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Hydrologic Engineering Center 1
Muskingum-Cunge Routing Method within HEC-
HMS
Objectives
• Introduce the Muskingum-Cunge routing method
• Present an example
• Discuss common parameter estimation and
calibration techniques
• Present advantages and disadvantages
Hydrologic Engineering Center 2
Muskingum-Cunge Method
• Builds upon the Muskingum method
– Within the Muskingum method, the X parameter
(i.e. attenuation) is not physically based
• Cunge set numerical diffusion equal to
physical diffusion
– This allowed for parameters to be physically-based
as well as improving accuracy and applicability
3
Hydrologic Engineering Center
Equations of Motion
– Continuity:
– Momentum:
A
V
x
VB
y
x
B
y
t
q









t
V
g
x
V
g
V
x
y
S
S o
f










1
4
Hydrologic Engineering Center






 


A
t
Q
x
q Continuity Eqn
S S
Y
x
Diffusion form
l
f o
Example
Hydrologic Engineering Center 5
Parameter Estimation – Reach Length and
Friction Slope
6
Hydrologic Engineering Center
• Compute reach
characteristics
– Parameters | Characteristics
| Reach
• Friction slope can be
initially estimated using
bed slope
– If slope varies significantly, it
may be necessary to use
multiple reaches with
different slopes
Parameter Estimation – Manning’s Roughness
7
Hydrologic Engineering Center
• Average value for the
whole reach
• Estimate using “reference”
streams or through
calibration
Bayou de Loutre near Farmerville, LA
Computed roughness: n = 0.11
Depth of flow: 3.6 ft
Parameter Estimation – Space-Time Interval and
Index Method
8
Hydrologic Engineering Center
• Critical to ensure accuracy and stability
• Three Space-Time Interval options:
– Auto DX Auto DT
– Specified DX Auto DT
– Specified DX Specified DT
• Two Index options:
– Flow
– Celerity
• 5 ft/s
Parameter Estimation – Cross Section
9
Hydrologic Engineering Center
• Six shapes:
– Circle
– Eight point
– Rectangular
– Tabular
– Trapezoid
– Triangle
• Estimate parameters
using GIS information
Calibration Techniques
Hydrologic Engineering Center 10
• Match rising limb of
hydrograph
• Match peak discharge
• Use multiple statistical
metrics
– Nash-Sutcliffe Efficiency
– Root Mean Square Error
– Percent Bias
Hydrologic Engineering Center 11
Advantages
• Similar to advantages of the
Muskingum method.
• Predicted values are in accordance
with open channel flow theory.
• Parameters can be estimated using
measurable channel characteristics.
• Can use cross-section shapes that
include overbank areas.
• Good for ungaged reaches.
Disadvantages
• Only appropriate for use in
moderately steep streams (bed
slopes > 2 ft/mi).
• Cannot simulate backwater effects or
impacts of hydraulic structures.
• Method is less parsimonious than
Muskingum; it requires many more
parameters.
• Muskingum-Cunge method recreates classical open
channel flow phenomena
• Parameters can be estimated using physically
measurable characteristics
• Great for locations with little to no observed
discharge data
• Requires a greater number of parameters than
simpler methods
Review
Hydrologic Engineering Center 12

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L 10 d muskingum cunge routing method

  • 1. Hydrologic Engineering Center 1 Muskingum-Cunge Routing Method within HEC- HMS
  • 2. Objectives • Introduce the Muskingum-Cunge routing method • Present an example • Discuss common parameter estimation and calibration techniques • Present advantages and disadvantages Hydrologic Engineering Center 2
  • 3. Muskingum-Cunge Method • Builds upon the Muskingum method – Within the Muskingum method, the X parameter (i.e. attenuation) is not physically based • Cunge set numerical diffusion equal to physical diffusion – This allowed for parameters to be physically-based as well as improving accuracy and applicability 3 Hydrologic Engineering Center
  • 4. Equations of Motion – Continuity: – Momentum: A V x VB y x B y t q          t V g x V g V x y S S o f           1 4 Hydrologic Engineering Center           A t Q x q Continuity Eqn S S Y x Diffusion form l f o
  • 6. Parameter Estimation – Reach Length and Friction Slope 6 Hydrologic Engineering Center • Compute reach characteristics – Parameters | Characteristics | Reach • Friction slope can be initially estimated using bed slope – If slope varies significantly, it may be necessary to use multiple reaches with different slopes
  • 7. Parameter Estimation – Manning’s Roughness 7 Hydrologic Engineering Center • Average value for the whole reach • Estimate using “reference” streams or through calibration Bayou de Loutre near Farmerville, LA Computed roughness: n = 0.11 Depth of flow: 3.6 ft
  • 8. Parameter Estimation – Space-Time Interval and Index Method 8 Hydrologic Engineering Center • Critical to ensure accuracy and stability • Three Space-Time Interval options: – Auto DX Auto DT – Specified DX Auto DT – Specified DX Specified DT • Two Index options: – Flow – Celerity • 5 ft/s
  • 9. Parameter Estimation – Cross Section 9 Hydrologic Engineering Center • Six shapes: – Circle – Eight point – Rectangular – Tabular – Trapezoid – Triangle • Estimate parameters using GIS information
  • 10. Calibration Techniques Hydrologic Engineering Center 10 • Match rising limb of hydrograph • Match peak discharge • Use multiple statistical metrics – Nash-Sutcliffe Efficiency – Root Mean Square Error – Percent Bias
  • 11. Hydrologic Engineering Center 11 Advantages • Similar to advantages of the Muskingum method. • Predicted values are in accordance with open channel flow theory. • Parameters can be estimated using measurable channel characteristics. • Can use cross-section shapes that include overbank areas. • Good for ungaged reaches. Disadvantages • Only appropriate for use in moderately steep streams (bed slopes > 2 ft/mi). • Cannot simulate backwater effects or impacts of hydraulic structures. • Method is less parsimonious than Muskingum; it requires many more parameters.
  • 12. • Muskingum-Cunge method recreates classical open channel flow phenomena • Parameters can be estimated using physically measurable characteristics • Great for locations with little to no observed discharge data • Requires a greater number of parameters than simpler methods Review Hydrologic Engineering Center 12