united states department of the interior ...05505000 05506000 05506500 05507000 05507500 05508000...

24
UNITED STATES DEPARTMENT OF THE INTERIOR GEOLOGICAL SURVEY Technique for Estimating the Magnitude and Frequency of Missouri Floods By Leland D. Hauth Prepared in cooperation with the Missouri State Highway Department and U.S. Department of Transportation, Federal Highway Administration The opinions, findings, and conclusions expressed in this publication are not necessarily those of the Federal Highway Administration Open-file report Rolla, Missouri 1974 <?/'£? Because of renewed interest in this report, it was reissued during 1991.

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Page 1: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

UNITED STATES

DEPARTMENT OF THE INTERIOR

GEOLOGICAL SURVEY

Technique for Estimating the

Magnitude and Frequency of Missouri Floods

By

Leland D. Hauth

Prepared in cooperation with

the Missouri State Highway Department

and

U.S. Department of Transportation,

Federal Highway Administration

The opinions, findings, and conclusions expressed in this publication are not necessarily those of

the Federal Highway Administration

Open-file report Rolla, Missouri

1974<?/'£?

Because of renewed interest in this report, it was reissued during 1991.

Page 2: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

CONTENTS

Page

Abstract <-- - 1

Introduction 1

Estimating technique 3

Limitations of equations 5

Analysis 17

Basic data 17

Determination of basin characteristics 17

Determination of estimating relations 17

Summary 18

References 19

Page 3: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

ILLUSTRATIONS

Page

Figure 1. Graphical solution of the 2-year equation - 6

2. Graphical solution of the 5-year equation 7

3. Graphical solution of the 10-year equation 8

4. Graphical solution of the 25-year equation 9

5. Graphical solution of the 50-year equation 10

6. Graphical solution of the 100-year equation 11

7. Map showing location of gaging stations used

to determine flood-frequency relation­

ships 12

TABLESi

Table 1. Summary of regression equations 4

2. Flood-frequency data for streamgaging stations

in Missouri - - 13

II

Page 4: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

FACTORS FOR CONVERTING ENGLISH UNITS TO

INTERNATIONAL SYSTEM (SI) UNITS

The following factors may be used to convert the English

units published herein to the International System of Units (SI).

Multiply English units

Feet (ft)

Square miles Gmi2!

Miles (mi)

Feet per mile (ft/mi)

Cubic feet per second (ft3/s)

By

Length

0.3048

2.590

1.609

0.1893

Flow

0.02832

To obtain SI units

Metres (m)

Square kilometres (km2 )

Kilometres (km)

Metres per kilometre (m/k)

Cubic metres per second (m^/s)

III

Page 5: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Technique for Estimating the

Magnitude and Frequency of Missouri Floods

By Leland D. Hauth

ABSTRACT

A technique is presented for estimating the magnitude and

frequency of Missouri floods. For 152 gaged sites the magnitudes

of floods having recurrence intervals of 2 to 100 years are provided

in tables. For ungaged sites, regression relations are presented

that allow the estimation of flood magnitudes from a knowledge of

the upstream drainage area and the average main-channel slope. The

estimating equations are provided in a graphical form for the con­

venience of the user.

INTRODUCTION

The purpose of this report is to provide techniques for esti­

mating the magnitude and frequency of flooding at sites in Missouri.

Previous reports, Searcy (1955), Patterson (1964), Patterson

and Gamble (1968), Matthai (1968), Sandhaus and Skelton (1968), and

Skelton and Homyk (1970), have presented methods for estimating

flood magnitudes for various recurrence intervals. Each method has

been developed on the basis of a limited period of record or sample

size and could be used with confidence only for drainage areas

greater than 50 mi2 (130 km2 ).

Page 6: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Relationships presented in this report were defined from an

expanded data base by detailed analytical techniques and should

provide flood estimates of increased reliability.

Because of the need for better definition of flood frequency

covering all sizes of drainage areas (0.1 to 14,000 mi2 or 0.26

to 36,300 km2 ) in Missouri, an effort was made to use the limited

information collected on small drainage areas (areas less than

10 mi2 ) so that when small-area data were included in a statewide

data matrix, flood-frequency relationships could be defined for the

full range of drainage areas.

A rainfall-runoff model developed by Dawdy, Lichty, and

Bergmann (1972) was used to extend short records on small drainage

areas so that flood magnitude and frequency with recurrence intervals

as high as 100 years could be defined. Flood-frequency curves at

each data site, based on synthesized peaks from the rainfall-runoff

model for small drainage areas and observed peaks for the larger

drainage areas, were defined by fitting the Pearson Type III distri­

bution to the logarithms of the data as recommended by the Hydrology

Committee, Water Resources Council (1967), Bulletin 15. Resulting

flood magnitudes with recurrence intervals of 2, 5, 10., 25, 50, and

100 years were related to drainage area and average main-channel

slope in a regression analysis.

