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2011. 12. KANG BooSik, Professor/Ph.D. Dept. of Civil & Environmental Engineering Dankook University Evaluation for the Effects of Flood Control for Side-weir Detention Basin using Equivalent Peak Hydrograph YOON ByeongMan, Professor/Ph.D. Dept. of Civil Engineering Myongji University

2011. 12. KANG BooSik, Professor/Ph.D. Dept. of Civil & Environmental Engineering Dankook University KANG BooSik, Professor/Ph.D. Dept. of Civil & Environmental

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2011. 12. 2011. 12.

KANG BooSik, Professor/Ph.D.Dept. of Civil & Environmental EngineeringDankook University

KANG BooSik, Professor/Ph.D.Dept. of Civil & Environmental EngineeringDankook University

Evaluation for the Effects of Flood Controlfor Side-weir Detention Basin using Equivalent Peak Hydrograph

Evaluation for the Effects of Flood Controlfor Side-weir Detention Basin using Equivalent Peak Hydrograph

YOON ByeongMan, Professor/Ph.D.Dept. of Civil EngineeringMyongji University

YOON ByeongMan, Professor/Ph.D.Dept. of Civil EngineeringMyongji University

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Contents

33

22

44

Conclusion66

Introduction11

General Process of Design Flood Estimation

EPH for the Yeoju site of the detention basin

Representative Synthetic Unit Hydrograph

55 Analysis of the Effects of Flood Control

3/28

Side-weir detention basin is an off-line storage located at

river side for improving the flood control capacity in the

downstream

※ White Oak detention basin, Harris County, U.S.

Introduction : Side-weir detention basin

4/28

Introduction : Test bed

Yeoju detention basin

Side-Weir

storage volume

outlet

outflow

inflow

16.2 Mm3

- Watershed Area : 11,361.89km2

- Design flow : 16,070 m3/s

5/28

Introduction : Factors influencing the effects of flood control

Design factors of the side-weir

: side-weir length(Ls), side-weir height(hs), storage volume(Vs)

Environmental factors

: roughness coefficients of river(n), shape of inflow hydrograph

side-weir length (Ls)

river width (B)

side-weir detention basin

detention storage (Vs)

side-weir detention basin

river

levee height(h) side-weir

height (hs)

complete overflow incomplete overflow

6/28

Introduction : The effects of flood control

peak discharge without / with storage.

effects of flood control

with storage

without storage

The effects of flood control is a difference between

Inflow=streamflow without detention basin

Overflow into the detention basin begins.A

BOverflow out of the detention basin begins.

outflow=streamflow with detention basin

7/28

Why needs EPH?

(In case there is a limitation of size of detention basin) The flood control effects of detention

basin can differ according to the peak and shape of the inflow hydrograph.

(In case there is an allocation of target volume of flood control) The optimal size and shape of

the detention basin can be determined fitting to the peak and shape of the inflow hydrograph.

Introduction : Equivalent Peak Hydrographs(EPH)

The representative unit hydrograph

Hydrographs by frequency / duration

The problem is what is the most probable hydrograph at the candidate site.

The hydrograph that can influence to design and evaluation of the detention basin most critically and happen most probably showing same peak flow at the specific site.

The definition of the most probable hydrograph for design of detention basin : Equivalent Peak Hydrograph (EPH)

The hydrograph that can happen most likely

The hydrograph that can influence to the design and evaluation of

detention basin most critically

For the given design peak flow …

8/28

Introduction : Design Hydrograph with Various Rainfall Duration

- Estimation method of representative unit hydrograph : Nash Model

- Rainfall duration: Thiessen average by the most frequency quartile Huff distribution

(“Han river” Basic plan of river, 2009,Ministry of Land, Transport and Maritime Affairs)

Design flood=16,070m3/sec

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Process of design flood estimation

10/28

)(

)/exp()(

1)( 1

n

Kt

K

t

Ktq n

nnn

<Linear reservoir theory by Nash >

dt

dOK

dt

dS

The entire basin consists of succesive n reservoirs, and the inflows and outflows at each

reservoir have linear relationship.

The IUH is determined through the flood routing from the first to the n-th reservoir using linearity.

