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Modelling of runoff from green urban areas
Berislav Tomicic
Introduction
© DHI
• Guideline: ”Modelling of Storm Water Runoff from Green Urban
Areas”, DHI, 2015
− Focus on flood generating events and correct modelling of non-
paved areas (not LID infrastructure)
− Motivation: Need for a “common standard” for modelling
Example 1: On-Shore Gas Terminal Site
© DHI
Area: approx. 45 hectares
Climate and Hydrology
© DHI
4,500 mm rainfall per year, 3,200 mm only in June, July and August!!!
I-D-F Rainfall Statistics
© DHI
© DHI
Rainfall profile: Symmetric Chicago Design Storm (CDS), 24 h
duration,for various return periods
Total depth: 479 mm
Peak intensity (5 min): 600 mm/hour
© DHI
Land use type Area [ha] % of total
Runoff
coefficient
Contributing area
[ha ]
Buildings 1.93 4.29% 0.95 1.83
Roads 2.21 4.92% 0.95 2.10
Canals & Drains 1.66 3.70% 1.00 1.66
Gravel 1.90 4.22% 0.50 0.95
Unpaved 37.21 82.86% 0.30 11.16
Total 44.91 100.00% 0.39 17.71
Impervious and pervious areas, runoff coefficient
(”Rational method”)
Hydrological Losses - Soil Properties (Parameters in Horton’s equation)
© DHI
Final infiltration
capacity (Fc)
Horton's
constant
(mm/hour) (1/hour)
Clay 0.00 - 1.3 4.14
Clayey loam 1.3 - 3.8 4.14
Loam 3.8 – 7.6 4.14
Sand and sandy loam 7.6 – 11.4 4.14
Soil type
Initial infiltration
capacity (F0)
(mm/hour)
Dry sand with little or no
vegetation
127
Dry loam with little or no
vegetation
76.2
Dry clay with little or no
vegetation
25.4
Dry sand with thick
vegetation
254
Dry loam with thick
vegetation
152
Dry clay with thick
vegetation
51
Wet sand with little or no
vegetation
43
Wet loam with little or no
vegetation
25
Wet clay with little or no
vegetation
7.6
Wet sand with thick
vegetation
84
Wet loam with thick
vegetation
51
Wet clay with thick
vegetation
18
Soil type
© DHI
EXAMPLE 2: Copenhagen
© DHI
• Time-Area model: concept of ”reduced area” (contributing area)
• Applicable for impervious areas & drainage system analyses
Rain Reccurence-Dependent Model Parameters
© DHI
Extension of the ”reduced area” concept for impervious areas
Key for Understanding
© DHI
• Fundamental shift of focus
− Drainage system (F <= 10 years) -> runoff from the contributing
area
− Urban flooding (F > 10 years)-> Runoff from entire catchment
Green Areas (pervious) in Urban Catchment under Extreme
Rainfall
© DHI
• Runoff from:
− Impervious areas
− Pervious areas
Green Areas in Urban Catchment under Extreme Rainfall
© DHI
• Runoff from:
− Impervious areas
− Pervious areas
Modelling approach – extending analysis to pervious surfaces
© DHI
• Recent years developments
− Enhancement of applied modelling methods and tools
− Availability of digital terrain models (DEM)
• However – the development was incoherent within Denmark and
worldwide => no ”best practise” recommendation for modelling runoff
from green areas
Modelling of the urban water system
© DHI
• Catchment
• Drainage system
• Terrain surface
Precipitation
© DHI
• Service Level – 10 year return period
• Selection of rainfall
− Synthetic rainfall profiles - Chicago Design Storm – CDS
− Climate change projection of rainfall (factor)
− Duration and Assymetry of CDS rainfall
Design event approach
IDF curve
Simulated flooding
Design event
Hydrological Modelling of runoff from pervious surfaces
© DHI
• Precipitaion-runoff models
− Hydrological losses
− Surface runoff (routing)
Hydrological Losses - Methods
