modelling lids using pcswmm - trieca conference

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Modelling LIDs using PCSWMM and EPA SWMM5 March 28, 2012 Presented by: Rob James (CHI) Credit to: Lewis Rossman (US EPA)

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Page 1: Modelling LIDs using PCSWMM - TRIECA Conference

Modelling LIDs using PCSWMM and EPA SWMM5

March 28, 2012

Presented by: Rob James (CHI)

Credit to: Lewis Rossman (US EPA)

Page 2: Modelling LIDs using PCSWMM - TRIECA Conference
Page 3: Modelling LIDs using PCSWMM - TRIECA Conference

1977SWMM ported to minicomputer

1981EPA SWMM 3released

1984PCSWMM released1st PC versionFORTRAN

1988EPA SWMM 4released

2004EPA SWMM 5released

1991PCSWMM4First GUI versionBASIC

1995PCSWMM ‘95First 32-bit Windowsversion - Visual Basic

1998PCSWMM ’98First GIS-based versionVisual Basic

2002PCSWMM 2002Genetic algorithmbased calibration

IBM PC/AT Intel 80-486 IBM PowerPC Intel Pentium III Intel Quad Core

1993SWMM-USERSlistserv

2007PCSWMM.NETFirst multi-threadedversion - C#, .NET 3.5

2010-2011PCSWMM 2011• Real-time flood

forecasting• Integrated 2D

modeling• French, Spanish,

Chinese language versions

Intel i7

Page 4: Modelling LIDs using PCSWMM - TRIECA Conference

Processing power increase over the history of PCSWMM

100,000,000

TIMES

Page 5: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM`s computational grid at CHI

1,000,000,000,000

FLOPS

Page 6: Modelling LIDs using PCSWMM - TRIECA Conference

So how much is 1 trillion floating point operations?

1 x 60s x 60m x 2100h x 40y

302,400,000

1,000,000,000,000= 0.03%

Page 7: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM: Spatial DSS for EPA SWMM5

Page 8: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM: Spatial DSS for EPA SWMM5

Page 9: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM/SWMM5 LID toolbox

• Physically-based processes

• Flexible components

• SWMM Version 5.0.022

• Simplifies the modeling of:– Lot level implementations

– Watershed scale or city master planning

– Single event

– Continuous

– Performance degradation

Page 10: Modelling LIDs using PCSWMM - TRIECA Conference

Examples of SWMM5 LID controls

Vegetative Swale Rain Garden

Street Planter

Rain Barrel

Porous Pavement Infiltration Trench

Page 11: Modelling LIDs using PCSWMM - TRIECA Conference

EPA SWMM5 LID toolkit: follows the methodology of PCSWMM for PP

Page 12: Modelling LIDs using PCSWMM - TRIECA Conference

Conceptual Model of an LID Process

Surface Zone

Soil Zone

Storage Zone

Runon

Infiltration

Percolation

Infiltration

Overflow

Underdrain

ET

Page 13: Modelling LIDs using PCSWMM - TRIECA Conference

Flow Balance Equations

11101 qfeqt

d

pfeft

D 212

3333 qfeft

dp

Surface d1

Soil

Storage d3

q0

f1

fp

f3

q1

q3

e1, e2, e3

D2

Page 14: Modelling LIDs using PCSWMM - TRIECA Conference

Infiltration Flux

Classical Green-Ampt Eqn: (depth d is normally ignored) F

dKf sat

))((1

0

2

4

6

8

10

12

14

0 5 10 15 20 25 30

Time (minutes)

Infi

ltra

tio

n R

ate

(in

/hr)

depth included depth ignored

0

1

2

3

4

5

6

7

0 50 100 150 200 250 300 350 400

Time (minutes)

Po

nd

ed

Dep

th (

inch

es)

depth included depth ignored

Effect of ponded depth (d) on infiltration rate (Ksat = 0.5 in/hr)

Page 15: Modelling LIDs using PCSWMM - TRIECA Conference

DKf p

)(1)(

Rate of percolation (fp) through the unsaturated soil zone as a function of moisture content ( is described by Darcy’s Law:

))(exp( HCOKK sat

))(exp(135 PCOFC

K = hydraulic conductivity, = capillary tension, = porosity, FC = field capacity, and HCO and PCO are coefficients.

Percolation Flux

Page 16: Modelling LIDs using PCSWMM - TRIECA Conference

Outflow Fluxeso Flux rates are functions of zone’s water depth (d)

o Surface zone

– Overland flow using Manning’s formula

Q = (1.49/n)AR2/3S1/2 where A and R depend on d

– Overflow using the weir equation

Q = CWL(d)1.5

o Storage zone underdrain flow

Q = CD(d)

n = Manning’s roughness, A = flow area, R = hyd. radius, S = surface slope, L = length of weir crest, and Cw, CD, and are coefficients.