Page 7: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

ESTIMATING TECHNIQUE

For ungaged natural floodflow sites, flood magnitudes

having recurrence intervals of 2, 5, 10, 25, 50, and 100 years

are computed by using appropriate values of the contributing

drainage basin size and slope in the equations shown in table 1

or in the graphs of figures 1-6. Drainage area (A) in square

miles, can be obtained by planimetering the area contributing

surface flows to the site as outlined along the drainage

divide on the best available topographic maps. Slope (S) in

feet per mile, is the average slope between points 10, and

85 percent of the distance along the main-stream channel from

the site to the basin divide. Distance is measured by setting

draftsman's dividers at 0.1 mile (0.16 km) spread and stepping

along the channel. The main channel is defined above atream

junctions as the one draining the largest area. Elevation

differences between the 10- and 85-percent points are divided

by the distance between the points to evaluate the slope.

Page 8: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Table 1. Summary of regression equations

Frequency of flood (years)

Standard error ofMagnitude of flood estimate

(ft3/s) (percent)

10-

25-

50-

53 . 5A0.851A-°- 02s0.356

100-

,, _0.905A'°- 02 0.500 67.6A S

73>7A0.924A-°- 02s0.542

79>8A0.926A-°- 02s0.560

85 .iA0.934A-°- 02s0.576

38.6

34.7

34.5

35.0

33.3

33.3

Example;

Assume design of a hydraulic structure is desired at a point

on a stream above which are 200 mi2 (518 km2 ) of drainage. The

average main-channel slope is 6 ft/mi (1.14 m/km) and the design

frequency desired is 50-year recurrence interval.

1. Solution of equation from table 1.

0.926/ 9nm -0.02 o 56O Q50-79.8(200) (200) (6 )

-18,000 ft3/s(510 m3/s).

Page 9: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

2. From figure 5, read 200 mi2 (518 km2 ) along the

ordinate and over to the 6 ft/mi (1.14 m/km) slope

curve. Resulting flood peak,

Q50*18,000 ft3/s (510 m3/s).

For gaged sites (see figure 7) , flood magnitudes having

recurrence intervals of 2, 5, 10, 25, 50, and 100 years are shown in

table 2. These flood magnitudes were defined by frequency analysis

of observed flood records for sites draining greater than 10 mi2

(26 km2 ) and by frequency analysis of partially synthesized records

for smaller streams. In general, the values of table 2 will provide

the most reliable estimates of future flood characteristics.

Limitations of Equations

The flood-frequency equations in this report may be used to

estimate magnitude and frequency of floods on most Missouri streams

for drainage areas ranging from 0.1 to 14,000 mi2 (0.26 to 36,300 km2 ),

and slopes ranging from 1.0 to 300 ft/mi (0.19 to 56.8 m/km). However,

equations are not applicable for basins where manmade changes have

appreciably changed the flow regimen or on main stems of the Mississippi

River and Missouri River. Flood-frequency relations for the upper

Mississippi River are presented by Patterson and Gamble (1968), and

for the lower Mississippi River by Patterson (1964). Flood character­

istics of the Missouri River below Sioux City, Iowa are presented by

Matthai (1968). Equations given in this report do not apply to

areas near the mouth of streams draining into larger rivers where

backwater effect is experienced. Caution should also be taken whenf\

utilizing equations presented here for drainage areas less than 10 mi*

(26 km2 ) which are located in the Lowlands region of Missouri.5

Page 10: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

DISCHARGE IN CUBIC METRES PER SECOND Jfl______________190 IOOO

10,000

10,000

IOOO

100

100 IOOO 10,000 100,000

DISCHARGE, IN CUBIC FEET PER SECOND

FIGURE I. Graphical solution of tht 2-ytar tquation.

Page 11: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

DR

AIN

AG

E A

RE

A,

IN

SQ

UA

RE

M

ILE

S

G> G> « »

o o

o CO o 2 IP

o

DR

AIN

AG

E

AR

EA

IN

SQ

UA

RE

KIL

OM

ET

RE

S

Page 12: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

DISCHARGE IN CUBIC METRES PER SECOND

ift ...... .'P. ...... ,'99

to

Ul

10,000

1000

100 1000 10,000

DISCHARGE, IN CUBIC FEET PER SECOND

100,000

FIGURE 3 Graphical solution of the 10-year equation.

Page 13: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

DISCHARGE IN CUBIC METRES PER SECOND000

10,000

O (0

1000

100

|O

100 1000 10,000 100,000

DISCHARGE, IN CUBIC FEET PER SECOND

FIGURE 4 Graphical solution of the 25-year equation.