© DHI
• Infiltration as constant loss
• Infiltration as part of initial loss
• Infiltration as proportional loss
• Horton’s equation
• Soil Conservation Service
(SCS) method
• Green-Ampt method
• Model A
• Model B
• UHM
Hydrological Losses - Soil Properties (Parameters in Horton’s equation)
© DHI
Final infiltration
capacity (Fc)
Horton's
constant
(mm/hour) (1/hour)
Clay 0.00 - 1.3 4.14
Clayey loam 1.3 - 3.8 4.14
Loam 3.8 – 7.6 4.14
Sand and sandy loam 7.6 – 11.4 4.14
Soil type
Initial infiltration
capacity (F0)
(mm/hour)
Dry sand with little or no
vegetation
127
Dry loam with little or no
vegetation
76.2
Dry clay with little or no
vegetation
25.4
Dry sand with thick
vegetation
254
Dry loam with thick
vegetation
152
Dry clay with thick
vegetation
51
Wet sand with little or no
vegetation
43
Wet loam with little or no
vegetation
25
Wet clay with little or no
vegetation
7.6
Wet sand with thick
vegetation
84
Wet loam with thick
vegetation
51
Wet clay with thick
vegetation
18
Soil type
Hydrological models for surface runoff in MIKE URBAN
© DHI
• MOUSE Model A (Time-Area)
• MOUSE Model B (Kinematic Wave+Horton)
• MOUSE Model C (Linear Reservoir+Horton)
• MOUSE Unit Hydrograph Model (UHM)
• MIKE 21 – 2D
Model A – Time Area
© DHI
• Reduction factor
• Initial loss
• Concentration time
• Shape of time/area curve
• Control volume balance
• Control flow routing
Overview of MIKE URBAN runoff models
© DHI
C1 C2
Constant
Loss
Proportional
Loss
SCS
method
SCS
Generalized
Loss type category
Wetting one-off N/A
Interception one-off N/A
Surface storage one-off "storage" N/A
Infiltration continuous
Horton's
equation
Evapo-transpiration cntinuous N/A N/A N/A
Time-area
Kinematic
wave
(Manning's
formula)
Computation of runoff
Routing method Linear reservoir Unit hydrograph (various implementations)
"reduction
factor"
Horton's equation
"constant
loss"
"Runoff
coefficient"
SCS Curve number
Beregning af hydrologiske tab
"initial loss"
"wetting"
"initial loss" "initial loss"
"initial
AMC"
"initial
abstraction
depth"
MOUSE OVERVIEW
MOUSE
Model A
Mouse
Model B
Mouse Model C MOUSE UHM
Apply precipitation directly on 2D
© DHI
• Initial loss on 2D raster surface
• Infiltration on 2D raster surface
− Constant, applied uniformly over entire model area
− dfs0 time series, applied uniformly over entire model area
− dfs2 spatially-distributed time series
Schematisation of catchments in 2D raster
© DHI
Recommendation
© DHI
1. Application of a conceptual (lumped) hydrological model, including
computation of all hydrological losses (initial loss and infiltration) and flow
routing, for the entire catchment
Or
2. Application of a conceptual hydrological model, including computation of
relevant hydrological losses (initial loss) and flow routing, for the
impervious areas connected to the drainage network and rainfall load
directly on the 2D overland model surface with adequate handling of
hydrological losses (initial loss and infiltration) and 2D flow routing for the
green (pervious) areas and disconnected impervious areas
Recommendation
© DHI
• Method 1
− Kinematic wave with Horton Infiltration (Model B): MOUSE Surface runoff
model B for entire catchment
− Time/area with initial loss (Model A): MOUSE Surface runoff model A (or
model C) for entire catchment;
• Method 2
− Method (2) applies the concept of loading the 2D model with rainfall and
handling the infiltration loss directly on the 2D surface.
