EPA SWMM LID Controls: Modeling Low Impact Development
Low Impact Development (LID) practices have become essential components of modern stormwater management. EPA SWMM 5.2 provides comprehensive LID modeling capabilities that allow engineers to simulate how green infrastructure performs under various rainfall conditions. This tutorial covers the seven LID types available in SWMM and provides guidance for accurate model setup.
Understanding LID Controls in SWMM
SWMM models LID controls as specialized units that can be deployed across subcatchments. Each LID unit consists of multiple vertical layers that interact to capture, store, infiltrate, and/or drain stormwater runoff. The model tracks water movement through these layers using a combination of surface hydrology, unsaturated zone flow, and groundwater interactions.
The seven LID control types available in SWMM 5.2 are:
- Bio-Retention Cells - Vegetated depressions with engineered soil media
- Rain Gardens - Simplified bio-retention without underdrains
- Green Roofs - Vegetated roof systems with drainage mats
- Infiltration Trenches - Gravel-filled trenches for infiltration
- Permeable Pavement - Porous surfaces with aggregate storage
- Rain Barrels - Simple storage containers
- Rooftop Disconnection - Routing roof runoff to pervious areas
Bio-Retention Cell Modeling
Bio-retention cells are among the most effective LID practices, combining surface ponding, soil filtration, and optional underdrain systems. In SWMM, bio-retention uses all five layers.
Surface Layer Parameters
The surface layer controls ponding and evaporation:
| Parameter | Description | Typical Range |
|---|---|---|
| Berm Height | Maximum ponding depth | 6-12 inches |
| Vegetation Volume | Fraction occupied by plants | 0.0-0.2 |
| Surface Roughness | Manning’s n for surface flow | 0.1-0.4 |
| Surface Slope | Percent slope of surface | 0-2% |
Soil Layer Parameters
The soil layer is critical for pollutant removal and flow attenuation:
Where K is the effective hydraulic conductivity, K_sat is saturated conductivity, and K_r is the relative permeability as a function of moisture content theta.
Key soil parameters include:
| Parameter | Description | Bio-Retention Media |
|---|---|---|
| Thickness | Depth of soil media | 18-36 inches |
| Porosity | Void fraction | 0.40-0.50 |
| Field Capacity | Moisture at field capacity | 0.20-0.30 |
| Wilting Point | Permanent wilting point | 0.05-0.10 |
| Conductivity | Saturated hydraulic conductivity | 1-4 in/hr |
| Conductivity Slope | Slope of log(K) vs moisture | 30-60 |
| Suction Head | Wetting front suction head | 2-4 inches |
Storage Layer and Underdrain
The storage layer represents the gravel reservoir below the soil media:
| Parameter | Description | Typical Range |
|---|---|---|
| Height | Depth of gravel layer | 6-12 inches |
| Void Ratio | Void space in aggregate | 0.40 for gravel |
| Seepage Rate | Native soil infiltration rate | Site-specific |
For underdrains, SWMM uses an orifice equation:
Drain parameters include the drain coefficient, drain exponent (typically 0.5), and drain offset height from the bottom of the storage layer.
Example Bio-Retention Setup
For a 500 ft² bio-retention cell treating 5,000 ft² of impervious drainage area:
[LID_CONTROLS]
;;Name Type
BioRetention BC
[LID_USAGE]
;;Subcatchment LID Process Number Area Width InitSat FromImp ToPerv RptFile
S1 BioRetention 1 500 20 0 50 0 *
Permeable Pavement Systems
Permeable pavement combines a porous surface with aggregate storage to infiltrate and detain runoff. SWMM models three distinct layers: surface, pavement, and storage.
Pavement Layer Properties
The pavement layer has unique parameters:
| Parameter | Description | Porous Concrete | Permeable Pavers |
|---|---|---|---|
| Thickness | Pavement depth | 4-6 inches | 3-4 inches |
| Void Ratio | Pore space fraction | 0.15-0.25 | 0.05-0.10 |
| Impervious Fraction | Clogged area | 0.0-0.5 | 0.0-0.3 |
| Permeability | Vertical permeability | 50-200 in/hr | 100-500 in/hr |
| Clogging Factor | Volume to clog voids | 0 (no clogging) | Site-specific |
Design Infiltration Rate
The effective infiltration rate through permeable pavement systems is governed by the most restrictive layer:
For sites with poor native soils (Hydrologic Soil Group C or D), underdrains are typically required.
Green Roof Modeling
Green roofs in SWMM consist of three layers: surface (vegetation), soil (growing media), and drainage mat. They differ from ground-level LIDs in that there is no infiltration to native soil.
Key Parameters
| Layer | Parameter | Extensive Roof | Intensive Roof |
|---|---|---|---|
| Surface | Berm Height | 0 inches | 0-2 inches |
| Soil | Thickness | 3-6 inches | 8-24 inches |
| Soil | Conductivity | 0.5-2 in/hr | 0.5-1 in/hr |
| Drainage | Void Fraction | 0.5-0.7 | 0.5-0.7 |
| Drainage | Roughness | 0.1 | 0.1 |
The drainage mat captures excess water and conveys it to roof drains. SWMM assumes this layer drains freely and does not restrict outflow.