Page 14: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

W

3

g<o

5

Ul

10,000

1000

100

10

1.0

at

DISCHARGE IN CUBIC METRES PER SECOND 10 100 1000

zx/x/

Y,

50-YEAR FREQUENCY

/LU

W/

y^

/z^

/

#

/355 ^

too 1000 10,000 100,000

DISCHARGE, IN CUBIC FEET PER SECOND

58°

08

60

2 O

5UJ<r<o </)

<klte<UJo<2

oc o

10

.0

FIGURE 5 Graphical solution of the 50-year equation.

10

Page 15: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

DR

AIN

AG

E A

RE

A,

IN

SQU

AR

E M

ILE

S

c 3D m

o> o O

5

w

o 2 5

m o

m

IN

SQ

UA

RE

K

ILO

ME

TRE

S

Page 16: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

EX

PL

AN

AT

ION

----

- M

ajo

r b

aMi

divi

de

Gag

* S

it*

FIG

UR

E 7.-

- Lo

catio

n of

gag

ing

stat

ions

use

d to

det

erm

ine

flo

od

-fre

qu

ency

rel

atio

nshi

ps

Page 17: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Tab

le 2

.--F

lood

-fre

qu

ency

dat

a fo

r st

ream

gagl

ng s

tati

on

*

In M

isso

uri

Basin

char

acte

rist

icSt

ation

number

0549

5000

0549

5100

0549

6000

0549

7000

0549

7500

0549

7700

0549

8000

05498500

0550

0000

0550

0500

0550

1000

0550

2000

0550

2500

0550

2700

0550

3000

05503500

0550

5000

0550

6000

0550

6500

0550

7000

0550

7500

0550

8000

0551

4500

0681

3000

0681

5550

0681

6000

0681

7500

0681

8900

0681

9500

0682

0000

0682

0500

0682

1000

0689

3500

0689

4000

0689

4500

0689

5000

0689

6000

0689

6180

0689

6500

0689

7000

0689

7500

0689

7700

06898500

0689

9000

0689

9500

0689

9700

0690

0000

06901500

Station

name

Fox

Rive

r at W

ayla

ndBig

Bran

ch tributary

near

Way

laid

Wyconda

Rive

r ab

ove

Canton

North

Fablua Ri

ver

at M

ontl

cell

oMiddle F

a bi

.ua Ri

ver

near Ba

ring

Brid

ge Cr

eek

near

Bar

ing

Midd

le Fablua

Ri

ver

near

Mo

ntlc

ello

North

Fablua Ri

ver

near Ta

ylor

South

Fabl

ua Ri

ver

near

Ta

ylor

North

River

near Bet

hel

North

Rive

r at Palmyra

Bear C

reek at

Hannibal

Salt

Ri

ver ne

ar S

helblna

Easdale

Bran

ch n

ear

Shelbyvllle

Doug

las

Cree

k near Enden

Salt River

near Hunnewell

South

Fork Salt Ri

ver

at Sa

nta

FeYo

ungs Creek

near Mex

ico

Midd

le F

ork

Selt

Ri

ver

at Paris

Elk Fo

rk Salt

River

near P

aris

Salt

River ne

ar Monroe

City

Salt

Ri

ver

near New London

Cuiv

ce Ri

ver

near Tro

yTa

rkio

Ri

ver

at F

airf

axSt

aple

s Br

anch

near Burlington Jun

ctio

nMill Cr

eek

at Or

egon

Nodavay Ri

ver

near B

urli

ngto

n Ju

ncti

onPlatte Ri

ver

at Ravenvood

One

Hundred

and

Two

River

near M

aryvllle

White

Cloud

Cree

k near M

aryv

llle

Plat

te R

iver

near Ag

ency

Jenklna Brench a

t Cover

Blue Ri

ver

at Kansas Ci

tyLittle B

lue

River

near L

ake Ci

tyEa

st Fork F

ishi

ng R

iver at Excelsior

Spri

ngs

Croo

ked

Rive

r ne

ar Ri

chmo

ndWa

keod

a Cr

eek

at Carrol Iton

DeMoss . B

ranc

h near Sta

nber

ryThompson Branch near Alb

any

East Fork Big

Creek nea

r Bethany

Gran

d Ri

ver

near G

alla

tin

Grand

Rive

r tributary

near U

tica

Weld

on R

iver

near Mercer

Weld

on R

iver at Mi

ll G

rove

Thompson R

iver

at Tr

ento

nSh

oal

Cree

k near B

raym

erMedicine C

reek

nea

r Gait

Locust Cr

eek

near Li

nneu

s

Area

Onl2)

400 0.70

393

452

185 2.

38393

930

620 58.0

373 31.0

481 0.

712.64

626

298 67.4

365

262

2,230

2 ,4

80 903

508 0.

49490

1,24

0486

500 6.

061,

760

272

188

184 20 159

248 0.38

5.58

952,250 1.