Recommendation
© DHI
• Method A2D
− The time-area model (MOUSE surface runoff model A) or the linear
reservoir model (MOUSE surface runoff model C) is used for impervious,
connected areas, considering only initial loss. Precipitation is applied
directly on the 2D flood model (MIKE FLOOD) for areas not connected to
the drainage system (both pervious and impervious areas)
• Method B2D
− The kinematic surface runoff model (MOUSE Surface runoff model B) is
used for impervious, connected areas, in this case also considering only
initial loss. Precipitation is applied directly on the 2D flood model (MIKE
FLOOD) for areas not connected to the drainage system (both pervious
and impervious areas)
Recommendation
© DHI
Method for computing runoff from green areas
1 2
Conceptual model
Rain directly to 2D overland
surface (2D)
Choiceofconceptualrunoffmodel
Kinematic wave
with Horton's
infiltration model
(B)
Advantages
(B)
 Simplicity: Extension of a well-
known concept
 Widely accepted Horton's
infiltration model
(B2D)
 Potentially the most accurate
results, also for large green
areas without drainage
network
Disadvantages
(B)
 Unrealistic local overload of
the drainage network in case
of large green areas
 First phase of flood
propagation not realistic, with
green area appearing dry
(B2D)
 Need for additional data
 Extra work on data processing
 Indirect handling of initial loss
 Longer simulation time
Time-Area with
initial loss and
reduction factor
(A)
Advantages
(A)
 Simplicity: Extension of a well-
known concept for urban
catchments hydrology
(A2D)
 Potentially the most accurate
results, also for large green
areas without drainage
network
Disadvantages
(A)
 Conceptualization of the
infiltration process into initial
loss and hydrological
reduction
 Unrealistic local overload of
the drainage network in case
of large green areas
 First phase of flood
propagation not realistic with
green area appearing dry
(A2D)
 Need for additional data
 Extra work on data processing
 Indirect handling of initial loss
 Longer simulation time
Recommendation
© DHI
Recommendation
© DHI
Recommendation
© DHI
Recommendation
© DHI
Conclusion
© DHI
• Accurate modelling of the runoff from green areas under extreme
rainfall loads and urban flooding is possible with existing software.
However, inclusion of green areas introduces complexity in the
modelling through a number of issues that are usually not important
when dealing with impervious urban surfaces alone. Therefore,
caution must be applied when choosing the modelling approach,
rainfall loads and the key model parameters. In general, a new
design standard must be established.
• This modellers’ guideline is a step towards achieving such a
standard.

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4 modellers guide – vejledning fra dhi

  • 1. Modelling of runoff from green urban areas Berislav Tomicic
  • 2. Introduction © DHI • Guideline: ”Modelling of Storm Water Runoff from Green Urban Areas”, DHI, 2015 − Focus on flood generating events and correct modelling of non- paved areas (not LID infrastructure) − Motivation: Need for a “common standard” for modelling
  • 3. Example 1: On-Shore Gas Terminal Site © DHI Area: approx. 45 hectares
  • 4. Climate and Hydrology © DHI 4,500 mm rainfall per year, 3,200 mm only in June, July and August!!!
