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Team Blue - HydroAsia

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Study on Urban Drainage Modeling in<br />

Incheon Gyo Watershed<br />

2008. 8. 18<br />

Advisors: Gyewoon CHOI<br />

Members:<br />

Girish Badgujar,<br />

Nguyen Ha,<br />

Myeong soo Ham ,<br />

Mukand Babel<br />

Baosheng Wu<br />

Lei SHI,<br />

Xuan Wang,<br />

Qiang Zhang<br />

Kakuta Fujiwara,


<strong>HydroAsia</strong> –<strong>Team</strong> <strong>Blue</strong><br />

• Advisor : Gye woon Choi<br />

• Nationality : Korean<br />

• Professor of National University of Incheon<br />

• Executive director of Incheon Regional<br />

Environmental Technology Development Center


<strong>Team</strong> <strong>Blue</strong><br />

Name: Nguyen Thi Thu Ha<br />

Nationality: Vietnamese<br />

School: Asian Institute of Technology<br />

(AIT)<br />

Major: Water Engineering &<br />

Management<br />

AIT<br />

Nguyen Ha


<strong>Team</strong> <strong>Blue</strong><br />

Name: Girish Badgujar<br />

Nationality: Indian<br />

AIT<br />

Girish Badgujar<br />

School: Asian Institute of Technology<br />

(AIT)<br />

Major: Water Engineering &<br />

Management<br />

AIT<br />

Nguyen Ha


<strong>Team</strong> <strong>Blue</strong><br />

Name: Lei Shi<br />

Nationality: Chinese<br />

AIT<br />

Girish Badgujar<br />

School: Dong-A University<br />

Major: Civil Engineering<br />

AIT<br />

Nguyen Ha<br />

Dong-A University<br />

Lei Shi


<strong>Team</strong> <strong>Blue</strong><br />

Name: Kakuta Fujiwara<br />

Nationality: Japanese<br />

AIT<br />

Girish Badgujar<br />

School: Kyoto University<br />

Major: Civil & Environment Hydrauics<br />

Kyoto University<br />

Kakuta Fujiwara<br />

AIT<br />

Nguyen Ha<br />

Dong-A University<br />

Lei Shi


<strong>Team</strong> <strong>Blue</strong><br />

Name: Xuan Wang<br />

Nationality: Chinese<br />

AIT<br />

Girish Badgujar<br />

School: National University of Singapore<br />

Major: Civil Engineering<br />

Kyoto University<br />

Kakuta Fujiwara<br />

AIT<br />

Nguyen Ha<br />

National Univ. of Singapore<br />

Xuan Wang<br />

Dong-A University<br />

Lei Shi


<strong>Team</strong> <strong>Blue</strong><br />

University of Incheon<br />

Myeong soo Ham<br />

AIT<br />

Girish Badgujar<br />

Name: Myeong Soo Ham<br />

Nationality: Korean<br />

School: University of Incheon)<br />

Major: Water Engineering &<br />

Management<br />

Kyoto University<br />

Kakuta Fujiwara<br />

AIT<br />

Nguyen Ha<br />

National Univ. of Singapore<br />

Xuan Wang<br />

Dong-A University<br />

Lei Shi


<strong>Team</strong> <strong>Blue</strong><br />

Wuhan University<br />

Qiang Zhang<br />

University of Incheon<br />

Myeong soo Ham<br />

AIT<br />

Girish Badgujar<br />

Name: Qiang Zhang<br />

Nationality: Chinese<br />

School: Wuhan University<br />

Major: River Hydraulics<br />

Kyoto University<br />

Kakuta Fujiwara<br />

AIT<br />

Nguyen Ha<br />

National Univ. of Singapore<br />

Xuan Wang<br />

Dong-A University<br />

Lei Shi


<strong>Team</strong> <strong>Blue</strong><br />

Wuhan University<br />

Qiang Zhang<br />

University of Incheon<br />

Myeong soo Ham<br />

AIT<br />

Girish Badgujar<br />

The <strong>Blue</strong> World!<br />

The <strong>Blue</strong> <strong>Team</strong>!<br />

Kyoto University<br />

Kakuta Fujiwara<br />

AIT<br />

Nguyen Ha<br />

8 Weekly Meeting<br />

8 Reports for now<br />

National Univ. of Singapore<br />

Xuan Wang<br />

Dong-A University<br />

Lei Shi


Introduction<br />

Flood occurred in Incheon Gyo<br />

watershed for five years (1997 -2001)<br />

Area of Incheon city 1002.07 km 2<br />

Population 2,686,022<br />

Density of population 2,680 /km 2<br />

• Incheon is located in the mid-west Korea<br />

peninsula abutting the Yellow Sea.<br />

• A gateway to Northeast Asia with both<br />

international port and international airport<br />

Incheon International Airport<br />

Incheon Port


Introduction<br />

Flood occurrence in Incheon Gyo watershed<br />

due to:<br />

• Mild slope of the watershed<br />

• High rate of impervious area (urban area)<br />

• Abundant rainfall in wet season<br />

• Sewer network capacity<br />

Elevation 5.4~24.0 m (EL+)<br />

Avg. Slope 0.01 %<br />

33.1% of area is less than 7m (EL+)<br />

Avg. of Rainfall : 1,702.3 mm/year<br />

• Effect of Sea Level


Objectives<br />

The objectives of this project are:<br />

- Runoff analysis based on rainfall data and DEM<br />

- Simulation of Incheon Gyo watershed for the flood Aug 1997<br />