4424

6494

1,670

391

225

550

Slope

(ft/

ml)

4.50

80.8 4.50

4.80

6.80

43.2 4.10

4.00

3.40

5.00

5.00

15.4

3.90

76.1

32.3 3.00

3.60

7.50

2.90

3.50

2.80

2.50

4.60

4.90

61.0

42.3 4.21

4.45

5.72

19.5 3.76

34.0

12.4 6.26

21.9 5.17

5.27

106 30.9 7.24

4.11

120 7.

545.

053.67

2.92

5.00

4.22

2-ye

ar

6,000

130

5,35

07.

590

4,360

399

5,430

11,200

7,93

01,960

9,81

02,330

6,580

399

693

7,29

06,

370

2,500

5,46

07,380

28,0

0027

,900

23,300

6,320

142

740

12,300

7,430

6,800

729

14,000 638

9,36

03,650

2,370

4,25

04,820

145

738

2,52

023

,700 392

11,900

10,9

0021,900

7,18

05,700

9,200

Magnitude

of fl

ood

in cu

bic

feet per

second

for

indi

cate

d re

curr

ence

in

terv

al5- year

9,950

239

8,46

011,400

6,98

0800

7,91

020

,100

11,6

003,

470

15,2

004,600

10,1

00495

993

11,000

10,400

4.390

8,840

11,9

0042,100

40,000

39,6

0011,800 316

1,600

22,600

10,6

0011

,600

1,680

24,3

001,

350

16,400

6,37

05,

090

8,48

06,

620

207

1,49

04,

380

37,0

00485

19,9

0019,000

37,600

10,809

10,600

17,2

00

10-y

ear

12,600 317

10,5

0013

,800

8,72

086

09,430

26,3

0013,800

4,520

18,300

6,31

012

,300 577

1,19

013,200

13,0

005,

710

11,1

0014

,800

50,900

47,300

50,6

0015

,900 435

2,32

030,500

12,100

15,100

2,26

031

,600

1,70

021

,500

8,29

07,330

11,700

7,690

248

2,020

5,720

45,8

00 560

25,5

0024

,600

48,600

13,200

14,1

0023

,200

25-y

ear

15,8

00416

12,9

0016

,600

10,8

001,030

11,2

0034

,400

16,4

005,

850

22,2

008,590

15,0

00 689

1,450

15,900

16,2

007,

370

13,800

18,4

0061

,200

55,7

0064

,400

21,7

00 525

3,350

41,2

0013,600

19,6

002,

820

41,300

2,12

028

,000

10,8

0010

,500

16,200

8,92

030

52,

520

7,47

056

,600 665

32,600

32,0

0062,900

21,500

18,8

0031,200

50-year

18,200

489

14,6

0018

,500

12,4

001,460

12,500 -

18,2

006,

820

24,9

00 -16

,800 771

1,660

-18

,500

8,60

015

,700

21,000

68,4

0061

,500

74,400

26,2

00 586

4,190

50,0

00 -23

,000

3,22

048,600

2,420

33,0

0012

,600

13,2

0019

,600

9,740

345

2,88

08,800

64,400 761

37,800

37,500

73,500 -

22,400

37,300

100-year

20.4

00 561

16.2

0020.300

13,9

001,

650

13.6

00 -19

.800

7.78

027

,500 -

18.6

0085

21.

870

-20,600

9.790

17.6

0023,400

75,1

0066.800

84,0

0031

,000 645

5,32

058

,400 -

26.4

003.580

56.0

002.700

38,9

00 - - - - 383

3,220

10,1

0072,000 854

43.0

0043

.000

84.100 -

25,9

0043

,600

Page 18: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Table

2.--

Floo

d-fr

eque

ncy

data for

stre

aaga

ging

atatlona

in Mlaaouri

(con

e.)

Stat

ion

numb

er

0690

2000

0690

2200

0690

2500

0690

2800

0690

4500

06905500

0690

7000

0690

7200

0690

7500

0690

7700

0690

8000

06908300

0690

9500

0690

9700

0691

0000

0691

0250

06910500

0691

8700

0691

9000

0691

9200

0691

9500

0692

0500

0692

1000

06921200

06921500

0692

1740

06922000

06922700

0692

4000

06925200

0692

5300

06926000

06926200

06927000

0692

7100

06928000

0692

8200

0692

8500

0693

0000

06931000

0693

1500

06932000

0693

3500

06934000

0693

5500

0693

5800

0701

1200

0701

1500

07013000

Stat

ion

name

Grand

Rive

r ne

ar Stunner

West Y

ellow

Cree

k ne

ar Brookfield

Hami

lton

Bra

nch

near

New Bos

ton

Onion

Branch a

t St.

