HYDROASIA 2008
This presentation is the property of its rightful owner.
Sponsored Links
1 / 39

HYDROASIA 2008 FLOOD ANALYSIS STUDY AT INCHEON GYO CATCHMENT PowerPoint PPT Presentation


  • 60 Views
  • Uploaded on
  • Presentation posted in: General

HYDROASIA 2008 FLOOD ANALYSIS STUDY AT INCHEON GYO CATCHMENT. TEAM GREEN NGUYEN HOANG HUYSUN YABIN GWON YONGHYEON SUZUKI ATSUNORI LI WENTAO LEE CHANJONG. ADVISERS: Prof. LIONG SHIE YUI Prof. TANAKA KENJI. OUTLINE BACKGROUND OF CATCHMENT MODELING TOOLS - SOBEK

Download Presentation

HYDROASIA 2008 FLOOD ANALYSIS STUDY AT INCHEON GYO CATCHMENT

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Hydroasia 2008 flood analysis study at incheon gyo catchment

HYDROASIA 2008

FLOOD ANALYSIS STUDY AT

INCHEON GYO CATCHMENT

TEAM GREEN

NGUYEN HOANG HUYSUN YABIN

GWON YONGHYEON SUZUKI ATSUNORI

LI WENTAO LEE CHANJONG

ADVISERS: Prof. LIONG SHIE YUI

Prof. TANAKA KENJI


Hydroasia 2008 flood analysis study at incheon gyo catchment

  • OUTLINE

  • BACKGROUND OF CATCHMENT

  • MODELING TOOLS

  • - SOBEK

  • - MOUSE

  • SIMULATION RESULTS

  • FORECASTING: NEURAL NETWORKS

  • FORECAST RESULTS

  • CONCLUSION

  • Q & A


Incheon gyo watershed

INCHEON-GYO WATERSHED


Hydroasia 2008 flood analysis study at incheon gyo catchment

Incheon

  • Located in the mid-west Korea peninsula near Yellow Sea

  • With both international port and international airport

  • The third biggest city in Korea

  • Population : 2,730 thousand


Hydroasia 2008 flood analysis study at incheon gyo catchment

Gaja WWTP

Pump Station

Incheon Gyo

Coastline before 1984

Yellow Sea

Juan station

Gansuk station

Study area

City Hall

Reclamation Area

Pump station

Study Area

Incheon Gyo

Incheon-gyo Catchment

  • Total area : 34 km2 Length :8 km

  • Tidal difference : 9 m

  • Avg. of Rainfall : 1,702.3 mm/year

  • Most of present Incheon Gyo watershed was sea before completed to reclamation in 1985

  • Reclamation area used for industry & residence

  • Culvert slope is very mild(Avg. of Slope : 0.01 %)

  • Flooding in 1997 to 2001 (except 2000)


Modeling tools

MODELING TOOLS


Hydroasia 2008 flood analysis study at incheon gyo catchment

MOUSE SETUP

  • Import from the excel file “Imported data to Mouse.xls” to Mouse

  • Setting up Urban Drainage model with MOUSE

  • Validation


Hydroasia 2008 flood analysis study at incheon gyo catchment

Input Rainfall Data

  • 4/8/1997 1AM ~ 4/8/1997 4PM (15 hrs)

  • Maximum rainfall : 19mm/10min

100%


Hydroasia 2008 flood analysis study at incheon gyo catchment

Flood(100_100)


Hydroasia 2008 flood analysis study at incheon gyo catchment

WATER ON STREET AT NODES (MANHOLES)

MANHOLES AT FLOOD AREA


Hydroasia 2008 flood analysis study at incheon gyo catchment

SIDE VIEW OF SIMULATION RESULTS


Hydroasia 2008 flood analysis study at incheon gyo catchment

SIDE VIEW OF SIMULATION RESULTS


Hydroasia 2008 flood analysis study at incheon gyo catchment

SOBEK SET UP


Hydroasia 2008 flood analysis study at incheon gyo catchment

WATER ON STREET AT NODES (MANHOLES)

