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8/9/2019 Green Infrastructure Modeling
1/17
Green Infrastructure Modeling
Andrew Parker
Water Resources Modeling Group Director
2010 Regional Water Quality and
Green Infrastructure ConferenceMay 13-14, 2010
Dallas, Texas
Presentation Overview
Modeling basics
Models and calculators
applied to green
infrastructure
BMP design
Site developmentWatershed
management Applications
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Input Model Output
Others
Factor 1
Rainfall Event
Pollutant Buildup
Land use
System
Soil
Stream
Pt. Source
Factor 2
Factor 3
Response
What is a model? A theoretical construct,
together with assignment of numerical
values to model parameters,
incorporating some prior observations
drawn from field and laboratory data,
and relating external inputs or forcing
functions to system variable responses
* Definition from: Thomann and Mueller, 1987
What constitutes a model?
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Why use a model or calculator?
Applications
Multiple scales of planning site to watershed
Other TMDLs, permitting, remediation, design
Purpose
Determine stormwater runoff quantity (total and
peak)
Determine pollutant load reductions and water
quality benefits
Monetize costs and benefits Facilitate design
Model Categories Landscape models
Runoff of water and materials on and through the
land surface
Receiving water models
Crops
Pastu
re
Urban
Flow of water through streams and into lakes and
estuaries
Transport, deposition, and transformation in receiving
waters
Watershed models Combination of landscape and receiving water
models
Site-scale models
Detailed representation of local processes, for
example Best Management Practices (BMPs)
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Model Basis Empirical formulations
mathematical relationship
based on observed data
rather than theoretical
relationships
Deterministic models mathematical models
designed to produce system
responses or outputs to
temporal and spatial inputs
(process-based)
Model Selection
Utility
Ability to answer key management questions and convey results
Relevance
Representation of key processes
Assumptions and limitations
Scale of application
Credibility
Peer-reviewed
Public domain Usability
Availability of documentation, training, and support
Availability and accessibility of data to run model
Model and user interface is reliable and tested
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Typical Modeling Process
(simple models may skip or leave out steps)
Phase I
Phase II
Phase III
Modeling Approach Development
Data Collection (historic, field monitoring)
Model Input Preparation and Configuration
Calibration
Validation
Verification
Follow-up Monitoring OptionalPost-audit
Analysis of Alternatives/Scenarios
Simple Models and Calculators Common Calculation
Methods
Runoff Volume
Runoff Curve Number
Method (TR-55)
Small Storm
Hydrology Method
Infiltration Models
Peak Runoff Rate
NRCS Unit
Hydrograph Method
Rational Method
Pollutant Loading
Simple Method
Typical DataNeeds Land use
Soil types
Rainfall data
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More Complicated Models
Uses
Can evaluate site scale to watershed scale
impacts of land use decisions
More accurately estimate stormwater benefits
of green infrastructure
Can be used for single-event or continuous
simulation
Limitations
Data intensive
Require specific expertise to apply
Models for Green Infrastructure
BMP design Properly size and configure practices
Evaluate effectiveness of BMP after design and construction
Site development Evaluate effectiveness of multiple practices for
hydrology and water quality Optimize selection and placement of practices
Watershed management Analyze watershed-wide implementation
Program evaluation
CSO reduction
TMDL compliance
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BMP Design RECARGA (University of Wisconsin-
Madison Bioretention/Rain Gardens)
Green Save Calculator (Green Roofs)
CityGreen (Tree Canopy and Green
Space)
RECARGAUniversity of Wisconsin-Madison
MATLAB application Design tool for
evaluating
performance of
bioretention facilities
and infiltration
basins
Model can simulate
continuous rainfall, a
single-event, or user
specified volume
User inputs
Rainfall and evaporation file
Drainage area characteristics
Layer characteristics
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GreenSave CalculatorGreen Roofs for Healthy Cities
Web-enabled tool (registrationrequired)
Life-cycle costing tool used to
compare cost of green roof
with conventional roof
Option to publish data to Case
Study database
Modules with minimum and
optional detailed data inputs
Roof durability
Energy use
Stormwater
Heat island
Development fees
Sale-ability/rent-ability
Tenant health and productivity
CityGreenAmerican Forests
ArcGIS extension (not free)
Analyzes ecological and economic
benefits of tree canopy and other green
space
Stormwater Runoff
Runoff volume for 2-year, 24-
hour storm
Based on Runoff Curve
Number (TR-55)
Air Pollution Removal
Pollutant removal capacity of
tree canopy and financial
benefit
Based on US Forest Service air
pollution model
Carbon Storage andSequestration
Amount of carbon stored in
trees and annual carbon
removal
Based on US Forest Service
model
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Site Development Green Values Stormwater Management Calculator
(Center for Neighborhood Technology)
IncreasedComplexity
LID Quicksheet (Milwaukee, WI MSD)
LTHIA (Local Government Environmental Assistance
Networks Long-Term Hydrologic Impact Assessment
Model)
BMP-DSS (Prince Georges County, MDs Best
Management Practice Decision Support System)
SUSTAIN (EPAs System for Urban Stormwater