  • 6. © DHI Rainfall profile: Symmetric Chicago Design Storm (CDS), 24 h duration,for various return periods Total depth: 479 mm Peak intensity (5 min): 600 mm/hour
  • 7. © DHI Land use type Area [ha] % of total Runoff coefficient Contributing area [ha ] Buildings 1.93 4.29% 0.95 1.83 Roads 2.21 4.92% 0.95 2.10 Canals & Drains 1.66 3.70% 1.00 1.66 Gravel 1.90 4.22% 0.50 0.95 Unpaved 37.21 82.86% 0.30 11.16 Total 44.91 100.00% 0.39 17.71 Impervious and pervious areas, runoff coefficient (”Rational method”)
  • 8. Hydrological Losses - Soil Properties (Parameters in Horton’s equation) © DHI Final infiltration capacity (Fc) Horton's constant (mm/hour) (1/hour) Clay 0.00 - 1.3 4.14 Clayey loam 1.3 - 3.8 4.14 Loam 3.8 – 7.6 4.14 Sand and sandy loam 7.6 – 11.4 4.14 Soil type Initial infiltration capacity (F0) (mm/hour) Dry sand with little or no vegetation 127 Dry loam with little or no vegetation 76.2 Dry clay with little or no vegetation 25.4 Dry sand with thick vegetation 254 Dry loam with thick vegetation 152 Dry clay with thick vegetation 51 Wet sand with little or no vegetation 43 Wet loam with little or no vegetation 25 Wet clay with little or no vegetation 7.6 Wet sand with thick vegetation 84 Wet loam with thick vegetation 51 Wet clay with thick vegetation 18 Soil type
  • 10. EXAMPLE 2: Copenhagen © DHI • Time-Area model: concept of ”reduced area” (contributing area) • Applicable for impervious areas & drainage system analyses
  • 11. Rain Reccurence-Dependent Model Parameters © DHI Extension of the ”reduced area” concept for impervious areas
  • 12. Key for Understanding © DHI • Fundamental shift of focus − Drainage system (F <= 10 years) -> runoff from the contributing area − Urban flooding (F > 10 years)-> Runoff from entire catchment
  • 13. Green Areas (pervious) in Urban Catchment under Extreme Rainfall © DHI • Runoff from: − Impervious areas − Pervious areas
  • 14. Green Areas in Urban Catchment under Extreme Rainfall © DHI • Runoff from: − Impervious areas − Pervious areas
  • 15. Modelling approach – extending analysis to pervious surfaces © DHI • Recent years developments − Enhancement of applied modelling methods and tools − Availability of digital terrain models (DEM) • However – the development was incoherent within Denmark and worldwide => no ”best practise” recommendation for modelling runoff from green areas
  • 16. Modelling of the urban water system © DHI • Catchment • Drainage system • Terrain surface
  • 17. Precipitation © DHI • Service Level – 10 year return period • Selection of rainfall − Synthetic rainfall profiles - Chicago Design Storm – CDS − Climate change projection of rainfall (factor) − Duration and Assymetry of CDS rainfall
  • 18. Design event approach IDF curve Simulated flooding Design event
  • 19. Hydrological Modelling of runoff from pervious surfaces © DHI • Precipitaion-runoff models − Hydrological losses − Surface runoff (routing)
  • 20. Hydrological Losses - Methods © DHI • Infiltration as constant loss • Infiltration as part of initial loss • Infiltration as proportional loss • Horton’s equation • Soil Conservation Service (SCS) method • Green-Ampt method • Model A • Model B • UHM
  • 21. Hydrological Losses - Soil Properties (Parameters in Horton’s equation) © DHI Final infiltration capacity (Fc) Horton's constant (mm/hour) (1/hour) Clay 0.00 - 1.3 4.14 Clayey loam 1.3 - 3.8 4.14 Loam 3.8 – 7.6 4.14 Sand and sandy loam 7.6 – 11.4 4.14 Soil type Initial infiltration capacity (F0) (mm/hour) Dry sand with little or no vegetation 127 Dry loam with little or no vegetation 76.2 Dry clay with little or no vegetation 25.4 Dry sand with thick vegetation 254 Dry loam with thick vegetation 152 Dry clay with thick vegetation 51 Wet sand with little or no vegetation 43 Wet loam with little or no vegetation 25 Wet clay with little or no vegetation 7.6 Wet sand with thick vegetation 84 Wet loam with thick vegetation 51 Wet clay with thick vegetation 18 Soil type
  • 22. Hydrological models for surface runoff in MIKE URBAN © DHI • MOUSE Model A (Time-Area) • MOUSE Model B (Kinematic Wave+Horton) • MOUSE Model C (Linear Reservoir+Horton) • MOUSE Unit Hydrograph Model (UHM) • MIKE 21 – 2D
  • 23. Model A – Time Area © DHI • Reduction factor • Initial loss • Concentration time • Shape of time/area curve • Control volume balance • Control flow routing
