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2010 TEAM PURPLE

2010 TEAM PURPLE. HydroAsia face-to-face meeting Opening presentation. Team presentation. Purple team members. Team presentation. Sebastien BARRIERE. From university of Nice Sophia- Antipolis Major : Hydrology, hydraulics Hobby : Football, music Contact : barrseb9@euroaquae.eu.

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2010 TEAM PURPLE

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  1. 2010 TEAM PURPLE HydroAsia face-to-face meeting Opening presentation

  2. Team presentation Purple team members

  3. Team presentation Sebastien BARRIERE • From university of Nice Sophia-Antipolis • Major: Hydrology, hydraulics • Hobby: Football, music • Contact : barrseb9@euroaquae.eu

  4. Team presentation Sebastien LYONNET • From university of Nice Sophia-Antipolis • Major: Hydrology, hydraulics • Hobby: sport, travel • Contact : lyonseb9@euroaquae.eu

  5. Team presentation • From Kyoto University • Major: urban hydrology, river water and ground water analysis. • Hobby: Baseball, travel, archery • Contact: torihir0@euroaquae.eu Hiroyuki TORII

  6. Team presentation QIAN CHAOCHAO • From Chuo University • Major: Civil engineering • Hobby: tennis, table tennis, travel • Contact: sen.chouchou@gmail.com

  7. Team presentation KIM SEJIN • FromUniversity of Incheon • Major: Hydrology, hydraulics • Hobby: Basketball • Contact: kimsej0@euroaquae.eu

  8. Team presentation WENG YAO-YAO • Ahntuan • FromBeijingUniversity of Technology • Major: civil engineering • Hobby: music • Contact: wengyaoyao@emails.bjut.edu.cn

  9. Team presentation DAO AHN TUAN • Ahntuan • FromNational University of Singapore • Major: civil engineering • Hobby: Travel, music • Contact: daoahn0@euroaquae.eu

  10. Team presentation QIAN CHAOCHAO • From Chuo University • Major: Civil engineering • Hobby: tennis, table tennis, travel • Contact: sen.chouchou@gmail.com

  11. Team presentation JANG DONG WOO • Ahntuan • FromUniversity of Incheon • Major: Hydrology, hydraulics • Hobby: Baseball, football • Contact: jangdon0@euroaquae.eu

  12. Workplan

  13. Location of the study area

  14. ArcGIS: catchment model Triangular Irregular Network • Contour • Manholes Building and road layers Raster Digital Elevation Model

  15. DATA-MANHOLE

  16. DATA-COUNTOUR

  17. TIN CREATION

  18. DEM

  19. Hydrology Study(1) Real Precipitation Treatment (1) Table1 : Top5 events of the biggest amount per 1 event. • 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. Table2 : Top5 events of the highest rainfall intensity.

  20. Hydrology Study(1) Real Precipitation Treatment (2) • We made both the heaviest rainfall event and the highest rainfall intensity event hyetographs.

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

  22. Hydrology Study(2) Probability Rainfall Analysis (2) • 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.

  23. Results DHI MIKEProcess Flowchart MIKE ZERO MIKE 21 MOUSE DEM Simulating the surface flow Simulating the sewer network flow MIKE FLOOD Coupling MOUSE with MIKE21

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

  25. MIKE MOUSE Sewer Network Boundaries conditions Simulation Period Rainfall data & water level MOUSE Simulation of the Sewer Network flow

  26. Project study Analysis of flood damage reduction by green area increase

  27. Project subject • 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. Targets, next steps • 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. Thank you for your attention

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