2010 team Purple  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...

29. 2010 team Purple