Evapotranspiration Considerations
Green roofs can significantly reduce runoff through evapotranspiration (ET). SWMM calculates ET from the soil layer using:
Where f_1 is a moisture availability factor, K_c is the crop coefficient, and ET_0 is the reference evapotranspiration from climate data.
Rain Barrels and Cisterns
Rain barrels are the simplest LID type in SWMM, consisting only of a storage layer. They capture roof runoff and release it through a drain or overflow.
Barrel Configuration
Key parameters for rain barrel modeling:
| Parameter | Description | Residential Barrel | Commercial Cistern |
|---|---|---|---|
| Height | Storage depth | 2-3 ft | 4-8 ft |
| Void Ratio | Fraction available | 1.0 | 1.0 |
| Drain Coefficient | Drain flow coefficient | 0.5-1.0 | Per design |
| Drain Exponent | Orifice exponent | 0.5 | 0.5 |
| Drain Offset | Height of drain | 0 | Per design |
| Drain Delay | Hours to start draining | 6-24 | Per design |
The drain delay parameter is particularly important for rain barrels, as it simulates time required for active use (irrigation) between storms.
Infiltration Trenches
Infiltration trenches are linear features that capture and infiltrate runoff through gravel-filled excavations. SWMM models them with surface and storage layers.
Trench Parameters
| Parameter | Description | Typical Value |
|---|---|---|
| Berm Height | Surface ponding depth | 6-12 inches |
| Storage Height | Gravel trench depth | 2-4 feet |
| Void Ratio | Gravel void space | 0.40 |
| Seepage Rate | Infiltration to native soil | 0.5-4 in/hr |
The seepage rate should be based on field infiltration tests, not literature values, as native soil conditions vary significantly.
LID Placement and Sizing
Treatment Train Approach
Multiple LID types can be combined in series by routing outflow from one LID to another subcatchment:
- Rooftop drains to Rain Barrel overflow to Rain Garden
- Parking lot sheet flows to Permeable Pavement with underdrain to Bioswale
- Sidewalk drains to Infiltration Trench overflow to storm sewer
Sizing Guidelines
The LID-to-impervious area ratio depends on the LID type and performance goals:
| LID Type | Typical Sizing Ratio | Annual Volume Reduction |
|---|---|---|
| Bio-Retention | 5-10% of drainage area | 50-90% |
| Permeable Pavement | 100% of traffic area | 40-80% |
| Green Roof | 100% of roof area | 30-60% |
| Rain Barrel | 50-100 gal per 500 ft² roof | 10-40% |
| Infiltration Trench | 3-5% of drainage area | 60-90% |
Model Validation Considerations
Monitoring Data
Validating LID models requires field monitoring data including:
- Inflow volume and peak rate
- Outflow (overflow + underdrain) volume and peak rate
- Soil moisture content (if available)
- Water levels in storage layers
Common Calibration Parameters
When calibrating LID models, focus on these sensitive parameters:
- Hydraulic conductivity - Controls infiltration rate
- Storage layer seepage rate - Controls exfiltration
- Soil thickness and porosity - Controls storage volume
- Drain coefficient - Controls underdrain discharge
Performance Metrics
Report LID performance using standard metrics:
Limitations and Best Practices
Known SWMM LID Limitations
- No horizontal flow - Each LID unit is modeled as a vertical column with no lateral flow between units
- Simplified clogging - Clogging is modeled as a gradual decrease in permeability, not particle transport
- Limited winter performance - Frozen ground and snow storage are not explicitly modeled
- No vegetation growth - Plant establishment and seasonal changes are not simulated
Best Practices
- Verify parameters with local data - Use field-measured infiltration rates, not literature values
- Include pre-treatment - Model forebays and sediment chambers as separate units
- Consider maintenance - Reduce long-term performance expectations for unmaintained systems
- Use continuous simulation - Single-event models do not capture antecedent moisture conditions
- Validate with monitoring - Calibrate models against measured performance data when available
References
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Rossman, L.A. (2022). Storm Water Management Model Reference Manual Volume I - Hydrology (Revised). EPA/600/R-15/162A. U.S. Environmental Protection Agency.
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Rossman, L.A. & Huber, W.C. (2016). Storm Water Management Model Reference Manual Volume III - Water Quality. EPA/600/R-16/093. U.S. Environmental Protection Agency.
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Prince George’s County, Maryland. (2007). Bioretention Manual. Department of Environmental Resources.
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American Society of Civil Engineers. (2018). Permeable Pavements. ASCE/T&DI/ASCE-G-IP-02-18.
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National Academies of Sciences, Engineering, and Medicine. (2006). Evaluation of Best Management Practices for Highway Runoff Control. NCHRP Report 565.