OPENCHANNEL 053:  ESTIMATION OF MANNING ROUGHNESS

1. THEORY


1.01
The general theoretical formula for Manning's n is:


 n = f(R/k) [k1/6

Eq. 1


1.02
where R/k is relative roughness, and k is absolute roughness. R is the hydraulic radius.
1.03
The absolute roughness is taken as a representative grain size of the particles forming the channel bed.
1.04
Strickler used the constant 0.0342 in lieu of relative roughness, and the median grain size as the absolute roughness, to give:


 n = 0.0342 d501/6 

Eq. 2


1.05
Williamson plotted the Darcy-Weisbach friction factor as a function of relative roughness to find:


       8g      0.113
 fD
 = 
   
       C2     (R/k)1/3

Eq. 3


1.06
From which Chezy C can be calculated:


 C = (8g/0.113)1/2 (R/k)1/6 

Eq. 4


1.07
The relation between C and n is:


      1.486
 C = 
 R1/6 

        n

Eq. 5


1.08
Combining these two equations, and using d84, the grain size for which 84% is finer, as absolute roughness, leads to:


 n = 0.031 d841/6 

Eq. 6


1.09
This equation is remarkably similar to the Strickler equation.


1.10
This table shows Manning's n values calculated with the Strickler formula.

Median grain size d50 (ft) Manning's n
10 0.050
1 0.034
0.1 0.023
0.01 0.016
0.001 0.011
0.0001 0.007


2. FACTORS
2.01
The factors affecting Manning's roughness are:

1. Surface roughness

2. Vegetation

3. Channel irregularities

4. Channel alignment

5. Obstructions

6. Size and shape of channel

7. Stage and discharge

8. Season

9. Suspended bed material


2.02
According to the Strickler formula, Manning's n varies directly with surface roughness, the larger the roughness, the larger the Manning's n.

Fig. 08

Rachichuela creek, La Leche river basin, Lambayeque, Peru.


2.03
Vegetation provides additional roughness, retarding the flow, particularly for overbank flows.

Fig. 01

Flood on the Chane river, Santa Cruz, Bolivia.


2.04
Natural channels may require seasonal or annual clearance to maintain the channel and keep the Manning's n from increasing.
2.05
Channel irregularities such as sand bars, ridges, canyons, depressions, and holes and humps in the channel bed provide additional friction, increasing the Manning's n.

Fig. 02

Tocmoche canyon, Cajamarca, Peru.


2.06
In natural channels, meandering may increase Manning's n by about 30 percent.

Fig. 03

Meander on the Meta river, Meta, Colombia.


2.07
The presence of obstructions, whether natural or human-induced, increases Manning's n. Log jams and bridge piers increase n.

Fig. 04

Santo Domingos creek, Pernambuco, Brazil.

Fig. 05

Cuiaba river at flood stage, Mato Grosso, Brazil.


2.08
In shallow channels, relative roughness increases, increasing Manning's n. Conversely, deep channels may have lower values of n.

Fig. 09

Small stream near Tepic, Nayarit, Mexico.

Fig. 06

Paraguay river near Porto Murtinho, Mato Grosso do Sul, Brazil.


2.09
In natural channels, friction varies with stage and discharge, affecting the value of Manning's n in a roundabout way.
2.10
As stage increases while the flow is inbank, n decreases; as stage goes overbank, n increases; for high flood stages, n decreases.
2.11
In vegetated channels, or in unlined channels where vegetation has become established, Manning's n increases in the growing season and decreases in the dormant season.
2.12
The transport of suspended bed material load and bedload consume additional energy, increasing channel roughness and Manning's n.

Fig. 07

Debris flow, at base of the Wasatch Mountains, near Bountiful, Utah.


3. ESTIMATION
3.01
Manning's can be measured by streamgaging.
3.02
For a given stream and stage, streamgaging seeks to determine the velocity, hydraulic radius, and energy slope, from which Manning's n can be calculated.