NODES NOT AT FLOOD AREA


Hydroasia 2008 flood analysis study at incheon gyo catchment

WATER ON STREET AT NODES (MANHOLES)

NODES NOT AT FLOOD AREA


Hydroasia 2008 flood analysis study at incheon gyo catchment

SIDE VIEW OF SIMULATION RESULTS


Hydroasia 2008 flood analysis study at incheon gyo catchment

WATER ON STREET AT NODES (MANHOLES)

NODES AT FLOOD AREA


Hydroasia 2008 flood analysis study at incheon gyo catchment

WATER ON STREET AT NODES (MANHOLES)

NODES AT FLOOD AREA


Hydroasia 2008 flood analysis study at incheon gyo catchment

SIDE VIEW OF SIMULATION RESULTS


Hydroasia 2008 flood analysis study at incheon gyo catchment

WATER ON STREET AT NODES (MANHOLES)

NODES AT FLOOD AREA


Hydroasia 2008 flood analysis study at incheon gyo catchment

SIDE VIEW OF SIMULATION RESULTS


Using neural network as a forecast system

USING NEURAL NETWORK AS A FORECAST SYSTEM


Hydroasia 2008 flood analysis study at incheon gyo catchment

  • Definition

    An artificial neural network (ANN) is a mathematic model or computational model based on biological neural networks.

    ANN consists of an interconnected group of nodes, akin to the vast network of neurons in the human brain.


Hydroasia 2008 flood analysis study at incheon gyo catchment

  • Application

    • Function approximation

    • Regression analysis

    • Pattern recognition

    • Time series prediction


Hydroasia 2008 flood analysis study at incheon gyo catchment

  • Schematic Diagram


Hydroasia 2008 flood analysis study at incheon gyo catchment

  • Reference

    Haykin, S. (1999) Neural Networks: A Comprehensive Foundation, Prentice Hall, ISBN 0-13-273350-1


The result of neural network

THE RESULT OF NEURAL NETWORK


Hydroasia 2008 flood analysis study at incheon gyo catchment

WHY A FORECAST SYSTEM IS NEEDED?


Hydroasia 2008 flood analysis study at incheon gyo catchment

The Multilayer Perceptron Neural Network is then used to forecast the total discharge at the reservoir. The data series are splitted into 2 portions, one for training while the other for validation

Neural Network setup for input and output

Dt=30 minutes


Hydroasia 2008 flood analysis study at incheon gyo catchment

DISCHARGE S AT RECERVOIR OF THREE MAIN METWORKS

(4 August 1997)


Hydroasia 2008 flood analysis study at incheon gyo catchment

Correlation coefficient

R squared


Hydroasia 2008 flood analysis study at incheon gyo catchment

SOBEK SIMULATED VS ANN FORECAST

30 minutes leadtime


Hydroasia 2008 flood analysis study at incheon gyo catchment

SOBEK SIMULATED VS ANN FORECAST

60 minutes leadtime


Hydroasia 2008 flood analysis study at incheon gyo catchment

Rainfall & Wind Forecasting

Catchment Runoff & Sea Level Forecasting

Optimal Reservoir Operation

SUGGESTIONS

Online forecast system


Conclusion

Conclusion

  • MOUSE and SOBEK have been used to study Incheon catchment for the event in 1997.

  • Several scenarios have been successfully generated by both MOUSE and SOBEK.

  • Present an idea of using neural network at a forecast system for reservoir operation

  • An Artificial Neural Network model has been trained by the scenarios generated with sense.

  • Discharge at the next time step has been reasonably predicted by ANN.

  • Suggest some solutions to improve the forecast system


Hydroasia 2008 flood analysis study at incheon gyo catchment

THANK YOU

Q & A


Hydroasia 2008 flood analysis study at incheon gyo catchment

Our team movie


  • Login