Theory of Nash Model

dt

dOKOI

KOS

dt

dOKO 1

1

)exp(1

1 K

t

KO )exp()

1(

12 K

t

KKO

Estimating Instaneous Unit Hydrograph

differenciating

Simultaneous eq.

Computing till nth reservoir

11/28

Estimating parameter of Nash model

22

1

)1( KnnM

nKM

The parameters of the IUH formula, i.e. 2-param. Gamma distribution become n, K, the 1st

and 2nd moments for the original point(t=0) follows;

The 1st moment, : the delayed time from the origin to the centroid of the IUH curve.

: The 1st moments of the effective rainfall and direct runoff divided by the total

effective rainfall and direct runoff.

nKMM IO 11

12

22 2)1( IIO nKMKnnMM

: The 2st moments of the effective rainfall and direct runoff divided by the total

effective rainfall and direct runoff.

22 , OI MM

11, OI MM

1M

Estimating Instaneous Unit Hydrograph

12/28

Estimating representative unit hydrograph

)(

)/exp()(

1)( 1

n

Kt

K

t

Ktq n

nnn

Therefore, if the peak flow and time are determined using the unit hydrographs of the rainfall

events, the parameters n and K can be determined using the trial and error method for the

differentiated Nash Model.

ppnn Tqen

n

n

)1(1)1(

)(

1

where is the peak specific flow (cm/hr) and time (hr) of unit hydrograph, n, the # of

reservoirs, can be determined if the peak specific flow and time are given. The storage constant

K can be estimated using the n.

1n

TK p

The formulas of peak specific flow and time can be obtained by differentiating Nash model

formulas.

The representative peak flow and time can be estimated by taking averages of peak flows

and times of individual rainfall events.

pt Tq ,

Estimating Instaneous Unit Hydrograph

differentiate

13/28

Composite unit hydrograph method of Korea Institute of Construction Technology(KICT) (2000)

Composite unit hydrograph considering basin characteristic

The new methodology for composing unit hydrograph using the multiple linear

regression, which derived using the UH from 70 sites and their basin charateristics.

136.0037.0255.09580.0 cp SLAT

The Tp and Qp are applied to the Nash model for the purpose of estimating the

ordinates of the UH.

Slope(m/m)River S

Length(km)River L

)Area(kmBasin A

mm/hr)Discharge(Peak Q

Time(hr)Peak T

c

2

p

p

637.02395.0 TQp

14/28

Improvement of composite unit hydrograph method

The previous studies for the composite unit hydrograph are the results of different rainfall

events, method of effective rainfall, baseflow separation, method of representative UH, which

makes difficult in showing consistence outcome.

In this study, the improved methodology for composing UH will be suggested by differing in

estimating the major components of the UH even though the composing method is basically

the same as the existing the method of composing UH.

Primary factor KICT’s formula Proposed formula

Separating base flow Horizontal method Local Minimum Method

Unit hydrograph Ridge Regression Nash Model

Rainfall Complex rainfall Single rainfall

Parameter of unit

hydrograph

Basin Area, River

length, River slope

Basin Area, Shape

factor, River slope

Composite unit hydrograph considering basin characteristic

15/28

Parameter of Nash model

n K

2.115 11.514

Representative unit hydrograph for Yeoju site

Representative Unit Hydrograph

)(

)/exp()(

1)( 1

n

Kt

K

t

Ktq n

nnn

16/28

Estimating IDF Curve

Probable rainfall-intensity formula (Yangpyeong)

Class 2 yr 5 yr 10 yr 100 yr 200 yr

Short term

Long term

77.0

08.366

t 09.1

90.510

t 24.1

36.608

t 55.1

95.914

t 61.1

41.1005

t

65.0

82.736

t 61.0

91.817

t 60.0

02.889

t 57.0

36.1139

t 57.0

62.1216

t

17/28

- The 100-yr IDF couve in the AWS in Han river basin

- Yangpyeong, Icheon, Wonju, Hongcheon, Chungju, Jecheon, etc.

- Taking average using Thiessen areal ratio.