Cath

erin

eCh

art ton

River

at Ho

ving

erCh

arit

on R

iver

near Pr

airi

e Hi

llLa

mine

Ri

ver

at Cl

ifto

n Ci

tySh

aver

Cree

k tr

ibut

ary

near C

lift

on Cit

yEast B

ranc

h So

uth

Fork B

lack

wate

r Ri

ver

near Elm

Blackwater Ri

ver

at Valley Cit

yBlackwater Ri

ver

at B

lue

Lick

Trent

Bran

ch n

ear

Wave

r ly

Moni

teau

Creek ne

ar Fa

yett

ePe

tite

Sali

ne Cr

eek Tr

ibut

ary

near

Be Hair

Peti

te Saline C

reek

near

Boonville

Trax

ler

Bran

ch n

ear

Colu

mbia

More

au Ri

ver

near Jefferson

City

Oak

Grove

Branch near B

righ

ton

Sac

River

near St

ockt

onSac

Rive

r tr

ibut

ary

near Cap li

nger

Mil

lsCe

dar

Creek

near Pleasant Vi

ewOsage

River

at O

sceo

laPo

mme

de Terre

River

near B

olivar

Lindiey

Cree

k ne

ar Polk

Pomm

e de Te

rre

River

at He

rmit

age

Brus

hy Cree

k near Bl

airs

town

South

Gran

d Ri

ver

near B

rown

lngt

onCh

ub Creek ne

ar Li

ncol

nNi

angu

a Ri

ver

near Decaturville

Star

ks Cree

k at Pr

esto

n .

Prairie

Bran

ch n

ear

Decaturville

Osage

Rive

r near Ba

gnel

lVan

Cleve Br

anch

nea

r Me

taMa

ries

Ri

ver

at We

stph

alia

Doane

Branch n

ear

King

dom

City

Gasconade

Rive

r at Ha

zelg

reen

Laquey B

ranc

h near Hazelgreen

Gasconade

Rive

r ne

ar W

ayne

avil

leBig

Pine

y Ri

ver

near

Big

Pine

yBe

aver

Cree

k near Ro

lla

Litt

le B

eaver

Cree

k ne

ar Ro

lla

Litt

le Piney

Creek

at Ne

wbur

gGasconade

Rive

r at Je

rome

Gasconade

Rive

r near Rich F

ountain

Lout

re Ri

ver

at Mi

neol

aShotwell Creek

near

El

lisv

ille

Love Cr

eek

near Sa

lem

Green Acre Branch near Ro

lla

Mera

mec

Rive

r near Steelville

Basic

char

acte

rist

ic

Area

Slop*

(mi

) (ft/mi)

6,880

135 2.

511.

041,370

1,87

0598 1.

6516.6

547

1,12

0 0.97

81 0.49

182 0.55

531 1.

301,160 0.

14420

8,22

0225

112

655 1.

151,660 2.86

627 4.18

1.48

14,000 0.

7525

7 0.54

1,25

0 1.56

1,680

560 13.7 6.41

200

2,84

03,180

202 0.

810.89

0.62

781

3.15

3.92

27.0

- 49.3 2.63

2.25

3.60

46.4

22.2 5.05

2.50

69.2 8.47

78.4

6.35

119 4.64

94.2 4.23

149 4.78

1.66

9.00

11.6

4.80

70.8 2.1

40.3 4.7

31 84.1 1.2

95.4 8.91

70.2 3.97

87.4 3.18

5.65

39.5

65.6

14.0

3.01

2.68

10.4

79.5

106 82.0 6.29

Magnitude

of fl

ood

in c

ubic

fe

et pe

r se

cond

for

indicated

recu

rren

ce interval

2- year

51,200

2,800

576

231

9,700

13,400

16,1

00480

2,220

23,600

10,6

00339

2,930

136

3,560

277

13,400 182

19,6

00 478,760

41,600

7,90

06,

820

19,000 498

14,6

00 766

11,700 822

190

70,200 190

11,1

00 111

23,6

00 409

23,400

11,900

1,920

1,240

6,76

031

,700

29,400

7,22

0365

121

306

15,400

5-ye

ar

83,700

4,56

0941

390

15,200

18,800

27,8

00 887

3,67

043

,500

18,100 670

4,620

191

5,460

456

19,600 390

35,6

00 7015

,000

61,7

0011

,800

10,7

0031

,000 768

25,0

001,

360

20,9

001,270

310

95,000 310

15,1

00 185

44,8

00 860

41,2

0020,600

3,11

02,

340

13,4

0055

,500

48,100

11,5

00 520

265

509

27,900

10- y

ear

106.