- Validation of simulation results by measurement data<br />

- Discuss recommendations for management of Incheon Gyo<br />

watershed<br />

- Discuss alternative solutions for flood prevention in the lower<br />

valley of the river


Working Flow – <strong>Team</strong> <strong>Blue</strong><br />

- Water Level at<br />

each node<br />

- Link water<br />

level, discharge,<br />

and velocity<br />

- Flood extent<br />

and flood depth,<br />

etc.<br />

General Analysis<br />

Data Collection<br />

Analysis of the collected data<br />

Model Choosing and Setup<br />

Calibration and Validation of<br />

model parameters<br />

Evaluation of the existing<br />

drainage capacity of the system<br />

- Hydrologic & Hydraulic Data: Rainfall, rain<br />

gauge coordinates, gate and pump operation,<br />

retention pond condition, etc.<br />

- Catchment Data: Coordinates, area,<br />

impervious area, population, time of<br />

concentration, Length, hydrological losses for<br />

the individual catchment, Manning number,<br />

land use type, etc.<br />

- Links: Material (Manning number),<br />

longitudinal profile, Cross section data (shape,<br />

size)<br />

- Nodes: manholes, basins, outlets,<br />

- Road system, building system<br />

- Available GIS Digital Map (0bserved flood<br />

inundation map, etc.)<br />

Design and examine technical<br />

solutions for flood alleviation<br />

Results and Recommendations


Models for urban area<br />

1. Rationale method<br />

2. STORM (Storage, Treatment, Overflow, Runoff Model, 974)<br />

3. ILLUDAS (Illinois Urban Drainage Area Simulator, 1974)<br />

4. ILSAX<br />

5. SOBEK-Urban<br />

6. SWMM models (Storm Water Management Model)<br />

7. MIKE NET – Water Distribution Networks<br />

8. MOUSE<br />

9. MIKE FLOOD model<br />

etc.


MOUSE - Introduction<br />

Surface Runoff<br />

MOUSE for surface runoff, open channel flow, pipe flow, water quality and<br />

sediment transportation.<br />

For urban watershed: Modeling package for urban drainage systems, storm<br />

sewer system and sanitary sewers.<br />

The runoff model describes the surface runoff and follows the process from<br />

rainfall to the point where the water enters the urban drainage system.<br />

The runoff discharge are used as boundary condition for the pipe flow<br />

computation.<br />

Surface runoff models<br />

Time Area Curve model A<br />

Kinematic wave Model B<br />

MODEL C (C1)<br />

MODEL C (C2)<br />

RDI ( SOLO)<br />

RDI + T-A CURVE (A)<br />

RDI+KINEMATIC WAVE (B)<br />

UHM


MOUSE – Runoff Modeling<br />

Time Area Curve Model for<br />

Run off computation<br />

The runoff amount governed<br />

by<br />

‣Initial loss<br />

‣Size of contributing area<br />

‣Continuous hydrological<br />

loss<br />

The runoff in this simulations<br />

was computed by time area<br />

curve 1.


MOUSE - Pipe flow computation<br />

MOUSE simulates the case in unsteady flow conditions with alternative free<br />

surface and pressurized flow conditions.<br />

Computation 1-D, implicit finite difference scheme, St Venant equation<br />

Model<br />

Kinematic wave model<br />

Diffusive wave model<br />

Dynamic wave model<br />

Forces<br />

Frictional and Gravitational<br />

forces<br />

Gravitational, Frictional,<br />

Pressure gradient<br />

Gravitational , Frictional,<br />

Inertia,Pressure


MOUSE - Pipe flow computation


MOUSE - Pipe flow computation<br />

The model was run for 4 August 1997 rainfall event which occurred from 3<br />

a.m. to 11 pm (This particular event was selected because flood map<br />

available.)<br />

Results of MOUSE and DEM were used as inputs in MIKE 11GIS to create<br />

inundation map. Subsequently the simulated depth of flooding and extent of<br />

flooding was compared with recording flood map (available for that time)<br />

Later model was run with different precipitation events. This precipitation<br />

events were generated using formulae of probable rainfall intensity for<br />

evaluation of existing capacity of the system


MOUSE – Result<br />

Water Level at different nodes at 11 P.M on 4.08.1997


MIKE SWMM<br />

MIKE SWMM<br />

•developed by DHI<br />

•versatile, cost-effective<br />

•modeling package<br />

•analysis of storm water systems<br />

•analysis of wastewater systems


MIKE SWMM – Example domain<br />

Given: Set up<br />

4 subcatchment boundaries hydrologic model using flow measurements at culvert C-2(ID 110).<br />

hydrologic model Set parameters up & Calibrate<br />

hydraulic network hydraulic data model using measurements at culvert C-1(ID 60)