Page 17: Modelling LIDs using PCSWMM - TRIECA Conference

Representing Different LID Alternatives

LID Alternative Zones Processes (besides ET)

Rain Barrel Surface,

Storage

Surface Overflow

Storage Underdrain Flow

Porous Pavement Surface,

Storage

Surface Overland Flow

Storage Infiltration*

Infiltration Trench Surface,

Storage

Surface Overflow

Storage Infiltration

Vegetative Swale Surface Surface Overland Flow

Surface Infiltration

Bioretention Cell Surface,

Soil,

Storage

Surface Overflow

Soil Infiltration

Soil Percolation

Storage Infiltration*

*May also include storage underdrain flow

Page 18: Modelling LIDs using PCSWMM - TRIECA Conference

Bio-retention cell – ‘Street Planter’

Page 19: Modelling LIDs using PCSWMM - TRIECA Conference

LID example: Valleyfield, PQ

• New residential development to include 22 boulevard planters

• Reduce minor system inflow

• Reduce pollutant loading

Page 20: Modelling LIDs using PCSWMM - TRIECA Conference

Boulevard Planters

Page 21: Modelling LIDs using PCSWMM - TRIECA Conference

Alternate designs

Page 22: Modelling LIDs using PCSWMM - TRIECA Conference

Valleyfield, Quebec – LID retrofit example

Bio-retention cell to be installed in typical residential neighbourhood

Page 23: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM LID representation

Page 24: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM LID representation: surface

Page 25: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM LID representation: surface storage

Page 26: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM LID representation: soil

Page 27: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM LID representation: storage

Page 28: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM LID representation: tile drain

Page 29: Modelling LIDs using PCSWMM - TRIECA Conference

Continuous LID analysis

Page 30: Modelling LIDs using PCSWMM - TRIECA Conference

Continuous LID analysis: small events

Page 31: Modelling LIDs using PCSWMM - TRIECA Conference

Continuous LID analysis: large events

Page 32: Modelling LIDs using PCSWMM - TRIECA Conference

Continuous LID analysis: clogging potential

Page 33: Modelling LIDs using PCSWMM - TRIECA Conference

Enabling continuous LID analysis: Rainfall Processing with PCSWMM

Page 34: Modelling LIDs using PCSWMM - TRIECA Conference

Runoff for 1-inch, 6-hr Event

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00

Ru

no

ff (

cfs

)

No Planters 3 Planters 5 Planters

Rossman (2009)

Page 35: Modelling LIDs using PCSWMM - TRIECA Conference

Effect of Number of Planters

0

10

20

30

40

50

60

70

80

90

0 1 2 3 4 5 6

Number of Planters

Perc

en

t R

un

off

Rossman (2009)

Page 36: Modelling LIDs using PCSWMM - TRIECA Conference

36

Loss of Stored Water Over Time

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

0 10 20 30 40 50

Time (hrs)

Losses (in/hr) Storage Depth (ft)

Rossman (2009)

Page 37: Modelling LIDs using PCSWMM - TRIECA Conference

Runoff With No Planters

Elapsed Time (days)

400350300250200150100500

Ru

no

ff (

CF

S)

0.8

0.6

0.4

0.2

0.0

Runoff With Five Planters

Elapsed Time (days)

400350300250200150100500

Ru

no

ff (

CF

S)

0.8

0.6

0.4

0.2

0.0

Long Term Performance

Rossman (2009)

Page 38: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College Demonstration Project

Page 39: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: lot-level analysis

Page 40: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: subcatchments

Page 41: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College : roof to cistern

Page 42: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: roof to landscaping

Page 43: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College : absorbent landscaping

Page 44: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: bio-retention area

Page 45: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College : parking lot 2

Page 46: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: oil & grit separator

Page 47: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: parking lot 2

Page 48: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: permeable pavement

Page 49: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: wet pond

Page 50: Modelling LIDs using PCSWMM - TRIECA Conference

Olds College: Irrigation

Page 51: Modelling LIDs using PCSWMM - TRIECA Conference

Continuous simulation of re-use

Page 52: Modelling LIDs using PCSWMM - TRIECA Conference

Irrigation

If the rainfall in the preceding two days is more than 10 mm, irrigation is delayed.

Page 53: Modelling LIDs using PCSWMM - TRIECA Conference

Irrigation

• Rule 1IF SIMULATION MONTH = 5AND SIMULATION DAY = 6AND NODE SU_RG DEPTH = 0AND NODE SU DEPTH > 2THEN PUMP P1 SETTING = 1

• Rule 2IF SIMULATION MONTH = 6AND SIMULATION DAY = 3AND NODE SU_RG DEPTH = 0AND NODE SU DEPTH > 2THEN PUMP P1 SETTING = 1

• Rule 3IF SIMULATION MONTH = 6AND SIMULATION DAY = 6AND NODE SU_RG DEPTH = 0AND NODE SU DEPTH > 2THEN PUMP P1 SETTING = 1.5ELSE PUMP P1 STATUS = OFF

Page 54: Modelling LIDs using PCSWMM - TRIECA Conference

Single event LID analysis: detention pond sizing

Page 55: Modelling LIDs using PCSWMM - TRIECA Conference

Design storm analysis: pond sizing no LIDs

Page 56: Modelling LIDs using PCSWMM - TRIECA Conference

Design storm analysis: pond sizing with LIDs

Page 57: Modelling LIDs using PCSWMM - TRIECA Conference

PCSWMM/SWMM5 LID modeling

• Physically-based processes

• Flexible components

• SWMM Version 5.0.022

• Simplifies the modeling of:– Lot level implementations

– Watershed scale or city master planning

– Single event

– Continuous

– Performance degradation