000

5,740

1,210

494

18,800

22,0

0035

,700

1,07

04,660

58,0

0023

,200 890

5,70

024

26,660

564

23,300 567

47,000 89

19.2

0074

,000

14,2

0014

,900

38,9

00 959

32,2

001,730

27,3

001,

530

425

109,

000

425

17,4

00 233

60,400

1,100

.53

,600

26,4

003,

890

2,430

18,2

0072,000

60,400

14,4

00 617

370

616

36,7

00

25-y

ear

134,000

-1,580

623

23,200

25,8

0045

,700

1,29

05,

890

94,0

0029,600

1,140

7,00

0325

8,080

678

27,600 820

61,6

00 112

24,5

0088

,500

17,1

00 -48

,600

1,140

41,2

002,160

35,6

001,

840

663

125,000

633

20,000 293

80,900

1,320

69,200

33,5

004,

850

5,28

025,100

92,8

0075

,600

17,800 755

505

737

48,1

00

50- ye

ar

154,

000

-1,

780

718

26,400

28,4

0052,900

1,45

0- -

34,3

001,

290

7,92

0408

9,080

755

30,6

001,020

72,5

00 127

28,3

0098

,500

22,1

00 -55

,500

1,28

047

,800

2,430

41,6

002,060

850

136,

000

850

21,7

00 335

96,2

001,490

80,7

0038,500

5,530

6,060

30,300

108,

000

86,4

0020

,200 848

598

818

56,500

100-year

174,

000

-1,

980

809

29,4

0030,800

60,000

1.610

- -38

,900

1,43

0- 504

- 825

-1,

160

83,100 142

32,000

108,

000

- -62

,100

1,40

054

,100

2,700

47,6

002,330

1,11

014

6,00

01,

110

- 376

111,

000

1,64

091,800

43,200 -

6,800

35,4

0012

3,00

096

,700 - 933

671

890

64,7

00

Page 19: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Tab

le 2.~

Flo

od-f

requen

cy d

ata

for

str

eam

ing

sta

tio

n,

in M

isso

uri

(coot.

)

; Basin

characteristic

Stat

ion

"'

numb

er

07014500

07015000

07015500

07015700

07016000

07016500

07017000

07017500

07018000

07018500

07019000

07019100

07021000

07033000

07035500

07037500

07037700

07038000

07041000

07042000

07042500

07043000

07043500

07044000

07046000

07050700

07052500

07053000

07053500

07053950

07054200

07054300

07057500

07058OOO

07058500

07061500

07062500

07063000

07063200

07064300

07064500

07066000

07066500

07067000

07068000

07068200

07068500

07070500

Stat

ion

name

Meramec

Rive

r ne

ar Sullivan

Bour

beus

c River

near

St.

James

Lane

s Fo

rk n

ear

Rolla

Lanes Fork nea

r Vi

chy

Bourbeuse

Rive

r ne

ar Sp

ring

Blu

ffBo

urbe

use

Rive

r at

Union

Meramec

Rive

r at Rob

erts

vill

eDry Br

anch

near Bonne

Terf

eBi

g River

near

DeS

pto

Big

River at

Byr

nesv

ille

Meramec

Rive

r ne

ar Eu

reka

Murphy Bra

nch

near Cr

ysta

l Ci

tyCa

stor

River at

Zalma

Wolf Cr

eek

near Fa

rmin

g ton

Barn

es Cr

eek

near F

redericktown

St.

Francis

Rive

r ne

ar Pat

ters

onClar

k Cr

eek

near Piedmont

Clark

Creek

at Pa

tter

son

Litt

le R

iver

ditch 81 n

ear Re

nnet

tLittle Ri

ver ditch

1 ne

ar K

enne

ttLi

ttle

River di

tch

251

near Li

lbou

rnCa

stor

Riv

er at Aquilla

Litt

le River ditch

1 near Mor

ehou

seLittle River di

tch

251

near K

enne

ttLi

ttle

River ditch 2

59 nea

r Kennet

tJames

Rive

r ne

ar Spr

ingf

ield

Jame

s River

at G

alen

aWhit

e River ne

ar R

eeds S

prin

gWhite

Rive

r ne

ar Branson

Ingenthron Hollow nea

r Fo

rsyt

hYa

ndel

l Br

anch

nea

r Ki

rbyv

ille

Gray Branch

at Lutie

Nort

h Fo

rk Ri

ver

near Tecumseh

Brya

nt Creek nea

r Te

cums

ehNorth

Fork

Ri

ver at

Tec

umse

hBlack

Rive

r near Annapolis

Black

Rive

r at Lee

per

Blac

k River at

Po

plar

Bluff

Pike

Creek

trib

utar

y near P

opla

r Bl

uff

Fudge

Holl

ow nea

r Licking

Big Creek ne

ar Yukon

Jacks

Fork

at Em

inen

ceCurrent

Rive

r ne

ar Emi

nenc

eCurrent

River at

Van Bu

ren

Current

Rive

r at

Doniphan

North

Pron

g Little Black R

iver at Hu

nter

Litt

le Black R

iver nea

r Fairdealing

Elev

en P

oint

River

near

Tho

mas vi

lie

Area

(m

i2)

1,475 21. 0. 24.