      1
 n = 
 R2/3 S1/2 
      v


Eq. 7


3.03
In practice, streamgaging is limited due to cost and time contraints.
3.04
Therefore, most applications estimate Manning's n based on experience.
3.05
Estimates are based on:

1. Understanding the factors that affect Manning's n.

2. Becoming aquainted with the appearance of channels whose n values are known.

3. Consulting a table of typical n values shown in books and manuals.

4. Consulting pictorial collections that show channels whose n values are known.


3.06
The Barnes book, USGS Water Supply Paper 1849, remains the most comprehensive pictorial collection of Manning's n for natural river channels, covering the range 0.024 to 0.075.

Fig. 10

Columbia river at Vernita, Washington: n = 0.024.

Fig. 11

Rock creek near Darby, Montana: n = 0.075.


3.07
The Barnes pictorial can be found at http://manningsn.sdsu.edu
3.08
The Arcement and Schneider book, USGS Water Supply Paper 2339, is a pictorial of Manning's n for flood plains, for the range 0.1 to 0.2.

Fig. 12

Tenmile creek near Elizabeth, Louisiana: n = 0.15.


3.09
The flood plain pictorial can be found at http://manningsn2.sdsu.edu
3.10
The lowest possible value of Manning's n is for a laboratory chanel made of acrylic glass. For this case, n = 0.008.
3.11
For concrete lined channels, n varies in the range 0.013 to 0.015.
3.12
For natural stream and river channels, n varies typically in the range 0.025 to 0.075, the smaller values corresponding to the larger rivers.
3.13
For natural flood plains, n varies typically in the range 0.1 to 0.2.
3.14
For shallow flows over dense grass or underbrush, n may vary from 0.4 to 0.8.
3.15
For the Everglades wetland in South Florida, a value of n = 1 has been documented.
3.16
Estimates of Manning's n can be obtained with this formula:


 n = (n0 + n1 + n2 + n3 + n4) m5 

Eq. 8


3.17
where n0 is the basic value for a straight, uniform, smooth channel,

n1 is the value added to account for surface irregularities,

n2 is the value added to account for variation in channel cross section,

n3 is the value added to account for obstructions,

n4 is the value added to account for vegetation, and

m5 is the correction factor for channel meandering.


3.18
Values of n0 to m5 are shown in these tables.

Basic, material

n0

Earth 0.020
Rock cut 0.025
Fine gravel 0.024
Coarse gravel 0.028
Surface irregularities

n1

None 0.000
Minor 0.005
Moderate 0.010
Severe 0.020
Variation in channel cross section

n2

None 0.000
Ocassionally 0.005
Frequenty 0.010
Very frequently 0.015

Obstructions

n3

None 0.000
Minor 0.015
Moderate 0.030
Severe 0.060
Vegetation

n4

Low 0.010
Medium 0.025
High 0.050
Very high 0.100
Channel meandering

m5

None 1.00
Minor 1.05
Moderate 1.15
Severe 1.30

Fig. 01
Flood on the Chane river, Santa Cruz, Bolivia.
Fig. 02
Tocmoche canyon, Cajamarca, Peru.
Fig. 03
Meta river, Meta, Colombia.
Fig. 04
Santo Domingos creek, Pernambuco, Brazil.
Fig. 05
Flood on the Cuiaba river, Mato Grosso, Brazil.
Fig. 06
Paraguay river near Porto Murtinho, Mato Grosso do Sul, Brazil.
Fig. 07
Debris flow at the base of the Wasatch Mountains, Utah.
Fig. 08
Rachichuela creek, La Leche basin, Lambayeque, Peru.
Fig. 09
Small stream near Tepic, Nayarit, Mexico.
Fig. 10
Columbia river at Vernita, Washington: n= 0.024.
Fig. 11
Rock creek near Darby, Montana: n = 0.075.
Fig. 12
Tenmile creek near Elizabeth, Louisiana: n = 0.15.
Narrator: Victor M. Ponce

Music: Fernando Oñate

Editor: Flor Pérez


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