Treatment and Analysis Integration)
Green Values StormwaterManagement CalculatorCenter for Neighborhood Technology
Web-enabled application
Planning tool with lot and
neighborhood level
calculations
Hydrologic
Financial
Evaluates range of green
infrastructure practices
Pre-defined or custominputs
Landscape details
Cost elements
Integrated pop-up help
screens
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LID QuicksheetMilwaukee Metropolitan Sewerage District
Excel spreadsheet
Evaluates various green
infrastructure features on a
development site to reduce
detention requirements
Can evaluate 2-year and
100-year, 24 hour storm
events
Practices include:
Rain gardens
Rain barrels
Green roofs
Cisterns
Permeable pavement
Long-Term Hydrologic Impact Assessment ModelLocal Government Environmental Assistance Network
Web-enabled tool
Quantifies impact of land use change
on water quantity and quality
Runoff Curve Number approach
30 years of precipitation data topredict yearly runoff
Event Mean Concentrations forpollutant loading estimation
Provides graphical and tabular runoff
volumes and associated pollutant
loads Five versions:
Basic L-THIA
Impervious L-THIA
GIS L-THIA
Detailed Input L-THIA
Advanced Input L-THIA
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BMP-DSSPrince Georges County, MD
Developed for detailedsite-scale planning andBMP modeling
Considers hydrology andwater quality
Models individual BMPsor groups of BMPs (e.g.,at watershed scale)
Includes post-processingcapabilities
Watershed Management
STEPL (EPAs Spreadsheet Tool for
Estimating Pollutant Load)IncreasedC
omplexity
BMP-DSS
SWMM (EPAs Storm Water Management
Model)
SUSTAIN
Multiple models used collectively
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STEPL Spreadsheet Model Spreadsheet Tool forEstimating Pollutant Load (STEPL)
Used at the watershed level for nutrients (nitrogen andphosphorus), sediments, and organic compounds (e.g. biochemical oxygen demand)
U.S. EPA Office of Wetlands, Oceans, and Watersheds - Nonpoint
Source Control Branch, Washington, DC
Automatically customized Microsoft Excel application
Easy-to-follow graphical interfaces
Online STEPL input data server
BMP calculator
Assisting federal, state, and local organizations in reportingestimated pollutant reductions of 319 projects to the Grants
Reporting and Tracking System (GRTS)
SWMM
Often used toestimate existingloads
Different BMPscenarios modeled todetermine loadreductions
Considerations
Street sweeping Flow detention and
pollutant removal
Varying hydrologic
and pollutant loading
assumptions
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Fairfax County, VA
SWMM Application
Creating countywide SWMM
watershed models
Representing hydrology
Simulating stormwater BMPs
Creating prioritization strategy to
maximize stormwater and
environmental benefits
Also linking SWMM to HEC-RASmodels for flood analysis
Prince Georges County, MD BMP-DSS Application
Applied to Anacostia Sewershed (Washington, D.C.) to
support CSO alternative analyses
Identified potential LID configuration scenarios
Tested BMP selection
and placement
optimization
Summarized the effectof potential LID
configurations on runoff
volume and CSO inflow
reduction
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Los Angeles County, CA
Multiple Models Developing comprehensive
watershed management decision
support system Dynamic HSPF/LSPC models for watershed
hydrology and transport of multiple pollutants Evaluation of storm size and return frequencies
for identification of management targets Dynamic simulation of BMP processes, including
both distributed LID and centralized facilities Optimization of the most cost-effective
combination and designs of BMPs to meetmanagement objectives
Load reduction quantification to support TMDLimplementation efforts
Cost estimates for County-wide water qualityimprovement planning
System forUrban StormwaterTreatment andAnalysis INtegrationSUSTAIN
U.S. EPA ORD - Edison
A GIS-based framework designed to support decision-
making
Evaluate and select BMPs to achieve loading targets set by a
TMDL
Identify protective management practices and evaluate pollutant
loadings forSource Water Protection
Develop cost-effective management options for a municipal MS4
program
Determine a cost-effective mix of green infrastructure measures to
help meet optimal flow reduction goals in a CSO control study
Released in November 09
http://www.epa.gov/ednnrmrl/models/sustain/index.html
http://www.epa.gov/ednnrmrl/models/sustain/index.htmlhttp://www.epa.gov/ednnrmrl/models/sustain/index.html8/9/2019 Green Infrastructure Modeling
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BMP criteria GIS data Suitable area for BMP placement
SUSTAIN Advantages Multi-scale application
Detailed BMP simulation
Cost consideration
Optimization
Siting Tool
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Background InfiltrationMedia F iltrationSettlingOrifice OutflowBypass Flow
Small Medium
Untreated
Bypass
Attenuated
Orifice Outflow
Media Filtration
(Underdrain
Outflow)
Large
100%
(% Treated)
50%
(% Treated)
10%
(% Treated)
Continuous BMP Simulation
Optimization What is
optimum?
Minimize cost
Maximize pollutant flow and/or load reduction
Subject to BMP size, selection, and placement constraints
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55%24%0%21%
$4.5DRYPOND
RAINBARREL
Selected Simulation
55%24%
0%
21%
BIORETENTION
POROUSPAVEMENT
CostDistribution($Million)
$4.0
$3.5
$3.0
$2.5
$2.0
$1.5
$1.0
$0.5
$0.0
9.9
%
14.1
%
16.6
%
18.4
%
20.3
%
22.1
%
23.4
%
24.2
%
24.8
%
25.7
%
26.6
%
27.3
%
27.9
%
28.5
%
29.6
%
30.2
%
30.6
%
30.8
%
31.1
%
31.6
%
31.8
%
32.1
%
32.4
%
32.9
%
Effectiveness (% Reduction)
Thank you!
Contact Information:
Andrew Parker
(703)385-6000
Optimization