608

808

2,670 3.

718

917

3,790 0.

423 40. 4.

956 4. 37.

Ill

235

235

175

450

883 89 246

987

3,62

04,020 0. 0. 0.

561

570

1,157

484

957

1,245 0. 1. 8.

398

1,272

1,667

2,03

8 1.187

361

3 22 1 35 44 3 03 39 5 65 33 23 28 72 36 23

Slope

(ft/mi)

4.89

34.0

41.1

27.0 3.92

2.76

3.83

48.5 4.63

3.36

3.44

108 8.

9219.9

114 7.24

63.9

29.4 1.0

1.0

2.0

0.8

2.0

1.0

1.0

6.5

4.75

3.53

3.36

186

116

279 8.

298.

838.

0410.9

8.52

6.23

111

68.1

55.3 9.50

7.58

5.92

4.75

61.7

10.8

13.7

2-ye

ar

18,600

3,440 71.5

3,88

014,900

13,700

38,7

00 660

17,100

14,9

0037,000 130

11,000

3,410

929

32,200 753

6,08

01,

730

4,07

02,

520

2,230

5,21

08,850

1,76

09,910

18,1

0071

,200

34,300 197

65.1

50

11,6

0012,000

15,700

19,200

18,700

11,000 124

100

1,750

10,200

22,4

0025,900

25,400 130

6,600

4,900

Magn

itud

e fo

r5-

year

31 5 5 22 20 621

26 22 61 20 5 2491 8 2 6 3 3 7 12 2 17 31 114 76 19 19 32 31 38 20 2 19 42 48 45 13 11

,800

,390 121

,740

,000

,000

,800

,290

,000

,500

,200

221

,600

,570

,040

,800

,230

,530

,660

,290

,160

,220

,080

,200

,780

,500

,100

,000

,300

360

158 97.5

,300

,400

,400

,600

,700

,800

210

360

,950

,700

,800

,200

,300

245

,400

,600

of flood

in c

ubic f

eet

per

seco

nd

indicated recurrence i

nter

val

10-year

9*_.«.

40,800

6,650

152

6,870

26,4

0023

,900

78,7

001,700

31,6

0027,300

77,400 300

27,5

007,

000

2,85

061,000

1,680

9,99

03,

240

7,700

3,520

3,810

8,17

014,200

3,43

022

,800

40,0

0014

2,00

011

1,00

048

1224

132

24,5

0024

,300

45,4

0039

,800

54,3

0028

,000 252

600

3,650

26,800

57,7

0064

,300

59,4

00 355

18,4

0017

,200

25-y

ear

52,000

8,15

0193

8,200

31,500

28,4

0010

1,00

02,

220

38,2

0032,900

97,4

00435

36,600

8,740

3,56

074

,300

2,40

0 3,

940

9,38

03,

900

4,500

9,39

016

,500

4,210

29,500

51,000

177,

000

159,

000

598

318

178

30,900

30,3

0063

,000

49,9

0075

,500

37,400 305

970

4,510

36,2

0077

,400

85,300

77,3

0056

525,800

25,300

50- ye

ar

60,000

9,210

218

9,120

35,0

0031

,400 -

2,55

042

,800

36,800

112,000

572

43,3

00 -4,

040

83,7

002,

940

-4,420

10,6

004,160

4,960

10,2

00 1

8,00

04,760

-59

,300 -

19,8

00 679

394

212

35,5

0034

,600

76,7

0057

,100

92,0

0044

,500 342

1,30

05,120

43,3

0092

,200

101,000

90,5

00 795

31,2

0032

,000

100-year

68,000 - 240

9,970

38,300

34,3

00 -2,820

-40

,500

125,

000

732

50,0

00 -4,510

92,5

003,500

-4,880

11,7

004,380

5,400

11,0

0019

,400

5,290

-67,200 - 238

757

474

245

39,9

0038

,600 -

64,000 -

51,6

00 376

1,62

05,710

50,4

00107,000

116,

000

103,

000

1,100

- -

Page 20: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

Tab

le

2. F

loo

d-f

req

uen

cy d

ata

for

atre

aaga

gin

g t

ati

on

*

in M

iaao

uri

(cen

t.)

Stat

ion

numb

erSt

atio

n na

me

Baai

n ch

arac

teri

stic

AreaSlope

( i2)______(t

t/mL

)

Magnitude

of fl

ood

in c

ubic

feet pe

r se

cond

for

indi

cate

d recurrence interval

2-ye

ar5-

year

10-y

ear

25-y

ear

50-y

ear

100-year

07071500

Elev

en P

oint Ri

ver

near B

ardl

ey07185500

Stah

l Creek

near M

iller

07185700

Spri

ng River

at L

arua

aell

07186000

Spri

ng River

near Vac

o07187000

Shoe

l Cr

eek

abov

e Jo

plin

07188500

Lost

Cre

ek at

Seneca

07198000

Elk

River

near T

iff

City

793 3.