MIKE SWMM – Example domain<br />

a. Subcatchment boundaries<br />

b. 25-Year rainfall data (time interval is 30 min.):<br />

c. The network parameters<br />

(junction, conduit and cross-section data):<br />

Conduit<br />

ID<br />

Upstream<br />

Junction ID<br />

Downstream<br />

Junction<br />

ID Type Height<br />

Length<br />

Channel<br />

slope<br />

10 10 20 Natural channel 0 2612 0.008<br />

20 20 30 Natural channel 0 878 0.015<br />

30 30 40 Natural channel 0 834 0.002<br />

40 40 50 Natural channel 0 2190 0.002<br />

50 50 60 Natural channel 0 768 0.036<br />

60 60 70 Round pipe 4 60 0<br />

70 70 80 Natural channel 0 959 0.034<br />

80 80 90 Natural channel 0 598 0.016<br />

100 100 110 Natural channel 0 1184 0.004<br />

110 110 120 Round pipe 2 45 0<br />

120 120 30 Natural channel 0 943 0.017


MIKE SWMM – Example domain<br />

[m]<br />

[m3/s]<br />

57.0<br />

4.0<br />

56.5<br />

Time Series SWMM EXTRAN, WATER LEVEL JUNCTIONS<br />

Time Series SWMM Runoff Discharge<br />

SWMM EXTRAN, WATER LEVEL JUNCTIONS<br />

60<br />

SWMM Runoff Discharge<br />

20<br />

External TS 1<br />

50<br />

Salem Street (Stage,ft) 80<br />

100<br />

56.0<br />

3.5<br />

55.5<br />

3.0<br />

55.0<br />

54.5<br />

2.5<br />

54.0<br />

2.0<br />

53.5<br />

53.0<br />

1.5<br />

52.5<br />

52.0<br />

1.0<br />

51.5<br />

0.5<br />

51.0<br />

0.0 00:00:00<br />

1-5-2000<br />

00:00:00<br />

21-5-2001<br />

06:00:00 12:00:00 18:00:00 00:00:00 06:00:00 12:00:00 18:00:00 00:00:00<br />

2-5-2000<br />

3-5-2000<br />

04:00:00 08:00:00 12:00:00 16:00:00 20:00:00 00:00:00<br />

22-5-2001<br />

04:00:00 08:00:00 12:00:00<br />

Figure 2: The simulated and calibrated results in junction<br />

Figure 1: The simulated flow rates in four subcathments


Hydro-BEAM (Basic concept)<br />

• watershed schematization<br />

• precipitation – evapotranspiration, snowfall&snowmelt - runoff<br />

• water temperature<br />

1. runoff<br />

2. evapotranspiration<br />

3. snowfall&snowmelt<br />

recovery<br />

flow<br />

evapotranspiration<br />

waste water<br />

precipitation<br />

surface runoff<br />

River flow<br />

surface<br />

river<br />

A layer<br />

B layer<br />

C layer<br />

D layer<br />

infiltration<br />

groundwat<br />

er runoff


Hydro-BEAM - Result<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

1 36 71 106 141 176 211 246 281 316 351 386 421 456 491 526 561 596 631 666 701 736<br />

30<br />

25<br />

20<br />

15<br />

10<br />

(Aug.1999)<br />

5<br />

0<br />

1 36 71 106 141 176 211 246 281 316 351 386 421 456 491 526 561 596 631 666 701 736


Work Summary<br />

Conclusion from present work (From Net meeting)<br />

The flooding event in August of 1997 was simulated with MOUSE<br />

DEM was generated from contour map<br />

Flood inundation map for August 1997 was created using ArcGIS and<br />

MIKE 11 GIS<br />

Various rainfall events associated with different return periods has been<br />

generated using formula of probable rainfall intensity to evaluate existing<br />

drainage system.<br />

Application of MIKE SWMM and Hydro-Beam.<br />

Limitation<br />

Time Limitation<br />

Experience<br />

Data availability<br />

Uncertainties in making some assumptions on running the model


Target in the Workshop<br />

Try to improve calibration<br />

Evaluate existing system with improved model<br />

and generated rainfall events with different<br />

return periods.<br />

Provide recommendations to alleviate the<br />

problem.

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