Estimating IDF Curve

18/28

Estimating Precipitation producing equivalent peak flow

Duration(hr)

Effective precipitation

(mm)

Effective intensity(mm/hr)

Precipitation producing equivalent

peak flow (mm)

Precipitation intensity producing equivalent

peak flow (mm)(mm/hr)

6 hr 168.3 28.05 422.3 70.88

12 hr 171.3 14.27 390.8 32.56

18 hr 176.5 9.81 395.5 21.97

24 hr 184.5 7.69 385.7 16.07

36 hr 206.2 5.73 424.1 11.78

48 hr 227.3 4.73 452.6 9.42

60 hr 249.0 4.15 680.6 8.01

72 hr 271.9 3.78 509.3 7.07

96 hr 320.6 3.34 583.1 6.07

120 hr 372.0 3.10 666.7 5.56

144 hr 425.1 2.95 751.3 5.22

168 hr 479.6 2.85 835.7 4.97

- Design (Peak) flood : 16,070 m3/s

19/28

Frequency analysis

- Analyzing the probability that cause the rainfall producing the design flood.

- The transform of the real precipitation considering runoff ratio is necessary because

the input of UH is the effective rainfall.

20/28

Representative Hydrograph for Various Rainfall Duration

- Estimation method of representative unit hydrograph : Nash Model

- Rainfall duration: Thiessen average by the most frequency quartile Huff distribution

(“Han river” Basic plan of river, 2009,Ministry of Land, Transport and Maritime Affairs)

Design flood=16,070m3/sec(Return period = 100yr)

21/28

Analysis on the effects of flood control

stream lengths bed slope river width peak discharge side-weir height side-weir width

44 km 0.0005 360 ~1830m 16030m3/s 36.4 EL.m 300 m

[volume elevation relationship] [unsteady boundary condition] [flow hydrograph]

Numerical analysis : HEC-RAS

22/28

Analysis on the effects of flood control

Duration : 24 hours

roughness

coefficient

(n)

peak flow

(m3/s)

effects of

flood control

(m3/s)

0.025 15922 108

0.030 15619 411

0.035 15722 308

inflow

inflow

23/28

Analysis on the effects of flood control

roughness

coefficient

(n)

peak flow

(m3/s)

effects of

flood control

(m3/s)

0.025 15927 103

0.030 15626 404

0.035 15895 135

Duration : 36 hoursinflow

inflow

24/28

Analysis on the effects of flood control

roughness

coefficient

(n)

peak flow

(m3/s)

effects of

flood control

(m3/s)

0.025 15926 104

0.030 15625 404

0.035 15909 121

Duration : 48 hoursinflow

inflow

25/28

Analysis on the effects of flood control

roughness

coefficient

(n)

peak flow

(m3/s)

effects of

flood control

(m3/s)

0.025 15922 108

0.030 15622 408

0.035 15945 84

Duration : 60 hoursinflow

inflow

26/28

Analysis on the effects of flood control

roughness

coefficient

(n)

peak flow

(m3/s)

effects of

flood control

(m3/s)

0.025 15925 105

0.030 15626 404

0.035 15985 45

Duration : 72 hoursinflow

inflow

27/28

Analysis on the effects of flood control

duration

(hour)

roughness

coefficient

(n)

peak flow of inflow

hydrograph

(m3/s)

effects of

flood control

(m3/s)

rate

(%)

24

0.025

16030

107.25 0.66

0.030 393.29 2.45

0.035 286.15 1.78

360.025

16030

102.79 0.64

0.030 403.94 2.520.035 137.45 0.85

480.025

16030

102.56 0.64

0.030 404.41 2.520.035 122.63 0.76

600.025

16030

107.06 0.66

0.030 405.92 2.530.035 81.32 0.50

72

0.025

16030

104.18 0.64

0.030 401.58 2.50

0.035 46.34 0.28

Results analysis

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Conclusion

Analysis on the effects of flood control for side-weir detention basin should consider the prediction uncertainty of water level and hydrograph.

The effects of flood control are analyzed for possible roughness coefficients to remove the uncertainty of prediction of the water level.

The effects of flood control are analyzed for various hydrograph considering a possible rainfall characteristics to remove the uncertainty of the hydrograph.

Because the Yeoju detention basin is located at the mid-stream of the Han River basin, its flood mitigation effects reveals relatively low under the condition of disregarding control gate. However, if we can consider the control gate, we can expect much higher mitigation effects by controlling secondary peak.