  • 24. Overview of MIKE URBAN runoff models © DHI C1 C2 Constant Loss Proportional Loss SCS method SCS Generalized Loss type category Wetting one-off N/A Interception one-off N/A Surface storage one-off "storage" N/A Infiltration continuous Horton's equation Evapo-transpiration cntinuous N/A N/A N/A Time-area Kinematic wave (Manning's formula) Computation of runoff Routing method Linear reservoir Unit hydrograph (various implementations) "reduction factor" Horton's equation "constant loss" "Runoff coefficient" SCS Curve number Beregning af hydrologiske tab "initial loss" "wetting" "initial loss" "initial loss" "initial AMC" "initial abstraction depth" MOUSE OVERVIEW MOUSE Model A Mouse Model B Mouse Model C MOUSE UHM
  • 25. Apply precipitation directly on 2D © DHI • Initial loss on 2D raster surface • Infiltration on 2D raster surface − Constant, applied uniformly over entire model area − dfs0 time series, applied uniformly over entire model area − dfs2 spatially-distributed time series
  • 26. Schematisation of catchments in 2D raster © DHI
  • 27. Recommendation © DHI 1. Application of a conceptual (lumped) hydrological model, including computation of all hydrological losses (initial loss and infiltration) and flow routing, for the entire catchment Or 2. Application of a conceptual hydrological model, including computation of relevant hydrological losses (initial loss) and flow routing, for the impervious areas connected to the drainage network and rainfall load directly on the 2D overland model surface with adequate handling of hydrological losses (initial loss and infiltration) and 2D flow routing for the green (pervious) areas and disconnected impervious areas
  • 28. Recommendation © DHI • Method 1 − Kinematic wave with Horton Infiltration (Model B): MOUSE Surface runoff model B for entire catchment − Time/area with initial loss (Model A): MOUSE Surface runoff model A (or model C) for entire catchment; • Method 2 − Method (2) applies the concept of loading the 2D model with rainfall and handling the infiltration loss directly on the 2D surface.
  • 29. Recommendation © DHI • Method A2D − The time-area model (MOUSE surface runoff model A) or the linear reservoir model (MOUSE surface runoff model C) is used for impervious, connected areas, considering only initial loss. Precipitation is applied directly on the 2D flood model (MIKE FLOOD) for areas not connected to the drainage system (both pervious and impervious areas) • Method B2D − The kinematic surface runoff model (MOUSE Surface runoff model B) is used for impervious, connected areas, in this case also considering only initial loss. Precipitation is applied directly on the 2D flood model (MIKE FLOOD) for areas not connected to the drainage system (both pervious and impervious areas)
  • 30. Recommendation © DHI Method for computing runoff from green areas 1 2 Conceptual model Rain directly to 2D overland surface (2D) Choiceofconceptualrunoffmodel Kinematic wave with Horton's infiltration model (B) Advantages (B)  Simplicity: Extension of a well- known concept  Widely accepted Horton's infiltration model (B2D)  Potentially the most accurate results, also for large green areas without drainage network Disadvantages (B)  Unrealistic local overload of the drainage network in case of large green areas  First phase of flood propagation not realistic, with green area appearing dry (B2D)  Need for additional data  Extra work on data processing  Indirect handling of initial loss  Longer simulation time Time-Area with initial loss and reduction factor (A) Advantages (A)  Simplicity: Extension of a well- known concept for urban catchments hydrology (A2D)  Potentially the most accurate results, also for large green areas without drainage network Disadvantages (A)  Conceptualization of the infiltration process into initial loss and hydrological reduction  Unrealistic local overload of the drainage network in case of large green areas  First phase of flood propagation not realistic with green area appearing dry (A2D)  Need for additional data  Extra work on data processing  Indirect handling of initial loss  Longer simulation time
  • 35. Conclusion © DHI • Accurate modelling of the runoff from green areas under extreme rainfall loads and urban flooding is possible with existing software. However, inclusion of green areas introduces complexity in the modelling through a number of issues that are usually not important when dealing with impervious urban surfaces alone. Therefore, caution must be applied when choosing the modelling approach, rainfall loads and the key model parameters. In general, a new design standard must be established. • This modellers’ guideline is a step towards achieving such a standard.