86306

1,164

410 42.0

872

10.1

41.3 9.84

6.08

8.34

23.6 7.09

8,880

637

4,980

17,1

008,240

843

20,900

19,500

1,12

08,470

30,0

0016,800

2,73

041,600

28,1

001,140

10,800

38,9

0023,300

4,71

057

,400

40,2

001,

820

50,2

0032

,200

8,02

078,400

49,700

2,090

58,5

0039

,000

11,000

94,5

00

56,6

002.

340

66,5

0045

,900

111,

000

Page 21: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

ANALYSIS

Basic Data

Streamflow and basin characteristics from a network of 152

stations were used in this analysis and are listed in table 2.

Their distribution throughout the State is shown in figure 7.

The data set does not contain information on small-area stations

(drainage areas less than 10 mi2 [26 km2 ]) with flat slopes as

experienced in the Lowlands or Bootheel region due to the diffi­

culty in establishing stage-discharge relationships. Drainage

area sizes range from 0.1 to 14,000 mi2 (0.26 to 36,300 km2 ).

Determination of Basin Characteristics

Basin characteristics used in describing the magnitude and

frequency of flooding are: 1) drainage area (A) which can be

described as all contributing drainage upstream from a desired

point along a river channel, and 2) average main-channel slope (S).

Average main-channel slope was.determined from elevations at points

10 and 85 percent of the distance along the channel from the gaging

station to the divide.

Determination of Estimating Relations

Relationships developed herein were determined by the step-

backward multiple regression technique. Streamflow characteristics

(2-, 5-, 10-, 25-, 50-, and 100-year flood) or dependent variables

were related to basin characteristics.

17

Page 22: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

First attempts of the regression computation indicated

drainage area and average main-channel slope to be significant

independent variables in the equation Q *aAbl Sb2 .

However, a plot of the logarithms of the residual

[(log QT (observed) - log QT (computed)] versus the logarithms

of the slope and drainage area indicated nonlinearity.

The basic regression model was again fitted to the array

by adjusting the exponent to drainage area based on techniques

described by Creager, Justin, and Hinds in their report

"Engineering for Dams" (1947). Several attempts were made until

the adjustment could be made which would result in the least

standard error for the equation Q =aA * S 2 and linearity in the

area component could be obtained. The same residuals (computed

with the adjusted relationship) were plotted on a map of the State

to determine any graphic trend. Results showed a random scatter

throughout the State thus indicating the relationships to be

applicable statewide.

SUMMARY

Techniques for estimating magnitude and frequency of floods

at ungaged Missouri streams given in this report utilize the basic

linear regression model with adjustments to independent variable

components to achieve linearity. Drainage area and slope proved

to be significant basin characteristics and were used in defining

the relationships. A plot of residuals on a map indicates state­

wide applicability of the equations.

18

Page 23: UNITED STATES DEPARTMENT OF THE INTERIOR ...05505000 05506000 05506500 05507000 05507500 05508000 05514500 06813000 06815550 06816000 06817500 06818900 06819500 06820000 06820500 06821000

REFERENCES

Creager, W. P., Justin, J. D., and Hinds, J., 1947, Engineering

for dams, volume I: New York, John Hiley, p. 125-126.

Dawdy, D. R., Lichty, R. W., and Bergmann, J. M., 1972, A

rainfall-runoff simulation model of estimation of flood

peaks for small drainage basins: U.S. Geol. Survey Prof.

Paper 506-B, 28 p.

Matthai, H. P., 1968, Magnitude and frequency of floods in the

United States, Part 6B, Missouri River below Sioux City,

Iowa: U.S. Geol. Survey Water-Supply Paper 1680, 491 p.

Patterson, J. L., 1964, Magnitude and frequency of floods in

the United States, Part 7, Lower Mississippi River basin:

U.S. Geol. Survey Water-Supply Paper 1681, 636 p.

Patterson, J. L., and Gamble, C. R., 1968, Magnitude and frequency

of floods in the United States, Part 5, Hudson Bay and Upper

Mississippi River basins: U.S. Geol. Survey Water-Supply

Paper 1678, 546 p.

Sandhaus, E. H., and Skelton, John, 1968, Magnitude and frequency

of Missouri floods: Missouri Geol. Survey and Water Resources

rept. 23, 276 p.

Searcy, J. K., 1955, Floods in Missouri, magnitude and frequency:

U.S. Geol. Survey Circ. 370, 126 p.

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*U. S. GOVEMWENT PRINTIM OFFICE: 1974-447W/7

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